The software maker was struggling with inefficient releases using a homegrown feature flagging system, significantly impacting conversion rates and slowing down the rate of innovation.
Envoy, a visitor and delivery management software maker, was struggling with their homegrown feature flagging system, which had been based on a modified Ruby gem library.
The system created a bottleneck as their business grew, meaning product managers had to manually compile a list of customer IDs for who gets exposed to certain features. Even setting up entitlements for beta testing was complicated, let alone pushing out into a phased production rollout. This added significant overhead and slowed innovation across the whole business.
The lack of dedicated tooling made this approach unscalable, with teams struggling to stay aligned while they waited for manual steps to be taken, causing delays and the need for regular interventions. This hindered the release of new features, making experimentation nearly impossible.
Envoy needed a new system where all teams could experiment and consistently measure the impact of changes against business metrics. To achieve these goals, Envoy assessed Split powered by Harness, finding that the feature management and experimentation platform allowed product managers to automate their rollout process and experimentation efforts without relying heavily on developers. By segmenting users and running controlled experiments, Envoy could test features and quickly learn whether their approach was driving the desired user behavior.
This change allowed the team to find a faster, more consistent release cadence, launching experiments every two weeks focused on specific business growth goals, such as increased conversion rates and entitlement upgrades.
As a result, Envoy was able to significantly increase conversion rates, optimize resource allocation, and scale its development efforts to meet the demands of its growing user base.
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