Wealth & Trading · Product Owner / Head of Product

Interview Prep Hub

Made by Art Mazurchak · Telegram channel Mazurchak: Берлин и AI
Everything for the Revolut Problem Solving round in one place.

MECE — the one principle behind everything below

Mutually Exclusive, Collectively Exhaustive: the branches of your structure don't overlap (every cause lives in exactly one branch) and together cover 100% of the possibilities (nothing important is left out).
✅ MECE: Profit = Revenue (price × volume) − Costs (fixed + variable) — every euro of change lives in exactly one branch.
❌ Not MECE: "pricing / competitors / marketing" — a competitor's price cut belongs to two branches at once, and costs have no home at all.
Why Revolut cares: a non-MECE tree double-counts one cause or silently drops the real one — the interviewer spots it instantly ("no overlap, no gaps" is verbatim in their guidance). Easiest routes to MECE: an equation or a process/funnel framework — see Method digest below.
pronounced /ˈmiː.siː/ — "ми-си"

Official guidance

Official guidance email from Revolut — full content, restructured

Format & mindset

  • You get a problem statement and lead the discussion as a just-hired experienced Product Owner; the interviewer plays a junior employee / client who hired you to diagnose root causes and provide targeted, creative solutions.
  • The interviewer will not guide you — but shares data points when you ask.
  • Think like a CEO — ownership, independence, structured thinking.
  • Goal: they should leave trusting you to build and scale a product area independently — hands-on and commercial side.

Start strong — first 5 minutes

  • Clarify the goal, success metrics (KPIs), timeline early.
  • Define key terms clearly.
  • Be precise in questioning — irrelevant questions are marked down.
  • Data-driven from the start; state assumptions explicitly when data is missing.

Throughout the interview

  • Think aloud — let them follow your logic.
  • Stay time-aware — pace Part A vs Part B yourself.
  • Lead confidently and independently; show “Think Deeper”.
  • Domain expertise not required — act like a management consultant with product intuition.

Part A — root cause analysis

  • Frame with a MECE breakdown — no overlap, no gaps.
  • Explore 100% of customer groups / levers / funnel stages.
  • Ask for and interpret data points to validate or kill hypotheses.
  • Push boundaries — challenge constraints thoughtfully.
  • Stay structured — don't jump between branches.
  • Root cause must come from data, not guesses.

Part B — solutioning

  • Only start after the root cause is confirmed.
  • 2–3 targeted, high-impact solutions tied to the found issues.
  • Prioritise as a short / mid / long-term roadmap.
  • Size the impact — KPI uplift, cost reduction; show commercial awareness.
  • Trade-offs across PnL · UX · Technical (unit economics, friction, scalability).
  • Favour solutions that simplify; outline implementation steps.
No AI tools during the interview. Interviewers are trained to spot it — the discussion-based format makes it obvious.
Goal · KPI · timeline
→
MECE structure
→
Data → root cause
→
2–3 solutions
→
Prioritise + size
→
Trade-offs + implementation

Practice videos

Both linked from the official guidance email
Revolut problem-solving interview tutorial
Revolut's own tutorial · 6 min
“How to succeed in your problem-solving Interview” — official tips for exactly this stage. Watch first.
Open on YouTube ↗
Prepmatter profitability case study
Example case walkthrough · Prepmatter (ex-BCG)
“A Profitability Case Study” — the format Revolut calls very similar. Note how the candidate structures: clarifying questions → framework → root cause → solutions → risks; separates price vs volume vs fixed vs variable costs; quantifies impact; leads and thinks aloud.
Open on YouTube ↗

Key insights from the videos

Prepare a 2-minute pitch. The tutorial says the interviewer may open with an intro request: “think about a two-minute pitch of who you are and what makes you amazing.” Not only for the HR screen — for this round too.

From Revolut's tutorial

  • Interviewer is a senior team member and proven problem solver — the interviewer is a product person, not a recruiter.
  • They assess three things: structured thinking · data-driven approach · solving new, unfamiliar problems.
  • The case may be from an industry unrelated to your field — “don't come over-prepared”; the point is to ask questions and connect the dots.
  • “You're not going to get any information that you don't ask for.” Take control; dig deep via the interviewer.
  • Pen and paper — you're not expected to be a human calculator.
  • Silence is okay — if you need time, take it. Restarting a track is fine and not penalised.
  • Synthesize out loud — they want to follow how you reach the solution.
  • Final solutions should sound like an elevator pitch with a KPI or number attached.
  • At the end they expect a clear summary of the conclusion and how you reached it.

From the Prepmatter case — judges' feedback

  • What scored well: clarified the goal, success target and definitions before the framework; led the case without prompts; read every exhibit slowly before speaking.
  • Killer analytical move: compared variable-cost-to-revenue ratio across years (75% → 80%) instead of absolute numbers — that unlocked the second root cause.
  • Closing synthesis = diagnosis + recovery strategy + next steps, delivered as a client recommendation.
  • What got marked down #1: the framework didn't explicitly name price · volume · fixed costs · variable costs. Say these four words out loud in your structure.
  • What got marked down #2: clarified too late what the “$500M objective” meant — profit, cash, or revenue? Pin down units and definitions immediately.
  • When all obvious solutions were rejected, the interviewer pushed for an “extraordinary” idea — expect a stress moment where standard answers are refused; pause and widen the frame (shrink the business, sell assets).
  • Sanity-check feasibility of the target against company size — calling out that $500M may not be feasible earned credit.

What case to expect

Analysis of 20 recent Product Owner interview reviews on Glassdoor
6 of 9 concrete cases reported are trading/investing profitability. Most likely prompt: “Revolut's stock trading product: gross profit dropped / turned negative — find the root cause and fix it.”

