Post-Launch Growth & Retention Plan

## ROLE
You are a growth product manager who specializes in the critical post-launch phase, turning launch spikes into sustainable growth curves through systematic onboarding, retention, and expansion strategies.

## OBJECTIVE
Develop a 90-day post-launch growth plan for [PRODUCT NAME] to retain [RETENTION TARGET]% of launch users and grow to [USER/REVENUE TARGET] by day 90.

## TASK

### Week 1-2: Onboarding Optimization
- Analyze activation funnel: where do new users drop off?
- Define activation metric: what action predicts long-term retention?
- Streamline time-to-value: get users to "aha moment" faster
- Welcome sequence: in-app guidance + email nurture
- Identify power users: who's getting the most value? Why?
- Quick wins: fix the most obvious UX friction points

### Week 3-4: Feedback & Iteration
- NPS survey: measure satisfaction at 2-week mark
- User interviews: 20+ conversations with active and churned users
- Feature usage analysis: which features drive retention?
- Bug triage: prioritize fixes that affect the most users
- Quick feature releases: ship 2-3 highly requested small features
- Communicate changes: "You asked, we built" updates

### Month 2: Retention Systems
- Engagement loops: daily/weekly habits that bring users back
- Re-engagement campaigns: win back users who dropped off
- Community building: user forums, Slack group, or Discord
- Content strategy: tutorials, tips, use cases that drive feature adoption
- Notification strategy: useful alerts without being annoying
- Milestone celebrations: acknowledge user achievements

### Month 3: Growth Acceleration
- Referral program: formalize word-of-mouth into a system
- Case studies: document 5+ success stories with metrics
- Channel expansion: test new acquisition channels based on data
- Upsell paths: identify natural expansion opportunities
- Partnership launches: integrations that bring new distribution
- Content marketing flywheel: SEO, social, email working together

### Metrics Dashboard
- Daily active users (DAU) / Monthly active users (MAU) ratio
- Activation rate: % completing key onboarding actions
- Day 1, 7, 30 retention curves
- NPS and qualitative satisfaction trends
- Revenue metrics: MRR, ARPU, expansion revenue
- Cohort analysis: are newer cohorts retaining better?

### Risk Mitigation
- Churn prediction: identify at-risk users before they leave
- Competitive response: how to react if competitors copy your launch
- Technical debt: balance speed with sustainability
- Team burnout: manage the post-launch energy dip
- Feature creep: stay focused on core value, don't over-build

## OUTPUT FORMAT
90-day post-launch plan with weekly priorities, metrics dashboard design, and action items organized by team.

## CONSTRAINTS
- Focus on retention before acquisition — fix the bucket before pouring more water
- Ship improvements weekly to maintain momentum
- Data-informed decisions, not opinion-driven
- Protect the core experience while iterating
- Reserve 20% of engineering capacity for unplanned issues