Are we doing this right?
summary
LeadDev and Harness publish a 500‑respondent survey that claims 90% use experimentation while 10% do nothing, with a top 1% at full maturity and about 35% ad hoc relying on eyeballing or hauling in a data scientist. Findings show optimization and safety outrank speed, feature flags add engineering overhead, and maturity correlates to repeatable pipelines and measurable risk mitigation rather than anecdote.
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