How Case Intel uses AI to replicate a McKinsey coach

The vision behind Case Intel

Case Interview Pro's Case Intel module is the result of months of development, testing, and refinement with real candidates. Our goal was simple: build an AI coach that provides the same quality of feedback as a top-tier McKinsey consultant.

Ten specialised analysis engines

Rather than using a single AI model to evaluate everything, we built ten specialised engines, each fine-tuned for a specific dimension of case performance:

• Hypothesis Testing — Evaluates your ability to form and test hypotheses
• Structuring — Assesses framework quality and logical flow
• Quantitative Accuracy — Checks calculation precision and methodology
• Communication — Analyses clarity, conciseness, and executive presence
• Creativity — Measures original thinking and alternative approaches
• Commercial Acumen — Evaluates business judgment and industry awareness
• Resilience — Assesses how you handle pushback and curveballs
• Synthesis — Judges final recommendations and summaries
• Stakeholder Navigation — Evaluates awareness of organisational dynamics
• Risk Awareness — Checks for consideration of risks and trade-offs

How feedback works

After each practice session, Case Intel generates a detailed feedback report with specific, actionable recommendations. You get scores across each dimension, benchmarked against top-performing candidates.