Book 3 · 30 to 40 pages
New Game+
Press Start to Consult: the 100% completion tome.

#Title Screen
You are Cosmo, and a chair in the Dungeon has your name on it.
#Three books, one universe
The Warp Zone is the three-page cheat sheet for the night before an interview. Story Mode is ten pages, enough to run a full case with a partner. New Game+ is the completion run. Read it front to back before your first live case, then treat it as a reference.
One coach framed the whole exercise as a selection test that runs both ways: the case compresses the job into thirty minutes, so if you enjoy this kind of problem solving you will enjoy the work. Dread the half hour, and you have learned something about the next two years before you sign anything.
#HP, MP, XP
HP is composure. It drains when a number comes out wrong on camera or Player 2 pushes back. You refill it by asking for the Pause Menu and rounding to a friendly number out loud.
MP is mental math capacity. Spells cost MP, and a tired caster fumbles a 12.5% that a rested one would land. You grow the bar with the ten-minute daily drill in the Spellbook.
XP is live cases completed out loud with a partner. Reading this tome earns zero XP. One coach put it this way: a flawless case delivered to your own shoes earns no offer.
#Co-op, never PvP
The workshop coaches framed Player 2, the interviewer, as your partner in the case. Firms hire the person they want in the team room at 11 pm, so play like that person: think out loud, say why you want each piece of data, and treat pushback as a teammate testing the plan.

#The Quest Line
The Quest Line has four stages: Network, Fit, Case, Offer. The Overworld gets you into the chair, Character Select tests your backstory, the Boss Fight tests your structure, math, and judgment, and the Victory Screen follows.
#Fit versus case
Character Select is the fit interview, or the PEI at McKinsey. A former McKinsey engagement manager told the room that strong candidates have lost offers by over-indexing on the case and under-indexing on fit. The same coach added that nobody grew up planning to be a consultant, so you learn both halves from zero. Split your prep time between them.
#The three worlds

| World | Format | Player 2 | Timing and notes |
|---|---|---|---|
| World 0 (the gate) | Recruiter screen, then a digital assessment | A recruiter, then software | Short call, sometimes with a mini case |
| World 1 | Two video cases | Senior associates or managers, 2 to 4 years out of business school | 30 minutes each |
| World 2 | Two or three in-person cases | Junior partners and partners, 4 to 20 years in | 45 minutes each |
A case runs about 30 minutes, and 45 to 60 with behavioral questions attached. One coach described his McKinsey format: 10 minutes of chit-chat, then 50 minutes for behavioral questions and the case.
#Five boss forms
- Mini case. It runs 15 to 20 minutes and shows up in corporate roles and screening calls. Market sizing is its usual prompt.
- One-on-one full case. It runs 25 to 45 minutes, and a coach dated the format to the 1930s. You get a prompt, clarifying questions, the Quest Map, some quant, some creative, and a close.
- Digital, gamified, or AI assessment. It sits before the chair as of 2026, though some firms have moved it inside the main process, and past that bar it counts for little. The full-case skills carry over.
- Presentation interview. One coach described the EY and PwC version: a blank deck of 6 to 8 slides, a spreadsheet with ten tabs, three hours alone in a room, then a presentation to a panel. The hours vary by firm and the shape stays.
- Group interview. Firms use it for PhDs more than MBAs: about seven people share a small room and one case for two hours while the panel watches them work as a team. Expect to skip it.
#The rubric behind Player 2

Firms want three things: structure, problem solving, communication. Behind the rubric sit three questions. The first asks whether you can reason in structures and numbers, and Player 2 reads that off your framework and your math. The second asks about initiative. You show it when you ask for the revenue data because you want to solve the problem, the way an analyst would. The third asks whether people would enjoy working with you and managing you: you are the associate a partner can send to Omaha to sit with the cranky client.
Scoring is broad and qualitative, a handful of big buckets, and weak math or structure shows through them. Firms are hiring future partners, so a slip on step 17 of a segmentation does not decide the outcome. Above the bar beats the badge on your resume.
#Casing beyond consulting
Corporate strategy, general management, marketing, and finance roles case candidates too, and more of them do it each year. Capital One requires multiple mini and full cases, and Bank of America uses mini cases. Delta and Walmart told BYU they wanted stronger casing from MBA recruits, and Disney's corporate strategy group cases its hires. Economic consulting firms run heavier math, because their work is forensic, such as a damages figure for residents after 15 years of pollution. The field runs past the named firms into hundreds of boutiques, and a firm's niche sets how quantitative its cases run. Read the niche before you prep: a shop built on litigation or pricing work asks for more arithmetic than a generalist strategy shop.
#The randomness
The former McKinsey engagement manager listed his own interview cases: floating harbors for disaster relief, retail pricing promotions in Canada, a philanthropy chasing younger donors, cost overruns at an automaker, and CPG soap. He put about a quarter of his firm's cases outside business, such as a police department that cannot recruit officers. The randomness is the point: Player 2 hands you a situation you have not seen and watches you break it into pieces and build it back up.
#Player Inventory I: The Spellbook
Your MP bar measures the arithmetic you can do out loud while Player 2 watches, and the six spells stop at sixth-grade math, single-variable algebra, and fractions. Silent math at your desk is easy, and math with a witness burns through MP, so run the drills below to grow the bar.

#The Skill Tree
Unlock the spells in order, since each leans on the ones below it, and each carries a technique and a drill.
Add (Tier 1). Work left to right from the biggest place value. Wasatch Wheels' product lines this year sum to 330 plus 180 plus 150: the hundreds give 500, the rest give 160, total $660M. Drill: add three numbers from any exhibit out loud without writing the carry.
Subtract (Tier 1). Count up from the smaller number instead of borrowing. Recreation fell from 200 to 180, a gap of 20, and 20 over 200 is 10%, so the line moved -10%. Drill: read two columns of any table and call the change on each row.
Multiply (Tier 2). Split one factor into pieces you can hold. 16.8 times 2 is 32 plus 1.6, so 16.8K units times $2,000 is $33.6M. Drill: two-digit times one-digit for a week, then two-digit times two-digit.
Divide (Tier 2). Swap the division for a fraction you know. 84K e-bikes over 6 years is 14K per year because 6 times 14 is 84. Drill: divide random three-digit numbers by 3, 6, 7, 8, and 12 out loud.
Big Numbers (Tier 3). Strip the units, compute with the small numbers, then restore the units with the K/M/B/T rules below. Drill: five multiplications a day that cross a unit boundary.
Percents (Tier 4). Anchor on 10%, then scale. Drill: take percents of Overworld Atlas numbers, 12% of 340M, 15% of 130M, until you answer on reflex.
#The Fraction Scroll

| Fraction | Percent |
|---|---|
| 1/2 | 50% |
| 1/3 | 33.3% |
| 1/4 | 25% |
| 1/5 | 20% |
| 1/6 | 16.7% |
| 1/7 | 14.3% |
| 1/8 | 12.5% |
| 1/9 | 11.1% |
| 1/10 | 10% |
| 1/11 | 9.1% |
| 1/12 | 8.3% |
| 1/15 | 6.7% |
| 1/20 | 5% |
| 1/25 | 4% |
| 1/30 | 3.3% |
| 1/40 | 2.5% |
| 1/50 | 2% |
| 1/80 | 1.25% |
| 1/100 | 1% |
Case math looks like 130 times 33%: read 33% off the scroll as a third, and a third of 130 is about 43. Run it in reverse for division: 84K over 6 is 84K times 16.7%, so 14K. Memorize the scroll until you say 14.3% on sight of 1/7. One coach put it this way: with the scroll memorized, you look sharper than you are.
#The 1/80 Trick
The atlas lists US life expectancy at 78. Round it to 80 and assume each year of age holds the same share of people. One year of age is then 1/80 of the population, 1.25%, or 4.2M people:
- People 65 and over: 80 minus 65 leaves 15 years, and 15 times 1.25% is about 19%.
- K-12 students: 13 grades times 1.25% is about 16%.
The atlas figures are 60M and 50M, so both estimates land within about 10%, closer than Player 2 needs from a two-second trick.
#Big Numbers: K, M, B, T
K is a thousand, M a million, B a billion, T a trillion, each a thousand times the last. Multiply the units as if they were numbers: K times K is M, M times K is B, M times M is T. Division runs the same way: M over K is K, and M over M leaves a plain number. So 2M e-bikes times $2,000: 2 times 2, M times K, $4B.
Capex of $90M for the assembly plant over a net benefit of $30M per year: M over M cancels, 90 over 30 is 3, so payback is 3 years. Breakeven volume: $30M of fixed cost over the $150 per unit the client saves. Move the decimal until the divisor turns friendly: 30M over 150 is 3M over 15, which is 0.2M, which is 200K units per year. Say each decimal move out loud so Player 2 can follow the zeros.
#Percent Tricks
- 10% then scale. Move the decimal one place to the left, then multiply. 30% of the 2.7M people on the Wasatch Front: 10% is 270K, times 3 is 810K.
- 15% as 10% plus half. 15% of 1.2M Utah households: 120K plus 60K is 180K.
- 25% is a quarter and 12.5% an eighth. Reach for the scroll.
- Rule of 72. Divide 72 by the annual growth rate to get the doubling time. A market growing 8% a year doubles in about 9 years.
- Compounding creeps. For a few years at a modest rate, multiply rate by years, then add about a tenth of that product: three years at 10% is 30% plus 3%, so 33%, since each year grows on the prior year's gain.
#Friendly Numbers, Said Out Loud
Round before you compute, and announce the rounding. Germany holds 84M people. Say "I will round to 80M for clean division, which understates by about 5%," then divide. Player 2 hears you control the error. Pick 5 or 8 instead of 7 for your own assumptions. If Player 2 handed you the 7, keep it. Round it to 8 only where the 7 multiplies, and say the answer runs about 14% high.
Then sense-check before you speak the answer:
- Units. Confirm the answer is a flow, dollars or units per year.
- Magnitude. Recount the zeros against a number you own. A $33.6B Utah e-bike market would mean close to $10,000 per resident per year, and you catch the slip from M to B.
- Round trip. Reverse the last step. If 400K times $150 gave you $60M, check that $60M over 400K returns $150.
#Casting Out Loud
Write the equation before you touch a number: "Households, times ownership rate, divided by replacement years, times price." Then look up and get the nod. Player 2 flags a missing step there for the price of ten seconds. Then narrate each step: "40M cyclists, 60% casual, so 24M." One coach said the failure mode is solving in silence for five minutes and then surfacing with a number.
Most consulting firms do not allow a calculator, Capital One does, and a former Bain consultant told the room that BCG runs video rounds with your hands and paper on camera, so ask the recruiter what your round allows. Build the habit for the firms that make you finish the arithmetic.
#The Ten-Minute Daily Drill
Run it out loud on a timer, with a partner at least twice a week.
| Minutes | Drill |
|---|---|
| 0 to 2 | Fraction Scroll flash: partner calls the fraction, you call the percent, then swap |
| 2 to 4 | Ten two-digit multiplications, spoken, no paper |
| 4 to 6 | Five percents of Overworld Atlas numbers, 10% then scale |
| 6 to 8 | Five divisions with the rounding announced, then the error estimate |
| 8 to 10 | One Sector Codex story problem: equation, number, one line of Loot |
Log the misses, and after two weeks you can see which spell runs short on MP.
#Player Inventory II: The Overworld Atlas