Archetype A · ~70% — profitability RCA

  • “Trading gross profit turned negative — what do you do?” (Jun 2026, London)
  • “Trading profits dropped — investigate” (Feb 2026, Limassol)
  • “Gross profit drop after the GameStop situation” (UX stream, Dec 2025)
  • “Credit card gross profit declining for 4 months” (Mar 2026, Dubai)

Archetype B · ~30% — growth case

  • “Double cash deposits over the next year” (Jan 2026)
  • “Increase Revolut's revenue by 100%” (PM, Dec 2025)
  • One candidate prepped only RCA, got a growth case, and failed. Prepare both skeletons — same opening, different tree.

Sub-type A2 — funnel / KPI diagnostics

  • Same RCA muscle, but the tree is a funnel (flow-based), not Revenue−Costs: “onboarding conversion dropped”, “referral on a 3-week cycle underperforms”, “launched cash deposits — key KPI is down” (all in the Exponent Revolut bank).
  • Third tree to have ready: stage → conversion → where it leaks. Your home turf — the TTP funnel work maps 1:1.

What NOT to over-prep

  • Never seen in Revolut PS reviews: market entry, M&A, pricing cases, market sizing — skip those chapters in the casebooks.
  • “Improve the referral program” + wireframe critique → that's round 2 (Product Sense). Brain teasers + “rate yourself 1–10” → Bar Raiser, not here.

Coming next on this page

  • Mock case sessions log with feedback
  • Done: ✅ case ladder · ✅ method digest · ✅ training resources · ✅ The Playbook · ✅ prep-call notes (see Playbook section)

Training resources

Deep research 18–19 Jul: 106 agents, 24 sources, 25 claims verified adversarially (22 confirmed, 3 refuted).
The case is public. Exponent's free Revolut question bank contains the expected case almost verbatim ("You're the PM for our stock trading product. Gross profit has dropped significantly — what would you do?") plus a second trading-PnL variant posted 1.5 years apart — Revolut reuses this case family.

Free — the core

  • Exponent Revolut PM bank — write your own structure for every Revolut-tagged question (trading PnL ×2, referral, onboarding, deposits).
  • Free MBA casebooks (26 books / 500+ cases, no signup). Profitability RCA: Kellogg 2020 (easy→hard) + Yale GCC 2024. Growth: Yale GCC 2024 + Tuck 2024.
  • PrepLounge Revolut guide — the most Revolut-specific free article.
  • ADPList — free mentors (137+ interview coaches); quality varies, book 2–3 in parallel.
  • Claude mocks — candidate-led case with data-on-request, unlimited free reps. (AI simulators like CaseCoach AI / Yoodli: claims didn't survive verification.)

Paid — only where it adds value

  • PrepLounge Premium — $69 one-time, 1 year: unlimited live peer mocks in English (free tier caps at 10), ~200 cases, ~200 drills. The verified best buy for a 3–6-week runway. Don't buy their coaching (Trustpilot 3.5, "inconsistent quality").
  • Mariana Zarth 1:1 (PrepLounge) — €249/hr. Ex-McKinsey + 3 yrs running case interviews at Nubank; PrepLounge's "#1 coach for Revolut PS": 5.0★, 39 verified reviews, 93 coachings. Best paid option; book for ~1–4 Aug after 5–10 solo cases. ⚠️ Her $299 video course — skip: same framework as her free PrepLounge article (she's the author), zero independent reviews, "4x pass rate" claim unverifiable.
  • Prepfully: ex-Revolut Product Owner coach — $249/60 min (first-client price, from $319). The only verified Revolut-PO insider for hire. Caveat: "New" badge, no reviews, credential self-reported — message first, ask if they ran the PS round.
  • IGotAnOffer — $100–250/session (45-min mock + 15-min feedback). ⚠️ "Ex-Revolut interviewers" headline is oversold: 1 current-Revolut consultant, 0 ex-Revolut POs on the roster. Use only for a generic ex-MBB mock.
  • RocketBlocks — $35/mo, 7-day free trial; structured drills (consulting + PM tracks). Optional.
Free-only plan $0 Recommended $69 Max useful ~$320 Spending more: no verified value

Case ladder — what to solve, easy → hard

All 64 cases in the three casebooks scanned and filtered. 14 relevant picks below; ⭐ = closest to the Revolut archetype. Links open the local PDF at the case's page.

Level 1 · Warm-up (days 1–3 of casing)

BakeryYale GCC p.149 · profitability RCA · Qual 3 / Quant 2 · role-play
"Hey buddy, I need your help. You know the bakery I've been operating on the side? I haven't checked the balances in a while, but last week I went through the financials and realized that the business has been making a loss. Can you help me figure out what the problem is and how to bring it back in the black?"
Given on request: side business, open Mon 10–17 and Tue–Thu 10–13 · rich neighborhood, local customers, selling point = handmade & organic · no changes in overhead, rent or labor · 6 employees.
The gentlest full RCA and the closest in format to a live conversation — the interviewer plays a friend. Product-level margin × volume, then fixes. Attention goes to hypothesis discipline, not math.
Open the case in PDF · p.149 ↗
Vitality InsuranceKellogg p.233 · profitability RCA · financial services
"Our client, Vitality Insurance, is a leading provider of supplemental insurance products in the United States. Vitality agents partner with companies to offer their employees optional, supplemental insurance for such conditions as life, long-term disability, etc. Vitality has undergone fairly steady growth in the past two years, but profit margin is decreasing. What should they do about it?"
Given on request: category leader, 10,000+ field sales agents paid purely on commission of new premium, plus bonus "sales contests" · major costs: sales, G&A, advertising · few competitors, mature market · agent turnover very high.
Revenue grows, margin falls — and the root cause is internal, not market. Trains "the obvious branch is not the answer".
Open the case in PDF · p.233 ↗
Aftermarket Auto PartsTuck p.22 · growth · easy warm-up · LEK
"Our client, KLE Capital, is evaluating the acquisition of company ABC, a leading branded manufacturer of high-performance automotive aftermarket engine air filters. ABC's product improves a vehicle's performance and lasts 5× longer than standard filters. Sales channels: retail auto parts stores, warehouse clubs, repair shops, e-commerce. ABC primarily serves the do-it-yourself channel, with a small presence in do-it-for-me. KLE is interested in assessing opportunities to grow ABC post-acquisition."
Given on request: 90% of sales in North America · 100% aftermarket (replacement, not factory-installed) · excellent quality reputation and high brand awareness.
Easy candidate-led growth warm-up: structured growth-avenue brainstorm + share math; part 3 "how would you test each opportunity" is PM-style validation thinking.
Open the case in PDF · p.22 ↗

