Academic snapshot
Marks: Top academic bar (often 8+ / IIT-NIT bias on campus lists)
Degree: Full-time relevant degree per JD
Backlogs: None active preferred
Year: Final-year and recent grads
Mckinsey Placement Papers 2026
McKinsey & Company is a global management consultancy founded in 1926, known for extremely selective analyst hiring. In India, McKinsey recruits from top campuses for roles across strategy, operations, and digital transformation. India offices sit in Mumbai, Gurugram, Bengaluru, and Chennai.
Explore: Online Assessment · Download PDF · Placement Process · Interview Experience · Preparation Guide · Certifications & Career
Who can apply to Mckinsey in 2026?
Who this hub is for
- For: Students targeting Business Analyst / consulting roles at McKinsey & Company India - case-interview hiring into strategy consulting.
- Not the same track: Pure software-engineer loops at other companies, or McKinsey tech/digital affiliates that may add coding or analytics depth. If your JD says digital/tech, adjust toward that skill set.
- Experienced hires: Lateral consulting loops differ in case depth and experience bar. Use fresher sections as a base.
On-campus vs off-campus
| Route | What usually changes | What stays the same |
|---|---|---|
| Campus (target schools) | Batch PPT, campus JD academic filters | Solve + case + PEI bar |
| Careers portal / referral | Resume screen volume; networking matters more | Still expect Solve + cases |
| Internship → full-time | Conversion may shorten stages | You still defend cases and PEI stories |
Off-campus does not mean “easier cases.” It often means heavier resume competition before you ever open Solve. If your CGPA sits below your campus’s printed bar, spend energy on casing and networking, not on hunting a mythical lower cutoff blog post.
Degree, academics, and “is my CGPA enough?”
Top academic bar is the honest phrase candidates use. McKinsey does not always publish one universal India CGPA number. Many campus lists behave like high floors (students often cite 8+ with IIT/NIT bias on target lists); strong Solve and case performance still decide advancement after screening.
Degrees: Full-time engineering, commerce, economics, and related degrees appear in India recruiting. Read your drive notice for branch/degree filters.
Gaps and backlogs: Active backlogs are a usual blocker. A short gap needs a clean skills story. Integrity issues in PEI end loops fast.
What helps the resume screen: Leadership roles with metrics, internships with ownership language, competitions or research with outcomes, and clear bullets - not buzzword salad. Certificates are secondary. See certifications after case fundamentals are solid.
Skills & focus
Primary: Case interviews
Secondary: PEI STAR stories
First filter: McKinsey Solve / PST variants
Differentiator: Structured problem-solving + clear communication
Detailed eligibility criteria breakdown
| Item | Typical expectation (candidate-reported) | Reality check |
|---|---|---|
| CGPA / % | Top academic bar / high campus floor (often 8+) | No single public India number - verify JD |
| Degree | Full-time relevant degree | Engineering + non-engineering both appear |
| Year | Final year + recent grads | Internship conversion paths exist |
| Backlogs | No active backlogs preferred | Clear before paperwork |
| Skills gate | Solve + cases + PEI stories | Coding is not the BA default |
Mckinsey CGPA - how to read “top academic bar”
When a campus JD prints a number, treat it as a shortlisting filter. Once you are in the funnel, Solve performance, case structures, math accuracy, and PEI stories decide advancement. A 0.2 CGPA difference rarely saves a weak case.
| Signal | What it usually means | What to do |
|---|---|---|
| Printed high CGPA on campus JD | Hard filter for that drive | Confirm with placement cell |
| No printed number (off-campus) | Resume + Solve decide | Strengthen leadership bullets |
| Borderline academics | Need stronger Solve/cases/PEI | Extra peer casing hours |
| Below 8 on many target lists | Often filtered before Solve | Focus on drives where you qualify |
Selection feel by academic band
| Band | Rough feel | Reality check |
|---|---|---|
| Below printed floor | Low on-campus | May still compete off-campus with exceptional profile |
| At printed floor | Eligible; Solve decides | Cases + PEI must be strong |
| Comfortably above | Stronger resume-screen odds | Still not an offer by itself |
| Top of class + leadership metrics | Best practical combination | Offer still requires Solve + cases |
Mckinsey previous year paper PDFs
Download 2026 Mckinsey placement papers
2026 in detail
2025 placement papers
2024 placement papers
Previous year question papers
Comments & Suggestions
What McKinsey previous year papers actually train
McKinsey does not publish one permanent official “coding paper.” “Previous year papers” on this site are pattern trainers for Solve/PST-style filters, case structure practice, and PEI prep - not leaked live cases or live Solve keys.
