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Graham McNicoll

Graham McNicoll 's articles
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Unlock more learning with every experiment
Experiments

Unlock more learning with every experiment

Graham McNicoll
August 27, 2026
AI Visual Editor: opening up experimentation for growth and marketing teams
5.0
AI
Releases
Experiments
Featured

AI Visual Editor: opening up experimentation for growth and marketing teams

Graham McNicoll
July 21, 2026
Rebuilding the GrowthBook AI Visual Editor
Experiments
Product Updates
AI
Featured

Rebuilding the GrowthBook AI Visual Editor

Graham McNicoll
July 8, 2026
How to A/B Test AI Features
Platform
Experiments
AI
Guides

How to A/B Test AI Features

Graham McNicoll
June 10, 2026
Chasing velocity in A/B testing: why more experiments can mean less learning
Experiments
Featured

Chasing velocity in A/B testing: why more experiments can mean less learning

Graham McNicoll
April 29, 2026
Dark patterns in A/B testing: how short-term optimization leads to product enshittification
Experiments

Dark patterns in A/B testing: how short-term optimization leads to product enshittification

Graham McNicoll
January 12, 2026
The Best A/B Testing Platforms of 2026: Features, Comparisons, and Expert Recommendations
Compare

The Best A/B Testing Platforms of 2026: Features, Comparisons, and Expert Recommendations

Graham McNicoll
January 4, 2026
7,000 GitHub stars and counting
News

7,000 GitHub stars and counting

Graham McNicoll
October 30, 2025
GrowthBook version 4.1
Releases
4.1
Product Updates

GrowthBook version 4.1

Graham McNicoll
September 9, 2025

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How to Make Your Feature Flags SOC 2 compliant
The engineering leader's guide to feature flags for regulated industries
How to Build a Culture of Experimentation
How Feature Flags Help With Progressive Delivery
GrowthBook 5.1: Learn faster with a new MCP server, Slack app, and contextual bandits
Introducing EU data residency for GrowthBook Cloud
A/B Testing with Feature Flags: Turning Every Rollout into an Experiment
What Samsung learned bringing B2C experimentation rigor to B2B
Even a loss is a win: Charlie Health's approach to failed experiments