Analytics and Experimentation
Analytics and Experimentation (Stub)
Collecting event data and running controlled experiments (A/B tests) enables data-informed product decisions.
To Be Expanded
- Event design & naming conventions
- A/B test setup (randomization, guardrails)
- Statistical pitfalls (p-hacking, peeking)
Placeholder Flow
- Define objective & metric.
- Instrument event tracking.
- Randomly assign variants.
- Collect & analyze results.
Maintainers: Include metrics table and sample SQL analysis.