A or B testing does not tell you WHY people make decisions Find out what you should do instead.

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A or B testing does not tell you WHY people make decisions Find out what you should do instead.

A/B testing is a common practice in the software industry for discovering which design customers prefer. A/B tests are easy and fast to set up, and when you are refining a mature design they can be useful. But the truth is that an A/B test tells you only that people prefer one design over another...it doesn't explain WHY people prefer one design over the other, and it doesn't mean that EITHER design is any good.

When you are innovating and bringing a new idea to life, there's a better way to go. Instead of collecting large sample of data with a simple A/B test, do a small number of in-depth studies around more carefully thought-out designed experiments.

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Tags:
What does a B testing stand for
What can you test with a B testing
A Refresher on A/B Testing
How to Do A/B Testing
Beginners Guide To AB Testing
Improving Quality of Decisions Through A/B Tests
How to Analyze A/B Test Results and Statistical Significance
What is a B testing and how does it work
A or B testing does not tell you WHY people make decisions Find out what you should do instead.
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