Articles exploring cognitive bias through the lens of behavioral science and experimentation. Practical frameworks for growth leaders who measure in revenue, not vanity metrics.
3 articles
Dashboard design choices like default date ranges, metric ordering, and visualization types silently reinforce confirmation bias, causing teams to interpret data in ways that support their pre-existing beliefs.
Humans are hardwired to detect patterns in random data, making A/B test interpretation one of the most cognitively dangerous activities in product development.
Anchoring bias silently distorts A/B test results by making the control variant the psychological reference point against which all alternatives are judged, reshaping how users perceive value and make decisions.