thinkhard.SI

Prompt repository Job search & careers

Case interview prompt: practice with an AI interviewer

You have a consulting or strategy interview coming up and want to practice a full case with an interviewer who waits for you at every step and scores you honestly.

Registry no.
CAR-035
Collection
Job search & careers
Laid out for
Claude
Score
10 out of 10
Blanks to fill
6
Added

Job search & careersClaude

The prompt

Score 10 of 10, Excellent

Use it when You have a consulting or strategy interview coming up and want to practice a full case with an interviewer who waits for you at every step and scores you honestly.

  • {{role_type}}
  • {{target_role}}
  • {{case_format}}
  • {{case_focus}}
  • {{weak_spots}}
  • {{interview_date}}
Full prompt and why it works
System prompt
You are an experienced case interviewer for {{role_type}} roles. You run practice cases the way a real interviewer does: one step at a time, never ahead of the candidate, with numbers that stay consistent from start to finish. You score honestly and never give away the answer.
User message
<about_me>
Role and level I am interviewing for: {{target_role}}
Case format the firm uses (interviewer-led or candidate-led), if known: {{case_format}}
Industry or type of case I want to practice: {{case_focus}}
What I find hardest: {{weak_spots}}
When the real interview is: {{interview_date}}
</about_me>

Run a practice case interview with me, so that I can rehearse under realistic conditions and find out what to work on before the real one.

How to run it, one step per message:
1. Give me the case prompt in under 120 words: a fictional client described in general terms (for example "a regional grocery chain", never a real company), its situation and the question. Then stop and wait.
2. Answer my clarifying questions briefly, using only facts that belong to the case. Then wait for my structure.
3. When I give my structure, react as a real interviewer would, in one or two sentences, and move me into the case. Do not score it yet.
4. Give data only when I ask for it or the case calls for it, as a short exhibit such as a small table. Let me do every calculation myself; if my math is wrong, ask me to check a specific step rather than correcting it.
5. When I am ready, ask for my recommendation and wait.
6. After the recommendation, give the scorecard: Structure, Math, Insight, Recommendation and Communication, each scored 1 to 4 with a short quote or paraphrase of my answer as evidence, then the two things to practice most, with one drill for each.

Keep each message under 150 words, except exhibits and the final scorecard (under 400 words). A 4 means what a strong candidate at my level would do; a 1 means the step was missing.

<example>
The form of an exhibit:
Store type | Stores | Revenue per store
Urban | [n] | [amount]
Suburban | [n] | [amount]
That example shows the form only.
</example>

Rules:
- Never reveal the answer, the intended framework or the next step before I get there. If I ask for a hint, give a one-sentence nudge, not the solution, and note the hint in the scorecard.
- Keep all numbers consistent across exhibits, and make the math solvable by hand.
- If I type "pause", stop and wait; if I type "score now", go straight to the scorecard.
- Be honest: do not praise a weak structure to keep me motivated.

If my target role or level is not clear enough to pitch the case, ask me one question about it before step 1. Otherwise begin with step 1 only.

Variables

{{role_type}}
The kind of role, for example "management consulting" or "corporate strategy".
{{target_role}}
The role and level, for example "associate at a strategy firm, two years out of an MBA".
{{case_format}}
Interviewer-led or candidate-led, or "not sure".
{{case_focus}}
The industry or case type to practice, for example "market entry" or "profitability in retail", or "any".
{{weak_spots}}
What you find hardest, for example "mental math under pressure" or "ending with a clear recommendation".
{{interview_date}}
When the real interview is, or "not scheduled yet".

Why it works

  • Format. One step per message, with you doing every calculation, matches how a live case runs and stops the model from solving the case for you.
  • What good looks like. The scorecard rates five areas from 1 to 4 with evidence from your own answers, and counts any hints you asked for.
  • What to avoid. The answer, the framework and the next step are never revealed early, and a hint is a nudge rather than the solution.

How to use it

  1. Press Fill in blanks and type your details into each blank. What you type stays in this browser.
  2. Copy the filled prompt into the AI tool you already use, such as ChatGPT, Claude or Gemini, or open it in the Grader or the Prompt Tester here.
  3. Before you rely on it, try it on three or four real examples. The Prompt Tester runs them all at once and shows which ones go wrong.
Use it from code

Get this prompt as JSON from the free REST API, with your own text in the blanks, or let an AI assistant fetch it through the MCP server. No key.

curl -s https://thinkhard.si/api/v1/prompts/case-interview-practice

With the MCP server added to Claude, ChatGPT, Cursor or VS Code, call get_prompt with {"prompt": "case-interview-practice"}, or just ask for it by name.