A Sizing Dungeon run and most Number Cruncher fights open on a population, a household count, or an age cohort. Player 2 hands you some of those figures and expects you to carry the rest. This atlas is the loadout.
#The Need-to-Know Rule
The coaches' short list is the minimum: the US population, the city you live in, the city you are interviewing in, two countries or one continent, and a sector's headline figure if the firm works in one sector (Medicare enrollees, 68M, for a healthcare boutique). For you, Cosmo, that means 340M for the US, Provo at 115K inside a Provo-Orem metro of 780K, the interview city (Dallas at 1.3M inside a Dallas-Fort Worth metro of 8M), and, since Wasatch Wheels sells in 25 countries, Germany at 84M, Canada at 40M, and Europe at 745M.
#Deriving Households
E-bikes can go either way, household or person, so say which base you chose: the Utah walkthrough in the Sizing Dungeon uses households, and the German walkthrough in Boss Fight I uses riders. Divide population by household size. The US runs 340M at 2.5 per household, and that division overshoots the atlas row of 130M, because 8M Americans live in dorms and care homes and the true average runs above 2.5. Use 130M. Utah runs 3.5M at 3.0, so 1.2M households. A former McKinsey engagement manager put Manhattan near 1.5. The Census Bureau counts it nearer 2. Either passes the reasonable test if you say which one you are using and why. For a metro with no household row, borrow the state figure: Salt Lake City metro 1.3M divided by 3.0 is about 430K households.
#Deriving Age Cohorts
Run the Spellbook's 1/80 trick. Spread an 80-year lifespan into even slices, and each year of age is 1.25% of the population, 4.2M people in the US. A cohort's share is its span in years times 1.25%, which lands within two points of the atlas rows, so use the trick for slices with no atlas row: ages 25 to 44 span 20 years, and 20 times 4.2M is about 84M Americans. Then tilt for the place, Utah young and Florida old, and say the tilt out loud so Player 2 can nod.
#The Atlas
The metro is the market for most sizing, so say which figure you mean: New York City at 8.3M and the New York metro at 20M are different quests. Match the base to the client's channel: a dealer network sells to a metro, a state law applies to a state, and a bike-share contract with a city hall fits the city-proper figure.
World and United States
| Figure | Value |
|---|---|
| World population | 8.2B |
| World GDP | $120T |
| US population | 340M |
| US GDP | $30T |
| US households | 130M |
| US average household size | 2.5 |
| US healthcare spending | $5.3T |
| US retail sales per year | $7.5T |
US Demographics
| Figure | Value |
|---|---|
| US adults 18+ | 260M |
| US under 18 | 73M |
| US 65+ | 60M |
| US labor force | 170M |
| US K-12 students | 50M |
| US college students | 19M |
| People per single year of age | 4.2M |
| Share per single year of age | 1.25% |
| US median household income | $80K |
| US life expectancy | 78 |
Utah
| Figure | Value |
|---|---|
| Utah population | 3.5M |
| Utah households | 1.2M |
| Utah average household size | 3.0 |
| Wasatch Front population | 2.7M |
| Salt Lake County | 1.2M |
| Utah County | 720K |
| Salt Lake City (city proper) | 210K |
| Salt Lake City metro | 1.3M |
| Provo (city proper) | 115K |
| Provo-Orem metro | 780K |
| BYU total enrollment | 34K |
States
| State | Population | State | Population |
|---|---|---|---|
| California | 39M | Michigan | 10M |
| Texas | 31M | Washington | 8M |
| Florida | 23M | Arizona | 7.5M |
| New York | 19.5M | Massachusetts | 7M |
| Pennsylvania | 13M | Colorado | 6M |
| Illinois | 12.5M | Utah | 3.5M |
| Ohio | 11.8M | Nevada | 3.3M |
| Georgia | 11M | Idaho | 2M |
| North Carolina | 11M |
Metros and City Proper
| Metro area | Metro population | City proper |
|---|---|---|
| New York metro | 20M | 8.3M |
| Los Angeles metro | 13M | 3.8M |
| Chicago metro | 9.5M | 2.7M |
| Dallas-Fort Worth metro | 8M | 1.3M (Dallas) |
| Houston metro | 7.5M | 2.3M |
| San Francisco Bay Area | 7.5M | 800K (San Francisco) |
| Washington DC metro | 6.3M | 700K |
| Atlanta metro | 6.3M | 500K |
| Miami metro | 6.2M | n/a |
| Philadelphia metro | 6.2M | 1.55M |
| Phoenix metro | 5M | 1.7M |
| Boston metro | 5M | 650K |
| Seattle metro | 4M | 750K |
| Minneapolis-St. Paul metro | 3.7M | n/a |
| Denver metro | 3M | 720K |
| Austin metro | 2.5M | 1M |
| Salt Lake City metro | 1.3M | 210K |

Countries
| Country | Population | Country | Population |
|---|---|---|---|
| India | 1.44B | Vietnam | 100M |
| China | 1.41B | Iran | 90M |
| United States | 340M | Turkey | 86M |
| Indonesia | 280M | Germany | 84M |
| Pakistan | 255M | United Kingdom | 68M |
| Nigeria | 230M | France | 68M |
| Brazil | 215M | Italy | 59M |
| Bangladesh | 175M | South Korea | 52M |
| Russia | 145M | Spain | 48M |
| Mexico | 130M | Canada | 40M |
| Japan | 124M | Saudi Arabia | 36M |
| Philippines | 115M | Australia | 28M |
| Egypt | 110M |
Regions
| Region | Population |
|---|---|
| Asia | 4.8B |
| Africa | 1.5B |
| Europe | 745M |
| European Union | 450M |
| Latin America and Caribbean | 660M |
| North America (US, Canada, Mexico) | 510M |
| South America | 440M |
| Oceania | 45M |
#Three Worked Derivations
State the assumptions first, then the arithmetic.
Utah households with a child under 18. Start with 3.5M people. The US under-18 share is 73M of 340M, about 21%. Utah households run 3.0 against the US 2.5, so read that as more families and tilt to 25%: about 875K children. Assume two children per family that has any, and you get about 440K households, more than a third of Utah's 1.2M. Loot: a cargo-bike push in Utah targets about 440K family households, and children per family is the assumption to firm up with a census pull before the model reaches Dana Okafor.
Workers along the Wasatch Front. The US labor force is 170M of 340M, one half, so assume 50%. Utah's extra children pull that share down, and its adults work at a higher rate than the country's, so hold 50% and say why. The Wasatch Front has 2.7M people, and 2.7M times 50% is about 1.35M workers. Loot: the commuter line's home market is about 1.35M workers, and the next quest is the share within a rideable commute.
Floridians 65 and over. Florida has 23M people. The national share is 60M of 340M, about 18%, and retirees move to Florida, so tilt to 20%. Then 23M times 20% is about 4.6M. Loot: one state holds close to 8% of the country's 65+ population, and the next quest is the share still riding, since ownership falls with age.
#The Missing Number
Ask. The coaches were blunt: Player 2 runs the case to watch what you do with a number and will hand you Argentina's population on request. If Player 2 returns the question with "what would you assume," anchor on a country of similar size that you do know: Argentina sits near Spain's 48M and Canada's 40M, so call it 45M, flag it as an assumption, and move on. If you reach Boss Fight I and find a figure from the Opening Cutscene unconfirmed, ask then. A wrong input poisons the math and the loot behind it.
#Player Inventory III: Sector Codex, Healthcare

A former McKinsey engagement manager told the room that a healthcare-focused firm expects you to know the Medicare enrollee count the way you know the US population.
#Follow the Money
Four parties share $5.3T a year, $15.5K per person. Follow the money between them.
Patients receive care and pay a slice through premiums, deductibles, and copays. A payer sets or negotiates the price, so patient price sensitivity matters less than it does for e-bikes.
Payers collect premiums or tax dollars and pay claims: Medicare (68M: 65 and over, plus younger people with disabilities), Medicaid and CHIP (72M), employer plans (155M lives), and the ACA marketplace (24M), with 8% of people uninsured. Low-income seniors sit in two payer groups, so the figures do not sum to 340M.
Providers deliver care and bill the payer: 6,100 hospitals with 920K beds, 1M active physicians, 3.3M registered nurses. Hospital care takes 30% of spending, yet a typical hospital clears a 1% to 4% operating margin.
Pharma sells through three big wholesalers, and pharmacy benefit managers negotiate rebates for payers. Device makers sell to hospitals through group purchasing contracts, distributors, and their own reps. Generics fill 90% of prescriptions for 20% of drug dollars, so brands take 80% of the money. A new drug costs $2B+, and 10% of Phase I entrants reach approval.
A prompt about who pays whom (a payment model, a pharma launch, a payer entering a market) splits into these four regions. A profitability or entry prompt follows its own skill tree, with the payer flow inside the revenue region.
#The Codex Table
| Entry | Figure |
|---|---|
| US healthcare spending | $5.3T |
| Healthcare share of US GDP | 18% |
| Spending per person | $15.5K |
| Hospital care share of spending | 30% |
| Physician share of spending | 20% |
| Retail drugs share of spending | 9% |
| Medicare enrollees | 68M |
| Medicaid and CHIP enrollees | 72M |
| Employer-sponsored covered lives | 155M |
| ACA marketplace enrollees | 24M |
| Uninsured share of population | 8% |
| US hospitals | 6,100 |
| US hospital beds | 920K |
| Active physicians | 1M |
| Registered nurses | 3.3M |
| Typical hospital operating margin | 1% to 4% |
| Average hospital length of stay | 4.5 days |
| Typical hospital occupancy | 65% to 70% |
| Medicare 30-day readmission rate | 15% |
| MLR floor, individual and small group | 80% |
| MLR floor, large group | 85% |
| Generics share of prescriptions | 90% |
| Generics share of drug spend | 20% |
| Cost of a new drug to market | $2B+ |
| Drug development timeline | 10 to 15 years |
| Phase I to approval success rate | 10% |
#Metrics in Cases
- PMPM (per member per month): a plan's revenue or medical cost per covered life per month, so members times 12 times PMPM gives the year.
- MLR (medical loss ratio): the share of premium dollars an insurer pays out as claims, with legal floors of 80% and 85%.
- ALOS (average length of stay): days per inpatient admission, 4.5 on average. Under fixed per-admission payment, a shorter stay earns the same revenue at lower cost.
- Occupancy: occupied over staffed beds, 65% to 70% for a typical hospital. Beds times occupancy times 365 gives bed-days, and bed-days divided by ALOS gives admissions.
- Readmissions: discharged patients back inside 30 days, 15% for Medicare, which fines hospitals above their expected rate.
- Payer mix: a provider's revenue split across Medicare, Medicaid, commercial, and self-pay. Commercial pays the most, so a richer commercial mix lifts margin without touching volume.
- Case mix: an index of patient sickness. Sicker patients cost and pay more per admission, so compare margins across similar case mix.
#Two Mini Prompts
Prompt one, sized. Player 2 says: a 300-bed Wasatch Front hospital wants 15% more inpatient revenue without building. Size current capacity and find the lever.
Run it as a Sizing Dungeon and flag $15K per admission as your least-supported number.
| Floor | Assumption | Calculation |
|---|---|---|
| Staffed beds | prompt | 300 |
| Occupied beds | 70% occupancy | 300 times 70% is 210 |
| Bed-days | 365 days | 210 times 365 is about 77K |
| Admissions | ALOS 4.5 days | 77K divided by 4.5 is about 17K |
| Revenue | $15K per admission | 17K times $15K is about $255M |
Revenue is admissions times revenue per admission, so split the levers into volume (ALOS, occupancy) and rate (contract renewal, payer mix, case mix). Start with volume: the prompt rules out building, and a rate move waits on the next contract cycle.
The Loot: ALOS from 4.5 to 4.0 days adds 12.5% more admissions, and occupancy from 70% to 80% adds 14% more bed-days, so neither move reaches 15% on its own. ALOS to 3.9 days does (4.5 divided by 3.9 is about 1.15). Pull neither lever until you confirm the hospital turns patients away today: check ED boarding hours and transfer refusals. Lead with ALOS, since a shorter stay costs less per admission and more filled beds mean more nurses. Next: ALOS by service line and post-acute discharge bottlenecks.
Prompt two, structured. Player 2 says: a regional health plan with 500K members may subsidize a Wasatch Wheels commuter e-bike for members who ride to work. Structure whether it pays.
Build a Quest Map with four regions. Cost: subsidy times uptake (2% of 500K is 10K bikes at $500, so $5M), admin, and injury claims. Benefit: the medical cost PMPM each rider avoids, times riders, times months, plus the members the perk keeps. Delivery: dealer fulfillment, eligibility rules, and fraud checks. Risk: selection bias, since members who claim the subsidy already ride and bring no new savings, and churn of 15% to 20% a year.
Run the breakeven before Player 2 asks: $5M across 10K riders over 12 months needs $42 PMPM per rider, a 7% cut of commercial medical cost near $600 PMPM in one year from one bike, which fails the reasonable test. Hold the one-year test, because churn takes the rider before a longer payback lands. The Loot: the medical savings fall short on their own, so run the program as a retention play or point it at a high-cost cohort. First analysis: claims for today's bike commuters against matched members who do not ride.
#Player Inventory III: Sector Codex, Supply Chain and Operations

Operations cases carry more numbers per minute than any other boss form, so load this page into MP first. Logistics costs the US about 9% of GDP, $2.5T a year, and trucks carry 72% of freight tonnage.
#Inventory Turns
Inventory turns equal cost of goods sold divided by average inventory: how often a year the warehouse empties and refills. Benchmarks: grocery 12 to 15, general merchandise retail 4 to 8, industrial manufacturing 4 to 6, auto dealers 3 to 5. Holding stock costs 20% to 30% of its value each year in capital, space, and obsolescence, so a client turning slower than its sector has cash asleep on the shelf.
#DIO, DSO, DPO, and the Cash Conversion Cycle
Days inventory outstanding (DIO), days sales outstanding (DSO), and days payables outstanding (DPO) divide inventory, receivables, and payables by their daily flows: cost of goods sold for DIO and DPO, revenue for DSO. DIO equals 365 divided by turns. The cash conversion cycle is DIO plus DSO minus DPO: the days you fund the company between paying suppliers and collecting from dealers.
Wasatch Wheels has revenue of $600M. Assume cost of goods sold $360M, inventory $90M, dealer receivables $50M, and supplier payables $60M.

