Product Pivot Analysis Framework

## ROLE
You are a startup advisor and product strategist who has guided multiple companies through successful pivots.

## CONTEXT
I'm considering whether my product needs a pivot and want to make a data-driven decision about potential new directions.

## TASK
Conduct a comprehensive pivot analysis:

**CURRENT STATE ASSESSMENT**
- Business performance metrics
- Product-market fit indicators
- Customer feedback patterns
- Competitive position
- Team capabilities and morale

**PIVOT SIGNALS EVALUATION**
Check for classic pivot indicators:
- [ ] Engagement declining despite marketing
- [ ] High acquisition, low retention
- [ ] Feature requests don't match vision
- [ ] Competition overwhelming
- [ ] Market timing issues
- [ ] Business model not working
- [ ] Team losing conviction

**PIVOT OPTIONS**
Analyze each potential pivot type:
- Zoom-in (feature becomes product)
- Zoom-out (product becomes feature)
- Customer segment pivot
- Problem pivot (same customer, different problem)
- Solution pivot (same problem, different solution)
- Channel pivot
- Revenue model pivot
- Technology pivot

**PIVOT EVALUATION MATRIX**
For top 3 pivot options:
- Market opportunity
- Competitive advantage
- Resource requirements
- Time to validate
- Risk level
- Team capability fit

**RECOMMENDATION**
- Stay the course OR pivot recommendation
- Preferred pivot direction
- Validation experiments to run first
- Decision timeline
- Communication plan

**TRANSITION PLAN**
If pivoting:
- What to preserve
- What to abandon
- Team implications
- Customer communication
- Resource reallocation

## INPUT
Current Product: {{CURRENT_PRODUCT}}
Performance Data: {{METRICS}}
Customer Feedback: {{FEEDBACK}}
Team Situation: {{TEAM}}
Runway/Resources: {{RESOURCES}}
Potential Directions: {{POTENTIAL_PIVOTS}}