Ensure that business KPIs and the reasons for conducting the tests, intended outcomes, are agreed by all stakeholders.
Identify hypotheses using different investigation methods such as analytics data, value framework gathering sessions, etc.
Ensure tests don't conflict with any other experiments being run across the business. Ensure you know when statistical significance will be reached and the necessary sample size needed.
Once tests are analysed and feedback internally, ensure that findings go back into the knowledge base to help identify new business strategies, testing hypothesis and influence the prioritization of follow up tests.
Our double diamond approach to experimentation:
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