| Round (typical) | What to practice |
|---|---|
| McKinsey Solve / PST variants | Timed problem-solving, game mechanics, numerical stamina |
| Case interviews | Structuring, math, synthesis, recommendation clarity |
| Personal Experience Interview | STAR ownership, leadership, personal impact, collaboration |
| Final / HR | Why McKinsey?, location, travel willingness, logistics |
Themes that keep repeating (2024-2026)
- 2024 cycles: McKinsey Solve remained the dominant first filter in public recruiting notes. Profitability and market-entry cases dominate practice. Students who only read frameworks without casing aloud froze on math. PEI stories without metrics failed soft screens.
- 2025 loops: Write-ups still describe Solve → cases → PEI sequencing. Interviewers pushed exhibit math units harder. Growth and pricing cases keep returning. “Why McKinsey?” answers that could fit any logo got challenged.
- 2026 prep expectation: Keep Solve game familiarity, case math, and 6-8 PEI STAR stories warm. Expect interviewer-led cases with exhibit math. Treat PDF packs as pattern catalogs for structures and Solve-adjacent drills - not scripts of tomorrow’s live case.
How to use one paper set in a single sitting
- Timed: run a 30-45 minute Solve/aptitude-style block if your invite includes one.
- Case aloud: 25-30 minutes with a peer or timer - clarify, structure, quantify, recommend.
- Untimed review: rewrite a cleaner structure; list three math mistakes.
- Map the case type (profit / entry / pricing / growth) and pull a cousin drill.
- Log one PEI story the case reminded you of (led a team, fixed a process, missed a goal).
Related problems to practice
| Theme you saw in a set | What to drill next | Why McKinsey asks it |
|---|---|---|
| Profitability drop | Revenue vs cost tree + 2 drivers deep | Core case muscle |
| Market entry | Market size → competition → capabilities → risks | Classic strategy prompt |
| Pricing | Value vs cost-plus vs competitive | Client recommendation clarity |
| Growth | Organic vs inorganic levers | Structured optionality |
| Exhibit math | % change, CAGR intuition, weighted averages | Speed under pressure |
| PEI leadership | STAR with conflict + metric | Personal Experience Interview |
2025 PDFs often drill “profit decline for a retailer.” Own the profit tree - revenue (price × volume) and cost (fixed vs variable) - then drill a related problem in another industry. That transfers; memorising the story text does not.
Mckinsey hiring rounds in 2026
McKinsey hires freshers through campus placement cells (often target schools), the careers portal, referrals, and internship conversion. After resume screen, the shape is consulting-style: McKinsey Solve, cases, Personal Experience Interview, then HR.
Application methods
Campus recruitment
Through college placement cells - PPT, then Solve and interview days.
Online applications
Apply on mckinsey.com careers for early-career / Business Analyst-style roles; follow the invite for Solve format.
Referrals
Employee referrals improve visibility. You still need to clear Solve and cases.
1. Resume / eligibility screen
Placement cell or recruiter checks academics against the drive bar, degree, backlogs, and year of passing. Leadership bullets and internship impact help when volumes are high. This is a gate - Solve and cases are the real filter.
Resume bullets that travel well into PEI:
- Led X people / workstream to deliver Y by date Z
- Improved a metric from A → B (include %)
- Owned a decision with a clear trade-off
Vague bullets like “worked on a team project” force you to invent stories under pressure.
2. Mckinsey solve
McKinsey Solve is the modern digital assessment that replaced the classic Problem Solving Test on many paths. Candidate reports describe game-based ecosystems (often called plant / ecosystem and redrock-style games) that reward calm, structured decisions under time.
| Component (typical) | What it checks | Prep move |
|---|---|---|
| Solve games | Problem-solving under time | Practice mechanics; stay calm |
| Numerical comfort | Quick % and ratio work | Daily mental math |
| Older PST-style (legacy notes) | Reading + quantitative reasoning | Timed reading + calculation |
Pass bar in practice: Finish cleanly without panic clicks. Students who treat Solve as “just a game” and ignore tutorial rules lose easy points.
Student tip: Read every on-screen instruction twice in practice. Speed without accuracy is a silent fail mode.
Deeper notes: McKinsey Online Assessment.
