Fast Experimentation using LD
What do you like best about the product?
As Head of Data Science at Laurel, I love how easy it is to set up and manage A/B tests with LaunchDarkly. It’s enabled our team to quickly spin up experiments, evaluate impact, and scale what works — all without heavy engineering lift.
What do you dislike about the product?
It’s not easy to define custom metrics, especially when the denominator isn’t a simple user count. For example, setting up ratio-based metrics tied to events or domain-specific units (like entries or sessions) takes extra work and isn’t well-documented.
What problems is the product solving and how is that benefiting you?
LaunchDarkly helps us safely roll out and experiment with AI and product features without requiring engineering deploys for every variation. It’s been critical for running A/B tests, targeting cohorts, and validating impact quickly — all of which improves our team’s velocity and decision-making.
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