Level 2 · Core — the Revolut archetype (days 4–10)

⭐ Events.comKellogg p.76 · profitability RCA · SaaS take-rate — do this one twice
"Our client is Prospect Equity Partners, a PE firm investing in technology. They have recently acquired Events.com — a leading SaaS registration/ticketing platform for endurance events (5K runs, marathons, triathlons). It makes money by processing registrations and charging a fee per transaction ($100 registration × 10% fee = $10 revenue). Events.com has doubled market share since 2015, but in the last two years revenue is flat and profits are down, despite growing share. Determine what is causing this and come up with a plan to improve profitability."
Given on request: market declining ~4%/yr since 2015 (fading hype of color/mud runs) · two main competitors, no new entrants · all customers US; historically local 5Ks, recently signed IRONMAN ($125M transaction volume/yr) and other premium events · platform is 10+ years old.
The single closest case to your interview: take-rate economics, "share grows yet profit falls" — the exact shape of the Revolut trading gross-profit case.
Open the case in PDF · p.76 ↗
⭐ Gas StationYale GCC p.75 · profitability RCA + mix-shift · Qual 4 / Quant 2
"Our client is a large oil and gas company with branches all over the United States. Over the past year or so, they have noticed a decline in profits. What factors may be contributing to this and what can they do to alleviate the situation?"
Given on request: two segments — filling station (low margin) and convenience store (high margin) · customers shop gas-only, store-only, or both · store count constant 3 years; gas revenue at industry average, store prices above competitors.
Profit decline → segment split → mix-shift funnel insight: the aggregate hides customer migration between segments. Exactly the move Revolut KPI cases reward.
Open the case in PDF · p.75 ↗
⭐ Craft CoTuck p.28 · subscription profitability + growth · EY-Parthenon
"Our client, Craft Co., is a subscription service sending customers kits for adult crafting and DIY projects (watercolor painting, woodworking). Customers pay a monthly fee based on the number of kits; Craft Co. sends a box of supplies. It grew rapidly during COVID but has seen a dip in recent quarters as new competitors entered. Management wants to assess current performance and identify whether it can grow profitably and regain market share in the next 3–5 years: (i) how has Craft Co. performed recently? (ii) what strategies can it implement to grow profitability and share?"
Given on request: target audience 18–35 · first major player; competitors entered from end-2020 · no specific ROI target — short-term strategies (1–3 yrs) matter most · US only.
Recurring-revenue economics — the closest thing to fintech subscriptions: segment P&L → decline RCA via competitor survey → stabilization levers. Full diagnose→solve cycle.
Open the case in PDF · p.28 ↗
SuperstoreYale GCC p.115 · KPI diagnostics · Qual 4 / Quant 3
"Our client is a drive-and-park superstore based in the London metropolitan area. They recently expanded from the suburban areas to the city. However, their market share has decreased despite the opening of these new stores. What factors might be contributing to this and what should our client do?"
Given on request: Walmart-like range · 24 stores: 20 suburban, 4 city · industry growing ~2% · around the expansion a major competitor opened its 14th–16th city stores · no change in operations or management · avg basket: 5 items × ~$5.
"We expanded, share fell — why?" Clean internal/external tree + a saturation-curve exhibit; ends in a quantified reallocation decision.
Open the case in PDF · p.115 ↗
Montoya SoupKellogg p.151 · profitability RCA disguised as a cost case
"In F14, Montoya Soup, a business unit of Izzy's Healthy Foods, grew revenue and increased contribution margins on their traditional and light soups. However, a spike in fixed costs caused a dip in profitability. To offset this in F15, they launched a line of premium soups to increase volume and generate economies of scale. Though they felt the launch was a success, profitability dropped again in F15. Diagnose the problem and propose a solution for F16."
Given on request (deliberately sparse — assumptions expected): Montoya sells cases of soup to grocery retailers who mark up · Traditional, Light and Premium are the only three product lines.
The book warns: a portfolio-pricing case disguised as a cost case — the antidote to template thinking, and a twin of "we launched something successful and profit fell" (your Futures-subscription world).
Open the case in PDF · p.151 ↗
Tuck Air IITuck p.132 · feature monetization + adoption funnel
"Our client, Tuck Air, is a large national low-cost airline considering installing in-flight Wi-Fi to improve its customer experience. Its fleet of 250 Boeing 737-500 aircraft is economy-only; it serves a mix of business and leisure passengers. Determine the required specifications for the network and its financial viability."
Given on request: domestic hub-and-spoke out of Boston · survey shows the client lags peers on passenger experience, Wi-Fi is the key ask (esp. business passengers) · policy: break even on CAPEX within 3 years.
Feature monetization like a Revolut product question: pricing-model brainstorm → adoption mini-funnel (segment × connect rate) → breakeven per option.
Open the case in PDF · p.132 ↗
TacotleKellogg p.217 · profitability RCA · Moderate (official rating)
"Your client is Tacotle, a leading national fast-casual restaurant with $420M revenue in 2019. Over the five years preceding 2019, Tacotle experienced steady revenue growth and industry-leading profitability. But for the first time in its 15-year history, it has had three straight quarters of EBITDA erosion. The CEO hired you to explore what is causing profits to drop and what can be done to reverse the tide."
Given on request: goal = return to positive annual profit growth short-term, no specific milestone · market info deferred until after your framework · EBITDA = earnings before interest, tax, depreciation, amortization.
First EBITDA erosion in 15 years: trend analysis → revenue = price × units decomposition → operational causes. The full Revolut skeleton in 7 steps.
Open the case in PDF · p.217 ↗