- Turns: $360M divided by $90M = 4, so DIO = 365 divided by 4, about 90 days
- DSO: $50M divided by $600M, times 365, about 30 days
- DPO: $60M divided by $360M, times 365, about 60 days
- Cash conversion cycle: 90 plus 30 minus 60 = 60 days
The Loot: one day of inventory ties up about $1M ($360M divided by 365), so cutting DIO by 10 days frees $10M and saves $2M to $3M a year in carrying cost.
#Service Levels
Fill rate is the share of demand you ship from stock on the first try. Target 95% to 98%. OTIF means on time and in full against the requested date. Typical is 85% to 95%, best-in-class 95%+. Perfect order adds damage free and billed clean. Multiply the four rates: 95% times 97% times 99% times 98% is 89%, a surprise to executives holding four high scores. Inventory accuracy, system count against shelf count, belongs at 98%+. Below that, you promise dealers stock your pickers cannot find.
#Stock Rules: Safety Stock, EOQ, ABC
Safety stock is the buffer above forecast for demand above plan and replenishment behind schedule. It grows with your service level target, demand variability, and lead-time length and variability, so a two- to three-week ocean leg from Taiwan needs more buffer than a truck from Utah.
Economic order quantity balances ordering cost against carrying cost. The ideal order grows with the square root of demand, so doubling volume raises it by about 40%.
ABC classification sorts SKUs by value: 20% of SKUs drive 80% of value. Count A items each week and run C items on reorder points.
#The Factory: OEE, Takt, Cycle, Throughput, Little's Law
Overall equipment effectiveness multiplies availability (uptime over scheduled time), performance (actual over rated speed), and quality (first-pass yield). Typical plants run 60%, and world class is 85%. US manufacturing capacity utilization sits near 77%, so most plants have room before capex.
Takt time equals available production time divided by demand. Wasatch Wheels builds 400K bikes a year on 250 days of two 8-hour shifts, 240K minutes, so takt is 240K divided by 400K: one bike per 36 seconds, 100 an hour. Cycle time is one station's time per unit. The slowest station is the bottleneck, and throughput, units completed per hour, drops to its pace.
Little's Law: work in process equals throughput times flow time. At 100 bikes an hour and three hours from frame to box, the floor holds 300 bikes. Cut flow time to two hours and 100 bikes leave the floor, about $90K at $900 of cost each.

#The Warehouse
Pick rate counts lines per labor hour: 100 to 200 picks per hour by hand, 300+ picks per hour semi-automated (pick-to-light, conveyors), and goods-to-person systems run higher. Space utilization should run 80% to 85%, or aisles clog and picks slow. Dock-to-stock, trailer arrival to pickable stock, should run under 24 hours. Cost per order equals warehouse cost divided by orders you ship, and warehousing runs 2% to 5% of sales: for Wasatch Wheels, 3% of $600M is $18M, about $45 per bike, the bar for any automation proposal.
#Freight Modes

| Mode | Cargo | Capacity | Cost logic |
|---|---|---|---|
| Parcel | Single boxes | Up to 150 lb per package | By weight and zone. You pay dimensional weight on bulky boxes |
| LTL | Pallets sharing a trailer | 150 lb to 15,000 lb per shipment | By weight, class, and distance. Hub handling adds days |
| FTL | One shipper's freight | 53 ft dry van, 45,000 lb, 26 pallets | About $2.50 per mile all-in, so fill the truck |
| Intermodal | Containers on rail, truck at each end | One container, about a truckload | 10% to 30% below truck on 700+ mile lanes, and slower |
| Rail carload | Bulk: grain, coal, chemicals | Three to four truckloads per car | Cheapest per ton-mile on land |
| Ocean | Containers | 40-foot box: 2,390 cu ft, 58,000 lb. Largest ships carry 24,000 TEU | Per container, so density sets unit cost. Shanghai to Los Angeles: 14 to 21 days, $2,000 to $3,000 per box in a normal market |
| Air | Urgent or high value | Belly holds on passenger flights or freighters, ULD pallets and containers | Chargeable weight, the greater of actual and volumetric. 5x to 10x ocean per kg. You buy days |
Bikes fill a container by volume long before its weight limit.
#Drayage and the Last Mile
Drayage is the short truck move from port to rail ramp or warehouse. Carriers price it per container plus detention (you hold the box at your dock past free days) and demurrage (it sits at the terminal past free days). Chassis rental is a third line. Los Angeles and Long Beach handle 30% of US containerized imports, so a backup there delays dealers in Ohio. The last mile eats 40% to 50% of the cost to deliver a package, because a driver's hour buys a fixed number of stops. Route density is the lever.
#Landed Cost and Incoterms
Landed cost is the full cost of a unit at your door, the number to compare suppliers on: factory price, freight, insurance, duties, drayage, handling, and carrying cost while afloat. Incoterms set who pays each leg and where risk changes hands. FOB: the seller loads the vessel, and the buyer owns the ocean leg onward. DDP: the seller delivers to your door with duties paid, so ask which tariff rate sits inside the quote.
#The Bullwhip
Small wobbles in end demand grow into large swings upstream because each buyer up the chain reads its customer's orders as the market, batches orders, pads safety stock, and over-orders in shortages. Fixes: share point-of-sale data, order smaller lots more often, cut promotions, and let vendors manage customer stock. At Wasatch Wheels, 1,200 dealers each padding a spring order can leave you a fifth overbuilt and discounting in September.
#Nearshoring and Tariffs
Nearshoring moves production from Asia to Mexico, and reshoring brings it home to the US. Both shorten lead time, cut tariff exposure, and shrink safety stock. You trade higher labor cost for lower freight, duties, and cash in transit. Compare on landed cost per unit plus the working-capital release, and state your tariff assumption, because policy moves faster than a plant. A sourcing program saves 5% to 15% of addressed spend.
#The Driver Shortage
The US runs 60K to 80K truck drivers short, and hours-of-service rules cap driving at 11 hours a day. Rates rise when capacity tightens, shippers move long lanes to intermodal, and carriers give first call to shippers who load fast and let drivers swap trailers. A 500-mile lane fits one driver-day. A 1,200-mile lane needs a relay, a team, or a train.
#Three Mini Prompts
Late and short. Player 2 says dealers report spring orders arriving late and short. Split OTIF in two. On-time misses point to transport: carrier acceptance, warehouse order-to-ship time, peak-season mode choice. In-full misses point to stock: forecast error by SKU, safety stock on A items, slow dock-to-stock on Taiwan containers. Ask for OTIF by month and region to learn which half is broken.
The ocean freight bill. Size Wasatch Wheels' annual ocean spend. All 400K bikes leave Taiwan by sea at 200 per container: 2,000 containers at $2,500, about $5M, under 1% of revenue, and the US leg is 70% of it. The Loot: ocean freight is a rounding error, and the cost conversation belongs to tariffs.
Free the cash. The CFO wants $20M out of working capital. Build the Quest Map on the cash conversion cycle. Region one, inventory days: rationalize the C tail, rebuild safety stock on fresh forecasts, shorten lead time through nearshoring. At $1M of cost of goods a day, $20M from this region alone is 20 days of DIO, 90 to 70. Region two, dealer receivables: tighten terms or offer an early-pay discount. Region three, supplier payables: extend terms without breaking the relationship. Quantify each region in days, then start with the A items.
#Player Inventory III: Sector Codex, Tech and Bonus Pages

Tech cases turn up at firms with no tech practice, because a soap maker and a police department both carry an app and a cloud bill now. The benchmarks below are your reasonable test.
#SaaS Unit Economics
Revenue. MRR is monthly recurring revenue: paying subscribers times average monthly price. ARR is MRR times 12. Setup fees and services stay out of both.
Retention. Gross churn is the share of customers, or of revenue, you lose in a period before counting upsells. Monthly churn compounds: 3% a month removes about 30% of the base in a year. Net revenue retention (NRR) is this year's revenue from last year's customers divided by what they paid last year, after churn, downgrades, and upsells. An NRR above 100% means the base grows before sales signs a new logo. Name the measure before you quote a churn figure.
Acquisition. CAC is sales and marketing spend divided by the new customers you won in the period. LTV is the gross profit you earn from one customer over its life: annual revenue per customer times gross margin, divided by annual churn. One over churn is customer life in years, so 20% churn means five years. CAC payback is CAC divided by monthly gross profit per customer.
Margin and efficiency. Software gross margin runs high because one more user costs pennies to serve. Hardware and marketplaces carry cost of goods or seller payouts. Rule of 40: add revenue growth percent to profit margin percent. The magic number is the quarter's increase in quarterly recurring revenue, times four, divided by the prior quarter's sales and marketing spend. The burn multiple is net cash burned divided by net new ARR, and a lower number means cheaper growth.
Engagement and funnel. Divide daily active users by monthly active users to get DAU/MAU, your stickiness gauge. Chain the funnel conversions: visitors to trials, trials to paid, or free users to paid under freemium.
Take rates. A take rate is the platform's cut of each transaction. Marketplaces, app stores, and payment processors each charge one, and Mini Prompt 2 below turns on the gap between two of them.
#Tech Benchmarks
| Metric | Benchmark |
|---|---|
| Software gross margin | 70% to 85% |
| Hardware or marketplace gross margin | 40% to 60% |
| LTV to CAC | 3x |
| CAC payback | under 18 months |
| NRR, good | 100% to 120% |
| NRR, best in class | 120%+ |
| Monthly gross churn, SMB | 3% to 5% |
| Monthly gross churn, enterprise | under 1% |
| Annual gross churn, healthy SaaS | 5% to 10% |
| Rule of 40 | growth % + profit margin % >= 40 |
| Magic number | 0.75+ |
| Burn multiple, good | under 1.5 |
| DAU/MAU, good | 20%+ |
| DAU/MAU, social apps | 50%+ |
| Visitor to trial conversion | 2% to 5% |
| Trial to paid conversion | 10% to 25% |
| Freemium to paid conversion | 2% to 5% |
| Marketplace take rate | 10% to 30% |
| App store take rate | 15% to 30% |
| Payments take rate | 3% |
| SaaS R&D share of revenue | 20% to 30% |
| Sales and marketing share, growth stage | 30% to 50% |
| Public SaaS EV to revenue | 5x to 10x |
Market figures: global IT spending $6T; cloud share AWS 28%, Azure 21%, Google Cloud 14%; global internet users 6B and global smartphone users 4.9B; US smartphone penetration 90% and US e-commerce share of retail 16%.
#Mini Prompt 1: The Connected-Bike Subscription
Player 2 reads: Wasatch Wheels wants to sell a $10 per month app subscription (theft tracking, battery health) to new bike buyers. Building the app costs $3M. Dana wants to know whether it is worth building.
Set up the equation and get the nod before you touch a number. Subscribers equal units sold times attach rate. ARR equals subscribers times $120. LTV equals $120 times gross margin divided by annual churn. Then compare LTV to CAC, compute payback, and compare first-cohort gross profit to the build cost.
Solve out loud. Assume 20% of 400K buyers attach: 80K subscribers and $9.6M of new ARR per cohort. Assume 80% gross margin and 20% annual churn, so LTV is $120 times 80% times 5, or $480. CAC is a $40 dealer incentive per activation, so LTV to CAC is 12x and payback is five months ($40 divided by $8 of monthly gross profit). Against a $3M build, the first cohort's $7.7M of gross profit ($9.6M times 80%) covers $3.2M of dealer incentives and pays back the build inside a year.
The Loot: an 80% margin software line on a hardware company is worth building. The least supported number is the 20% attach rate. Next step: pilot at 50 dealers and measure attach and 90-day churn.
#Mini Prompt 2: The Marketplace Offer
Player 2 reads: A national online marketplace offers to list Wasatch Wheels bikes at a 15% take rate and claims it will add 20K units a year. The website sells 40K units today and pays a 3% payments take rate. Dana wants a recommendation.
Structure it as three quests. Fee math: 20K units times $2,000 is $40M of gross sales, and 15% of that is $6M in fees, against $1.2M if the same 20K units ran through the website at the 3% payments rate. That $4.8M gap shrinks once you count the website's own marketing spend and the margin a dealer keeps on a bike sold in a shop. Cannibalization: the fee earns its keep only on units that would otherwise go unsold, so find the share of the 20K that shifts from the website or the 1,200 dealers. Channel conflict: dealers asking for price support will read a marketplace listing as a second attack on their margin.
The Loot: you pay the $4.8M fee gap for growth only if most of the 20K units are new demand. Next step: get new-to-brand buyer data from the marketplace and run a one-region test.
#Bonus Codex
Retail and CPG. Grocery gross margin is 25% to 30% and grocery net margin is 1% to 3%, so cut price by one point and you erase a third of net profit, or all of it. Apparel gross margin runs 50% to 60%. Retail sales per square foot (typical) sit at $300 to $600. In-store conversion runs 20% to 40% against e-commerce conversion of 2% to 3%. Retail shrink is 1.5% to 2% of sales. CPG trade spend share of revenue is 15% to 25%.
Financial Services. Bank net interest margin is 3%: interest earned minus interest paid, divided by earning assets. Bank efficiency ratio, non-interest expense over revenue, is 55% to 60%, and lower wins. Bank ROE is 10% to 15%. Credit card interchange is 2%, and merchants pay it to the card issuer. In a Capital One case you build the P&L from interchange plus interest income, minus credit losses and acquisition cost per account.
Private Equity. Mid-market EV/EBITDA multiple is 8x to 12x and LBO leverage is 4x to 6x EBITDA. A sponsor keeps the company for a PE hold period of 3 to 7 years and underwrites to a PE target IRR of 20% to 25% and a PE target MOIC of 2x to 3x. In a PE case you test three things: EBITDA growth, whether the multiple holds at exit, and whether the company can pay the debt down.
Airlines. Airline load factor is 83% to 85%, the share of seat-miles sold. Airline fuel share of costs is 20% to 30% and airline labor share of costs is 30% to 35%, so a fuel spike or a pilot contract moves the whole P&L.
Restaurants. Restaurant food cost is 28% to 35% of sales and restaurant labor cost is 25% to 35%. Together they form prime cost, and the restaurant prime cost target is under 65%. Restaurant occupancy (rent) cost is 6% to 10%. In a same-store sales case you split traffic from average ticket, and you treat a menu price case as an elasticity case wearing an apron.
#Level 1: The Opening Cutscene

