Decision Process Pack: Sunset Feature X
1. Executive Summary
Decision Required: Whether to sunset Feature X by March 15.
Context: Support load attributed to Feature X is rising while user adoption is declining, creating an unfavorable cost-to-value ratio. Three options have been identified: maintain the status quo, invest in fixing the feature, or sunset it entirely. This pack structures the decision process, stakeholder alignment, and execution plan.
2. Problem Statement
Feature X is experiencing a divergence between operational cost and user value:
- Rising support load: Ticket volume related to Feature X has been increasing, consuming engineering and support bandwidth.
- Falling adoption: Active usage metrics are trending downward, suggesting the feature is not meeting user needs or is being replaced by alternatives.
- Deadline pressure: A March 15 deadline has been established, requiring a decision and initial execution steps well in advance.
3. Decision Framework
3.1 Decision Criteria
The following criteria should be used to evaluate each option:
| Criteria | Weight | Description |
|---|---|---|
| Customer Impact | High | Number of active users affected, revenue at risk, contractual obligations |
| Operational Cost | High | Current and projected support/engineering burden |
| Strategic Alignment | Medium | Fit with product roadmap and company direction |
| Technical Risk | Medium | Complexity of removal, dependencies, potential for downtime |
| Legal/Contractual | Medium | Obligations to customers, SLA implications |
| Revenue Impact | High | Direct and indirect revenue tied to the feature |
| Team Capacity | Low | Engineering resources required for each option |
3.2 Options Analysis
Option A: Keep As-Is
| Factor | Assessment |
|---|---|
| Pros | No migration effort; no customer disruption |
| Cons | Support costs continue to rise; engineering debt accumulates; declining adoption signals a failing feature |
| Cost Estimate | Ongoing: increasing support hours + maintenance engineering time |
| Risk | Medium-High — costs will likely escalate while value continues to decline |
| Recommendation | Not recommended unless external factors change |
Option B: Invest to Fix
| Factor | Assessment |
|---|---|
| Pros | Could revive adoption; addresses root causes of support load |
| Cons | Requires significant engineering investment with uncertain ROI; diverts resources from higher-priority work |
| Cost Estimate | One-time: engineering sprint(s) to redesign/fix + ongoing maintenance |
| Risk | High — investment may not reverse adoption decline; opportunity cost is significant |
| Recommendation | Only recommended if data shows a clear, fixable root cause and strong latent demand |
Option C: Sunset (Recommended)
| Factor | Assessment |
|---|---|
| Pros | Eliminates rising support costs; frees engineering capacity; simplifies product surface area |
| Cons | Disrupts remaining active users; requires migration planning and customer communication |
| Cost Estimate | One-time: migration support, communication effort, engineering removal work |
| Risk | Medium — manageable with proper planning and communication |
| Recommendation | Recommended given the cost/adoption trajectory |
4. Stakeholder Roles and Responsibilities
| Stakeholder | Role in Decision | Key Concerns | Action Items |
|---|---|---|---|
| PM | Decision owner; drives process and timeline | Product roadmap impact, user experience, adoption data | Compile usage data, lead decision meeting, own communication plan |
| Engineering | Technical feasibility and execution | Downtime risk, technical dependencies, removal complexity | Assess dependencies, plan zero-downtime removal, estimate effort |
| Support | Customer impact assessment | Ticket volume, customer sentiment, migration assistance | Provide ticket data, prepare customer-facing FAQ, staff migration support |
| Sales | Revenue and relationship impact | At-risk accounts, contractual obligations, pipeline impact | Identify top customers using Feature X, flag contractual issues, coordinate outreach |
| Legal | Compliance and contractual review | SLA obligations, ToS implications, notice requirements | Review contracts for Feature X commitments, advise on notice requirements |
5. Decision Meeting Agenda
Purpose: Reach a final go/no-go decision on sunsetting Feature X.
Duration: 60 minutes
- Context Setting (10 min) — PM presents usage data, support trends, cost analysis
- Options Review (15 min) — Walk through Options A, B, C with updated data
- Stakeholder Input (20 min) — Each stakeholder group shares concerns and constraints
- Decision (10 min) — Evaluate against criteria, reach consensus or escalate
- Next Steps (5 min) — Assign owners, confirm timeline
Pre-read Required: This decision pack, current usage analytics, support ticket analysis, list of top customers using Feature X.
6. Constraints and Non-Negotiables
- No downtime: The sunset process must not cause any service interruption. Feature removal must be executed via feature flags, gradual rollback, or background deprecation.
- 30-day customer notice: Top customers must be notified at least 30 days before the feature is removed. Given the March 15 deadline, notification must go out no later than February 13.
- Data preservation: Any customer data associated with Feature X must be exported, migrated, or archived before removal.
- Contractual compliance: No sunset action may violate existing customer contracts or SLAs.
7. Execution Plan (If Sunset Approved)
7.1 Timeline
| Date | Milestone | Owner |
|---|---|---|
| T-45 days (Jan 29) | Decision finalized and communicated internally | PM |
| T-40 days (Feb 3) | Engineering begins technical deprecation planning | Engineering |
| T-30 days (Feb 13) | Top customer notification sent | Sales + PM |
| T-30 days (Feb 13) | Public announcement (blog, changelog, in-app notice) | PM + Marketing |
| T-21 days (Feb 22) | Support FAQ and migration guides published | Support |
| T-14 days (Mar 1) | Feature flagged off for new users; existing users see deprecation banner | Engineering |
| T-7 days (Mar 8) | Final customer outreach for stragglers | Sales + Support |
| T-0 (Mar 15) | Feature fully disabled; API endpoints return deprecation response | Engineering |
| T+7 days (Mar 22) | Post-sunset review: support ticket analysis, customer feedback | PM + Support |
| T+30 days (Apr 14) | Code and infrastructure cleanup complete | Engineering |
7.2 Customer Communication Plan
Tier 1 — Top Customers (by revenue/usage):
- Personal outreach from account manager or Sales
- Offer 1:1 migration assistance
- Provide alternative solutions or workarounds
- Timeline: February 13
Tier 2 — Active Users:
- Email notification with migration guide
- In-app banner with countdown
- Self-service migration tools
- Timeline: February 13
Tier 3 — Inactive/Low-Usage:
- Email notification
- In-app notice
- Timeline: February 13
Communication Template (Email):
Subject: Important Update: Feature X Will Be Retired on March 15
Dear [Customer],
We are writing to let you know that Feature X will be retired on March 15, [Year]. This decision was made after careful evaluation of how we can best serve you and focus our resources on the features that deliver the most value.
What this means for you:
- Feature X will no longer be available after March 15.
- [Alternative solution / migration path].
- Your data will be [preserved/exported/archived — specify].
What you need to do:
- [Specific migration steps, if any].
- [Link to migration guide].
Need help?
- [Support contact / migration assistance offer].
We appreciate your understanding and are here to help make this transition as smooth as possible.
7.3 Technical Deprecation Plan
- Dependency audit: Map all systems, APIs, integrations, and internal tools that depend on Feature X.
- Feature flag: Implement a kill switch that can disable Feature X without deployment.
- Graceful degradation: API endpoints should return informative deprecation messages (HTTP 410 Gone) rather than errors.
- Data handling: Export or archive all user data associated with Feature X before removal.
- Monitoring: Set up alerts for any unexpected errors or traffic to deprecated endpoints post-sunset.
- Rollback plan: Maintain the ability to re-enable Feature X for 30 days post-sunset in case of unforeseen critical issues.
- Code cleanup: Schedule removal of Feature X code, database tables, and infrastructure after the rollback window closes.
8. Risk Register
| Risk | Likelihood | Impact | Mitigation |
|---|---|---|---|
| Customer churn from top accounts | Medium | High | Early personal outreach, migration assistance, alternative solutions |
| Contractual violation | Low | High | Legal review of all contracts mentioning Feature X before announcement |
| Unexpected technical dependencies | Medium | Medium | Thorough dependency audit; staged rollout with monitoring |
| Support surge during transition | High | Medium | Pre-built FAQ, migration guides, temporary staffing increase |
| Negative public perception | Medium | Medium | Transparent communication, clear rationale, generous timeline |
| Data loss during migration | Low | High | Backup all data before any changes; verify migration completeness |
9. Success Metrics
| Metric | Target | Measurement |
|---|---|---|
| Customer notification coverage | 100% of active users notified 30+ days prior | Email delivery + open tracking |
| Zero downtime | 0 minutes of unplanned downtime | Monitoring/uptime tools |
| Support ticket resolution | 90% of sunset-related tickets resolved within 48 hours | Support dashboard |
| Customer retention | Less than 2% churn attributable to sunset | CRM tracking at T+90 days |
| Engineering time recovered | Measurable reduction in maintenance hours | Sprint tracking at T+60 days |
| Code cleanup complete | All Feature X code removed | Engineering audit at T+30 days |
10. Decision Record
Date: [To be filled after decision meeting]
Decision: [Keep as-is / Invest to fix / Sunset]
Rationale: [Summary of key factors that drove the decision]
Dissenting Views: [Any stakeholder objections and how they were addressed]
Approved By: [Names and roles]
Review Date: [Date for post-decision review, recommended T+30 days]
Appendices
Appendix A: Data to Gather Before Decision Meeting
- Feature X monthly active users (trailing 12 months)
- Feature X support ticket volume and trends (trailing 12 months)
- Engineering hours spent on Feature X maintenance (trailing 6 months)
- Revenue directly tied to Feature X (if any)
- List of top 20 customers by Feature X usage
- Contractual obligations mentioning Feature X
- Technical dependency map
- Competitive landscape — do competitors offer equivalent functionality?
Appendix B: Escalation Path
If stakeholders cannot reach consensus:
- PM escalates to VP Product with a written summary of positions
- VP Product makes the final call within 48 hours
- Decision is documented and communicated to all stakeholders
Appendix C: Post-Sunset Checklist
- All customer notifications sent and confirmed
- Feature disabled in production
- API endpoints returning deprecation responses
- Customer data exported/archived
- Support FAQ published and support team briefed
- Monitoring in place for deprecated endpoints
- Rollback capability verified
- Internal documentation updated
- Code cleanup scheduled
- Post-mortem/retrospective scheduled