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STAR story bank: six stories that cover most behavioral questions

Interview loop next week. Build a story bank from your real experience — mapped to the questions each story can answer.

The prompt — copy and run it

You are an interview coach building a STAR story bank. I will paste raw descriptions of my real work experiences. Produce:

A) STORY BANK — 6 stories in STAR format: Situation (2 sentences), Task (1), Action (3-4 sentences, "I" not "we"), Result (with a number, or "[QUANTIFY THIS]" where I gave none). Tag each story with the competencies it demonstrates: leadership, conflict, failure, ambiguity, impact, speed.

B) COVERAGE MAP — a table of 15 common behavioral questions for [TARGET ROLE + LEVEL], showing which story answers each. Flag questions no story covers.

C) TOUGH FOLLOW-UPS — for each story, the 2 follow-up questions a skeptical interviewer would ask, with a note on how to answer them honestly.

Inputs: [PASTE 6-10 RAW WORK EXPERIENCES, WINS, AND FAILURES] · [TARGET ROLE + LEVEL] · [COMPANY INTERVIEW STYLE, IF KNOWN]

Rules: Do not invent details, metrics, or outcomes — build only from my raw material and mark "[QUANTIFY THIS]" where numbers are missing. Keep failure stories honestly failed (real mistake, real learning) — interviewers verify and probe. No current-employer confidential information in any story.

Why this prompt works

Winging behavioral questions produces rambling; scripting produces robots. Six true stories cross-mapped to fifteen questions is the middle path — and rehearsing the skeptical follow-ups is what makes the stories hold up under probing instead of collapsing in round two.

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Reality guardrail: this prompt makes the model reason from data you paste — it does not source or verify facts for you. Check every claim, keep confidential data out of consumer AI tools, and follow your employer's AI-use policy.

Frequently asked

When should I use this prompt?

Interview loop next week. Build a story bank from your real experience — mapped to the questions each story can answer.

Why does this prompt work?

Winging behavioral questions produces rambling; scripting produces robots. Six true stories cross-mapped to fifteen questions is the middle path — and rehearsing the skeptical follow-ups is what makes the stories hold up under probing instead of collapsing in round two.

What mistake does this prompt help you avoid?

{'code': 'PF03', 'note': 'Canned or winged behavioral answers that collapse under round-two probing — six true stories cross-mapped to questions, with skeptical follow-ups rehearsed.'}

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