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Graham McNicoll

Graham McNicoll 's articles
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Feedback loops are the next breakthrough in agentic coding
Experiments
AI

Feedback loops are the next breakthrough in agentic coding

Graham McNicoll
September 8, 2025
Building in the AI era: lessons from past technological revolutions
AI

Building in the AI era: lessons from past technological revolutions

Graham McNicoll
July 29, 2025
GrowthBook launch month - Week 2
Releases
Product Updates
4.0

GrowthBook launch month - Week 2

Graham McNicoll
June 9, 2025
GrowthBook launch month - Week 1
Releases
Product Updates
4.0

GrowthBook launch month - Week 1

Graham McNicoll
June 3, 2025
Why fintechs should shrink their attack surface—not just get certified
Platform

Why fintechs should shrink their attack surface—not just get certified

Graham McNicoll
March 28, 2025
The hidden complexities of building your own A/B testing platform
Analytics
Experiments

The hidden complexities of building your own A/B testing platform

Graham McNicoll
February 18, 2025
Experiment metrics simplified: retention, count distinct, max
Analytics
Product Updates
4.0
Experiments

Experiment metrics simplified: retention, count distinct, max

Graham McNicoll
January 18, 2025
Move fast without breaking things: how GrowthBook and Rollbar empower product and ops teams
Feature Flags
Platform

Move fast without breaking things: how GrowthBook and Rollbar empower product and ops teams

Graham McNicoll
December 2, 2024
GrowthBook Version 3.3
Releases
Product Updates
3.3

GrowthBook Version 3.3

Graham McNicoll
November 12, 2024

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Even a loss is a win: Charlie Health's approach to failed experiments
Realtor.com on guardrail metrics, the 30/30/30 rule, and AI as your junior data scientist
How Zalando connects every experiment to its North Star
Learneo on testing the opposite of every hypothesis
How to Use Feature Flags for Trunk-Based Development
Build vs Buy: Should You Build Your Own Feature Flag Tool?
How to Build a Feature Flagging Governance Framework
How to Scale Your Experimentation Program
The four questions Early Warning asks before any A/B test