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AI Product Spec

Create full product requirements documents ready for engineering handoff.

Try with this prompt

"Write a PRD for a mobile app that helps users track daily habits"

What you get

  • āœ“Problem statement and opportunity sizing
  • āœ“User personas and jobs-to-be-done
  • āœ“Detailed user stories with acceptance criteria
  • āœ“Technical constraints and non-functional requirements
  • āœ“Success metrics and KPIs

Use cases

New feature developmentMVP planningEngineering sprint kickoffsStakeholder alignment

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Example Output

Generated by AI Ā· For illustration only

Problem Statement

Users struggle to maintain consistent daily habits due to a lack of accountability, motivation, and easy progress tracking. Existing apps are either too complex (cluttered UX) or too simple (no behavioral science integration). Opportunity: 68M+ searches/month for "habit tracking" indicate strong unmet demand.

User Stories

• As a new user, I want to onboard in < 2 minutes so I can start tracking immediately • As a returning user, I want to see my streak and completion rate so I feel motivated • As a power user, I want to create habit chains so I can build compound routines • As a user who missed a day, I want a "get back on track" nudge so I don't quit entirely

Acceptance Criteria

Habit Creation: User can add a habit in ≤ 3 taps. Tracking: Daily check-in takes < 5 seconds. Reminders: Push notifications delivered within 60s of scheduled time. Streaks: Streak counter updates within 500ms of check-in. Offline: Full functionality without internet connection.

Success Metrics

D7 Retention: > 35% | D30 Retention: > 20% | Daily Active Users / Monthly Active Users: > 40% | Average habits tracked per active user: > 2.5 | NPS Score: > 45

Conclusion & Recommendations

Based on the analysis above, the following recommendations emerge for practitioners looking to apply these insights... The evidence suggests a clear path forward that balances innovation with practical constraints...

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