Designing A/B Testing Experiments for Long-Term GrowthRemoved
Blog post from GrowthBook
Ronny Kohavi, a prominent figure in the field of experimentation, joined Luke Sonnet in a webinar to discuss best practices and common pitfalls in designing experiments that foster long-term growth. The conversation emphasized the importance of clearly defining success metrics and creating a robust framework for decision-making prior to experimentation, as many experiments yield unexpected results, with an industry success rate of approximately 10%. They highlighted the necessity of embracing a high failure rate as part of the learning process, stressing the need to shift organizational culture from celebrating merely shipping features to valuing the insights gained from experimentation. The discussion underscored the pitfalls of shipping features with flat results and the importance of aligning short-term metrics with long-term business goals. By establishing explicit shipping criteria and focusing on learning, organizations can enhance their decision-making processes and ultimately achieve more significant impacts through experimentation.
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