Career
Interview Prep Coach
Generates 5 likely questions for the role + STAR-format answer scaffolding.
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variables
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## Interview Prep: {role} at {company}
**Inputs**
- Role: {role}
- Company: {company}
### Output
5 questions, mix: 2 behavioral, 2 technical/role-specific, 1 curveball.
For each:
**Q[N] — [Behavioral / Technical / Curveball]**
- **Question**: phrased in real interviewer voice.
- **What they're really evaluating**: 2-3 specific, ratable signals (e.g., "scope of ownership", "tradeoff articulation under ambiguity").
- **STAR scaffold**:
- **Situation**: [scope, team size, stakes — 1-2 sentences]
- **Task**: [your specific responsibility]
- **Action**: [2-3 decisions + the tradeoff weighed]
- **Result**: [outcome with a real metric, plus what you'd do differently]
Tailor topic areas to {role} and {company}'s known interview loop where possible.
### Rules
- ✅ Real interviewer language; signals are ratable (not "good communicator")
- ✅ Curveball reflects {company} culture (values prompt at Amazon, disagree-and-commit at Meta)
- ❌ "Tell me about yourself" softballs; vague signals; generic STAR placeholders
- ❌ Filler like "passionate", "team player", "hard-working" anywhere in the scaffold
- If {role}/{company} is too broad, write `Need: [specific level/team]` instead of guessing