Player 2 reads the prompt, and the Boss Fight starts before you pick up a pen. You run the math on the numbers you capture now and build the Quest Map around the objective you confirm now. Your HP bar is full. Protect it by listening more than you talk.
#Set Up the Page
Turn one sheet sideways and divide it before Player 2 starts talking. Box the client and the objective in a strip across the top. Run facts down the left column, and keep a narrow lane along its edge where you circle each figure on its own line. Save the bottom strip for questions. Keep a blank second sheet for the Quest Map and a third for math.
Write fast and abbreviate. Prompts run long, and the coaches called note speed a trained skill. "WW, #2 NA e-bike, $600M rev, 400K units, 25 ctry, 70% US" fits on two lines and holds five numbers. Write the objective in full, in the client's words, since you build the map from that sentence.
#The Save Point
Recap out loud, in about one minute, in your own order, and confirm the numbers as you go. Over video, sixty and sixteen sound alike, so read each figure back with its unit and, where two numbers could blur, its digits: "six hundred million dollars, six-zero-zero," and "four hundred thousand units, not forty."
Categorize as you recap: company facts (founding, headcount, product lines), scale (revenue, units, rank), footprint (countries, US share), and the objective. A coach praised a student who recapped a math prompt by segment rather than in the order given, since the grouping kept the room organized once the math started.
End with the objective and a check: "So the goal is a growth strategy for Wasatch Wheels. Do I have that right?" Player 2 nods, and you have your save. Carry a wrong number past this point and you play the rest of the fight from a corrupted file.
#The Dialogue Tree

Ask three to five clarifying questions. You may ask none, though confirming a figure is cheap insurance. Player 2 answers advanced branches and dodges analysis in disguise, and a dodge says nothing bad about you. Player 2 also hears a novice branch for what it is.
Novice branches:
- Questions before the recap. Player 2 has no evidence yet that you heard the prompt.
- "Are there other objectives?" Player 2 stated the objective in the prompt, and asking again sounds like stalling.
- Data requests with no reason attached. Player 2 dodges "Do you have sales by region?" and marks you as fishing.
Advanced branches:
- Confirm the business model and the scope. "Does the growth question cover all three product lines and all 25 countries?"
- Clarify the target metric. "Does Dana have a revenue or unit target in mind, or a timeline?" Some case writers set no target, so a shrug here costs you nothing.
- Anything you missed. A number you failed to write down is fair game.
Phrase a question as a hypothesis and you hand Player 2 evidence of your thinking: "My hypothesis is that Wasatch Wheels sells through independent dealers. Do they also sell direct?" Attach a reason to each data request in the same spirit: "I'd like revenue by product line so that I can see which line is carrying the growth."
Player 2 phrases a dodge as "We don't have that data, so build it into your framework." The question belonged in the Quest Map, and you asked a good one. Note it in your questions strip and move on. Keep the phrase "dumb question" out of the room: the coaches watched strong candidates take a dodge and then talk themselves down for no reason.
You can rescue a number mid-case. If you reach the math and realize you skipped a figure, ask then. Ten seconds on the question beats a calculation built on a wrong number.
Bring courage to unfamiliar industries. If e-bikes and dealer sales are new to you, say so and ask. A former McKinsey engagement manager told the room he would rather spend a minute explaining a product category than staff an associate who nods along and learns nothing.
#Ask for the Pause Menu
Close the tree with one line: "I think I have what I need. I'd like to take two minutes to organize my thoughts, and then I'll walk you through my approach." Player 2 has watched hundreds of heads bend over paper and remembers none of them.
#Mock Dialogue: The Wasatch Wheels Opening
PLAYER 2
Our client is Wasatch Wheels, a Utah company that designs and sells electric bikes. Two former ski-lift mechanics founded it in Ogden in 2012 so they could ride to the resort without a car. It is the number two e-bike brand in North America by units, with $600M in revenue, about 900 employees, and 400K units sold per year across three lines: commuter, recreation, and cargo. It sells in 25 countries, and 70% of revenue comes from the US. The CEO, Dana Okafor, has asked us to develop a growth strategy.
Cosmo writes through the whole prompt and circles each number
COSMO
Let me play that back. Company facts: Wasatch Wheels, founded in Ogden in 2012 by two former ski-lift mechanics, about 900 employees, three lines: commuter, recreation, and cargo. Scale: $600M in revenue, six hundred million dollars, six-zero-zero. I heard units as forty thousand a year, which would make the average bike $15,000, so I assume four hundred thousand.
PLAYER 2
Four hundred thousand. 400K units, not 40K.
COSMO
400K, number two in North America by units. Footprint: 25 countries, 70% of revenue from the US. Objective: a growth strategy for the CEO, Dana Okafor. Do I have that right?
PLAYER 2
That matches.
COSMO
A few clarifying questions. First, on the objective: does Dana have a revenue or unit target in mind, or a timeline?
PLAYER 2
No target and no fixed timeline. She wants a plan she can take to her board.
COSMO
Second, on scope: are all three product lines and all 25 countries in play, or is she focused on the US?
PLAYER 2
Everything is in play.
COSMO
Third, on the business model. My hypothesis is that Wasatch Wheels sells through independent bike dealers. Do they also sell direct?
PLAYER 2
Both. About 1,200 independent dealers, plus their own website.
COSMO
Last one: do we have revenue split by product line? I'd like it so that I can see which line is carrying the growth.
PLAYER 2
We don't have that broken out. Include it in your framework.
COSMO
Understood, I'll build it in. I have what I need, so I'll take two minutes to organize my thoughts and come back with my approach.
PLAYER 2
Take your time.
Cosmo turns to the blank second sheet and starts the Quest Map
#Level 2: The Quest Map

The Dialogue Tree closes, and you turn a two-paragraph prompt into a plan a team could run on day one.
#The Pause Menu
Ask for it: "Thanks, that helps. I'd like two or three minutes to organize my thoughts, and then I'll walk you through my approach." The former McKinsey engagement manager said any trained interviewer expects this request.
Use the two minutes in a fixed order.
- Write the objective across the top, with the target metric if Player 2 gave you one. For Wasatch Wheels: "Growth, $600M today, no target, assume +$100M." $100M is one sixth of $600M, about 16.7%, and you label it as your own assumption when you deliver.
- Draw four columns and label them in the order they come to mind.
- Under each region, write three quests in shorthand. "Mkt size + growth by country/line" is enough on paper.
- Spend the last ten seconds on the renumber: decide which region matters most for this client and write 1 through 4 beside the labels. Player 2 hears a ranked plan.
#The 4 by 3 grid
The grid holds four regions with three quests each. Four is the training default the coaches gave the room. Draw three and you fold two workstreams into one region and present them as one. Draw five or six and your walkthrough runs past the three-minute mark before you reach your compass. Three quests give a region enough weight to stand as a workstream.
A case is day one of a project, compressed. Three or four consultants land at the client with 4 to 12 weeks to answer a question the client could not, and the manager hands each of them a region from the whiteboard. The former McKinsey engagement manager described the failure mode: miss a region, and two weeks in you discover you need a consumer survey that takes two and a half weeks to design, field, and read.
#No overlapping regions, no unexplored map
Consultants call it MECE: mutually exclusive, collectively exhaustive. Each quest belongs in one region, and the four regions, taken as a set, cover the ways the client could reach the objective.
A bad map for Wasatch Wheels growth: Marketing, Customers, Dealers, Europe. Under Marketing and Customers you would run the same questions twice. Dealers is one channel out of two, and Europe is one geography among 25 countries. Both are quests dressed up as regions. Line economics and the company's capacity to fund growth are missing, so the map has blank space where the money lives.
The fixed map: Market, Customer, Line Economics, Company and Channels. Test the exclusive half by naming the one region each quest belongs to, and merge or split when you can name two. Test the exhaustive half by finding a home for each growth lever: a price increase starts with willingness to pay in Customer, a new country in Market, a dealer acquisition in Company and Channels. A lever with no home means a missing region.
#Quantify each quest and attach a "so that"
A quest is an analysis with a number in it and a reason to run it. "Look at customers" is a wish. "Share of revenue from the top three models, so that we know how much white space is left" is a quest an analyst can start on Monday. With the "so that," you tie the data you would pull to the client's decision. The former Bain consultant asked a student for the reason behind the customer quest, heard a general answer about understanding the buyer, and supplied the sharper version: demographics by segment, so that we know which segments to push and which the brand leaves untouched. Write the sharper version the first time.
#Your Compass
A hypothesis is the compass that points at the region to start in. State it at the end of the walkthrough, and use it during the pause, because the region it points at is the one you number 1. For Wasatch Wheels: "My compass points at the Market region. The US supplies 70% of revenue, and the biggest lever is whether the other 24 countries can carry the bulk of the $100M we assumed." A compass you can defend gives Player 2 a reason to hand you data.
#The 12-year-old warning
Profit equals revenue minus cost, revenue equals price times units, and cost splits into fixed and variable. The former McKinsey engagement manager said a 12-year-old could recite that on command, so it earns you nothing on its own. Add color: state what you suspect and what you would check before anything else. Suppose the prompt were falling profit. "My guess is that units are slipping at dealers while price holds near $2,000, because the private-label bike took the entry-level buyer. I'd check units by channel and by line before touching cost." Player 2 now has a claim to push on.

#The Wasatch Wheels growth map
In the table, you have run the renumber on the fixed map and moved Line Economics up to second, because you need margin by line before you decide where growth money goes.
| Region | Quest | So that |
|---|---|---|
| 1. Market | E-bike units per year in each of the 25 countries | we know where demand sits |
| Unit growth by country over three years | we push the momentum markets | |
| Speed and power rules in the 24 other countries | we know which markets need a new spec | |
| 2. Line Economics | Contribution margin by line at the $2,000 average price | we grow the line that earns |
| Wasatch Wheels units by line over three years | we back the line with momentum | |
| Pricing power by line: units lost per 10% price move | we know which line can carry a price rise | |
| 3. Customer | Willingness to pay by segment against the $1,500 to $4,000 range | we know whether to raise price or add a cheaper model |
| Age, income, and household type of buyers by line | we find the riders the brand misses | |
| Repeat and referral rate among current owners | we turn owners into sellers | |
| 4. Company and Channels | Capability gaps against the top three rivals in battery, software, and dealer support | we know what to build before we scale |
| Acquisition cost and lifetime value of a buyer by channel | we spend where a rider costs least and stays longest | |
| Taiwan assembly capacity above 400K units, plus cash to add a line | the plan is fundable |
#Delivering it in three minutes
Talk from the page. The order:
- Headline: the objective, your assumption if you made one, and the four regions. "No target yet, so I'll frame this as finding the next $100M, one sixth of today's $600M, across four regions: market, line economics, customer, and the company's channels and capacity."
- Regions in priority order. Name each, give one sentence per quest with its number and its "so that," and move on. "First, the market. I'd count e-bike units per year by country, so that we know where demand sits."
- Close with your compass: the region you would start in and why, and ask Player 2 to begin there.
You run past three minutes when you have not ranked anything, because then you have to say all of it.
#Timing benchmarks
Successful McKinsey candidates averaged about 2:30 head down and 2:15 to 3:00 on the walkthrough, and Bain interviewers like it snappier. Player 2 holds no stopwatch. Each minute you spend here comes out of the Boss Fights that follow, and the Boss Fights hold the Loot.
#Framework Skill Trees
A skill tree is a Quest Map you built before the Boss Fight started. Tier 1 is the core split, the regions you draw in the Pause Menu without effort. Tier 2 holds the quantified quests, each tied to a "so that" the client cares about. Tier 3 is the Loot you expect to hand Dana Okafor. You unlock a tree by running it out loud on five or six cases until Tier 1 comes without thought and your two minutes go to Tier 2. Player 2 has heard the bare tree before, so the trees below wear Wasatch Wheels colors.

#The Starter Map
Draw Market, Product, Customer, Company when the prompt hands you no obvious tree. Market holds size, growth, and the competitor set. Product holds the lines, their features, and their economics. Customer holds the segments, what they want, and what they pay. Company holds cost, capacity, and channels. The coaches praised a student who opened an unfamiliar prompt with these four, because the regions cover most business problems and hold no overlap. Reach for it on a broad prompt with no clear root, and drop it the moment a named tree fits: a falling-profit prompt wants the profit tree, and a buy-or-pass prompt wants the M&A tree.

#Profitability
Tier 1. Profit equals revenue minus cost, and you draw four regions around it. Region one splits revenue by line, channel, and geography, separating unit volume from price inside the line that leaks. Region two is variable cost per unit. Region three is fixed cost. The fourth region is the market, meaning growth and competitor moves, so that you can tell a company problem from an industry problem.
Tier 2. Pull revenue by line for three years, so that you find the line that is leaking. Split units from price inside that line to learn whether volume fell or price gave way. Compare variable cost per unit with last year and the closest rival, because a supplier or freight problem shows up there.
Tier 3. You name one line and one lever. In the Wasatch Wheels exhibit, recreation came in at -10% while cargo posted +50%. If recreation lost units at a held price, you suspect a rival's price cut or a demand shift, and each calls for a different fix.

#Market Entry
Tier 1. You draw four regions: market attractiveness, competitive intensity, the client's ability to win, and the mode of entry with its economics.
Tier 2. Size the market in units and dollars with a growth rate, so that you know the prize. Measure the share and price points of the top three competitors to learn whether you fight one incumbent or a fragmented field. Compute contribution margin per unit after tariffs, freight, and the dealer's cut, because a sale there has to make money. Estimate capex and payback for building, partnering, or buying your way in, then rank the modes by those two numbers.
Tier 3. You give a binary answer with a line and a mode attached. In the German case you compute 2M e-bikes per year with commuters at 1M of them, so the commuter line leads the entry through dealer partnerships.
#Growth and the Product-Market Matrix
Tier 1. You cross current or new product with current or new market and get four cells: sell more of today's bikes to today's buyers, carry today's bikes into new geographies or segments, put new products in front of today's buyers, and the far corner where both are new.
Tier 2. Measure share of wallet at the 1,200 dealers, so that you know how much penetration remains at home. List the countries where the client sells but holds low share, then rank the near geographies by that gap. Count accessory and service revenue per bike to size the attach opportunity.
Tier 3. You rank the four cells by size of prize, time to cash, and risk, and let near cells fund far cells. Wasatch Wheels earns 70% of its revenue in the US and sells in 25 countries, so the second cell holds the largest untapped prize.
#Mergers and Acquisitions
Tier 1. You draw four regions: standalone value of the target, synergies with the buyer, price and deal structure, and integration risk.
Tier 2. Compare the target's growth and margin with the client's, so that you know whether you are buying growth or repairs. Map the overlap of dealers and customers to size revenue synergy without double counting. Estimate shared procurement and plant consolidation as a share of combined cost, which gives you the cost synergy. Set the price against standalone value plus synergies, because that sum is the most the client should pay.
Tier 3. You say buy or pass at this price and name a walk-away number. If Wasatch Wheels looks at a battery maker, the Loot is whether secured supply and lower cell cost cover the premium, and the least-supported number will be the cost synergy.
#Pricing
Tier 1. Cost sets the floor, customer willingness to pay sets the ceiling, and competitor prices set the reference point. A fourth region covers architecture and channel: list price, discounts, financing, bundles, and dealer reaction.
Tier 2. Compute variable cost per unit by line, so that you know the floor and how much room today's price leaves above it. Measure willingness to pay by segment through a price-versus-features survey to find the ceiling. Estimate units lost per 10% price move, which gives you a working elasticity.
Tier 3. You give a price, a rationale, and a test. Cargo posted +50% and its buyers haul children, which points to low price sensitivity, so you test a modest increase there and watch units. A big-box private label sits 40% below the average price, so you hold on price support until the dealer sell-through data is in.
#Operations and Cost Reduction
Tier 1. Lay the cost base out along the flow: procurement, assembly, logistics, and overhead. Inside each region you pull three levers: the price you pay, the quantity you use, and the efficiency of the process.
Tier 2. Compare cost per unit by component with a benchmark, so that you find the widest gap. Check supplier concentration and the savings a sourcing program could deliver, with 5% to 15% as the usual range, to size procurement. Measure OEE on the assembly lines against 60% typical and 85% world class, because the gap is the capacity you lose to downtime.
Tier 3. You hand over savings ranked by size, ease, and time, with quick wins apart from structural moves. The US plant question is this tree in miniature: a net annual benefit of $30M, payback in 3 years, breakeven at 200K units, and tariffs as the assumption that could break it.
#New Product Launch
Tier 1. You draw four regions: customer need and market size, product fit including cannibalization, launch economics, and go-to-market.
Tier 2. Size the segment the product serves, so that you know the prize. Estimate the share of buyers who would switch from an existing line, then count net new units. Compute contribution margin per unit and fixed launch cost, because those two numbers give you breakeven units.
Tier 3. You say launch, delay, or kill, anchored on breakeven units. A folding commuter bike that needs 10K units to break even in a segment that buys 100K a year, one bike in ten, is a launch that opens with a dealer pilot. A bike that needs half the segment is a kill.
#Public Sector and Non-Profit
Tier 1. You swap profit for mission outcome. The regions become the outcome and its measure, the beneficiaries and stakeholders, funding and cost, and feasibility, which covers politics and staff capacity.
Tier 2. Track the outcome metric and its trend, such as officers hired each year against officers leaving, so that you know the gap. Compute cost per outcome by program to rank programs by impact per dollar. Break funding out by source and trend, because the line at risk shows up there.
Tier 3. You rank the options on impact per dollar and feasibility. For a philanthropy chasing younger donors, you size donors under 40 as a share of gifts and test the channel with the lowest cost per new donor.

#Blending Trees
World 2 prompts often blend two frameworks. Dana Okafor might ask whether Wasatch Wheels should enter Germany with a new cargo model, and at what price. You draw one map and take its root from the client's decision. The decision is binary, enter or stay out, so market entry is the trunk and you borrow branches from the other trees. Product fit and cannibalization from the launch tree become quests inside the ability-to-win region. Willingness to pay from the pricing tree becomes a quest inside market attractiveness, and competitor price points become a quest inside competitive intensity. The rule holds across hybrids: one root, four regions, and any second framework donates quests to those regions.
#Compass Rules
State your Compass as soon as the map is on the table: "My hypothesis is that growth comes from the commuter line in the US and Germany, so I would start in region one." Player 2 can then steer you and can see you hunting for an answer.
Run 80/20. You will get most of the answer from two or three of the twelve quests. Pick the quest whose result would change the recommendation and ask for that data before the rest.
Do not boil the ocean. You will run two or three quests in a thirty-minute case, and Player 2 will hand you the exhibits that matter. Insist on touring all twelve and you ramble past three minutes and lose the room. If the first quest kills your hypothesis, say so out loud, turn the Compass, and start the next region. Player 2 scores you higher for a hypothesis you stated and dropped with a reason than for a case you ran without one.
#Level 3: The Sizing Dungeon
The Sizing Dungeon appears as a mini case in a screening call or as one room inside a full case. Player 2 names a product and a place, and you clear five floors in order, narrating each one.
#Ground Rules Before You Descend
Market size means revenue in dollars per year unless Player 2 says otherwise. Profit needs a margin, and Player 2 did not hand you one. Confirm the unit at the Save Point, ask for the Pause Menu, sketch the five floors as a tree, and walk Player 2 through it before you touch a number. Player 2 grades each step you speak once the structure passes.

#The Five Floors
Floor 1: Population, households, or businesses. Pick the unit that opens its wallet: a cargo bike belongs to a household, a helmet to a head, a courier fleet to a business.
Floor 2: Three or four segments. Choose groups that buy at different rates or prices.
Floor 3: Percent who own or buy. Assign one share per segment with a one-line reason.
Floor 4: Purchase frequency. Count purchases per owner per year: below one for durable goods, above one for consumables.
Floor 5: Average price. Set one price per segment if the segments buy different products.
Multiply down the floors, add the segments, true up for the buyers your unit missed, and hand over the Loot: what the size means for the client.
#Segmentation Is an Art
Six cuts cover most markets. Age works when the product changes with the decade of life: kids outgrow helmets, retirees stop commuting. Income works when price drives the decision. Choose geography (urban, suburban, rural) when terrain or density shapes demand. Gender works for personal-care categories and adds little for most vehicles. Needs or use case works when one product means different things to different buyers. Sunscreen is a beach product, a sport product, or daily skincare, and an e-bike is a commute tool, a trail toy, or a family hauler. Cut by culture or ethnicity when it drives demand and you speak about it with respect: a hair-care retailer built on textured-hair products, a quinceañera dress shop where those families live.
Any cut must pass one test: the segments differ on Floor 3, 4, or 5.
#Durable Goods and the Replacement Clock
A durable good lasts more than a year, so an owner buys less than once a year. An e-bike on a 6-year cycle means one owner in six buys this year: 1/6, or 16.7%, off the Fraction Scroll. Convert years to a fraction before you multiply.
#The Stock Versus Flow Trap
The most common Game Over in this dungeon: you multiply owners by price and announce the market. That number values the units sitting in garages, a stock. Market size is a flow, the purchases made this year. One student at the workshop reached a stock number, caught it out loud, and the coach counted the catch in his favor. Press Continue by narrating the catch: "That gives me 84K e-bikes in homes, the installed base. I need annual purchases, so I divide by the replacement cycle."
#The True-Up
A household model misses buyers who enter through a different door: courier fleets, resort rental shops, campus bike shares. Add 10% to 20% and name what the add covers, because the reason matters more than the digit. The Utah walkthrough uses 1.2 because resort towns rent e-bikes by the hour and couriers ride them all day.
#The Reasonable Test
Player 2 grades the logic and treats the number as a byproduct. Two students at the workshop sized one market with assumptions far apart, and both passed because the logic held. The coaches said the true figure could be ten times bigger or smaller and nobody in the room knows. One assumption fails on sight: 100% ownership.
The probe arrives as "why 60%?" and the answer has three parts: an anchor you can observe, an adjustment you can defend, and an offer to swap in a better figure.
PLAYER 2
I'm curious about the 8% on the Wasatch Front. Talk me through it.
COSMO
Two anchors. About 5M Americans own an e-bike against 130M households, so about 4% of households have one. The Wasatch Front has the trails and the commuter income, so I doubled that to 8%. Rural Utah stays at the national 4%. If you have a better figure, I'll swap it in.
Three answers like that unlock the Reasonable Numbers trophy.
#Walkthrough: E-Bikes Sold in Utah Per Year
You segment Utah by geography, because commute patterns split the state.
| Floor | Structure | Assumption | Calculation |
|---|---|---|---|
| 1 | Utah households | 3.5M people, 3.0 per household | 1.2M households |
| 2 | Segment by geography | Wasatch Front 75%, rural Utah 25% | 900K and 300K households |
| 3 | Own an e-bike | 8% on the Wasatch Front, 4% in rural Utah | 72K and 12K, 84K total |
| 4 | Replacement purchase | one per 6 years | 84K divided by 6 = 14K units per year |
| True-up | Fleets, rentals, businesses | multiply by 1.2 | 16.8K units per year |
| 5 | Average price | $2,000 | 16.8K times $2,000 = $33.6M per year |
State the Loot: $33.6M a year against $600M of Wasatch Wheels revenue means owning all Utah sales covers under 6% of the top line. Growth lives outside the home state, so the German question in Boss Fight I carries weight. Your next check is Wasatch Wheels' current share of Utah sales.
#Second Run: Ski Helmets Sold in Colorado
A helmet belongs to a person, and age drives replacement and price, so you segment Colorado's 6M people by age. The 1/80 trick puts people under 18 at 18 times 1.25%, about 22.5%. You round to 25% for clean math and say so. You take 65 and over at 15% (0.9M) rather than the trick's 19%, because Colorado skews young, which leaves 60% (3.6M) for 18 to 64.
First the funnel, from people down to helmets owned.
| Segment | Population | Skiers | Own a helmet |
|---|---|---|---|
| Under 18 | 1.5M | 20%, 300K | 90%, 270K |
| 18 to 64 | 3.6M | 25%, 900K | 80%, 720K |
| 65 and over | 0.9M | 10%, 90K | 80%, 72K |
Then the money, from helmets owned down to revenue.
| Segment | Cycle | Units a year | Price | Revenue |
|---|---|---|---|---|
| Under 18 | 3 years | 90K | $60 | $5.4M |
| 18 to 64 | 6 years | 120K | $120 | $14.4M |
| 65 and over | 6 years | 12K | $100 | $1.2M |
Residents buy 222K helmets for $21M a year. A 20% true-up for out-of-state visitors and rental fleets brings it to $25.2M. Player 2 will probe the 25% adult participation, and you have the anchor ready: half the state lives in the Denver metro (3M), within two hours of a dozen resorts.
#The Map Becomes the Model
In the team room, the tree you drew in two minutes becomes the spreadsheet: each floor a column, each segment a row, each guess a highlighted cell. Researchers swap the highlighted cells for census counts, surveys, and dealer data, and the structure stays. Your day-one job is to sell three teammates on the shape of the model. A reasonable number clears the dungeon, and a structure the team can build on earns the offer.
#Boss Fight I: The Number Cruncher