Level 3 · Hard & stamina (days 11–15)

High Q PlasticsKellogg p.115 · profitability RCA + target feasibility
"Our client, High Q Plastics, is a US automotive parts supplier — plastic injection-molded parts (grills, door handles, trim) sold to automotive OEMs and the aftermarket. The client has recently seen declining profits, primarily due to increased price competition from new overseas competitors in China: annual profits declined from $50M to $20M over the past few years. What is the reason behind declining profitability? How can High Q improve profits? Can they reach $100M in profits by 2014?"
Given on request: auto sales still growing (emerging markets) but manufacturing is leaving the US · category leader, US-based production, quality above most Chinese rivals · OEMs push cost reduction → price war among suppliers.
Double task: diagnose the decline and sanity-check whether the $100M target is achievable. Comparative cost analysis across 4 plants.
Open the case in PDF · p.115 ↗
College post-COVIDYale GCC p.53 · turnaround · Qual 3 / Quant 3
"Our client, Lumina College, is a small US liberal-arts institution offering two bachelor's programs: B.S. in Economics and B.A. in English. It has experienced significant financial difficulties in the backdrop of COVID-19 and is on the brink of closure. Help improve the client's long-term profitability and establish a resilient, future-oriented financial trajectory." Then sequentially: what to prioritize to cut expenditure → the best way to reduce staff costs → find the optimal price for a semester-long online course from other colleges' enrollment data.
Given on request: "future-oriented" = resilient to pandemic-style shocks · keep the analysis program-agnostic.
Turnaround with both legs: cost restructuring + a new revenue line — trains "don't just cut, find growth". Worked answers are slide images, so you reason the middle yourself (good for solo practice).
Open the case in PDF · p.53 ↗
Salty Sole ShoeKellogg p.199 · profitability to target · Hard (official)
"Your client is a retail-focused PE firm that owns Salty Sole, a leading designer of junior women's footwear (ages 14–22). Salty Sole was purchased last year expecting substantial profits upon sale in 2012 by increasing EBITDA. Due to a recession, annual profit has grown only modestly and is not on track for the double-digit returns anticipated. How can the company increase profitability and achieve the PE firm's ROI objectives?"
Given on request: US market leader; apparel is cyclical · designs and distributes to discount retailers, outsources all manufacturing on fixed contracts (treat manufacturing as fixed costs) · "me-too" strategy: follows fashion, prices below name brands.
EBITDA-to-target into a recession: full costs → revenues → share cycle under a hard ROI goal. Officially Hard.
Open the case in PDF · p.199 ↗
Kitchen CoTuck p.52 · ambiguous growth transformation · Difficult · Innosight
"Our client is a global consumer-product company whose US brands are #1 or #2 in their categories — blenders, toasters, slow cookers, coffee makers, irons, fans, clippers — with a small but fast-growing international business. The CEO recognizes that seismic change is occurring in the market and that 'business as usual' will not sustain the company — but he is not sure his leadership team shares his concerns. Identify and analyze the internal and external forces that could significantly alter the business over the next 10 years, and recommend how Kitchen Co should prepare and act."
Given on request: 10-year aspiration $3.5B revenue at 35% gross margin · goal: global leader in home solutions · shift toward durable + consumable business model · data drip-fed as the case unfolds.
Deliberately ambiguous — "the candidate must drive the direction". The stamina test for a candidate-led 35–40 min; has explicit "what you should / should NOT say" grading. Exhibits are images — open the PDF (pp. 61–62).
Open the case in PDF · p.52 ↗
Garthwaite HealthcareKellogg p.86 · cost-side RCA · insurance · Hard (official)
"Our client is Garthwaite Healthcare Co (GHC), a health-insurance firm in the Midwest. Customers pay a fixed monthly premium per person; in exchange GHC pays for all health services members require. In recent years GHC's financial and competitive position has begun to decline. Determine what is causing the problem and how to fix it."
Volunteered up front (book's design): mutual insurer — profits returned as lower premiums, expects 5% margin · market share steady despite national player UHC (30%) · national medical-cost inflation 10% over 5 yrs; GHC's costs grew 12%, UHC's 10%.
Best pure cost-side RCA in financial services: benchmark vs market, then Medical cost = claims/customer × claimants × cost per claim. Interviewer-led — run it as candidate-led, ignore the scripted call-outs.
Open the case in PDF · p.86 ↗

Extra drills (optional)

TowelsYale GCC p.120 · cost-side + margin arithmetic · Qual 3 / Quant 4
"Our client is a manufacturer of linens and towels based in Germany. Their towels have recently suffered declines in profit, so they are thinking of cutting costs. What can our client do to cut costs without affecting product quality?"
Given on request: decline is mainly revenue-driven, client counterbalances via costs — target ~10% cut · four towel sizes: S, M, L, XL.
Cost-tree decomposition + the kill-the-SKU twist that requires backing unit profit out of a 20% margin. Good margin-arithmetic drill.
Open the case in PDF · p.120 ↗
Burrito CartYale GCC p.93 · growth unit economics · Quant 5 — math under pressure
"Our client is the owner of a burrito cart in the city of Sunnydale. His business is profitable but he wishes to expand it and increase profitability by operating a second burrito cart in the city. Would you recommend that he does so?"
Given on request: two clusters — Uptown (current; prime 11:30–13:30, 100 customers/hr) and Downtown (prime 11:00–14:00, 200/hr) · $5/burrito, max 50/day, 5 days × 4 wks · variable $1/burrito, fixed $1,500/mo for a new cart.
Full P&L build for a location decision — the heaviest mental math of the set. Trains "keep the numbers straight while talking".
Open the case in PDF · p.93 ↗
Nutters of Savile RowTuck p.72 · "KPI dropped — why" · ops diagnostics
"Our client is Nutters of Savile Row, a legendary tailoring business opened in 1969 — it dressed Mick Jagger, Twiggy, Elton John and three of the four Beatles on the Abbey Road cover. Nutters offers made-to-measure and bespoke suits. Lately it has heard grumblings from customers. Fearing declining customer satisfaction, the owner has approached you: what could be driving declining customer satisfaction at Nutters?"
Given on request: main store on Savile Row + workshop a few streets away · dissatisfaction picked up in the past two months · no recent changes to manufacturing processes.
Pure "metric dropped — why": isolate the driver → process-flow bottleneck → capacity fix. Structurally identical to a funnel diagnosis; deliberately conversational.
Open the case in PDF · p.72 ↗
Healthy FoodsKellogg p.104 · pure growth / share-of-wallet
"Our client is Healthy Foods, a wholesaler serving a variety of clients with food products. The client is profitable but wants you to help find revenue growth opportunities from their current business. How can we help Healthy Foods drive their revenue growth?"
Given on request: several customer categories (exhibit) · customer priorities ranked: price → convenient delivery → location planning → menu help → website → inventory · market leader, not losing share.
The cleanest growth/share-of-wallet drill — trains the solutioning half: segment → need → offer → size.
Open the case in PDF · p.104 ↗
  • Skip in all three books: market entry, M&A, sizing, NPV-investment cases (17 in Kellogg, 17 in Yale, 5 in Tuck) — not the Revolut PS format.