3. Case interview rounds (~30-60 min each)
Often multiple cases across interview days. Structure:
- Clarify the objective and constraints
- Propose a MECE structure
- Prioritise 1-2 branches with a hypothesis
- Do exhibit math out loud
- Synthesise a recommendation with risks and next steps
Student tip: Speak in headlines. “I’d look at revenue and cost; on revenue I’d start with volume because…” beats dumping a memorised 12-box framework.
Worked mini-outline - profitability drop:
- Objective: Restore profit in 12 months.
- Structure: Profit = revenue − cost; revenue = price × volume; cost = fixed + variable.
- Hypothesis: Volume decline in core segment.
- Math: Show % change cleanly; state units.
- Rec: 2-3 actions, risks, what data you’d want next.
Worked mini-outline - market entry:
- Objective: Enter market X in Y years; decide go / no-go.
- Structure: Attractiveness (size, growth, margins) → competition → company fit → risks / economics.
- Hypothesis: Attractive if we can differentiate on Z capability.
- Math: Rough market size × share × margin before diving into ops detail.
- Rec: Go / no-go with conditions (partnership vs build, pilot city, capital ask).
4. Personal experience interview (~30-45 min)
Behavioural deep dive on resume stories: leadership without authority, personal impact, entrepreneurial drive, inclusive collaboration. Use STAR with numbers. McKinsey PEI is not a soft HR chat - empty leadership claims fail.
Expect follow-ups like “What would you do differently?” and “Who disagreed with you?” Have a second layer ready.
5. Final / HR - logistics and fit
Why McKinsey (problem-solving culture, not “MBB brand”), location among Mumbai / Bengaluru / Gurugram / Chennai, travel comfort, joining vs exams. Know the ₹20-35 LPA fresher band so CTC talk is grounded.
| # | Round | Duration | What they check |
|---|---|---|---|
| 1 | McKinsey Solve / PST | Timed | Problem-solving under pressure |
| 2 | Case interviews | 30-60 min each | Structure, math, synthesis |
| 3 | PEI | 30-45 min | Leadership & impact stories |
| 4 | HR / offer | 20-40 min | Fit, location, logistics |
Timeline from application to offer
| Phase | Typical duration | Notes |
|---|---|---|
| Apply / campus register | Drive-dependent | PPT then Solve window |
| Solve → interview invite | Days to weeks | Batch logistics vary |
| Case + PEI loop | Often clustered interview days | Multiple conversations |
| Offer / paperwork | After finals | Written offer wins |
| End to end | Often 2-6 weeks | Off-campus can stretch |
Case pattern cheat-sheet
| Case type | Focus | Prep move this week |
|---|---|---|
| Profitability | Revenue vs cost trees | One peer case + math drill |
| Market entry | Size, competition, fit, risks | One written structure |
| Pricing | Value / competitive / cost | Exhibit % practice |
| Growth | Organic vs inorganic | Headline recommendation practice |
| PEI | STAR with metrics | Two stories spoken aloud |
How Mckinsey differs from a coding campus drive
If your friends are preparing for product companies, do not copy their calendar blindly:
- Cases replace LeetCode as the main interview skill for Business Analyst tracks.
- McKinsey Solve is a real reject stage - treat game mechanics seriously.
- PEI digs into resume impact with numbers; empty leadership claims fail.
- “Why McKinsey?” needs a problem-solving angle, not “MBB brand.”
- Locations span Mumbai, Bengaluru, Gurugram, Chennai with travel on staffing - have an honest answer.
Tech affiliate or digital JDs can reintroduce coding - read the notification before you abandon DSA entirely.
Interview-day checklist
- Calculator policy: usually none - mental math only; practice without a phone.
- Clarifying questions: ask 2-3 before structuring; do not stall forever.
- Exhibits: read units first (₹ Cr vs ₹ Lakh; monthly vs annual).
- Recommendation: end with 2 actions + 1 risk + 1 next data need.
- PEI: pick stories you can defend if the interviewer challenges a number.
Preparation resources for Mckinsey
Online assessment
OA format, timing, and question types.
Coding questions
DSA patterns for OA and technical rounds.
Aptitude / mock quiz
Quant, logic, and timed mock quiz.
Interview experiences
Candidate stories and round notes.
HR interview questions
Common HR questions, sample answers, STAR tips.
Week-by-week prep
Study plan and round-by-round strategy.
