Best Practices
- Constructing a Hypothesis
- Using dependencies to isolate experiments
- Interpreting inconclusive results
- Successfully experiment with anonymous and logged-in users
- Running an A/A test
- Using the metric details and trends data
- Choosing your degradation threshold for alerting
- Naming event types
- Metric filtering
- Metric capping
- Reviewing metrics during an experiment
- Best practices for full stack experimentation