Accelerate Innovation, Maximize Impact
Innovation is an iterative process that requires speed, control, and data to deliver impactful features without disrupting the customer experience.
Enterprises on Split employ the Feature Delivery Lifecycle to accelerate innovation, leveraging feature flags and experimentation for faster development, safer releases, and maximum business impact.
Measure & Maximize Business Impact
Split experimentation transforms your feature flags and data into actionable insights. Test and measure the impact of features on key performance and business metrics, and make data-driven decisions on what to iterate, release, or retire, and where to innovate next.
Enrich
Ingest customer and performance data from any source and join with feature flag data to calculate key metrics. Export feature flag data to a preferred analytics tool or data warehouse for deeper analysis.
Experiment & Monitor
Test new features against a control and/or variations on real users while actively monitoring for performance degradation.
Learn & Decide
Review metrics results to determine which feature drove the most positive impact and decide whether to continue the lifecycle with a new iteration or end the lifecycle by rolling out or retiring the feature for 100% of users.
Ensure Security & Compliance At Every Step
Safely scale your users, feature flags, experiments, and change requests on Split all while ensuring enterprise-grade security and compliance.
Manage + Govern
Require peer review and approval before code changes in production take effect. Maintain separation across teams in your organization with environments, permissions, and SSO.
The Future of Feature Delivery
Hear from Split CEO, Brian Bell, on how enterprises can deliver impactful products faster and safer by employing the Feature Delivery Lifecycle.
MEETS ENTERPRISES WHEREVER THEY ARE
Employ part or all of the Feature Delivery Lifecycle to achieve your goals, at any scale. Get started on Split today with a free account or schedule a demo with us to learn more.