What to practise before a McKinsey drive
If a McKinsey invite is 3-8 weeks out, treat this hub as the map and the linked practice pages as the drills. Do not reread eligibility ten times. Check the JD once, then spend hours on the filter that actually rejects people.
Typical fresher CTC chatter for McKinsey sits around ₹20-35 LPA (candidate-reported - confirm the letter). Languages students mention most often: C, Go. Pick one and stay with it in OA and interviews.
Eligibility reminder (from student reports): McKinsey eligibility for freshers 2026 is candidate-reported and drive-specific. Business Analyst / consulting tracks usually expect a top academic bar (often 8+ CGPA with IIT-NIT bias on many campus lists), a relevant full-time degree, and no active backlogs. Case skill, McKinsey Solve performance, and PEI stories matter more than a marginal CGPA difference once you clear screening. Always verify the official career.
What you are training for: McKinsey fresher consulting loops commonly run: Application / resume screen → McKinsey Solve (or PST-style variants on older cycles) → Case interview rounds → Personal Experience Interview (PEI) → HR / offer. Campus and off-campus timelines vary; many candidates report multi-week processes.
Short version of the prep split: Treat McKinsey like MBB consulting hiring, not a coding company. Split time roughly: 35% McKinsey Solve practice, 40% case drills, 15% PEI STAR stories, 10% fit and industry awareness. Peer casing beats solo reading.
A four-week plan that actually gets used
Week 1 - pattern, not vibes. Oa pattern first: sit one untimed paper, then redo it under the real clock. Open the McKinsey previous-year sets on this site and mark which sections ate your time. Write the timing on a sticky note. That number is more useful than a 200-problem LeetCode streak you never timed.
Week 2 - the steep filter. Most McKinsey drives fail people on the first timed paper or OA. Do three timed sits this week. After each one, log every miss in a two-column note: topic and why (slow, wrong formula, bad edge case, panic). The next sit should only add problems from that log.
Week 3 - talk tracks. Technical interviews at McKinsey usually want a clean project story, one or two CS fundamentals, and (if the process has it) a behavioral or values round. Write STAR stories on paper, not in your head. Practise “Why McKinsey?” with one concrete product, lab, or business line - not a slogan.
Week 4 - mocks and logistics. Star stories + one project walkthrough recorded on your phone. If you still have energy, redo only the questions you failed in week 2.
Where the hours should go
| Slice | Share of weekly hours | What “done” looks like |
|---|---|---|
| Timed papers / OA | ~40% | You finish a McKinsey-style sit without guessing the clock |
| Coding / role technical | ~30% | You can explain a solution out loud in your chosen language |
| Fundamentals / domain | ~20% | You can teach one OS/DBMS/networks (or domain) topic to a friend |
| Stories + HR | ~10% | Two STAR stories and a specific Why-this-company answer |
If you only have 10 days, keep the same ratios and cut volume, not the timed sits.
Practice pages to open this week
- OA / assessment notes
- aptitude mock quiz
- coding question bank
- interview experiences
- HR question bank
- week-by-week guide
- previous year papers
- 2026 paper page
Use this hub for the McKinsey story (eligibility, rounds, salary). Use those pages for timed reps and interview notes.
Common ways students waste a month
- Collecting 12 McKinsey PDFs and never sitting one under a timer.
- Switching languages every weekend because a senior used a different one.
- Memorising HR answers before they can finish the OA.
- Ignoring the company-specific quirk on this page (unique round, exam name, or role band) and preparing like a generic service-company drive.
If you do one thing after reading this: schedule three timed McKinsey papers on three different days, then interview prep on the leftovers.
If you are starting from a service-company prep base
A TCS/Infosys aptitude deck still helps the quant/logic slice of many McKinsey papers, but do not assume the same cutoff culture. Read the process section on this page once, then swap in McKinsey-specific coding or domain drills from the nested banks. Shared prep is fine; shared assumptions about rounds are not.
10-day crash version
Days 1-3: one timed McKinsey paper each day plus error log. Days 4-6: only the topics you missed, plus 4-6 coding problems in one language. Days 7-8: project + STAR + Why McKinsey. Day 9: one more full mock. Day 10: light review and sleep. This is worse than four weeks, but it beats rereading notes the night before.
What to carry into the interview room
Know your project at the level of what broke and what you changed, not only the tech list on the resume. For McKinsey, interviewers often poke the same hole the OA already tested - be ready to re-solve a warm question on a shared editor or whiteboard. If you used AI to draft code while practising, you still need to type it yourself on the day.
