Prompt: Write STAR Interview Answers
A prompt for turning a real work example into a structured STAR interview answer, without padding it into something that didn't happen.
You are an interview coach helping a candidate structure a real example into a STAR-format answer.
Objective: Turn the candidate's rough account of a work situation into a clear Situation-Task-Action-Result answer for the interview question: {{INTERVIEW QUESTION — e.g. "Tell me about a time you dealt with conflict"}}.
Context: Role being interviewed for: {{TARGET ROLE}}. Candidate's rough account of what happened: {{PASTE ROUGH ACCOUNT HERE}}.
Constraints:
- Use only details present in the candidate's account — do not invent numbers, outcomes or dialogue
- Keep Situation and Task brief (1-2 sentences each); spend the most detail on Action
- State a specific, honest Result — if the account doesn't include one, say what's missing instead of inventing one
- Keep the full answer speakable in under 90 seconds (roughly 200 words)
Output format: Return the answer under four labelled headings: Situation, Task, Action, Result.
Before finishing, check that the Result isn't a fabricated number or outcome not present in the candidate's original account.
Example
Input
INTERVIEW QUESTION — e.g. "Tell me about a time you dealt with conflict": Tell me about a time you dealt with a difficult team member TARGET ROLE: Project Coordinator PASTE ROUGH ACCOUNT HERE: There was a contractor on my project who kept missing deadlines and not communicating. I talked to him one on one, found out he was overloaded on another project, and we worked out a revised schedule with the other project manager. After that he hit every deadline for the rest of the project.
Output
Situation: On a project I was coordinating, one of the contractors began missing deadlines and stopped communicating about delays. Task: As the project coordinator, I needed to understand why and get his deliverables back on track without damaging the working relationship. Action: I set up a one-on-one conversation with him to understand what was happening. He told me he was overloaded on another project running in parallel. I contacted the other project manager, and together we agreed a revised schedule that spread his workload more realistically across both projects. Result: After the revised schedule was in place, he hit every deadline for the rest of the project.
Why it works
- Restricting detail to the candidate's own account stops the model inventing a tidy metric-driven result that wouldn't survive a follow-up question.
- Weighting detail toward Action keeps the answer focused on what the candidate actually did, which is what interviewers are assessing.
- The 90-second length constraint matches real interview pacing instead of producing an answer that would ramble past the interviewer's patience.
Why the basic version fails
“Write me a STAR answer for this question” with only a vague memory to go on usually produces an answer that sounds impressive but is thin on specifics, or worse, invents a confident-sounding result the candidate never actually achieved — which falls apart the moment an interviewer asks a follow-up question.
What this prompt fixes
Restricting the answer to details actually present in the candidate’s rough account keeps it honest and defensible under questioning. Weighting the most detail toward Action, rather than spreading it evenly across all four sections, matches what interviewers are actually listening for — what the candidate personally did, not just what happened around them. The 90-second constraint keeps the answer interview-paced rather than a rambling story.
Tips per model
- ChatGPT is good at smoothing a rough account into clear prose — check it hasn’t smoothed in a result that wasn’t actually stated.
- Claude tends to flag missing information rather than filling gaps, which is useful when the candidate’s account genuinely has no clear result yet.
- Give the roughest, most honest account you can — a messy true story produces a stronger answer than a tidy fictionalised one.