Case Study: Vida Health accelerates product delivery and reduces release risk with Split feature flags

Vida Health accelerates the pace of product delivery at lower risk with Split feature flags

Vida Health is a digital health company that delivers personalized behavioral and therapeutic programs. Facing a slow, manual, database-backed feature-flag process that required engineers to toggle flags per user (with no randomization) and created release risk and operational drag, Vida needed a scalable way to run phased rollouts, test in production, and accelerate mobile delivery without increasing failures.

Vida adopted Split’s feature flags and experimentation platform to wrap every code change, run consistent A/B tests, and phase rollouts with easy rollbacks and Slack visibility. The move enabled weekly mobile releases (up from monthly), a 30% increase in features per release, instantaneous experiment setup and analysis that freed data scientists for model work, and reliable production testing with plans to pipe Split data into BigQuery for broader analytics.

Vida Health

Russell Melick

Engineering Manager