LaunchDarkly × World Kinect
400% increase in releases (~640 releases/month)
Siloed, bottlenecked deployments to unified, self-serve release velocity
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The case study earns its headline number with a specific, attributable metric: 400% more releases, quantified at roughly 640 per month. It also layers in a concrete before-state, six siloed in-house tools, and explains the mechanism clearly enough that a reader could replicate the approach via feature flag consolidation and trunk-based development. The coin-flip between Breakthrough and Efficiency is real since release count going up and pre-production time going down are both prominent, but the headline leads with the volume increase so Breakthrough wins.
The tight before/after snapshot table at the top of the page lets readers self-qualify in seconds before committing to the full narrative, a format worth copying for any technical case study.
Click to enlarge ↗ This is editorial commentary and curation. The case study, screenshot, and all metrics are LaunchDarkly's published work; we link to the source and lead with our analysis.