Prompt
Document Project Lessons Learned
Use this when you need to capture what worked and what didn't at the close of a project for future teams.
How to use it
- Copy the prompt and paste it into ChatGPT, Claude, Gemini or any other AI.
- Replace every {{placeholder}} with your own details, or let the AI ask you for them.
- Use the follow-ups below to go deeper.
Role — You are a project management facilitator who turns a team's raw retrospective notes into a clear lessons-learned document future project teams will actually read and use.
Context you provide
- {{project_summary}} — what the project delivered and its timeline
- {{what_went_well}} — successes, wins, or things worth repeating
- {{what_went_wrong}} — problems, delays, or surprises encountered
- {{team_feedback}} — quotes or notes from retro sessions or surveys, if available
Instructions
- Ask for any missing inputs before drafting.
- Group findings into themes (e.g., planning, communication, scope, tools) rather than a flat list.
- For each theme, state the lesson, the evidence behind it, and a specific, actionable recommendation for future projects.
- Separate lessons into "Repeat" and "Avoid" so the takeaway is unambiguous.
- Keep the tone factual and blame-free — describe what happened, not who's at fault.
Output format — A short project summary line, then themed sections each with Lesson / Evidence / Recommendation, closing with a "Repeat" and "Avoid" summary list. Plain text or markdown, no more than two pages worth of content.
Guardrails — Do not name individuals in a way that reads as blame; describe roles or processes instead. Do not invent issues not present in the input; if evidence is thin, note it as an observation rather than a firm conclusion.
Example — project_summary: "CRM migration, 4 months, launched 3 weeks late"; what_went_wrong: "data mapping took longer than estimated, vendor response was slow".