Method digest — one system from three books

Everything instructional the three casebooks contain, merged (sources: Kellogg pp.6–21 · Yale GCC pp.1–9, 181 · Tuck pp.7–20)

⭐ The case roadmap: Context → Root Cause → Recovery → Risks

From the worked case in the video Revolut themselves linked in the guidance email. This is not an issue tree — it's the map of the whole conversation, announced up front. The profit tree lives inside bucket 2.
BucketWhat goes insideYour fintech version
1 · Context The business as snapshots, not trends: product segments and the size of each · geographic footprint and size per region · customer segments and size of each · main competitors and market share. How does the product monetize (interest / interchange / fees / commission)? Which plans or tiers? Which markets? Which customer segments — new vs existing, retail vs premium? Who do we compete with and where do we sit?
2 · Root Cause Analysis Quantitative: profit tree to pinpoint the cause — historical trends by revenue stream and by cost line; comparison with competition (is it just us, or the whole market?).
Qualitative: what drives each component — the "why" behind the number.
Name the four words out loud: price · volume · fixed · variable. Then rates, not absolutes: take rate, loss rate, cost per transaction, step conversion. Then the "why": a pricing change, a campaign, a vendor swap, a mix shift.
3 · Recovery Strategies Direct — fix whatever broke on the revenue or cost side.
Indirect — if the cause can't be fixed (a shrinking market, a macro shock), make up the loss elsewhere.
2–3 solutions tied to the mechanism, each with sizing, trade-offs (PnL · UX · tech) and implementation. Label them immediate / structural / long-term, then say which one you'd start with.
4 · Risks Risks of your own proposals — customer adoption, regulatory, competitive response — plus what you'd do about them. Churn from repricing, regulatory limits (best execution, affordability checks), vendor terms, cannibalisation. Never generic — always the risk of this recommendation.
  • Why it's worth copying: the judges in that video praised the candidate for exactly this — he avoided "the common mistake of immediately delving into revenue or cost trends" and first grasped the fundamentals: what the product is, who the customers are, what the geography looks like.
  • Their one criticism — the root-cause bucket should have explicitly named price, volume, fixed and variable costs. Say those words when you present the structure.
  • Announce it, then follow it. Say all four buckets in ~40 seconds before asking for a single number, and use them as transitions: "That closes the diagnosis — let me move to recovery strategies."
  • When NOT to use it: funnel / KPI-drop cases (onboarding, activation). There the roadmap is the funnel steps themselves. Saying "a profit tree doesn't fit here, I'll structure this as the funnel" is itself a strong signal.

The 4-bucket opening framework (from the case walkthrough video)

BucketBranchWhat it means — questions you're really asking
1 · Competition Market The playing field: market size, growth or decline, trends and shocks. Is the whole market moving, or just us? (First test of "internal vs external".)
Competitors Who else is in the game: market shares and their dynamics, new entrants, competitors' recent moves (price cuts, launches). Do they have the same problem we do?
2 · Company Differentiators What makes the client win: brand, technology, cost position, distribution, reputation. Has any advantage recently eroded?
Financials The client's own numbers: revenue and cost trends, margins by segment/product/region. Where exactly in the P&L does the problem live?
3 · Customer Preferences Who buys and why: segments, needs, buying behavior, satisfaction, churn. Have preferences shifted (to a competitor, to a substitute, away from the category)?
Elasticity Price sensitivity: how volume reacts to price changes, willingness to pay by segment. Can we raise price without losing the base — or did a past price move cause the problem?
4 · Product Unit economics One unit under the microscope: price − variable cost = contribution per unit, take rate, margin by SKU/plan. Which products actually make money and which quietly lose it?
Differentiators The product vs alternatives: features, quality, value proposition, mix between products. Is the mix shifting toward lower-margin items?
  • Use it as the opening scan when the prompt is broad ("profits fell — why?"): walk the four buckets to locate the problem, then switch to the profit tree / funnel for depth. It complements MECE trees, not replaces them.
  • Order is flexible — for a profitability RCA start with Company → financials (localize the drop), keep Competition/Market as the external check, Customer + Product to explain why the number moved.

Three ways to build a framework (Matt, ex-BCG — "improve your case frameworks by 240%")

TypeHow it worksExampleMECE?
1 · Equation Buckets are the terms of a formula — everything that moves the metric lives in exactly one term. Profit = Revenue (price × quantity) − Costs (fixed + variable). Your trading version: GP = volume × take rate − direct costs. MECE by construction — the safest choice for profitability RCA.
2 · Process Buckets are the stages of a journey, start to finish — nothing happens outside the timeline. Raw materials → transport → manufacturing → distribution → sale. Your version: visit → sign-up → first trade → repeat (the funnel). MECE when it covers start→finish — best for funnel/KPI and ops cases.
3 · Bucket (CPCC) Category buckets: Customer · Product · Company · Competition (the 4-bucket table above). Not derived from a formula. Broad "what's going on" prompts, growth cases, strategy questions. Not strictly MECE — and that's fine: works for ~90% of for-profit cases if the sub-bullets are specific.

