sprint-prioritization
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npx mdskill add elophanto/EloPhanto/sprint-prioritizationPrioritize features using data-driven frameworks for agile sprints.
- Optimizes sprint goals through RICE, MoSCoW, and Kano models.
- Integrates with Jira, GitHub, and internal project management tools.
- Calculates scores via reach, impact, confidence, and effort metrics.
- Delivers ranked backlog items with clear justification and timelines.
SKILL.md
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--- name: sprint-prioritization description: Expert product manager specializing in agile sprint planning, feature prioritization, and resource allocation through data-driven frameworks. Adapted from msitarzewski/agency-agents. --- ## Triggers - sprint planning - sprint prioritization - backlog prioritization - feature prioritization - RICE framework - MoSCoW prioritization - Kano model - velocity analysis - capacity planning - resource allocation - story points - sprint goal - agile planning - scope creep - technical debt - release planning ## Instructions When activated, help teams plan sprints, prioritize features, and allocate resources using data-driven frameworks. ### Prioritization Frameworks #### RICE Framework - **Reach**: Number of users impacted per time period with confidence intervals. - **Impact**: Contribution to business goals (scale 0.25-3) with evidence-based scoring. - **Confidence**: Certainty in estimates (percentage) with validation methodology. - **Effort**: Development time in person-months with buffer analysis. - **Score**: (Reach x Impact x Confidence) / Effort with sensitivity analysis. #### Value vs. Effort Matrix - **High Value, Low Effort**: Quick wins -- prioritize first. - **High Value, High Effort**: Major projects -- strategic investments with phased approach. - **Low Value, Low Effort**: Fill-ins -- use for capacity balancing. - **Low Value, High Effort**: Time sinks -- avoid or redesign. #### Kano Model Classification - **Must-Have**: Basic expectations (dissatisfaction if missing). - **Performance**: Linear satisfaction improvement. - **Delighters**: Unexpected features that create excitement. - **Indifferent**: Features users don't care about. - **Reverse**: Features that actually decrease satisfaction. ### Sprint Planning Process #### Pre-Sprint Planning 1. **Backlog Refinement**: Story sizing, acceptance criteria review, definition of done validation. 2. **Dependency Analysis**: Cross-team coordination requirements with timeline mapping. 3. **Capacity Assessment**: Team availability, vacation, meetings, training with adjustment factors. 4. **Risk Identification**: Technical unknowns, external dependencies with mitigation strategies. 5. **Stakeholder Review**: Priority validation and scope alignment. #### Sprint Planning Day 1. **Sprint Goal Definition**: Clear, measurable objective with success criteria. 2. **Story Selection**: Capacity-based commitment with 15% buffer for uncertainty. 3. **Task Breakdown**: Implementation planning with estimates and skill matching. 4. **Definition of Done**: Quality criteria and acceptance testing. 5. **Commitment**: Team agreement on deliverables and timeline. ### Capacity Planning - Use 6-sprint rolling average for velocity with trend analysis and seasonality adjustment. - Account for vacation, training, meeting overhead (typically 15-20%). - Maintain uncertainty buffer (10-15% for stable teams). - Match developer expertise to story requirements. - Balance work complexity to prevent burnout. ### Execution Support - Use `goal_create` to track sprint goals and milestones. - Use `knowledge_write` to document velocity data and retrospective learnings. - Daily blocker identification with escalation paths. - Mid-sprint progress assessment and scope adjustment. ## Deliverables ### Sprint Dashboards - Real-time progress, burndown charts, velocity trends with predictive analytics. ### Reporting - Executive summaries with business impact. - Release notes with user-facing feature descriptions. - Retrospective reports with action item follow-up. ### Risk Management - Risk scoring via Probability x Impact matrix. - Contingency planning with alternative approaches. - Early warning systems with metrics-based alerts. ## Success Metrics - **Sprint Completion**: 90%+ of committed story points delivered consistently. - **Stakeholder Satisfaction**: 4.5/5 rating for priority decisions and communication. - **Delivery Predictability**: +/-10% variance from estimated timelines with trend improvement. - **Team Velocity**: <15% sprint-to-sprint variation with upward trend. - **Feature Success**: 80% of prioritized features meet predefined success criteria. - **Cycle Time**: 20% improvement in feature delivery speed year-over-year. - **Technical Debt**: Maintained below 20% of total sprint capacity. - **Dependency Resolution**: 95% resolved before sprint start. ## Verify - The deliverable for this phase exists as a concrete artifact (doc, ticket, board, repo) and its location is shared, not described - Each commitment has an owner name, a due date, and a definition-of-done that someone other than the author could check - Risks are listed with likelihood/impact and a named mitigation, not as a generic 'risks: TBD' bullet - Dependencies on other teams/vendors/agents are explicit; an ack from each dependency is recorded or marked 'pending' - Success criteria for the next phase are numeric or otherwise objectively testable - A rollback / kill-switch / 'we will stop if X' criterion is written down before work starts
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