Real-time AI coaching for case interviews at McKinsey, BCG, Bain, and the Big Four. Framework suggestions, math verification, and structured responses delivered through an invisible overlay.
Download FreeRevenue and cost decomposition, margin analysis, driver identification. The AI structures the profit tree and suggests which branches to investigate first.
Market sizing, competitive analysis, entry strategy options, risk assessment. Structured frameworks with quantitative estimates generated in real time.
Synergy analysis, valuation approaches, integration considerations. The AI provides structured evaluation criteria and suggests key questions to ask.
Case interviews at top consulting firms are among the most demanding interview formats. They require simultaneous analytical thinking, mental arithmetic, structured communication, and creative problem-solving, all under time pressure. PrepPilot's Stealth Mode acts as a silent analytical partner that handles the computational and structural heavy lifting while you focus on communication and insight delivery.
One of the most common failure points in case interviews is mental math errors. When the interviewer says "The company has revenue of 450 million with 35 percent gross margins and they are considering a 12 percent price increase across 60 percent of their product line," PrepPilot captures all the numbers, performs the calculations, and displays the results. You see the math on the overlay and can deliver the answer confidently without worrying about arithmetic mistakes.
The AI does not just calculate; it shows the calculation steps so you can walk the interviewer through your reasoning. This is critical in consulting interviews where demonstrating your thought process matters as much as getting the right number.
When the case prompt is presented, PrepPilot identifies the case type and suggests a tailored framework. For a profitability case, it might suggest decomposing into revenue (price times volume by segment) and costs (fixed versus variable). For a market entry case, it might suggest analyzing market attractiveness, competitive landscape, capabilities required, and entry mode options. These suggestions are not generic textbook frameworks. They are tailored to the specific case details mentioned by the interviewer.
For a comprehensive look at case frameworks with examples, see our case interview frameworks page.
Consulting case interviews are highly interactive. The interviewer provides new data, challenges your assumptions, and pushes you in unexpected directions. PrepPilot maintains full context of the entire case discussion, so when the interviewer says "Actually, the market is growing at 8 percent annually, not the 3 percent you assumed," the AI immediately recalculates with the new data and suggests how the revised figure changes your recommendation.
McKinsey interviews are primarily candidate-led, meaning you drive the analysis and decide which areas to explore. PrepPilot is particularly valuable here because it helps you maintain structure and avoid going down unproductive paths. When you ask the interviewer for specific data, the AI notes the data points and incorporates them into its ongoing analysis, keeping you organized throughout the case.
BCG and Bain interviews tend to be more interviewer-led, with the interviewer guiding you through specific questions and data exhibits. PrepPilot adapts to this format by generating focused responses to each specific question rather than broad framework suggestions. When the interviewer presents a chart or table verbally, the AI helps you identify the key takeaways and structure your response.
Consulting interviews include behavioral rounds alongside case rounds. These assess your leadership, teamwork, and personal impact stories. PrepPilot generates STAR-method responses tailored to consulting firms' evaluation criteria: personal impact, problem-solving, leadership, and entrepreneurial drive. See our behavioral questions guide for practice examples.
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