- Flags: Control experiences using feature flags.
- Events: Collect data from your users and store it in a data warehouse.
- Metrics: Define and compute metrics.
- Stats: Perform statistical testing and analysis.
- Workflows: Implement workflows to orchestrate experimentation designs.
Highlights of the Confidence APIs
- Extensible: Confidence is by design extensible. You can build your own experimentation platform on top of Confidence by using the APIs. Leverage the parts of Confidence that makes sense for you, and build the rest yourself.
- Warehouse-centric: Confidence doesn’t store any of your users data. Instead it connects to your data warehouse to write events or compute metrics for analysis. This allows you to use your existing data infrastructure and tools for experimentation, and minimizes the risk for data breaches.
- Usage-based pricing: You only pay for what you use. The price you pay depends on what features you use and how much you consume. You can start small and scale up as your experimentation program grows, without having to worry about upfront costs.
- Built for scale: Confidence supports large-scale experimentation programs, helping you with coordination and planning of experiments across teams and products. Use it with hundreds of teams to run thousands of experiments.