roadmap-prioritization-planning
Master prioritization frameworks, roadmap planning, timeline estimation, and resource allocation. Create executable roadmaps that drive focus and alignment.
Best use case
roadmap-prioritization-planning is best used when you need a repeatable AI agent workflow instead of a one-off prompt.
Master prioritization frameworks, roadmap planning, timeline estimation, and resource allocation. Create executable roadmaps that drive focus and alignment.
Teams using roadmap-prioritization-planning should expect a more consistent output, faster repeated execution, less prompt rewriting.
When to use this skill
- You want a reusable workflow that can be run more than once with consistent structure.
When not to use this skill
- You only need a quick one-off answer and do not need a reusable workflow.
- You cannot install or maintain the underlying files, dependencies, or repository context.
Installation
Claude Code / Cursor / Codex
Manual Installation
- Download SKILL.md from GitHub
- Place it in
.claude/skills/roadmap/SKILL.mdinside your project - Restart your AI agent — it will auto-discover the skill
How roadmap-prioritization-planning Compares
| Feature / Agent | roadmap-prioritization-planning | Standard Approach |
|---|---|---|
| Platform Support | Not specified | Limited / Varies |
| Context Awareness | High | Baseline |
| Installation Complexity | Unknown | N/A |
Frequently Asked Questions
What does this skill do?
Master prioritization frameworks, roadmap planning, timeline estimation, and resource allocation. Create executable roadmaps that drive focus and alignment.
Where can I find the source code?
You can find the source code on GitHub using the link provided at the top of the page.
Related Guides
SKILL.md Source
# Roadmap & Prioritization Skill
Master the art of saying "no". Create focused roadmaps that align your organization, drive strategic outcomes, and maximize impact with limited resources.
## RICE Scoring System (Complete)
### Formula
```
RICE Score = (Reach × Impact × Confidence) / Effort
Reach: How many users affected? (1-100+)
- 10+ = 10
- 100+ = 100
- 1000+ = 1000
Impact: Per-user impact (3, 2, 1, 0.5)
- 3 = Massive (10x improvement)
- 2 = High (significant improvement)
- 1 = Medium (noticeable improvement)
- 0.5 = Low (minor improvement)
Confidence: How confident? (0.25-1.0)
- 1.0 = High (research backed)
- 0.8 = Medium (some validation)
- 0.5 = Low (minimal validation)
- 0.25 = Very low (assumption)
Effort: Engineer-weeks needed (1-20+)
```
### Scoring Example Matrix
```
Feature Reach Impact Confidence Effort RICE Score
────────────────────────────────────────────────────────
User Onboarding 50 3 0.8 8 (50×3×0.8)/8 = 15.0
Dark Mode 200 1 0.9 4 (200×1×0.9)/4 = 45.0
API Limits 500 2 0.7 10 (500×2×0.7)/10 = 70.0
Performance Fix 1000 0.5 1.0 5 (1000×0.5×1)/5 = 100.0
Custom Fields 30 3 0.6 12 (30×3×0.6)/12 = 4.5
PRIORITIZE: Performance > API Limits > Dark Mode > Onboarding > Custom Fields
```
### RICE Confidence Levels
**High (1.0) - Research-backed**
- Customer interviews conducted
- Data from analytics
- Customer support tickets confirming
- Clear customer demand
**Medium (0.8) - Some validation**
- Logical assumption
- One or two customers requesting
- Industry trends suggest it
- Similar features successful elsewhere
**Low (0.5) - Minimal validation**
- Educated guess
- Competitive pressure (they have it)
- Opportunity emerged
- Needs deeper validation
**Very Low (0.25) - Pure assumption**
- "Seems like good idea"
- No customer feedback
- No validation whatsoever
- High risk of waste
## Alternative Prioritization Methods
### Value vs Effort Matrix
```
Low Effort High Effort
High Value QUICK WINS STRATEGIC
(Do first) (Plan carefully)
Low Value FILL-INS AVOID
(If time) (Skip)
```
**Quick Wins:** High value, low effort
- Implement first for momentum
- Build confidence
- Show stakeholders progress
- Examples: Bug fixes, small features
**Strategic:** High value, high effort
- Long-term competitive advantage
- Requires planning and resources
- Examples: New platform, architecture
**Fill-Ins:** Low value, low effort
- Polish features
- Technical debt
- Do when capacity available
**Avoid:** Low value, high effort
- Waste of resources
- Say "no" clearly
### MoSCoW Method (Simpler)
**Must Have** (Non-negotiable for launch)
- Core functionality
- Without these: launch doesn't happen
- Usually 40% of work
**Should Have** (Important but deferrable)
- Significant value
- Could launch without but less attractive
- Usually 30% of work
**Could Have** (Nice to have)
- Polish, nice features
- Do if budget/time allows
- Usually 20% of work
**Won't Have** (Explicitly out of scope)
- Clearly deferred
- Helps stakeholders understand priorities
- Usually 10% of work
### Kano Model (Customer Satisfaction)
Three feature categories:
**Basic Factors** (Threshold)
- Expected to be present
- Absence = very dissatisfied
- Presence = satisfied (not delighted)
- Example: Core app functionality
- No competitive advantage
**Performance Factors** (Linear)
- More = more satisfaction
- Less = less satisfaction
- Competitive advantage
- Examples: Speed, customization options
- Scales continuously
**Delighters** (Excitement)
- Unexpected features
- Presence = delighted
- Absence = neutral
- High competitive advantage
- Examples: Surprising UX, hidden features
**Strategy:** Must haves first, then performance, then delighters for differentiation
## Roadmap Planning Process
### 12-Month Strategic Roadmap
**Structure:**
```
Q1 2025: Initiative Theme
├─ Goal: Business outcome
├─ Key Features: 2-3 major features
├─ Success Metrics: How you measure
└─ Resource: Team size needed
Q2 2025: Initiative Theme
Q3 2025: Initiative Theme
Q4 2025: Initiative Theme
```
### Quarterly Planning Process
**Timeline:** Plan month before quarter starts
**Week 1: Data Gathering**
- Customer feedback from last quarter
- Support tickets and issues
- Competitive landscape changes
- Team retrospective learnings
- Metrics review vs targets
**Week 2: Prioritization**
- Apply RICE scoring
- Consider strategic goals
- Assess resource availability
- Get engineering estimates
- Map dependencies
**Week 3: Planning**
- Break stories into sprints
- Allocate resources
- Identify risks
- Plan communication
**Week 4: Alignment & Launch**
- Present roadmap to stakeholders
- Engineering team commitment
- Executive buy-in
- All hands announcement
### Sprint Planning (Weekly)
**Monday: Planning**
- Pick features for sprint
- Break into user stories
- Estimate effort
- Assign owners
- Identify blockers
**Daily: Standups**
- What did you do?
