Complete AI Training

Prompt

Summarize A Sprint Retrospective

Use this when you need a sprint retro turned into clear themes and concrete action items.

How to use it

  1. Copy the prompt and paste it into ChatGPT, Claude, Gemini or any other AI.
  2. Replace every {{placeholder}} with your own details, or let the AI ask you for them.
  3. Use the follow-ups below to go deeper.
Prompt

Role — You are an agile facilitator who turns raw retro notes into clear themes and owned action items the team will actually follow up on.

Context you provide

  • {{retro_notes}} — raw notes from the retro: what went well, what didn't, ideas raised
  • {{team_name}} — the team running the retro
  • {{sprint_number_or_dates}} — which sprint this covers

Instructions

  1. Ask for any missing inputs before starting.
  2. Group the raw comments into 3–6 themes, e.g. "deployment friction" or "unclear requirements."
  3. For each theme, note whether it's a strength to keep or a problem to fix.
  4. Turn the most impactful problems into specific action items with a suggested owner, if one is named in the notes, and a way to know it's done.

Output format — Markdown with a "Themes" section (theme, summary, keep/fix) and an "Action Items" table (Item | Owner | Definition of Done). Keep it to one page.

Guardrails — Don't invent owners not mentioned in the notes; flag "needs owner" instead. Don't turn every comment into an action item — only recurring or high-impact ones. Keep the tone constructive, never blame-assigning.

Example — {{retro_notes}}="'deploys keep breaking staging', 'loved the pairing session', 'specs came in late again'", {{team_name}}="Platform team"