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| name | launch-planning |
| description | Use when planning a product or feature launch and preparing go-to-market execution. |
Plan and execute successful product launches using staged rollouts, feature flags, beta programs, and go-to-market strategy.
Announce at start: "I'm using the launch-planning skill to plan the launch for [feature/product]."
You MUST create a task for each of these items and complete them in order:
| Question | Example Answer |
|---|---|
| Primary success metric | Feature adopted by 30% of target users within 30 days |
| Secondary metrics | NPS increases 5 points, support tickets stay below 50/week |
| Counter metrics (guardrails) | Core flow conversion does not decrease, crash rate below 0.1% |
| Evaluation timeframe | 30 days post-launch, with 7/14/30-day checkpoints |
| Segment | Who | % of Users | When |
|---|---|---|---|
| Internal alpha | Company employees | 100% of employees | 4 weeks before launch |
| Closed beta | Invited power users (50) | <1% | 2–3 weeks before launch |
| Phase 1 rollout | New users (low risk) | 5% | Launch day |
| Phase 2 rollout | All users in primary region | 25% | Launch + 3 days |
| Phase 3 rollout | All users | 100% | Launch + 7 days |
User communication plan:
| Touchpoint | Timing | Channel | Message |
|---|---|---|---|
| Beta invite | 3 weeks before | "You're invited to try our new..." | |
| Coming soon | 1 week before | In-app banner | "A new way to [benefit] is coming" |
| Launch | Launch day | Email, blog, social | "Introducing [feature] — now you can..." |
| Follow-up | Launch + 7 days | In-app tooltip | "Have you tried [feature] yet?" |
| Element | Key Questions |
|---|---|
| Pricing | Free? Premium add-on? Included in existing plan? New tier? |
| Positioning | How do we describe this against competitors? One-sentence value prop? |
| Channels | In-app, email, blog, social, PR, paid ads, events? |
| Sales enablement | Do sales teams need training? Pitch decks? Battle cards? |
| Support readiness | Is support trained? Help docs ready? Expected ticket volume? |
| Legal/compliance | Regulatory approvals? Terms of service updates? Privacy review? |
Messaging framework: For [target audience] who [have this problem], [product/feature] is a [category] that [key benefit]. Unlike [alternatives], our product [unique differentiator].
4–8 Weeks Before:
1 Week Before:
| Type | Users | Purpose | Duration |
|---|---|---|---|
| Internal Alpha | Company employees | Dogfooding, catch obvious bugs | 1–2 weeks |
| Closed Beta | Invited customers (20–200) | Controlled testing, deep feedback | 2–4 weeks |
| Open Beta | Anyone who opts in | Scale testing, broad feedback | 2–8 weeks |
Feedback collection: in-app widget, NPS/CSAT surveys after key actions, 5–10 beta user interviews, analytics on actual behavior. Triage feedback as bug / UX issue / feature request / confusion.
Beta success criteria: X% of beta users try the feature, Y% continue using it after first try, critical bugs resolved, NPS at or above product average, support load within expected range, no showstopper issues.
| Strategy | How It Works | Best For | Risk |
|---|---|---|---|
| Phased/Staged | 1% → 5% → 25% → 50% → 100% | Most features | Low |
| Feature Flags | Toggle on/off per user segment | Everything (recommended) | Lowest |
| Canary | Route % of traffic to new version | Backend changes, API updates | Low |
| Blue-Green | Switch between two environments | Infrastructure changes | Low |
| Big Bang | Everyone at once | Urgent fixes, compliance | High |
Feature flag types: release toggle (who sees it), experiment toggle (A/B test), ops toggle (kill switch), permission toggle (entitlement-based access).
Staged rollout schedule:
| Phase | % of Users | Duration | Gate |
|---|---|---|---|
| 1 | 1% | 1–2 hours | Error rate < 0.1%, no critical bugs |
| 2 | 5% | 24 hours | Metrics stable, adoption positive |
| 3 | 25% | 48 hours | Support tickets within range |
| 4 | 50% | 24 hours | All systems nominal |
| 5 | 100% | — | Launch complete |
Launch Day: Deploy to production (or flip feature flags). Activate marketing: announcement email, blog post, social media, in-app messaging. War room active (monitor metrics, errors, support). Internal announcement sent. Sales/support notified.
Launch Week: Daily standup with launch team. Monitor dashboards continuously first 48 hours. Triage incoming bugs and feedback. Fix critical issues immediately. Adjust messaging if adoption is low. Escalate blockers to leadership.
| Checkpoint | Verify |
|---|---|
| 24-hour | Error rates normal? Core metrics stable? Support tickets within expected range? |
| 48-hour | Adoption tracking toward target? User feedback trending positive? Unexpected usage patterns? |
| 1-week | Which segments adopting fastest? Retention/repeat use healthy? UX issues emerging? |
| 2-week | Deep dive by persona/plan/region. Interview 5–10 adopters AND 5–10 non-adopters. |
| 30-day retrospective | Hit primary metric? What surprised us? What would we do differently? What's the next iteration? |
| 90-day health check | Feature being retained or was it novelty? Driving expected outcomes? Invest more, maintain, or deprecate? |
Roll back (immediate) if: error rate exceeds X%, core conversion drops >Y%, data loss/security incident, critical P0 bug affecting >Z% of users.
Consider deprecation if: adoption below X% at 30 days, feature retention below Y% at 60 days, maintenance cost exceeds value, user satisfaction significantly lower.
Use when analyzing competitors, understanding competitive landscape, conducting SWOT analysis, or positioning your product against alternatives.
Use when setting up or improving a continuous product discovery practice with weekly customer interviews.
Use when preparing design specifications for engineering handoff and quality assurance.
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