Rules that matter

  • 2–4 buckets max (ideally 3) — you have ~90 seconds; more than four = unfinished or rambling.
  • MECE is a guiding principle, not a hard rule. Don't discard a good structure because it's "only 95% MECE".
  • Generic buckets, specific bullets. Buckets can be textbook (Revenue/Costs); the sub-bullets must be contextual: not "look at price" but "how has our take rate moved vs competitors since the pricing change?" Interviewers case people daily and instantly spot recycled canned frameworks — specificity + your own industry knowledge is the differentiator.
  • There's no right framework — only better and worse ones (essay, not multiple-choice).

Delivery script + daily drill

  • Delivery: "I've had some time to think about the key considerations. Broadly there are three buckets I'd want to look into: first…, second…, third…. In the first, I'd be most interested in X, Y, Z…" — concise, numbered, no rambling.
  • Case starts (10–15 min daily): open a random case prompt from the ladder above → 1–2 timed minutes to build a structure → deliver it aloud → stop, don't solve. Fastest way to train framework-under-pressure.
  • Record yourself delivering — the cringe is the feedback. Then get content feedback (peer, coach, or Claude).

Timing template (Yale, scaled to 35–40 min)

  • ~6–7 min opening: clarify goal/KPI/units + ask for 1 minute → build & present the structure.
  • ~25 min body: data on request → interpret → next branch. You drive.
  • ~5–6 min closing: synthesis, delivered by you — don't wait to be asked.

Closing formula: RRRN (Yale p.6)

  • Recommendation → Reasons → Risks → Next steps, in that order.
  • Model closings: Yale case summary pages (pp. 78, 118, 123, 151).
  • Risks must be concrete, not generic — Tuck p.20 has ready risk checklists per case type.

Core trees to know cold

  • Profit tree (MECE): Profit → Revenue (# units × price) | Costs (# units × cost/unit → fixed | variable). "Most important feature is MECE" (Yale p.5).
  • Equation-first habit (Yale p.181): for open-ended problems chain equations — π = (Rᵢ−Cᵢ)·V − C_fixed; V = demand × area × penetration — instead of a memorized tree. Transfers directly to funnel cases.
  • Decompose revenue as price × units early (Tacotle pattern) — separates market vs mix vs pricing causes.

Self-grading after every case

  • Kellogg scorecard (pp.20–21), 4 blocks: 1) driving the case (definition, tree, prioritization, hypothesis, 80/20); 2) communication (insights first); 3) polish (quant accuracy); 4) business sense ("so what", reality-checks, risks/next steps).
  • Tuck "Behind the Framework" boxes: grade your opening vs Must-haves / Nice-to-haves / Differentiators.
  • Log every self-grade — weakest block becomes tomorrow's focus.

Practice protocol (Yale p.2 + Kellogg p.17)

  • Go in blind — never pre-read the case.
  • Interviewer gives information only on request; no volunteering, no nudges.
  • Yale cases are interviewer-led → partner withholds the numbered questions; you must generate the next question yourself.
  • Kellogg curriculum arc for the last week: hard cases mid-week → "confidence boosters" (easy, custom-structure) in the final 2 days. Never end on a brutal case.

Numbers to keep in your head

  • Contribution = revenue − variable costs; EBITDA ≈ operating profit before D&A (Tuck p.18).
  • CAGR shortcut: 15% × 3 yrs ≈ 1.5× (compounding beats 1.45).
  • Estimation anchors: US pop ~320M, ~4M per age-year; world ~8B (Tuck p.19).
  • Always compute ratios across years, not absolutes (variable cost / revenue: 75% → 80% — the Prepmatter move), and say what the number means.

The Playbook — how to run the case, move by move

Built from first-person candidate accounts (Exponent, 2024–2026), 3 worked casebook solutions, and coach doctrine — all adversarially verified.
The actual case script leaked. Four independent first-person accounts (Aug 2024 – Jun 2026, tagged "asked at Revolut 8 times") agree: in the trading gross-profit case revenue is a decoy — it GREW ~5–10%. The problem is on the cost side: a two-tier broker fee (<100 shares → 0.05% of volume; ≥100 shares → 5¢/share) + user mix shifting to large trades (+900% vs +10%) = variable-cost explosion. ⚠️ Recruiter (prep call): the case is randomized from a pool of ~5–6, refreshed every ~6 months — trading is one lucky draw; it can be subscriptions, activation, travel, any fintech metric. Train the moves, not the answer.

Prep-call intel (recruiter) — format facts from the source

  • Pen and paper only. No screen sharing, no slides. All data comes verbally on request — write numbers down as you get them.
  • Calculator — fine to keep around; math is margins/percentages level.
  • The interviewer has ALL the data. If he has no answer to your question — you're looking in the wrong place. Use "no data" as a steering signal.
  • Unfamiliar fintech term/line? Just ask — domain knowledge not required.
  • Timing: 45-min slot, ~2 min intro; finishing in 30–35 min is good. Root cause: 15–20 min max — solutions get the bigger half.
  • Don't be too high level — detail in both RCA and solutions.
  • Solutions: implementation, pros/cons, trade-offs, short- AND long-term impact. Direct hint: "don't just patch it — they assess long-term thinking".
  • Close with: "based on the root cause I found, these are my solutions — and this is the one I'm going with."
Round 2 = wireframe build/review (UX-focused) · Round 3 = Bar Raiser with a senior leader · Round 4 = team fit.

