Data-Driven Feature Prioritization System
1. Revenue Impact
5: Direct revenue increase >20%
4: Revenue increase 10-20%
3: Revenue increase 5-10%
2: Revenue increase 1-5%
1: No direct revenue impact
2. User Value
5: Solves critical pain point
4: Significant workflow improvement
3: Moderate user benefit
2: Minor convenience
1: Minimal user impact
3. Strategic Value
5: Major competitive advantage
4: Strategic market position
3: Moderate market impact
2: Minor strategic benefit
1: No strategic impact
4. Retention Impact
5: Significantly reduces churn
4: Moderately reduces churn
3: Slight churn impact
2: Indirect retention benefit
1: No retention impact
1. Development Time
5: >3 months
4: 1-3 months
3: 2-4 weeks
2: 1-2 weeks
1: <1 week
2. Technical Complexity
5: Complex system changes
4: Multiple service changes
3: Moderate complexity
2: Simple changes
1: Minor updates
3. Resource Requirements
5: Full team, external resources
4: Multiple team members
3: Two developers
2: One developer
1: Part-time resource
4. Maintenance Cost
5: High ongoing maintenance
4: Regular maintenance
3: Moderate maintenance
2: Minor maintenance
1: No maintenance needed
Priority Score = Impact Score / Effort Score
Impact Score = (Revenue + User Value + Strategic + Retention) / 4
Effort Score = (Dev Time + Complexity + Resources + Maintenance) / 4
Priority Categories:
High Priority: Score > 1.5
Medium Priority: Score 0.8-1.5
Low Priority: Score < 0.8
Feature Name:
[Feature Description]
Impact Assessment:
□ Revenue Impact: [1-5]
Evidence:
• Market research
• User feedback
• Competitor analysis
□ User Value: [1-5]
Evidence:
• User interviews
• Support tickets
• Usage data
□ Strategic Value: [1-5]
Evidence:
• Market position
• Competitive analysis
• Growth potential
□ Retention Impact: [1-5]
Evidence:
• Churn analysis
• User feedback
• Usage patterns
Effort Assessment:
□ Development Time: [1-5]
Breakdown:
• Technical scope
• Dependencies
• Testing requirements
□ Technical Complexity: [1-5]
Considerations:
• System impact
• Integration needs
• Technical debt
□ Resource Requirements: [1-5]
Needs:
• Team composition
• External resources
• Tools/services
□ Maintenance Cost: [1-5]
Factors:
• Ongoing support
• Updates needed
• Performance impact
Quadrant Analysis:
High Impact, Low Effort
• Quick wins
• Immediate implementation
• High priority
High Impact, High Effort
• Strategic projects
• Careful planning
• Phased implementation
Low Impact, Low Effort
• Nice to have
• Sprint fillers
• Opportunistic
Low Impact, High Effort
• Avoid
• Reassess need
• Postpone
1. Single Sign-On Integration
Impact:
• Revenue: 4 (Enterprise appeal)
• User Value: 4 (Convenience)
• Strategic: 4 (Enterprise ready)
• Retention: 3 (Security)
Impact Score: 3.75
Effort:
• Dev Time: 3 (3 weeks)
• Complexity: 4 (Security)
• Resources: 2 (One dev)
• Maintenance: 2 (Minor)
Effort Score: 2.75
Priority Score: 1.36 (Medium)
2. Bulk Import Feature
Impact:
• Revenue: 3 (Time saving)
• User Value: 5 (Critical need)
• Strategic: 3 (Competitive)
• Retention: 4 (Efficiency)
Impact Score: 3.75
Effort:
• Dev Time: 2 (2 weeks)
• Complexity: 2 (Standard)
• Resources: 2 (One dev)
• Maintenance: 1 (Minimal)
Effort Score: 1.75
Priority Score: 2.14 (High)