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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

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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.

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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.