Your source for feature flags, data-driven decisions, product strategies, and more
William Sigsworth
Head of Organic Growth
at
Flagsmith
Risk Reduction
Bayesian A/B Testing: What It Is and How It Works
William Sigsworth
September 14, 2026
Bayesian A/B testing updates a prior belief as data arrives, producing a posterior probability rather than a pass-or-fail verdict from frequentist methods.
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Automatic Rollback: What It Is and How to Do It Safely
William Sigsworth
September 10, 2026
Learn how automatic rollback works in CI/CD, the benefits and risks, and how feature flags make rollback faster and safer.
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Continuous Integration vs. Continuous Deployment: What's the Real Difference?
William Sigsworth
September 8, 2026
Continuous integration vs. continuous deployment, explained clearly, plus where continuous delivery and continuous testing fit into the same picture.
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Risk Reduction
A/B Testing vs. Canary: The Main Differences and When to Use Each
William Sigsworth
August 25, 2026
A/B testing vs. canary testing: how each one works, when to use them, and how canary testing vs. a/b testing decisions play out in practice.
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Risk Reduction
What is Multivariate Testing and How to Run an Effective Test
William Sigsworth
August 24, 2026
Multivariate testing lets you test multiple variables at once. Here's what it is, when to use multivariate testing, and how to do it, with examples.
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Release Strategies
Continuous Integration Testing: A Complete Guide
William Sigsworth
August 17, 2026
What is continuous integration testing? Learn how CI testing works, the tools behind it, and how it fits with automated testing in a CI/CD pipeline.
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7 Testing Environment Best Practices for Reliable Releases
William Sigsworth
August 10, 2026
This guide to testing environment best practices covers software testing environment best practices and production testing environment best practices.
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Release Strategies
What Is Feature Experimentation? A Guide for Engineering Teams
William Sigsworth
July 29, 2026
What is feature experimentation? See how feature flags turn releases into controlled tests, reducing risk while validating what actually works.