Building a hypothesis-driven culture of experimentation
A hypothesis-driven culture reframes software development as a series of changes, outcomes, and measurable results.
Split automatically pairs feature flags with event data from a wide range of sources. This enables users to develop a set of dimensions, powering feature-level analysis and better-informed future experiments.
A hypothesis-driven approach to software development
Hypothesis-driven development changes the typical software development approach to focus first on a desired outcome and a hypothesis on how to reach it.
Using a series of experiments to validate or disprove the hypothesis leads a development team closer to achieving their desired outcome, such as solving a certain user issue.
Guide to implementing hypothesis-driven development
Achieving hypothesis-driven development with an experimentation platform
Split empowers teams to transition rapidly to a culture of experimentation, combining feature flags with existing data pipelines in a full stack experimentation platform. Experiment with every new feature you build, automatically creating an A/B test and calculating the results.
Define and customize metrics to match your hypotheses. We’ll calculate all metrics for all of your experiments with built-in best practices that ensure your sample sizes, sample ratio, and review period are properly aligned to your experiment.
Make your software development process more innovative
Split brings together everything you need for hypothesis-driven development: feature flags, rich data sources, and automatic impact analysis.