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LinkedIn Experience Bullets in STAR Format

Turn rough job duties into strong LinkedIn experience bullets using STAR (Situation, Task, Action, Result) with honest metrics. STAR is. Why it matters: nice answers don't fix the real problem.

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Prompt

What is STAR?
- Situation: the context / problem / constraint
- Task: what you owned or were responsible for
- Action: what you specifically did
- Result: the measurable or observable outcome (use [METRIC NEEDED] if unverified)

Turn my rough duties into LinkedIn experience bullets using STAR (Situation-Task-Action-Result). Stay strictly honest.

Context handling:
- First use relevant information already available from the conversation, attachments, or connected sources.
- Do not ask me to repeat details you already have.
- If a required detail is missing, ask one short follow-up.
- State important assumptions. Never invent employers, titles, metrics, dates, or credentials. Use [METRIC NEEDED] or [needs proof] when evidence is missing.

Role title: {{role_title}}
Company / team: {{company}}
Rough duties / notes:
{{rough_duties}}
Metrics if any (verified only):
{{metrics_if_any}}

Bullet rules:
- Pattern: strong verb + scope/context + action + result/impact
- STAR should be compressed into 1-2 lines per bullet (not labeled S/T/A/R on LinkedIn)
- 4-6 bullets max for this role; lead with highest-impact work
- If a number is missing or unverified, write [METRIC NEEDED] — never invent
- Prefer recruiter/ATS vocabulary that matches real evidence
- No confidential customer names, revenue secrets, or internal-only jargon without a plain gloss

Weak vs strong:
- Weak: "Responsible for improving onboarding and working with cross-functional teams."
- Strong: "Rebuilt onboarding for a [N]-user product with design/eng; cut time-to-first-value by [METRIC NEEDED] and reduced support tickets on signup."

Produce:
1) Assumptions and evidence gaps
2) STAR story bank (3-5 mini stories: Situation, Task, Action, Result — Result may be [METRIC NEEDED])
3) Final LinkedIn bullets (4-6), ready to paste
4) Keyword pass: skills/tools surfaced vs still buried
5) Interview defense notes: what I should be ready to explain for each bullet

Create your final prompt

Add your context and generate

Fill in the required variables below. Optional variables can be left blank and will remain as placeholders.

Job title for this role
Company or team name (sanitized OK)
Rough duties, projects, or notes
Any real metrics or scale notes

What to expect

Example output

A short STAR refresher, then 5 STAR-aligned LinkedIn bullets with [METRIC NEEDED] flags, keyword hints, and weak-vs-strong examples.

Example context

Example input

Role: Backend Engineer at FinCo. Duties: payments API, on-call, migrated to Kafka. Metrics: p99 from 800ms to 200ms (verified).

Discussion

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