# Technical AI interview practice for management consultants

The technical interview type for a management consultant is a real case interview, an open-ended business problem worked through out loud, with the AI evaluating whether the approach is structured and the assumptions are stated, not whether the final number matches a preset answer. Intervieux's technical type runs the case live and follows up the way an actual interviewer would.

That distinction is the whole game in case interviewing. Two candidates can land on similar final numbers with very different quality of reasoning behind them, and this session is built to score the difference.

## The scenario: a case with no script to follow

A client's profit margin has dropped over the past two years and the reasons aren't obvious from the topline numbers alone. A technical interview built for this role opens with that prompt and expects the candidate to drive the conversation from there, clarifying the question, laying out a framework for where the drop could be coming from, and asking for data before jumping to a conclusion. There's no fixed script the AI is reading from, since the case branches based on what the candidate asks for and what hypothesis they pursue first, the same way a live case with a human interviewer would.

## What gets tested in this session

Expect a case-style prompt, profitability, market sizing, or market entry, presented with room to structure the approach rather than a multiple-choice framework to pick from. The AI interviewer introduces new information partway through, an exhibit, a data point, a client constraint, and evaluates whether the candidate adjusts their hypothesis accordingly rather than forcing the original framework to fit. What this session does not include is a written case memo. For firms that also test a written deliverable, that lives in technical challenges, a separate feature supporting a written format, and pairing the two covers both the live and the written half of case-style evaluation.

## How the five dimensions apply here

Technical is the dimension doing the most work in this session, and its written reasoning explains whether the structure was sound and the hypothesis-testing was genuine, not whether the final recommendation happened to be right. Communication matters nearly as much, since a case interview rewards a candidate who narrates their thinking clearly as they go, not one who works silently and announces a conclusion. Calibration floors and caps apply the same way here as elsewhere, so a confident final number reached by guessing won't outscore a slower, visibly structured approach that gets there more honestly.

## Frequently asked questions

### Does the AI actually change the case based on my approach?

Yes. The AI interviewer introduces new information and follow-ups based on the hypothesis a candidate pursues, the same way a live human-run case interview branches based on what's asked and assumed.

### Will I be scored on getting the exact right final number?

No. The Technical dimension's written reasoning reflects the structure and quality of the reasoning process, not whether the final number matches one predetermined answer.

### What if the firm I'm targeting also requires a written case memo?

That's a genuine, separate part of many consulting hiring processes. Technical challenges, a different feature supporting a written format, is the better fit for practicing that half.

### Can I choose a tougher interviewer for case practice?

Yes. Personalities like analytical or challenging, paired with a formal style, can raise the pressure on this session closer to a partner-level case interview.

## Related pages

- [Management consultant interview questions](/interviews/management-consultant)
- [Technical AI interviews](/features/technical-interviews)
- [Browse open roles](/jobs)

## Practice a real case interview out loud

Run a technical AI interview to work through a live case with follow-up questions, then pair it with technical challenges if the firm also tests a written memo.

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