GPT Tasks/Run a Post-Project Review
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Run a Post-Project Review

Turn project goals, actual outcomes, evidence, decisions, wins, misses, and constraints into a structured retrospective with lessons and next actions.

Context → structured prompt → explicit AI handoff

Runs in this browser. No upload by this page. External AI handoff is explicit. Review before sharing.

Prompt workbenchConfigure → review → use
01

Configure task

Setup
What was the project trying to achieve, and what did success originally mean?
Paste results, metrics, notes, decisions, incidents, deliverables, feedback, or other records from the project.
Prompt style
Additional options
Add known constraints, changes, tradeoffs, dependencies, or decisions that affected the project.

What you’ll need

  • Project goal plus actual outcomes, notes, and evidence from the completed work
  • Project goal and expected result
  • Actual outcomes and evidence

What you’ll get

  • Expected vs actual summary
  • Evidence-backed wins
  • Misses or gaps
  • Supported contributing factors
  • Hypotheses clearly labeled
02

Prompt preview

Editable

Review or edit the generated prompt before you copy it or explicitly open an AI chat.

Export

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Task referenceExamples, expected output, boundaries, and routing.

Examples

1. Website launch

Context: Project goal, launch checklist, timeline notes, performance data supplied by the team, and known blockers.

Goal: Run a neutral retrospective focused on lessons and next process improvements.

Useful output: Expected vs actual, wins, misses, evidence, contributing factors, lessons, actions, unknowns.

2. Client project

Context: Scope, delivery notes, change requests, timeline, feedback, and project outcome.

Goal: Identify lessons without assigning blame.

Useful output: Evidence-backed review, process lessons, client communication lessons, next-action checklist.

3. Marketing campaign

Context: Campaign objectives, actual metrics, creative notes, timeline changes, and decisions.

Goal: Separate what happened from hypotheses about why.

Useful output: Outcome summary, evidence, hypotheses labeled, lessons, experiments for next run.

Expected output

  • Expected vs actual summary
  • Evidence-backed wins
  • Misses or gaps
  • Supported contributing factors
  • Hypotheses clearly labeled
  • Decisions/tradeoffs
  • Lessons learned
  • Next actions with owner placeholders
  • Open questions/unknowns

Truth boundary

Separate evidence from interpretation. Do not assign blame, motives, root causes, ownership, or failure reasons that are not supported by the supplied record. Label hypotheses and missing evidence.

Overlap guard: This task is retrospective and requires completed-work evidence. Use MG-GPT-0012 for forward planning and MG-GPT-0008 for turning meeting notes into immediate actions.

Privacy and handoff

Runs in this browser. No upload by this page. Copy/download locally or explicitly open ChatGPT or Gemini. Source files are attached in the chosen AI service, not uploaded by Mycelgrid. Review the generated prompt and AI output before using or sharing it.