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Using force variation parameters as an effective way to QA your experiment before setting it live

Lyndsey 07-29-15

Using force variation parameters as an effective way to QA your experiment before setting it live

[ Edited ]

Force variation parameters is fast and effective methods for QAing an experiment. Also check out my post on using a Test Cookie as an audience condition for an alternate. 

 

Force variation parameters allow you to view a specific variation of an experiment. The experiment does not need to be live.

 

You’ll need to enable this feature by navigating to Settings->Privacy within the project dashboard and unchecking “Disable the force variation parameter”. If it is already unchecked, then no need to do anything.

 

Once enabled, you can then use the following syntax to force any variation of an experiment in your web browser:

 

For  A/B TESTS:

?optimizely_xExperimentID=VariationIndex   

 

For Multivariate TESTS: 

?optimizely_xExperimentID=Section1VariationIndex_Section2VariationIndex  

 

Example:

 

example.com?optimizely_x123456789=1    will render the first variation of an A/B test

example.com?optimizely_x123456789=1_0 will render variation 1 of the first section and the original variation of the 2nd section

 

Force variation parameters override all targeting conditions, including audience and url. It does not override activation mode.

 

Let me know how this works for you and if you have any other methods of QA

Thanks,
Lyndsey
Technical Support Engineer
Optimizely
Optimizely