The 9 moves (timed for 35–40 min)

#MinMoveSay (your lines)
10–1Restate & lock the metric. Define the metric, timeframe, units, target."So gross profit — revenue minus direct costs — dropped significantly last month. Two clarifications: are we talking absolute GP or margin? And is the goal to restore it to the previous level, or a specific target?"
21–3Clarify with hypotheses. 3–4 questions max: business model, drivers, constraints. Every question carries a reason."How does this product make money — commission per trade, spread, subscriptions? …And on the cost side, what are the main direct costs — broker fees, market data, processing?"
33–5One minute → equation structure + segment lenses. Announce the tree AND where you suspect the problem."May I take a minute to structure? …GP = revenue (trades × avg value × take rate) minus direct variable costs (broker fees, processing, data) minus direct fixed. I'll check which side moved first — and given the sudden one-month drop with no product changes, I suspect a cost or mix shock rather than churn. I'll also want cuts by trade size and user type."
45–8Triage the top level in ONE move per branch. Kill the decoy out loud, explain the deprioritization."First split: what did revenue do over the month? …It grew 5%? Then revenue is healthy — the problem must be costs growing faster. I'm consciously deprioritizing the revenue branch and going into costs: fixed or variable?"
58–15Drill with hypothesis-led requests. Cycle: hypothesis → data request → interpret aloud → next. If refused data — deduce."Variable costs up 10% MoM while volume grew 5% — cost per trade is rising, so it's a rate or mix issue, not scale. How is the broker fee structured — flat, tiered, per share? …If you can't share that, let me estimate: at 5¢ a share, a 150-share $1,500 trade costs $7.50 vs $0.75 for the same value under the percentage tier — a 10× unit-cost step."
615–18Name the root cause as a mechanism, not a symptom, and size it."Root cause: our fee schedule has a step function at 100 shares, and the trade mix shifted heavily to large trades — +900% vs +10%. Unit cost jumps 10× above the step while our pricing doesn't pass it through. That mechanically compresses gross profit even as revenue grows."
718–20Bridge to Part B with a recap. Announce the solution structure."To recap the diagnosis in one line: cost-side mix shock via the per-share fee tier. Let me propose 2–3 targeted fixes across pricing, the broker contract, and product — each with sizing, trade-offs and a KPI."
820–302–3 solutions tied to the mechanism. Each: what → sizing → trade-offs (PnL·UX·tech) → owner/timeline → monitoring KPI. Prioritize short/mid/long."Short-term: reprice large trades — pass the per-share cost through (or cap free large orders in the plan tiers); rough sizing: if large trades are X% of volume… Mid-term: renegotiate the broker schedule or route orders to a volume-priced venue. Product-side: smart order handling — split/batch large orders below the step where compliant. I'd track GP per trade by tier weekly as the guardrail metric."
930–35Unprompted synthesis close. 5 steps: Context → Findings → Recommendation → Risks → Next steps (~60–90 sec; see the card below)."Let me summarize. We looked at why gross profit fell… What we found is… So I recommend… The main risks are…, which I'd mitigate by… As next steps I would…"

The synthesis — the closing 90 seconds (5 steps)

StepWhat it isOn the trading case (one line each)
1 · ContextRemind what problem we set out to solve — one sentence, reframes the whole conversation."We looked at why the stock trading product's gross profit dropped sharply last month."
2 · FindingsThe diagnosis: what the data showed, as a mechanism — the "why" chain, not a data dump."Revenue is healthy and growing 5%; the drop is entirely cost-side — the 100-share fee step combined with a 9× surge in large trades pushed unit costs ~10× up."
3 · RecommendationThe decision, stated firmly — what to do, in priority order."Reprice large trades now, renegotiate or re-route broker execution next, and add tiered GP monitoring."
4 · RisksConcrete risks of your recommendation + mitigation. Never generic."Blunt repricing risks churning our most active traders — I'd bundle via plans and A/B the elasticity first; order-splitting needs a best-execution check."
5 · Next stepsWhat happens Monday morning — actions, owners, the first metric to watch."Quantify the GP bridge by tier, launch the pricing experiment, open the broker conversation, ship the GP-per-trade dashboard."
  • This is the fuller form of RRRN (Yale p.6): Context + Findings up front turn "Reasons" into a story — use the 5-step version when you have the floor for a proper close, RRRN when time is tight.
  • Deliver it unprompted and conclusion-first — don't wait for "can you wrap up?". If the interviewer asks first, you're late.

Anti-moves — the documented fails

  • Symmetric tree, equal depth everywhere — "signals a lack of judgement". Prioritize from evidence and say why.
  • Stopping at the symptom ("cost per trade rose") — keep asking why until the cause is actionable (fee step × mix shift).
  • A number without an interpretation is not an insight — every calculation ends with "which means… so I'll…".
  • Ideas without execution — no list survives without sizing, owner, timeline, KPI.
  • Rambling / jumping to tactics — "filtered out quickly". 80% structure before speaking; silence while thinking is fine.

Check-in phrases — hand the mic back without losing the lead

  • Matt (ex-BCG) calls rambling the classic nervous mistake: talking endlessly denies the interviewer the chance to redirect you before you burn 10 minutes down the wrong branch. So pause after the structure and after a major analysis.
  • Revolut twist: phrase it as confirmation, not permission — they score independence.
  • After the framework: "That's my structure. I'll start with costs — the drop was sudden, so costs are the most likely place. Does that sound reasonable?"
  • Softer variants: "Anything you'd add before I start?" · "Happy to adjust if you see it differently — otherwise I'll begin with costs."
  • Mid-case, declare instead of asking: "I'll look at broker fees first — the data points there." Never "Should I…?"
  • No data for your question? That's navigation: "No data there — then the problem is probably elsewhere. Next branch."

