Key Performance Indicator (KPI’s): This will help compare versions, looking for things like User Engagement, Usage rates for features, stability, conversion metrics, performance metrics.

Collect consistently tracked even data, use version numbers for records, ensure valid data coming in with a data validation layer (look into that)

incorporate feature lifecycles, so at a glance you can determine what kind of impacts they had based on data from the period it was implemented

Implement A/B testing for gradual feature rollouts

A/B testing is your safety net for new features. It's a powerful tool for version control:

  1. Use cohort analysis: Compare user groups exposed to different versions.
  2. Implement feature flags: This allows you to quickly enable or disable features without a new app release. It also allows for smoother transitions and backwards compatibility in your analytics.
  3. Monitor key metrics: Track how new features affect core KPIs. Start with a small percentage of users (e.g., 5-10%) for new feature rollouts. Gradually increase as you confirm positive impacts on your KPIs.

Gradual rollouts minimize risk. They allow you to gather data and user feedback before committing to a full release, saving you from potential large-scale failures.

Semantic Versioning 2.0.0

Summary

Given a version number MAJOR.MINOR.PATCH, increment the:

  1. MAJOR version when you make incompatible API changes
  2. MINOR version when you add functionality in a backward compatible manner
  3. PATCH version when you make backward compatible bug fixes

Additional labels for pre-release and build metadata are available as extensions to the MAJOR.MINOR.PATCH format.

Alternative to Semantic Versioning: