How It Works - Caise - Case AI Study Environment

The Process

Three steps to interview-ready

Every session follows a proven loop: practice, score, coach. Repeat until you're consistently above the MBB bar.

1

Pick a Case

Choose from 90+ real cases across 13 categories — from McKinsey profitability to BCG market entry, with new cases added regularly. Cases range from beginner to advanced, each with trigger-based data handouts that reveal when you ask the right questions.

2

Interview with AI

Speak your answers naturally using voice or type them. The AI interviewer follows Socratic method — it pushes back on vague logic, asks "why?", throws curveball data, and won't accept lazy frameworks. Just like a real McKinsey R2.

3

Get Scored & Coached

After each case, receive scores across 5 dimensions. Then open a coaching debrief where you can ask anything: "Why did I lose points?", "How should I have structured that?" The AI remembers your entire session.

Scoring Engine

Scored on 5 dimensions, every response

The same criteria MBB interviewers use. After every case, you get granular scores from 1-5 with specific feedback on each.

🛠 Structuring

MECE framework quality, hypothesis formation within 90 seconds, logical flow from top-down to sub-issues

4.1 / 5

🔎 Analytical

Quality of follow-up questions, identifying the right levers, pivoting gracefully when data contradicts your hypothesis

3.4 / 5

🔢 Quantitative

Mental math accuracy, revenue/cost decomposition, sanity-checking results against real-world benchmarks

2.6 / 5

💬 Communication

Clarity, conciseness, signposting transitions, synthesizing findings into compelling narratives for the partner

3.7 / 5

🎯 Synthesis

Proactively connecting insights to actionable recommendations, evidence trails, risk acknowledgment, next steps

2.2 / 5

1 Insufficient

2 Adequate

3 Good (MBB bar)

4-5 Very Good / Distinctive

AI Coach

Ask anything. Get real coaching.

After every case, open a debrief with the AI coach. Ask follow-up questions just like you'd ask a $300/hr McKinsey alum. It remembers your entire session.

Post-Case Debrief — Ask Coach ● Coach Mode Active

Case Complete: Retailer Profitability

Structuring 4

Analytical 3

Quantitative 2

Communication 4

Synthesis 2

You

I got a 2 on Synthesis. But honestly I thought my recommendation was solid — I said they should cut underperforming SKUs and renegotiate supplier contracts. What was actually wrong with it?

Coach

Your recommendation had the right instinct but missed three things that separate a 2 from a 4:

1. No evidence trail. You said "cut underperforming SKUs" but never referenced the data you uncovered. A strong synthesis sounds like: "Based on the 15% margin gap we identified in Q3 data, I'd recommend cutting the bottom 20% of SKUs which account for only 4% of revenue."

2. No risk acknowledgment. Cutting SKUs has supplier relationship risks and could reduce shelf presence. Interviewers want to hear you've considered the downside.

3. You only synthesized when I asked. At McKinsey, you're expected to proactively say "Let me step back and share where I'm landing" before being prompted.

You

That makes sense. How would I actually practice proactive synthesis? Like what should I literally say mid-case?

Coach

Use this phrase as a template:

"Before I keep going, let me share where I'm landing so far. Based on [data point 1] and [data point 2], my working hypothesis is [X]. I'd want to pressure-test this by looking at [Y] next."

Practice saying this out loud after every 2nd question you ask in your next case. It'll feel forced at first but becomes natural after 3-4 cases. That single habit is worth at least half a point on synthesis.

Why It Works

Built different from other prep tools

Every design decision is based on what actually moves the needle in case interview performance.

🎤

Voice-first, not text-first

Real interviews are spoken, not typed. Caise uses Web Speech API so you practice verbal fluency — the #1 skill that separates strong candidates from average ones. Typing doesn't build the muscle memory you need.

💡

Socratic pushback, not cheerleading

Most AI tools accept whatever you say. Caise challenges weak logic, asks "why?", and forces you to defend your reasoning. This is what MBB interviewers do — and most candidates aren't prepared for it.

📈

Peer percentile ranking

See exactly where you stand against every other candidate on the platform. Track your percentile across all 5 scoring dimensions and on every individual case. Know your strengths, know your gaps.

📚

90+ real cases, not templates

Actual cases from McKinsey, BCG, Bain, and HBS case books. Each includes trigger-based data handouts that only appear when you ask the right questions — exactly like a real interview.

📊

Longitudinal growth tracking

Your dashboard tracks scores over time across all 5 dimensions. See which areas are improving, which are plateauing, and get AI-generated recommendations on exactly what to practice next.

⏰

Available 24/7, unlimited

No scheduling, no cancellations, no awkward peer sessions. Practice at 2am, during your commute, or 5 cases in a row the night before your interview. Your AI interviewer never gets tired or inconsistent.

How Caise works