Ownership language (the Revolut lens)

  • "I'll start with…", "I'm deprioritizing X because…", "My hypothesis is…" — declare, don't request permission.
  • Data refused? "Then let me estimate from what we have…" — deduce, don't stall (verified interviewer behavior).
  • Transitions are yours: recap → announce the next phase. Never wait to be moved along.
  • Think like the owner of this P&L, not an advisor: "I would ship X this quarter and measure Y."
Model run — full transcript of the real trading caseread after you've tried the case solo · uses the verified script numbers
I = interviewer · A = candidate. Data follows the leaked script: revenue +5% MoM, variable costs 0/2/10% MoM, fee tiers 0.05% / 5¢, mix +10% vs +900%.

I: You're the PM for our stock trading product. Gross profit has dropped significantly over the last month. What would you do?

A: Let me play that back: gross profit — revenue minus direct costs — fell significantly within one month. Before I structure: is that absolute gross profit rather than margin? And is the goal to diagnose and restore it, or is there a target attached?

I: Absolute gross profit. Diagnose it and tell me what you'd do.

A: Two quick context questions. First, how does the product monetize — per-trade commission, spread, subscription, or a mix?

I: Assume a commission on each trade, a percentage of trade value.

A: And the main direct costs — I'd expect broker/execution fees, market data, payment processing. Is that the right picture?

I: Broadly yes. The biggest line is what we pay our executing broker.

A: Great. May I take a minute to structure? (structures) Since GP = revenue − direct costs, I'll first establish which side moved. Revenue = number of trades × average trade value × commission rate. Costs = variable per trade — mainly broker fees — plus direct fixed. A one-month sharp move with no mention of product changes makes me suspect a cost- or mix-side shock more than demand; I'll still check revenue first, in one question: what did revenue do over the month?

I: Revenue grew about 5%, same as the month before.

A: So revenue is healthy and growing — for GP to fall, costs must have grown materially faster. I'm deprioritizing the revenue branch. On costs: how did fixed and variable behave?

I: Fixed costs are flat. Variable costs grew 0%, then 2%, then 10% in the last three months.

A: Variable +10% against volume +5% — that means cost per trade is rising, so it's not pure scale; it's a rate or a mix problem inside variable costs. You said broker fees are the biggest line — how is the broker fee structured? Flat per trade, percentage, per share?

I: There's a schedule: trades under 100 shares cost us 0.05% of the dollar volume; trades of 100 shares or more cost 5 cents per share.

A: Interesting — that's a step function. Let me test what it does to unit cost. Take a $1,500 trade: under 100 shares it costs 0.05% ≈ $0.75. The same $1,500 as 150 shares at $10 costs 150 × 5¢ = $7.50. Ten times the unit cost for the same trade value. So if the trade mix shifted toward 100+-share trades, variable cost would explode while revenue — a % of value — wouldn't move. Do we have volume by trade size?

I: Small trades grew about 10% over the period. Large trades grew about 900%.

A: That's the root cause then, and it's mechanical: the mix shifted massively into the per-share tier, where unit economics are ~10× worse, and our commission — priced as % of value — doesn't pass that cost through. Gross profit compresses even as revenue grows. Quick sanity check on the "why now": did anything drive large-trade adoption — a feature, a campaign, market conditions?

I: Assume a viral trend — a few high-priced stocks got very popular with active traders. Why don't you move to what you'd do about it.

A: To recap the diagnosis in one line: a cost-side mix shock — the 100-share fee step multiplied by a 9× surge in large trades. I'll propose three fixes across pricing, the broker contract, and product, each with sizing, trade-offs and a KPI. First, short term — reprice the affected segment: introduce a per-share or tiered commission above the step, or include only N free large trades in Standard and shift heavy traders to a paid plan. If large trades are now, say, a third of volume at 10× unit cost, passing even half of that through restores most of the GP gap; I'd A/B it on new users first to measure churn elasticity. Trade-off: UX friction for our most active traders — mitigate with plan bundling rather than raw fees. Second, mid term — attack the cost itself: renegotiate the broker schedule with our new volume as leverage, or dual-route large orders to a venue priced on value; also smart order handling — where compliant, splitting a 150-share order into two sub-100 executions moves it back to the 0.05% tier. That needs a compliance/best-execution check — I'd flag it to legal before shipping. Third, monitoring: GP per trade by size tier as a weekly guardrail metric with an alert, so a mix shift never again reaches the P&L unseen. Owner: my squad; repricing ships within a sprint behind a flag; broker renegotiation is a quarter-long track.

I: Good. Can you wrap up?

A: Recommendation: fix the large-trade unit economics — reprice above the fee step now, renegotiate or re-route execution next, and add tiered GP monitoring. Reasons: revenue is growing and healthy; the entire GP decline is a variable-cost explosion from the 100-share fee step interacting with a 900% surge in large trades — unit cost is ~10× above the step while pricing doesn't reflect it. Risks: churn among high-value active traders if repricing is blunt — mitigate via plans and A/B elasticity testing — and broker-relationship terms limiting order splitting. Next steps: quantify the exact mix and GP bridge, run the pricing experiment, open the broker conversation, ship the monitoring dashboard. That closes the case for me — happy to go deeper on any branch.

Note the moves: restate → hypothesis-carrying clarifications → announced structure with a stated suspicion → one-question revenue triage with explicit deprioritization → per-unit math out loud → mechanism naming → recap bridge → 3 solutions with sizing, trade-offs, owner, KPI → unprompted RRRN. The interviewer only supplied data and nudged once.

What is NOT verified (don't over-trust)

  • The 25–30% pass rate exists only in the recruiter's email (primary, but uncorroborated anywhere else).
  • No candidate account describes an announced "Part A / Part B" split — drive your own transitions.
  • The "all your solutions are rejected — give me something extraordinary" stress test: no Revolut account mentions it (it's from the Prepmatter cement case). Don't fear it; do keep one bold idea in reserve.
  • ✅ Resolved (recruiter): data is delivered verbally only — no slides. Practice taking numbers by ear, pen ready.
  • ✅ Resolved (recruiter): the case is randomized from a pool of ~5–6 — if the prompt turns out funnel-, growth- or subscription-framed, the same 9 moves apply; only the tree changes.