Launches are high-stakes moments for product managers (PMs), but understanding how a new product or feature is performing can be difficult. Teams may lack the instrumentation they need to track performance, or they may miss defects that affect specific user segments during QA. When a launch underperforms, PMs can spend days determining whether the problem is the feature itself or how it’s being measured, leaving analysts, engineers, and designers needing to rebuild what should have existed on day one.
Launches in Datadog Product Analytics connects launch planning, instrumentation, experimentation, user experience analysis, and reporting together in a single, connected workflow. Starting with a product brief and the Datadog Feature Flag, teams can define what they need to measure before release and monitor the most important user signals throughout the rollout.
In this post, we’ll show you how you can use Launches to:
Plan and instrument a launch before it shipsCatch broken experiences across real user segmentsValidate experiments as you roll outBring launch signals into one placeKeep measuring after the rollout
Plan and instrument a launch before it ships
