Release Planning
Table of Contents
Overview
Release planning ensures coordinated deployment of features to production with minimal risk, clear communication, and established rollback procedures.
When to Use
- Planning major feature releases
- Coordinating multi-system deployments
- Managing database migrations
- Rolling out infrastructure changes
- Planning go-live strategies
- Coordinating customer communication
- Preparing for high-traffic periods
Quick Start
Minimal working example:
Release Plan:
Release: v2.5.0 - Customer Portal Redesign
Target Release Date: February 15, 2025
Status: Planning
Owner: Product Manager
---
## Executive Summary
This release delivers the redesigned customer portal with improved
UX, performance, and mobile experience. Includes database optimization
and infrastructure scaling.
Business Impact:
- 25% improvement in user conversion
- 40% faster load times
- Mobile-first experience
- Estimated $500K revenue impact
---
## Release Contents
// ... (see reference guides for full implementation)
Reference Guides
Detailed implementations in the references/ directory:
| Guide | Contents |
|---|---|
| Release Checklist | Release Checklist |
| Versioning Strategy | Versioning Strategy |
| Rollout & Monitoring | Rollout & Monitoring |
Best Practices
✅ DO
- Plan releases with clear timeline and milestones
- Communicate early and often with stakeholders
- Test thoroughly in staging environment
- Use phased rollout to reduce risk
- Monitor metrics continuously during rollout
- Have clear rollback procedure
- Document all changes and decisions
- Conduct post-release review
- Include support team in planning
- Plan releases during lower-traffic periods
❌ DON'T
- Release without adequate testing
- Deploy Friday afternoon
- Release without monitoring in place
- Skip UAT/acceptance testing
- Release all major changes together
- Deploy without rollback plan
- Surprise customers with breaking changes
- Release without support team readiness
- Make unreviewed last-minute changes
- Ignore performance or error metrics