The Number Cruncher spawns after the Quest Map and respawns two or three times before the close. This is the one phase of the Boss Fight with a single right answer, and it does its damage through pressure: the arithmetic is easy and the audience is not.
#The three forms
The boss takes three forms. In verbal form, Player 2 reads a story problem and your notes are the only record. In chart form, you get a table such as a P&L. In graph form, you get a bar chart or a line. The form changes the input. Your process stays the same.
#The four steps
| Step | You | Time |
|---|---|---|
| 1. Recap | State what you are solving for, then read the data back by segment with units confirmed. | 30 seconds |
| 2. Structure | Write the equation in words before you touch a number. Ask for anything missing. Get the nod. | About 2 minutes |
| 3. Solve | Work one step at a time, out loud, and check each result against the last. | About 2 minutes |
| 4. Insight | Give the three-part answer: the number, the Loot, the next step. | About 1 minute |
Structure first and get the nod. Say the equation in words, then stop and ask Player 2 whether the approach works. If you skip a step, Player 2 says so before you spend three minutes on the wrong arithmetic. At many firms the nod ends the question: a former McKinsey engagement manager told the room that full arithmetic takes three to four times as long as the setup, so an interviewer may take your structure and move on. Build the structure as if it were the whole answer.
Solve out loud. Narrate each multiplication and division as you write it. You are in co-op with Player 2, and four minutes of silence leaves your partner nothing to grade. After each step, compare the result with the one before it. A segment larger than its parent population means a decimal slipped, and Player 2 credits the catch.
The three-part answer. A number without Loot is an empty chest. Part one is the number, in the units Player 2 asked for. Part two is the Loot: what the number means and what the client should do about it. Part three is what comes next: the next analysis and the risk that could flip the answer. Executives pay you to hide the mountain of data and hand over what matters.
#Walkthrough: the German expansion
Player 2 reads the verbal form: Germany has 80M people (84M real), and half of them buy a bicycle in a given decade. Buyers split casual 60% on a 12-year cycle, commuter 30% on 6 years, and enthusiast 10% on 4 years. E-bikes are 25%, 50%, and 50% of those purchases. Player 2 wants bikes per year, e-bikes among them, and the meaning for the client.
| Step | Calculation | Result |
|---|---|---|
| Cyclists | 80M times 50% | 40M cyclists |
| Segments | 60%, 30%, and 10% of 40M | Casual 24M, commuter 12M, enthusiast 4M |
| Bikes per year | 24M divided by 12, 12M divided by 6, 4M divided by 4 | 2M, 2M, and 1M, for 5M bikes total |
| E-bikes per year | 25% of 2M, 50% of 2M, 50% of 1M | 0.5M, 1M, and 0.5M, for 2M e-bikes total |
Sense check the total before you move on. 5M bikes across 40M cyclists means one new bike per rider in eight years, which sits between the casual and commuter cycles, so the total passes. The Loot: commuters are 1M of the 2M e-bikes, half the market by units from 30% of the riders, so the commuter line leads the entry. Then the follow-ups: German competitor share and price points, the dealer network, EU speed and power regulations, and whether Germany beats the other candidate countries.

#Reading Exhibits
In chart and graph form the numbers sit in front of you, and the boss tests whether you read them in order. Run this checklist before you speak:
- Title: the exhibit's claim.
- Axes: what runs across and what runs up.
- Units: dollars or units, millions or thousands, percent or points.
- Time period: one year, five years, one quarter.
- The biggest bar: the largest value and its share of the total.
- The trend: up, down, or flat, and by how much.
- The outlier: the row that moves against the others.
- The so what: one sentence Player 2 could repeat to the client.
Player 2 slides one exhibit across, titled REVENUE BY PRODUCT LINE, $M.
| Product line | Last year | This year |
|---|---|---|
| Commuter | 300 | 330 |
| Recreation | 200 | 180 |
| Cargo | 100 | 150 |
Start with the column totals: $600M to $660M, +10% overall. Then growth by line: Commuter +10%, Recreation -10%, Cargo +50%. Then mix: Cargo mix rose from 16.7% to 22.7%, and you read the first figure off the Fraction Scroll, since 100 of 600 is 1/6. The outlier is recreation, the only line shrinking. The Loot: growth is coming from cargo while recreation shrinks, and the question to ask next is margin by line before you pour money into cargo.
#Walkthrough: the assembly plant
Player 2 reads: Wasatch Wheels imports frames and assembles in Taiwan. A US plant would cost $90M to build, add $30M per year in fixed operating cost, and save $150 per unit in tariffs and freight. Volume is 400K units per year. Should the client build it?
Structure in words: saving per unit times volume, minus the new fixed cost, gives the net annual benefit. Capex divided by that benefit gives payback. Fixed cost divided by saving per unit gives breakeven volume. Then:
- Annual saving: 400K times $150 = $60M
- Net annual benefit: $60M minus $30M fixed = $30M
- Simple payback: $90M divided by $30M = 3 years
- Breakeven volume: $30M divided by $150 = 200K units per year
Simple payback ignores the time value of money, so a dollar saved in year three counts the same as a dollar saved this year. It also ignores what the plant saves after year three, where the rest of a long-lived asset's value sits. If Player 2 pushes, run net present value at the client's hurdle rate across the plant's life and an internal rate of return to set beside that hurdle.
The Loot: the plant pays back in 3 years at current volume and still breaks even if volume halves. The risk is the assumption that tariffs stay where they are, since the $150 saving carries the case: at $100 per unit, the net benefit drops to $10M and payback stretches to 9 years. Next steps: a tariff scenario from trade counsel and capex quotes from two builders. The question is binary, so the answer is binary: build, and name the tariff risk in the same breath.
#Mock dialogue: the German boss
PLAYER 2
Let's test your first region with numbers. Wasatch Wheels wants to enter Germany. Use 80M people. The real figure is 84M. Half the population does not buy a bicycle in a given decade. Of the people who do buy, 60% are casual riders on a 12-year replacement cycle, 30% are commuters on a 6-year cycle, and 10% are enthusiasts on a 4-year cycle. E-bikes are 25% of casual purchases, 50% of commuter purchases, and 50% of enthusiast purchases. I want bikes bought per year, e-bikes among them, and the meaning for the client.
Cosmo writes as Player 2 talks
COSMO
Let me read that back by segment. 80M people, half of them buy. Casual: 60%, one bike per 12 years, 25% electric. Commuter: 30%, one per 6 years, 50% electric. Enthusiast: 10%, one per 4 years, 50% electric. You want annual units, bikes then e-bikes.
PLAYER 2
Correct.
COSMO
One check: I read the e-bike shares as a slice of each segment's bikes, inside the bike total.
PLAYER 2
Inside the total.
COSMO
I'd like a minute to set up the math.
PLAYER 2
Take it.
Cosmo writes for 60 seconds
COSMO
Approach first, then numbers. Population times the buying share gives cyclists, split three ways by segment. Each segment divided by its replacement cycle gives bikes per year, summed. Each segment's bikes times its e-bike share gives e-bikes, summed. Does that setup work for you?
PLAYER 2
It does. Run it.
COSMO
80M times 50% is 40M cyclists. Segments: 60% of 40M is 24M casual, 30% is 12M commuter, 10% is 4M enthusiast. Those sum to 40M, so the split holds.
PLAYER 2
Good.
COSMO
Next I'll take bikes per year. Casual: 24M over 12 is 2M. Commuter: 12M over 6 is 3M. Enthusiast: 4M over 4 is 1M. That gives 6M bikes a year.
PLAYER 2
Go on.
COSMO
Before I do, one check. Commuters have half the riders casual has and replace twice as fast, so the two segments should land on the same number. 12 divided by 6 is 2, so the commuter line is 2M a year and the total is 5M bikes.
PLAYER 2
Agreed. Keep going.
COSMO
Then the e-bike step. Casual: 25% of 2M is 0.5M. Commuter: 50% of 2M is 1M. Enthusiast: 50% of 1M is 0.5M. Total 2M e-bikes a year.
PLAYER 2
So the number is 2M. Tell me what Dana does with it.
COSMO
I have three things for her. First, the size: Germany buys 5M bikes a year and 2M of them are e-bikes, about five times Wasatch Wheels' current global volume, so the market can move our numbers.
PLAYER 2
Five times current volume. Second?
COSMO
Second, the Loot: commuters buy 1M of the 2M e-bikes, half the market from 30% of the riders. The commuter line should lead the entry.
PLAYER 2
And the third?
COSMO
Third, next steps: German competitor share and price points, the dealer network, EU speed and power rules, and whether Germany beats the other candidates.
PLAYER 2
Casual riders are 24M people, twice the commuter pool. Sell me on leaving the biggest crowd for later.
COSMO
I would sequence casual second, and the purchase clock is the reason. A casual rider buys an e-bike about once in 48 years and a commuter about once in 12, so the commuter clock runs four times faster. Commuters ride on weekdays, where range and reliability sell. Casual is wave two, once dealers carry us.
PLAYER 2
You said the market can move our numbers. That assumes German commuters pay what US riders pay.
COSMO
Agreed, and price changes the revenue case without changing which segment buys the most units. I would put a German price scan at the top of the next steps, ahead of any revenue estimate.
PLAYER 2
Good. Let's look at an exhibit.
#Boss Fight II: The Idea Hydra

