Feature analytics
Measure the features worth protecting.
Track feature adoption and interactions beside technical health to understand which parts of your product deserve attention.
Name the capabilities people use
Attach feature context to important flows instead of treating every click as equally useful. Track the actions that represent value in your product.
Compare adoption with reliability
Read feature usage alongside errors and performance. Feature health puts each feature's adoption, error rate and P95 latency in one table, and Priorities flags the features almost nobody uses.
Keep instrumentation intentional
SDK capabilities differ by platform. Start with a few important journeys and stable feature names, then extend your instrumentation as questions become clearer.
Related
- Find the failure. Keep the context. Group exceptions into issues, inspect stack traces and breadcrumbs, and understand which users and releases are affected.
- Fix what matters to your users. Bring errors, performance and feature usage together to help prioritise engineering work by its effect on the product.
Bring your application into focus.
Tell us about your stack. We will help define the right beta setup for your first project.