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Experiments, stats, and decisions

Thinking on feature flags, A/B testing, and how engineering teams can ship with more confidence and less guesswork.

Product5 min read

Why Feature Flags Need Experiments — Not Just Rollouts

Shipping code behind a flag is safe. But shipping code that actually works for users requires measurement. Here's how FeatBit closes that loop.

FeatBit Team·April 1, 2026
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Engineering

Bayesian vs Frequentist A/B Testing: A Practical Guide for Engineering Teams

p-values and confidence intervals are standard, but they answer the wrong question. Here's why FeatBit uses Bayesian analysis — and when it matters.

March 18, 2026 · 8 min read
Product

The Release Decision Framework: Turning Experiment Data into Action

Data doesn't make decisions — people do. A framework for moving from experiment results to confident release calls.

March 5, 2026 · 6 min read

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