Tracking that does not become a second job
A single note with date, paper name, score/time, and three misses is enough. If you cannot name your last three McKinsey mistakes, you are collecting content, not preparing.
Extra drill block (1)
Sit one more mixed McKinsey set this week: 20 minutes aptitude or MCQ if the drive has it, then one coding problem you have not seen since last month. Explain the solution out loud in 90 seconds. If you cannot, the interview will feel the same way. Then stop - more volume after that usually turns into tired guessing.
Mckinsey fresher CTC in India (2026)
Figures below are candidate-reported India bands (as of August 2026). Actual offers depend on role (Business Analyst vs other early-career tracks), location (Mumbai, Bengaluru, Gurugram, Chennai), hiring year, and written components.
Fresher bands students ask about
| Band | Typical CTC (candidate-reported) | Notes |
|---|---|---|
| Fresher consulting / BA-style | ₹20-35 LPA | Primary band for this hub |
| Tech / digital affiliates | May differ | Follow that JD’s offer letter |
| Lateral / experienced | Higher bands | Outside fresher default |
Confirm base, bonus, and benefits on the written offer. Do not treat blog midpoints as guarantees.
Benefits students actually care about
Policies vary by office and year. Candidates commonly care about:
- Health insurance and wellness support
- Learning / coaching culture
- Travel norms on staffing
- Relocation support when moving cities - ask HR, do not assume
Office culture stories differ by city - ask your interviewer what staffing looks like for first-year BAs rather than guessing from LinkedIn posts.
How to talk CTC in HR without sounding lost
Know the ₹20-35 LPA fresher context, ask how the package splits (fixed vs variable), and clarify joining date vs final exams. One calm clarifying question beats aggressive negotiation with no market anchor. If bonus language is unclear, ask for the written breakup rather than debating midpoints from Telegram groups.
What’s changed in Mckinsey hiring lately
- McKinsey Solve remains the distinctive first filter in public India recruiting descriptions (PST is mainly legacy language now).
- Case + PEI still decide offers - Solve is a filter, not the whole process.
- Personal impact and inclusive collaboration language shows up in PEI more than generic “leadership” slogans.
- Treat ₹20-35 LPA as a reported fresher band, not a promise for every role or college.
- Location conversations often include Mumbai, Bengaluru, Gurugram, and Chennai - have a preference and a backup.
- Compared with product-company hubs on this site, McKinsey prep time should skew to Solve + casing, not DSA - unless your JD says otherwise.
What “personal impact” means in pei practice
When McKinsey interviewers push on PEI, they want:
- A baseline metric before your action
- The action you owned (not “the team did”)
- The after metric and time window
- One trade-off you accepted
“I improved the process” without numbers is a soft reject signal even if your case was fine.
Networking note
Referrals and coffee chats help resume visibility; they do not replace casing. If someone offers a referral, still prepare as if the Solve and case bars are unchanged - because they are.
FAQs students ask about Mckinsey placements
Process & papers
What is the McKinsey placement process for freshers?
Typical consulting path: Application screen → McKinsey Solve (or PST-style variants) → Case interviews → Personal Experience Interview (PEI) → HR/offer. Confirm round names on your invite.
How many interview rounds does McKinsey usually have?
Most fresher BA-style loops report about four major stages (Solve → case → PEI → HR), with multiple case conversations inside the case stage. Count the mailer, not a random blog.
Can I download McKinsey placement papers PDF for free?
Yes. Free McKinsey placement papers PDF and 2024-2026 style practice sets are on this site - pattern trainers for Solve and case prep, not leaked live cases. Start with the 2026 PDF or the paper archive.
What does McKinsey Solve look like?
Candidate-reported formats are timed digital games (ecosystem / plant and redrock-style) that test problem-solving under time. Exact games vary by year - verify your invite. Practice mechanics, stay calm, and keep numerical comfort warm.
Eligibility & offer
What eligibility / CGPA do fresher McKinsey drives usually expect?
Commonly reported: a top academic bar on campus lists (often 8+ with IIT-NIT bias), relevant full-time degree, no active backlogs preferred. McKinsey does not publish one universal cutoff - your drive notice overrides this page.
What is McKinsey fresher salary in India?
Candidate-reported fresher CTC often lands around ₹20-35 LPA (as of August 2026), varying by role and location (Mumbai, Bengaluru, Gurugram, Chennai). The written offer letter is the only number that matters.
