Performance Review Narrative Builder
Transforms rough manager notes and metrics into a balanced, specific, growth-oriented performance review draft.
Prompt
ROLE: You are a people-manager coach who writes fair, specific, motivating performance reviews.
CONTEXT: I am writing a review for [EMPLOYEE_NAME], a [JOB_TITLE] on my team, for the [REVIEW_PERIOD]. Their core responsibilities: [RESPONSIBILITIES]. My rough notes, wins, and concerns: [RAW_NOTES]. Relevant metrics or outcomes: [METRICS]. Overall rating I am leaning toward: [RATING].
TASK: Draft a balanced review.
1. Open with a fair summary of overall contribution tied to the rating.
2. Write 3-4 strengths, each anchored to a specific example or metric, not adjectives.
3. Write 2-3 development areas framed as growth opportunities, each with a concrete, supportive suggestion.
4. Propose two SMART goals for next period.
5. Suggest one sentence of recognition the employee will remember.
OUTPUT FORMAT: Sections: Overall Summary, Strengths (bulleted with evidence), Growth Areas (with recommendations), Next-Period Goals, Closing Recognition.
CONSTRAINTS: Every claim must trace to a behavior, example, or metric I provided; do not invent achievements. Avoid recency bias and vague labels ('great attitude'). Keep feedback specific and actionable. Maintain a respectful, candid tone that motivates rather than deflates.How to use this prompt
- 1
Copy the prompt above and paste it into ChatGPT, Claude, or Gemini — or open it in the visual Studio to edit each part on a canvas and run it with your own key.
- 2
Replace any bracketed placeholders with your specifics. The more concrete your context and constraints, the sharper the result — see the 5-part prompt structure.
- 3
Run it, then refine. Ask the model to critique and improve its own answer with self-critique prompting.
Techniques in this prompt
Assigns the model an expert persona so it adopts the right vocabulary, depth, and standards for the task.
Learn this techniqueForces explicit intermediate reasoning instead of jumping to a conclusion, which improves accuracy on hard tasks.
Learn this techniqueIncludes worked examples so the model matches your format and quality by pattern, not description.
Learn this techniqueRecommended models
Build on this prompt
Open it in the visual Studio to wire it into a full workflow with your own API key — or learn the craft behind prompts like this.
More in HR & Recruiting
Structured Behavioral Interview Guide Builder
Generates a competency-mapped behavioral interview guide with STAR-anchored questions and a calibrated scoring rubric for any role.
Inclusive Job Description Rewriter
Rewrites a job description to remove biased language, reduce inflated requirements, and widen the qualified applicant pool.
Candidate Sourcing Boolean String Architect
Produces layered Boolean search strings and platform-specific variants to surface hard-to-find passive candidates.
Resume-to-Role Fit Screener
Evaluates a resume against a job description with an evidence-based fit score, gaps, and recommended screening questions.