- What's blocking you?
- What's next?
- 15 minutes max
**Friday: Retrospective**
- What went well?
- What needs improvement?
- Velocity tracking
- Plan adjustments for next sprint
## Resource Allocation
### Team Capacity Planning
```
Team Size: 5 engineers
Sprint Length: 2 weeks
Typical Capacity: 40-50 story points
Planning Reality:
- 50% unplanned work (bugs, interrupts)
- 20% operational tasks
- 30% feature development
Result: 50 points × 30% = 15 points for features
→ Add MUST have items first
→ Fill remaining capacity with SHOULD/COULD
```
### Resource Distribution
**Engineering Team:**
- 60-70% new features (roadmap)
- 20-30% bug fixes & optimization
- 10-15% technical debt
- 5-10% operations/support
**Product Manager:**
- 60% planning and discovery
- 20% communication and alignment
- 10% analysis and metrics
- 10% team leadership
**Design Team:**
- 70% feature design
- 15% design system maintenance
- 15% research and testing
## Dependencies & Sequencing
### Dependency Types
**Hard Dependency**
- Feature B can't start until Feature A done
- Example: Payment system before subscription plans
- Impacts timeline significantly
**Soft Dependency**
- Feature B better if Feature A done first
- Example: Mobile app after web fully tested
- Flexible on timing
**Cross-Team Dependency**
- Requires other team completion
- Longest lead time
- Must surface early
### Risk Management
**Common Risks:**
1. **Scope Creep**
- Mitigation: Say "no" often, defer to future
- Owner: Product Manager
- Plan: Weekly scope review
2. **Key Person Leaves**
- Mitigation: Cross-training, documentation
- Owner: Engineering Manager
- Plan: Onboarding process
3. **Timeline Pressure**
- Mitigation: Plan with buffer, manage expectations
- Owner: Product Manager
- Plan: Transparent communication
4. **Technical Challenges Emerge**
- Mitigation: Spike time, proof of concepts
- Owner: Engineering Lead
- Plan: 20% contingency in estimates
## Roadmap Communication
### For Executives
- Focus on business outcomes
- Show how each quarter builds toward vision
- Highlight competitive differentiation
- Revenue/growth impact
### For Engineering
- Detailed specs and requirements
- Technical complexity and dependencies
- Effort estimates and risks
- Resource needs
### For Customers
- User-focused benefits
- Timeline (quarter, not date)
- Most-requested features highlighted
- Under-promise, over-deliver
### For Sales
- "Coming soon" messaging
- What they can sell against
- Customer feedback incorporated
- Competitive differentiation
## Roadmap Review & Adjustment
**Weekly:** Sprint progress
**Monthly:** Quarterly progress vs plan
**Quarterly:** Full roadmap refresh
**Annually:** Strategic direction review
**Triggers for Reprioritization:**
- Major customer churn
- Competitive threat
- Market shift
- Unexpected technical blocker
- Resource availability change
## Troubleshooting
### Yaygın Hatalar & Çözümler
| Hata | Olası Sebep | Çözüm |
|------|-------------|-------|
| Roadmap sürekli kayıyor | Unrealistic estimates | 30% buffer ekle |
| Priority debates | Unclear criteria | RICE workshop |
| Resource contention | Over-commitment | Capacity planning |
| Dependencies blocking | Late identification | Sprint 0 mapping |
### Debug Checklist
```
[ ] RICE scoring consistent mi?
[ ] Capacity realistic mi? (20% buffer)
[ ] Dependencies mapped mi?
[ ] Stakeholder alignment var mı?
[ ] Risk mitigation planı var mı?
```
### Recovery Procedures
1. **Roadmap Slip** → Re-prioritize, cut scope
2. **Resource Conflict** → Trade-off matrix
3. **Priority Disagreement** → Data-driven RICE
---
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