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Showing posts with label hypothesis. Show all posts
Showing posts with label hypothesis. Show all posts
Thursday, 21 December 2017

How did a Chemistry Graduate get into Online Testing?

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When people examine my CV, they are often intrigued by how a graduate specialising in chemistry transferred into web analytics, and into o...
Wednesday, 11 February 2015

Pitfalls of Online Optimisation and Testing 2: Spot the Difference

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The second pitfall in online optimisation that I would like to look at is why we obtain flat results - totally, completely flat results at...
Thursday, 14 August 2014

I am a power-tool A/B skeptic

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I have recently enjoyed reading Peter W Szabo's article entitled, " I am an A/B testing skeptical. "  Sure, it's a contro...
Wednesday, 16 July 2014

When to Quit Iterative Testing: Snakes and Ladders

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I have blogged a few times about iterative testing , the process of using one test result to design a better test and then repeating t...
Wednesday, 9 July 2014

Why Test Recipe KPIs are Vital

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Imagine a straightforward A/B test, between a "red" recipe and a "yellow" recipe.  There are different nuances and aspe...
2 comments:
Wednesday, 7 May 2014

Building Testing Program Momentum

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I have written previously about getting a testing program off the ground , and selling the idea of testing to management.  It's not eas...
Thursday, 9 January 2014

When Good Tests Fail

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Seth Godin, online usability expert recently stated simply that,  'The answer to the question, "What if I fail?" is "Yo...
Tuesday, 7 January 2014

The Key Questions in Online Testing

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As you begin the process of designing an online test, the first thing you'll need is a solid test hypothesis.  My previous post outline...
Wednesday, 24 July 2013

The Science of A Good Hypothesis

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Good testing requires many things:  good design, good execution, good planning.  Most important is a good idea - or a good hypothesis, but ...
2 comments:
Monday, 16 May 2011

Web Analytics: Experimenting to Test a Hypothesis

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Experimenting to Test a Hypothesis After my previous post on reporting, analysing, forecasting and testing , I thought I'd look in...
2 comments: