Designing With Data: GoodUI Blog
When To Stop Your A/B Test - The Messy Reality Version
Towards Better Experiment Prioritization: With Less Guesswork And More Honesty
An A/B Test In Slow Motion: Before Your Experiment Becomes Significant
Insignificant Significance: Why Reverb.com Rejected A Winning A/B Test
How Normanrecords.com Replicated The 'No Coupon Fields' Pattern With A Twist
7 Experiments We Ran This Month - Jan 2018
How Time-Based Graphs Can Deceive You, And Why You Should Run Real Experiments
A Flawless Copy-Paste Test: How Glass.net Replicated The Canned Response Pattern
Better Experiments: Predict & Run Your Highest Impact A/B Tests First
Better Experiments: Prioritize A/B Tests To Maximize Your Win Rate
Better Experiments: Increase Testing Velocity
Getting A Higher A/B Test Win Rate Using Patterns: 2017 Q2 Performance Report
Beating Chance With Conversion Patterns: Our 2017 Q1 Win Rate Report
10 Answered Questions About A/B Testing
Overcoming Fears Of Your First Experiment
How To A/B Test Faster With Less Dev Effort
How We Prioritize Testing Ideas For Highest Winning Certainty Using Google Sheets
The Conversion Certainty Framework: Building Certainty From Multiple A/B Tests
How Certain Are You That Your Idea Will Win?
Simulating How Long To Run Your Test
Agile A/B Testing: Using Stop Rules To Minimize Losses & Time Wasted
Elements Of A Successful Long-Term Optimization Effort
Rebuilding Trust In Other People’s A/B Tests
Seeing & Using Chart Patterns In A/B Tests
Should You A/B Test Your Idea, Or Not?
The Best Shot Strategy: The Fastest Way To Higher Conversions
5 Key Resistances To Optimization
The Anatomy Of An A/B Test
What To A/B Test Next
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