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/iterate-refinement-notes

Documents backlog refinement session outcomes including stories refined, estimates, questions raised, and decisions made. Use during or after refinement to capture the results and share with absent team members.

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product-on-purpose-pm-skills
72668 skills6 agents11 commands2 hooks
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$ npx -y skills add product-on-purpose/pm-skills --skill iterate-refinement-notes --agent claude-code

How it fires

How this skill gets triggered: by you, by Claude, or both.

  • Fires itselfAuto-invocation. Claude auto-loads it when your prompt matches the work.Auto-invocation is when the right skill fires by itself at the right moment, driven by a FLOW.md router and a hook, instead of you invoking it by name. It is the difference between a skill being installed and a skill actually getting used.Read the full definition →
  • You can call itInvoke it directly when you want it.
  • Slash command/iterate-refinement-notes

Context preview

The summary Claude sees to decide when to auto-load this skill.

Documents backlog refinement session outcomes including stories refined, estimates, questions raised, and decisions made. Use during or after refinement to capture the results and share with absent team members.

SKILL.md

iterate-refinement-notes.SKILL.md
name: iterate-refinement-notes
description: Documents backlog refinement session outcomes including stories refined, estimates, questions raised, and decisions made. Use during or after refinement to capture the results and share with absent team members.
license: Apache-2.0
metadata:
  phase: iterate
  version: "2.1.0"
  updated: 2026-06-10
  category: coordination
  frameworks: [triple-diamond, lean-startup, design-thinking]
  author: product-on-purpose

<!-- PM-Skills | https://github.com/product-on-purpose/pm-skills | Apache 2.0 -->

Refinement Notes

Refinement notes capture the outcomes of backlog refinement (grooming) sessions.what was discussed, what was estimated, and what decisions were made. They serve as a quick reference for team members who missed the session and a historical record of how stories evolved from idea to ready-for-sprint.

When to Use

  • During refinement sessions to capture decisions in real-time
  • After refinement to share outcomes with absent team members
  • When onboarding new team members to explain backlog context
  • Before sprint planning to review what's been refined
  • When stories need re-refinement due to time elapsed

When NOT to Use

  • You need the stories themselves written -> use `deliver-user-stories`
  • You need a general meeting summary, not a backlog-refinement record -> use `foundation-meeting-recap`
  • You are running the retrospective ceremony -> use `iterate-retrospective`
  • Refined stories need their failure scenarios enumerated -> use `deliver-edge-cases`

Instructions

When asked to document refinement notes, follow these steps:

1. **Record Session Metadata** Note the date, attendees, and duration. This helps track who was part of decisions and when discussions happened.

2. **List Stories Discussed** For each story, capture the outcome: estimated points, refined status, key discussion points, and any modifications made to the original scope.

3. **Document Questions Raised** Questions that couldn't be answered in the session need owners and due dates. Don't let them disappear.they often block sprint planning.

4. **Capture Decisions Made** Record any scope decisions, technical approaches agreed upon, or priority changes. These decisions are valuable context that gets lost without documentation.

5. **Note Action Items** Any follow-up work needed before stories are sprint-ready: mockups to create, technical spikes to run, stakeholders to consult.

6. **Flag Blocked Stories** Clearly identify stories that can't proceed until blockers are resolved. Include what the blocker is and who owns resolution.

7. **Plan Next Session** Note what should be refined next and any preparation needed.

Output Format

Use the template in `references/TEMPLATE.md` to structure the output. Complete notes fill every template section: Session Info; Summary; Stories Refined; Stories Summary Table; Questions Raised; Decisions Made; Action Items; Blocked Stories; Parking Lot; and Next Session.

Quality Checklist

Before finalizing, verify:

  • [ ] All discussed stories have outcomes recorded
  • [ ] Open questions have owners assigned
  • [ ] Decisions are captured with enough context
  • [ ] Blocked stories are clearly flagged
  • [ ] A reader who missed the session can tell each story's outcome and what happens next without asking

Examples

See `references/EXAMPLE.md` for a completed example.

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68 plug-and-play, best-practice product management skills for AI agents: 30 Triple Diamond phase + 11 foundation + 12 utility + 15 tool (Foundation Sprint + Design Sprint). Plus 6 sub-agents, workflows, 200+ output samples, guides, and CI-enforced contracts. Apache 2.0.

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