The second boss can arrive before or after the math and carries no numbers. Player 2 asks an open question on a narrow topic. Cut one head and two more appear. You win by naming three necks first and growing heads in an order you control.
#A mini Quest Map
The Idea Hydra is the Quest Map shrunk to a four-minute window. You split a pointed prompt (a retailer undercut us, tell me what to look into) into three necks with two to four heads each after 30 to 60 seconds. Player 2 grades the same three things in both fights: categories that cover the question without overlapping, ideas that fit this client, and the Loot, the action you name at the end. The shorter prep means thinner cupboards, and the coaches said Player 2 expects that.
Player 2 holds no answer key for this fight. A different set of defensible necks scores the same, and the coaches said it twice about creative answers: math has one right answer, and the rest of the case is an art graded on coverage.
#The four steps
The four steps take three to four minutes in all:
- Recap and confirm, 30 seconds. Restate the question in one sentence, confirm the scope, and ask for 30 to 60 seconds.
- Name the necks, 1 minute. Say the three categories out loud before you fill any of them.
- Grow the heads, 1 to 2 minutes. Two to four ideas per neck, each specific to this client.
- Start and what else, 30 seconds. Pick the head you would chase first and say why. Name one thing you left out.
Two rules run this fight. Expect "And what else?" and answer it by going one level deeper on a neck you already named or by opening a fourth neck. Never restate a used head. Treat the push like a dodge, a request for depth. And turn topics into checks: "battery quality" is a topic, while "tear down the battery and compare cell supplier against ours" is a head Player 2 can picture a team doing.
#The private-label prompt
The prompt: a national big-box retailer has launched a private-label e-bike at 40% below the Wasatch Wheels average, about $1,200 against your $2,000, and dealers want price support. Player 2 asks what you would investigate before the client responds.
| Neck | Heads |
|---|---|
| Product and quality | Specs against the commuter line, battery cell supplier and cycle rating, warranty and who services a claim, who builds the bike |
| Economics | Whether the retailer sells below cost to pull traffic, how long it can hold that price, the supplier's terms and volume commitment |
| Customer and channel | The segment that is switching, the weight of brand in this category, the dealer view across all 1,200 dealers |
Your starting point: mystery-shop the bike this week and pull dealer sell-through for the last 90 days. Your what-else: a dealer-exclusive model and a financing offer, two responses to test before any list-price cut.
#Mock dialogue
PLAYER 2
One more before we wrap. The private-label bike is at $1,200, about 40% under our average, and dealers are asking Dana for price support. Before she answers them, tell me what you would investigate about the retailer's move.
COSMO
So we need to learn about the retailer's bike and its intent before Dana picks a response, and price support is one option among several. Correct?
PLAYER 2
Correct.
COSMO
Can I take 45 seconds to organize?
PLAYER 2
Go ahead.
Cosmo writes three headers and fills under them for 45 seconds
COSMO
Three areas: product, economics, and customer and channel. I will take them in that order and then say where I would start.
PLAYER 2
Go.
COSMO
Product. Specs side by side with our commuter model. A battery teardown, because the battery is the largest cost in an e-bike. The warranty and whoever services a claim, since few big-box stores keep a bike mechanic. And who builds it, because one Taiwanese contract assembler could be building both bikes.
PLAYER 2
Fine. Economics.
COSMO
Whether the retailer makes money at $1,200 or uses the bike as a traffic driver the way grocers use milk. If it is a loss leader, how long they can carry it depends on the supplier's terms and any volume commitment.
PLAYER 2
Keep going.
COSMO
Customer and channel. The segment that is buying: first-time riders who would not have paid $2,000, or our commuter customers trading down. The weight of brand in e-bikes, which I suspect is heavier than in a toaster because of service and resale. And the dealer view: sell-through by model over the last 90 days.
PLAYER 2
Good list. And what else?
COSMO
Under product, safety certification on the battery and charger, because a recall on their side removes the price threat and the dealers' request with it. Under economics, the retailer's margin on helmets and service plans, since a bike sold at cost can still earn on accessories. Under channel, whether the bike sits on the retailer's website or on the floor of all its stores, since the second overlaps more of our dealer map.
PLAYER 2
Useful. And what else?
COSMO
One area I have not touched: timing, scale, and scope. A March launch looks like a spring promotion, and a year-round assortment looks like a permanent category. The order quantity, because 5,000 units is a test and 50,000 is a commitment. And whether this is one commuter model or the first of a cargo and trail range.
PLAYER 2
So where do you start?
COSMO
Two moves this week. Mystery-shop the bike and buy one for a teardown, then pull sell-through from our top 200 dealers for the last 90 days. If commuter sell-through held, the dealers are nervous and price support can wait. If it dropped, I know which segment moved.
PLAYER 2
Dealers are calling today. They want an answer.
COSMO
Then this week's answer is that we are testing two responses that protect them without cutting list price: a dealer-exclusive commuter model the retailer cannot match, and a financing offer that closes most of the monthly gap to the $1,200 bike.
PLAYER 2
Good. Let's close.
#Second prompt: cargo bikes at dealers
Player 2 says: the cargo line is up +50% this year. On the website one order in four is a cargo bike. At dealers it is one sale in twelve. Dana wants ideas to raise the cargo share of dealer sales.
- Dealer incentives: cargo margin at or above commuter margin, a bonus per cargo sale, a demo-bike program, and a floor-space allowance.
- Customer experience: a test-ride loop with a weighted child seat, a staff script for parents who came in for a commuter.
- Offer: an entry cargo model near $2,500, accessory bundles, family financing, and a trade-up credit for commuter owners whose families grew.
Your starting point: compare dealer margin and floor space per unit on a $3,500 cargo bike against a $2,000 commuter, then rank the 1,200 dealers by cargo share, visit the top 50, and copy what they do. Your what-else: map website cargo buyers against dealer locations, because if those buyers live nowhere near a dealer, the gap is geography and the fix is coverage.
#Final Boss: The Chairlift

The last boss announces itself with a corny line. After 30 to 45 minutes of Quest Maps, exhibits, and hydra heads, Player 2 leans back and says one of the standard versions: "I have dinner with the CEO tonight and I need a concise message for her," or the BYU edition, "Dana Okafor is riding the chairlift with me this afternoon, one ride, about a minute." You lose HP here in two ways: you summarize the last question alone, or you freeze because the case has no tidy answer.
#Ask for 30 seconds
Ask for the Pause Menu here the same way you asked for it before the Quest Map: "I have a page of numbers. Give me 30 seconds to put together a clean message for her." Trained interviewers expect the request and accept 30 to 60 seconds. Write three things on a fresh corner of the page: the recommendation in one line, the two or three numbers that support it, and the assumption you trust least. Do not reread your notes from the top. The chairlift leaves with or without you.
#Three steps on one ride
The close has three parts, in this order.
- Recap. Say why the client hired you and what you did: one sentence on the problem, one or two on the work. Keep this under 20 seconds, because the CEO lived the problem and wants the answer.
- Recommend. Say what the client should do based on what you know now. A hedge with no direction is a Game Over screen, because firms hire people who commit on partial data and clients pay for a decision before the data is complete.
- Next steps. Name three areas to go deeper or wider: the analysis that would firm up your weakest number, the risk you would watch, and the question the case did not reach.
#Binary questions get binary answers
Some cases end on a yes-or-no question: buy the company or pass, enter Germany or stay home. Answer yes or no in your first sentence, then give the reasons and the next steps. Player 2 asked a binary question and grades the first word. For an open question, such as how the client should respond to a low-price rival, skip the yes or no and lead with the recommendation itself.
#Name the weakest number
One assumption in your recommendation carries more weight than its evidence. Name it before Player 2 does. In the German math, you assumed e-bikes are 50% of commuter purchases, counted 1M commuter e-bikes on that basis, and made the commuter line the lead. If that share is closer to 30%, the commuter figure drops to 0.6M, the segment shrinks by 40%, and the German market you sized drops from 2M to 1.6M e-bikes a year. Then state the fix: a competitor pricing scan and a round of German dealer interviews before you commit the launch budget. Two more pairs from the workshop: a consumer survey on price sensitivity before you raise prices, and vendor quotes before you promise supply-chain savings. One coach called this the professional way to admit a number feels shaky.
#Draw on the whole fight
Build the recommendation from all of it. Pull one number from each phase: cargo grew +50% while recreation posted -10%, commuters buy 1M of the 2M e-bikes sold in Germany each year, and the plant pays back in 3 years. Put those three side by side and Dana hears one story instead of three case questions.
#Three updates
Speak the way a partner briefs an executive: "Three updates for you. Number one..." Lead with the answer, number the points, and stop. The Answer First trophy unlocks on this ride. If Dana wants detail on point one, she will ask.
#Mock fight: the Wasatch Wheels close
PLAYER 2
Dana Okafor is riding the chairlift with me this afternoon. One ride, about a minute. She wants to know what we recommend on growth, and I need to know what to tell her.
COSMO
I have a page of numbers. Give me 30 seconds to pull the message together.
PLAYER 2
Go ahead.
Cosmo writes for 30 seconds
COSMO
Dana hired us to find growth for a $600M company that sells 400K e-bikes a year through 1,200 dealers, and we sized Germany, read the product-line results, tested a US plant, and looked at the big-box private label. Three updates for her. First, the recommendation: lead the growth plan with the commuter line and enter Germany. Commuters buy 1M of the 2M e-bikes sold in Germany each year, and commuter revenue grew +10% at home. The US plant pays back in 3 years at current volume, so it can wait behind the German entry as a margin project. Hold on price cuts against the private label until the dealer sell-through data comes in.
PLAYER 2
Keep going.
COSMO
Second, the number I trust least is the 50% e-bike share of German commuter purchases. If it is closer to 30%, the commuter segment is 40% smaller and Germany drops from 2M to 1.6M e-bikes a year. Commuters keep the lead by a smaller margin.
PLAYER 2
Give me the next steps.
COSMO
Third, next steps: run a competitor pricing scan in Germany, pull dealer sell-through for the last 90 days, and get margin by product line before we commit money to cargo.
PLAYER 2
Cargo grew +50% this year and you led with commuter. Defend that.
COSMO
Cargo is the fastest-growing line at home and 22.7% of revenue, with no margin data yet. Commuter is the largest line at home and half of the German market by units. Cargo moves to first if the margin work supports it.
PLAYER 2
Dana wants to cut prices tomorrow to match the big-box bike. Tell me why she should wait.
COSMO
Matching a 40% cut means 40% less revenue on each bike we sell at flat volume, about $240M off a $600M top line, spent before we know whether the private label has taken a single commuter sale. We get that answer from the sell-through pull in a week.
PLAYER 2
And if dealers are losing sales?
COSMO
Then we target the response. A dealer-exclusive model at a lower price point, or a financing offer through the 1,200 dealers, protects the segment under attack without repricing all three lines. I would test both before touching list price.
PLAYER 2
Good. That is the ride.
#Chairlift Game Over screens
The first screen is a two-minute recap that leaves no time for the recommendation. The second repeats the last question and forgets the first three. The third is a close with no next steps. Continue? Ask for 30 seconds, write three lines, and lead with the answer.
#The Blank Screen
Mid-case, your mind empties. Say out loud what you are doing: "Let me take stock for a second." Reread your own objective line at the top of the page, name the last thing you established, and ask for ten seconds. Player 2 is co-op and would rather hear the stall than watch the silence, and the sentence you speak while stalling points you at the next quest more often than not.
#Side Quests
Fit stories, networking, the other boss forms, and the AI trap decide whether you reach the chair and whether the team wants you once you do. Skip them and you can win the fight without reaching the Victory Screen.

