All examples for Feature Prioritization Framework Calculator

Quarterly Capacity-Constrained Roadmap

Prioritizing 4 features with a 16-week quarterly capacity constraint. Demonstrates capacity-aware roadmap planning, phase recommendations, and strategic deferral of high-risk features that don't fit within available time.

Input

What you provide to the skill

16 weeks capacity. Prioritize: onboarding (2000 users, medium, 85%, 3w), reporting (1500 users, high, 70%, 6w), integrations (800 users, massive, 50%, 10w), search (1200 users, low, 95%, 2w). Which to build this quarter?

Output

What the skill generates for you

Feature Prioritization Report

Q1 Roadmap Planning

Features Analyzed: 4
Framework: RICE Scoring (Reach x Impact x Confidence / Effort)
Capacity: 16 person-weeks


Executive Summary

Recommended Q1 Roadmap (fits 16-week capacity):

  1. Onboarding wizard (3 weeks - RICE: 567)
  2. Reporting (6 weeks - RICE: 525)
  3. Search (2 weeks - RICE: 285)

Total Effort: 11 weeks (leaves 5 weeks buffer or contingency)

Deferred to Q2+:

  • Integrations (RICE: 200) - High effort (10 weeks), low confidence (50%). Risk of consuming entire quarter for uncertain outcome.

Key Insight: All three recommended features can ship this quarter with healthy buffer. Integrations has the lowest RICE score and highest risk profile - defer until you can increase confidence through discovery or prototyping.


RICE Scores Ranked

Rank Feature RICE Reach Impact Confidence Effort Quadrant
1 Onboarding wizard 567 2,000 Medium (1.0) 85% 3 wks Fill-In
2 Reporting 525 1,500 High (3.0) 70% 6 wks Big Bet
3 Search 285 1,200 Low (0.5) 95% 2 wks Fill-In
4 Integrations 200 800 Massive (5.0) 50% 10 wks Big Bet

RICE Calculation Methodology

Formula: RICE = (Reach x Impact x Confidence) / Effort

Impact Scale Used:

  • Minimal = 0.25
  • Low = 0.5
  • Medium = 1.0
  • High = 3.0
  • Massive = 5.0

Confidence: Expressed as decimal (85% = 0.85)

Example Calculation (Onboarding wizard):

  • RICE = (2,000 x 1.0 x 0.85) / 3 = 1,700 / 3 = 567

Value vs. Effort Matrix

High Value | Big Bets | Quick Wins
| |
| * Reporting | (none)
| * Integrations |
| |
|---------------------------|---------------------------
| Time Sinks | Fill-Ins
| |
| (none) | * Onboarding wizard
| | * Search
| |
Low Value +---------------------------+---------------------------
High Effort Low Effort

Detailed Analysis by Quadrant

Big Bets (High Value, High Effort)

Reporting - RICE: 525

  • 1,500 users affected, high impact per user
  • 6 weeks effort, 70% confidence
  • Recommendation: BUILD THIS QUARTER. Strategic investment with strong RICE score. Start after onboarding wizard to maintain momentum.

Integrations - RICE: 200

  • Massive impact potential BUT only 50% confidence
  • 10 weeks effort = 62.5% of quarter capacity
  • Recommendation: DEFER TO Q2. Run a 2-week discovery spike first to validate approach and increase confidence from 50% to 75%+. At 75% confidence, RICE would jump to 300.

Fill-Ins (Lower Value, Low Effort)

Onboarding wizard - RICE: 567

  • Highest RICE score despite “fill-in” classification
  • 2,000 users (highest reach), medium impact, 85% confidence
  • Only 3 weeks effort
  • Recommendation: BUILD FIRST. Despite lower value classification, exceptional RICE score makes this the clear starting point. Quick win to build momentum.

Search - RICE: 285

  • 1,200 users, low impact per user, 95% confidence
  • Only 2 weeks effort
  • Recommendation: BUILD THIRD. Fits easily in remaining capacity. High confidence (95%) means low execution risk.

Recommended Roadmap

Phase 1 (Weeks 1-3): High RICE Quick Build

  • Onboarding wizard (3 wks) - RICE: 567

Phase 2 (Weeks 4-9): Strategic Investment

  • Reporting (6 wks) - RICE: 525

Phase 3 (Weeks 10-11): Polish & Ship

  • Search (2 wks) - RICE: 285

Remaining Capacity: 5 weeks buffer (31% contingency)

Use buffer for:

  • Overruns on reporting (most likely)
  • Integrations discovery spike (2 weeks)
  • Technical debt or bug fixes

Sensitivity Analysis

If reporting takes 9 weeks instead of 6 (50% overrun):

  • Cumulative effort: 14 weeks
  • Still fits capacity with 2-week buffer
  • Mitigation: Search can be deferred to Q2 if needed

If you increase integrations confidence to 75%:

  • RICE jumps from 200 to 300
  • Still ranks #4 (below search)
  • Still recommend deferring: 10 weeks is too large for Q1 with 3 other features

Close rankings to monitor:

  • Onboarding (567) vs. Reporting (525) = 8% difference
  • Small reach changes could flip order
  • Recommendation stands: Start with onboarding for momentum

Risk assessment:

  • Lowest risk: Search (95% confidence, 2 weeks)
  • Medium risk: Onboarding (85% confidence)
  • Higher risk: Reporting (70% confidence, 6 weeks)
  • Highest risk: Integrations (50% confidence, 10 weeks) - defer

Strategic Recommendations

Build This Quarter

  1. Onboarding wizard - Highest RICE, affects most users, builds momentum
  2. Reporting - High value strategic bet, strong RICE score
  3. Search - Low effort, high confidence, fits in remaining capacity

Defer to Q2

Integrations - Despite “massive” impact rating, 50% confidence and 10-week effort make this too risky for Q1. Run 2-week spike first to:

  • Validate technical approach
  • Confirm integration partner APIs
  • Increase confidence to 75%+
  • Re-score for Q2 with better data

Key Success Factors

  • Ship onboarding first to demonstrate early wins
  • Protect 5-week buffer for reporting overruns
  • Don’t commit to integrations without discovery spike
  • Track actuals vs. estimates to improve Q2 planning

Next Steps

  1. Validate estimates with engineering team (especially 6-week reporting estimate)
  2. Start onboarding wizard (Week 1) - highest RICE score
  3. Kick off integrations discovery spike in parallel (Weeks 1-2 with separate team member if capacity exists)
  4. Transition to reporting (Week 4) after onboarding ships
  5. Build search (Weeks 10-11) if capacity remains
  6. Review integrations spike results at end of Q1 for Q2 planning