define-hypothesis
Defines a testable hypothesis with clear success metrics and a validation approach. Use when…
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.
$ npx -y skills add product-on-purpose/pm-skills --skill iterate-refinement-notes --agent claude-codeHow it fires
How this skill gets triggered: by you, by Claude, or both.
/iterate-refinement-notesContext 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.
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 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 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.
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.
Before finalizing, verify:
See `references/EXAMPLE.md` for a completed example.
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.
Repo: product-on-purpose/pm-skills
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