#Character Select
Firms label the fit interview behavioral, fit, or a branded name such as McKinsey's personal experience interview. You will hold no formal authority inside the client: you cannot spend a dollar of the client's money or hire or fire anyone in the client's building. Your job is influence, and Player 2 wants proof that you have moved people who did not report to you.
McKinsey scores its personal experience interview on three themes: personal impact, entrepreneurial drive, and inclusive leadership. Tag each prepared story to at least one theme, and know which story you would lead with when Player 2 names the theme first.
Pull your backstory from missions, MBA projects, and jobs. One coach said many of the best leadership stories he heard as an interviewer came from missions. A companion who refused a new approach or a district whose numbers were sliding is a story about influence without authority. Class projects supply conflict and deadlines. Jobs supply dollar figures.
Build each story in five beats:
- Setup: one sentence on where you were and what your role was.
- Stakes: the problem, why it was hard, and one number if you have one.
- Moves: the decisions and actions you took, in first person singular.
- Result: one sentence with a number in it.
- Lesson: the move you would repeat or the move you would change.
Tell it in about two minutes. At some firms Player 2 then spends five to ten minutes inside the Moves beat asking why you chose that path. "We" hides you, so say "I." Prepare five or six stories, tag each to more than one prompt, and rehearse them out loud with a partner.
Three answers open or close most fit rounds, and you write them once and reuse them. The resume walk-through runs two minutes: the thread from your first job to this chair, one line per stop, ending on the reason the next stop is consulting. The reason for consulting names the work you want, the pace, the spread of problems, and the skill you plan to build. The reason for this firm runs on the specifics you collected in the Overworld: the practice a second-year described, the office culture a partner named at the Tanner Building, the project a coffee chat put in front of you.
Player 2 then turns the round over and asks what you want to know. Bring two questions the firm's website cannot answer, and tie one of them to something Player 2 said. A question the recruiting page answers costs you the last two minutes of the round, and Player 2 files it as low interest.
Give fit the prep hours the case gets. Rubric question three is the Omaha test, so follow up on the small talk Player 2 opened with, and bring stories that prove you belong in that room.
#The Overworld
Networking is travel across the map: coffee chats, campus events, NPCs who hand you the key to the chair. Once you sit down, the firm walls off the Overworld from the assessment, so a warm referral adds nothing to your case score.
Referral value swings by firm. Some firms take a partner's recommendation and put you in the chair. Others prohibit direct partner recommendations for campus candidates. At some, a note from a BYU MBA two years into the job carries weight, and one coach said that note is what gets you the interview. Ask each contact how referrals work at their firm.
MBA programs are the best-organized candidate pool a firm has, so partners come to the Tanner Building to shake hands and answer questions. One coach put in the miles as a candidate, collected zero formal referrals, and used those connections to land interviews. In each conversation, learn one thing the website does not list and ask who else you should talk to.
#Other Boss Forms
Two things change what you do in the chair: the hand on the wheel, and the costume the firm puts on the boss.
The hand on the wheel. McKinsey runs interviewer-led cases: Player 2 picks the next question, hands you one piece of the case at a time, and expects a clean answer to the question on the table. Bain and BCG lean candidate-led: you drive from your own map, name the region you want next, and ask for the data that region needs. In an interviewer-led round, answer Player 2's question, stop, and wait for the handoff. In a candidate-led round, close each answer by naming where you go next and what you want to see.
The recruiter screen (World 0). A recruiter cut is rare if you speak in complete thoughts and laugh at their jokes. If the caller works in the business, expect a simple mini case such as sizing the e-bikes sold in Utah. Mini cases run 15 to 20 minutes, so walk the five floors of the Sizing Dungeon and land the number with its Loot.
The digital gate (World 0). Once you clear the bar, the firm sets the score aside. Some gates are reasoning games, some are a chatbot case, and some test numbers and charts under a clock, so read the firm's own prep page, then drill mental math and chart reading, the work that raises your MP.
The presentation interview. In the EY and PwC form, you sit alone with the deck, the spreadsheet, and no phone. Read the question first, write an answer-first storyline before you open the spreadsheet, and give each slide one message in its title. Panel questions are a Boss Fight in a suit: number, Loot, next step.
The group interview. Few MBAs see this form. Open with a structure, hand airtime to the quiet person, and tie the group's ideas together at the close.
#The AI Trap
You can drill with AI and get sharper, or you can grade with AI and walk into the Dungeon blind. Good uses include mental math drills, Fraction Scroll quizzes, fresh prompts at 11 pm, building a Quest Map and asking the model to find the missing Region, and plain-language explanations of a sector new to you.
The trap is the feedback. One coach put it this way: the grading skews positive, and the model praises whatever you produce. A tool that calls your six-minute framework excellent has stolen the one thing practice exists for: finding the weak event in your decathlon.
Case with humans for the verdict. The best feedback comes from an MBA2 who went through consulting recruiting and has sat on both sides of the table for 20 to 30 cases. That person will tell you how you come across. Use AI for the drill and a person for the score.

Game Over screens on the way:
- Stock instead of flow: you reported the 84K e-bikes in Utah homes when Player 2 asked for units sold per year.
- 100% ownership: you assumed a whole segment buys and failed the reasonable test.
- Silent math: you solved with your head down and Player 2 lost the thread.
- No pause: you built the framework without asking for the Pause Menu.
- No Loot: you delivered a number and stopped talking.
- Rambling past three minutes: your Quest Map ran long and lost its priority order.
- Saying "dumb question": Player 2 dodged, and you apologized for a question that belonged in your map.
Each screen ends the same way: "Continue?" Press yes. The next live case runs Tuesday at 5 pm.
#Training Grounds

The Boss Fight is a decathlon. A former McKinsey engagement manager told the room that a decathlete two weeks out, strong in the sprints and weak in the throws, spends those two weeks throwing. You train the same way. After each live case, score yourself 1 to 5 on the five events: the Opening Cutscene, the Quest Map, the Number Cruncher, the Idea Hydra, and the Chairlift. Take the two lowest scores and drill those events for the next seven days.
#Out Loud Only
Silent drills build MP and earn no XP. Say the equation before you touch a number, say each step, say the loot. Your partner hears the ramble past three minutes that you cannot.
#The Three Tiers
Foundations, about two weeks. In a Foundations week you watch two full cases and time each phase, take one case and accept a rough result, rebuild its Quest Map the next day, memorize the Fraction Scroll and the US and Utah Atlas blocks, and read one framework tree and one Codex page a day. You clear the tier once you have five full live cases in the log.
Intensify, about four weeks. In an Intensify week you take two or three cases and give one, run a blended prompt (market entry with a pricing twist), drill the Spellbook against a timer, run three Sizing Dungeon prompts and two Idea Hydra prompts, and tell one Character Select story to a partner who times it. You clear the tier with ten out-loud cases logged and a fit story you can tell in two minutes.
Adaptability, the last two weeks. In an Adaptability week you take cases from partners new to you, ask for different firm styles (a snappy Bain pace, fit-first McKinsey), state the loot from five charts in one sentence each, do one video case with hands and paper on camera, and run a 45-minute mock in the Dungeon. You clear the tier when your math holds on a clock, a chart takes you one sentence to read, and an unfamiliar case type no longer rattles you.
#The Eight-Week Schedule
| Week | Tier | Live cases (out loud) | Drills | Fit stories |
|---|---|---|---|---|
| 1 | Foundations | Watch 2, take 1 | Spellbook 10 minutes a day, Fraction Scroll | 8 story seeds |
| 2 | Foundations | Watch 2, take 1 | Atlas US and Utah, 1/80 trick, profitability tree | Write 2 stories |
| 3 | Intensify | Take 2, give 1 | Market entry and growth trees, 3 sizings | Write 2 more, tell 1 |
| 4 | Intensify | Take 3, give 1 | M&A and pricing trees, 1 blended prompt, 2 hydras | Tell 2, timed at 2 minutes |
| 5 | Intensify | Take 3, give 1 | 5 exhibits out loud, operations tree, Codex quiz | Tell 2, rewrite 1 |
| 6 | Intensify | Take 3, give 2 | 3 sizings with true-ups, 3 hydras | 20-minute Character Select mock |
| 7 | Adaptability | Take 3 with new partners, 1 by video | Math sprints, 5 charts, 5 hydras at 4 minutes | Refine the 2 weakest |
| 8 | Adaptability | 2 full 45-minute mocks in the Dungeon | Light drills, Game Over screen review | All stories once |
Taken cases sum to 18, 11 of them inside Intensify, past the ten the coaches set.
#The Tuesday Practice
The BYU MBA Strategy and Consulting Association runs case practice on Tuesdays at 5 pm. Block all eight Tuesdays now. Second-years who recruited last year run the room. Bring one case you can give, printed with its exhibits, and name the two events you want feedback on.
#Giving a Case to a Partner
Playing Player 2 earns XP too: you hear a dodge from the other side and see a map from above. Pick a case with an answer key. Read the prompt once at a normal pace and keep the paper. Answer questions about the client's business and its objective. Dodge analysis in disguise with "we do not have that, but include it in your structure." Give a number only after your partner says why they want it. Note the time at each phase change. Push back once on the recommendation. Hold the teaching until the end. Coaching mid-case trains neither of you. Then give feedback in the three buckets the firms grade: structure, problem solving, and communication. Offer one keep and one fix per bucket, each tied to a timestamp.
#Taking Feedback
Write the feedback down before you speak. Ask for the moment it happened if the note is vague. Skip the defense and spend that time on the drill that stops the ramble. Target the note that costs the most points in your next case. Keep a log of date, partner, case type, scores, and the note. Weigh the source: a second-year with 20 to 30 cases in both chairs sees patterns, a first-year partner sees timing and numbers, and an AI partner sees a strong candidate no matter how you did. Repeat the case type until you run three cases without hearing that note.
#Scout the Firm
Before a round, learn two things about the firm across the table: the pace it likes and the shape its cases take, interviewer-led or candidate-led. Candidate forums carry the pace, the firm's own prep materials carry the shape and its sample cases, and a second-year who interviewed there last fall carries both. You are calibrating the timing benchmarks in Level 2, the 2:30 head down and the 2:15 to 3:00 walkthrough, to the firm in front of you. Walk in knowing which end of that range your Player 2 expects.
#Trophy Room

You unlock each of these fifteen Trophies with a partner watching.
- Asked for the Pause: request two minutes before the Quest Map, three cases running.
- Save Point Set: recap a prompt with each number confirmed, once over video.
- Brave Question: ask what the product does in an industry new to you.
- Dodge Absorbed: get a question dodged and move on without calling it dumb.
- Full Map: four regions, twelve quests, each with a "so that," in under three minutes.
- No Overlap: your partner hunts your map for an overlap or a gap and finds none.
- Reasonable Numbers: defend an ownership rate when Player 2 asks why.
- Fraction Scroll: recite 1/2 through 1/100 without a glance at the page.
- The 1/80 Trick: size an age cohort out loud at 1.25% per year of age.
- Stock to Flow: convert an installed-base answer to annual sales before Player 2 does.
- True-Up: add fleets, rentals, and businesses to a sizing before Player 2 asks.
- Slip Recovery: catch a slip on a sense check and fix it in one sentence.
- Answer First: number, then loot, then next step, three cases running.
- Hydra Tamer: answer Player 2's second "what else" with new heads and no repeats.
- Chairlift Ride: recap, recommendation, least-supported number, next steps, in under 60 seconds.
#Glossary
| Term | Plain-language definition |
|---|---|
| MECE | Regions do not overlap, and together they cover the whole problem. |
| Hypothesis | Your best early guess at the answer, and your reason to explore one region first. |
| Issue tree | The problem split into branches of questions, each answerable with one analysis. |
| So what | The meaning of a result for the client and the action it points to, the Loot in this guide. |
| 80/20 | A few causes drive most of the result, so you chase the biggest drivers first. |
| Boil the ocean | Analyzing everything when you could settle the question with three analyses. |
| Answer first | Recommendation first, reasons second, detail last. |
| Pyramid principle | One conclusion on top, grouped arguments beneath it, facts beneath those. |
| TAM | Total addressable market: annual revenue if the product reached each possible buyer. |
| CAGR | Compound annual growth rate: the steady yearly rate from a start value to an end value. |
| Contribution margin | Price minus variable cost per unit: what each unit contributes toward fixed cost and profit. |
| Fixed and variable cost | Fixed cost holds steady as volume moves (rent). Variable cost rises with each unit (parts, freight). |
| Gross margin | Revenue minus the cost of making the product, divided by revenue: what is left to cover the rest of the company. |
| Operating margin | Operating profit divided by revenue, after selling costs and overhead come out. |
| EBITDA | Earnings before interest, taxes, depreciation, and amortization: a rough stand-in for the operating cash a business throws off. |
| Breakeven | The volume where revenue covers total cost: fixed cost divided by contribution per unit. |
| Payback | Years for annual net benefit to repay the investment: capex divided by net benefit per year. |
| NPV | Net present value: future cash flows discounted to today, minus the investment. A positive result means the project creates value. |
| ROI | Return on investment: the gain divided by the money you put in, over a stated period. |
| IRR | Internal rate of return: the yearly return a project earns on the cash it ties up. |
| Hurdle rate | The lowest return a company accepts before it funds a project. |
| Terminal value | The worth of all years past the end of your forecast, rolled into one figure. |
| CAC | Customer acquisition cost: sales and marketing spend divided by new customers won. |
| LTV | Lifetime value: the profit one customer brings over the whole relationship, estimated as margin per period divided by churn. |
| Churn | The share of customers or revenue lost in a period. |
| Market share | Your sales divided by the whole market's sales, in units or dollars. |
| Penetration | The share of possible buyers who already own or use the product. |
| Willingness to pay | The most a buyer would pay before walking away. |
| Elasticity | Percent change in units sold per percent change in price. Above 1 in absolute terms, a price rise cuts revenue. Below 1, it adds revenue. |
| Synergy | Extra profit a combined company earns beyond its two parts. Count it once you can name the line item. |
| Workstream | One Region of the Quest Map turned into a teammate's job on day one. |
| Steering committee | Client executives who meet the team at milestones to review findings and decide. |