Articles exploring cognitive bias through the lens of behavioral science and experimentation. Practical frameworks for growth leaders who measure in revenue, not vanity metrics.
6 articles
The mere exposure effect shows that familiarity breeds preference, not contempt. Learn how repeated exposure shapes product adoption and brand trust.
97 real A/B experiments tested behavioral science principles in the field. Here is what actually worked, what failed, and a prioritization framework for practitioners.
The cognitive bias where deep product knowledge makes it impossible to write from the user's perspective. Why the people who know a product best are systematically the worst at explaining it.
Dashboard design inadvertently reinforces confirmation bias by making favorable metrics prominent and burying contradictory signals. Understanding this cognitive trap is essential for teams that want data to drive decisions rather than validate them.
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.