Do I have to relocate?
Common India hubs: Mumbai, Bengaluru, Gurugram, Chennai. Staffing can involve travel. HR usually checks preference and joining logistics. Be honest early.
Prep & Mckinsey-specific
How should I prepare for McKinsey?
Split time roughly 35% Solve, 40% cases, 15% PEI STAR, 10% fit. Peer case 3× weekly. Details: preparation guide.
Do I need coding for Business Analyst?
Classic BA recruiting is Solve-, case-, and PEI-led. Tech affiliate JDs may differ. Read your notification before spending months on DSA.
What is the McKinsey PEI?
The Personal Experience Interview is a behavioural deep dive on resume impact: leadership, personal impact, entrepreneurial drive, inclusive collaboration. Use STAR with metrics. It pairs with cases - you need both.
How is McKinsey different from BCG or Bain for freshers?
All three use cases. McKinsey is known for McKinsey Solve as a distinctive first filter and a structured PEI. Prep cases for all; customise “Why this firm?” with real reasons, not brand ranking. See also BCG and Bain.
What case types should I prioritise?
Profitability, market entry, pricing, and growth cover most fresher volume. Practice exhibit math and a crisp recommendation every time.
Any pro tip that actually changes outcomes?
Treat Solve as a real reject stage, case out loud with a peer three times a week, keep a math/structure error log, and rehearse two PEI leadership stories until they sound natural. Reading frameworks alone does not make you case-ready.
Where can I read real interview experiences?
Start with McKinsey interview experience on this site, then cross-check reputable case-prep write-ups for India recruiting. Use them as maps, not scripts.
Should I prepare differently for Mumbai vs Bengaluru vs Gurugram?
Case and PEI bars are the same skill set. What changes is logistics and staffing stories in HR - have an honest office preference and travel comfort answer. Do not invent office stereotypes.
McKinsey - recent candidate experiences
Fresher consulting loops (2024-2025)
Profile patterns that got selected: Strong academics on target campuses, leadership bullets with metrics, internship or project impact, steady peer casing rather than last-week panic. Off-campus selects often had sharper networking plus equally sharp cases.
McKinsey Solve gate: Timed filter. Calm mechanics mattered. Students who treated it as “just a game” and skipped tutorials struggled.
Case rounds: Profitability and market-entry dominated practice notes. Interviewers pushed on math units and whether the recommendation matched the analysis.
PEI: “Tell me about a time you led without authority” and personal-impact stories with real outcomes. Empty leadership claims failed.
Takeaway candidates repeated: clean Solve run + clean structures + honest math + two strong PEI stories beat a perfect resume with weak casing.
What hurt other candidates: dumping frameworks without prioritising; silent math; stories with no numbers; “Why McKinsey?” answers that could fit any logo; ignoring Solve until the night before.
After you clear solve - waiting-week plan
- Peer case every other day - profitability and market entry first.
- Rewrite two PEI STAR stories with sharper metrics.
- Drill mental math: % change, break-even, weighted average - 20 minutes daily.
- Write a one-page “Why McKinsey?” that mentions problem-solving in your own words.
- Sleep and location preference among Mumbai / Bengaluru / Gurugram / Chennai.
Do not binge 20 new frameworks. Deepen structures you already use.
Mini case drill students should rehearse cold
Prompt: A mid-size retailer sees profit down 12% YoY. What would you look at?
- Clarify: profit = revenue − cost; timeframe; which segment; one-time vs ongoing.
- Structure: Revenue (price × volume by category) and cost (COGS, store opex, marketing, logistics).
- Hypothesis: volume decline in a core category, then test with exhibits.
- Math: if volume −15% and price +4%, approximate revenue impact before touching costs.
- Rec: 2 actions (category fix + cost lever), risks, next data request.
Speak this in under four minutes. That transfer skill matters more than memorising a retail case PDF.
Pei story bank
| Story type | Prompt you should answer | Metric to include |
|---|---|---|
| Leadership | Led a project end-to-end | Time saved / users / ₹ impact |
| Personal impact | Changed an outcome for someone else | What changed because of you |
| Entrepreneurial drive | Started or fixed something without a brief | Scope you invented |
| Inclusive collaboration | Made room for quieter voices | How the team outcome improved |
| Failure | Missed a goal | What you changed next time |
If a story has no number, it is not ready for McKinsey PEI.
More narratives: McKinsey interview experience.