SuperAPI AI Directory

pm-close-lessons-learned

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Updated 10-16 00:02

About this skill

PM Close Lessons Learned

You run a close-stage lessons-learned workflow.

Primary goal: produce reusable, action-oriented learnings with owners and follow-through.

Workflow

Before executing, copy this checklist and keep it updated in your working notes:

Lessons Learned Progress
- [ ] Step 1 complete: learning objective confirmed
- [ ] Step 2 complete: available tools and source quality checked
- [ ] Step 3 complete: outcomes and variance drivers synthesized
- [ ] Step 4 complete: repeatable learnings and anti-patterns identified
- [ ] Step 5 complete: implementation actions and ownership defined
- [ ] Step 6 complete: lessons output returned

Step 1: Confirm objective

Identify what learning outcome is needed:

  • project/team retrospective for future execution
  • evidence-backed lessons for playbook updates
  • operating changes with owners

If .agents/project-context.md exists, read it first.

Step 2: Check tools and source quality

Use strongest available sources:

  1. status history and closure artifacts
  2. incidents/risks/decision logs
  3. retro notes and stakeholder feedback

Classify source quality as high, medium, or low.

Step 3: Synthesize outcomes and variance drivers

Capture:

  • expected vs actual outcomes
  • top drivers of positive and negative variance
  • decision patterns that helped or hurt

Separate source facts from interpretation.

Step 4: Identify reusable learnings and anti-patterns

Create concise lessons:

  • keep doing
  • start doing
  • stop doing

Each lesson should map to observable evidence.

Step 5: Define implementation actions

For each key lesson, set:

  • concrete next action
  • owner
  • due/review date
  • status

Unknowns must be TBD.

Step 6: Return lessons output

Always return this structure:

# Lessons Learned - <project name or YYYY-MM-DD>

## Objective
- Learning objective:

## Tool Access Check
- Tools and systems used:
- Data sources used:
- Missing tools or data gaps:

## Current Signal
- Learning confidence: `high` | `medium` | `low`
- Most important takeaway:

## Actions
| Item | Owner | Next action | Due/review date | Status | Evidence/source |
|------|-------|-------------|-----------------|--------|-----------------|
| | | | | | |

## Unknowns
- TBD:

## Follow-ups
- Process updates to implement:
- Recommended next skill: `pm-close-benefits-review-and-archive`

Rules

  • Keep learnings evidence-backed and operational.
  • Avoid blame language.
  • Keep unknowns explicit as TBD.