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[https://behavioralscientist.org/last-mile-lawyer-economist-a-marketer-behavioral-scientist-go-into-a-bar/] - - public:weinreich
behavior_change, design, policy, theory - 4 | id:177179 -

The table below provides guidance for thinking through when specific policy tools are useful and when choice architecture or nudging can be used to complement or enhance a particular strategy.

[https://www.liveworkstudio.com/monthly-magazines/nudges-arent-the-holy-grail-of-behaviour-change/] - - public:weinreich
behavior_change, design - 2 | id:177127 -

Sometimes it’s necessary to override the subconscious, and switch customers to a conscious state of having to make a decision. Rational override interventions prompt moments of reflection and stimulate customers to be active, aware and engaged. Although friction is generally perceived as a barrier, some situations require a micro moment of friction, carefully built-in at the right moment.

[https://uxdesign.cc/user-research-is-more-the-merrier-9ee4cfe46c7a?ref=uxdesignweekly] - - public:weinreich
design, qualitative, quantitative, research, target_audience - 5 | id:177113 -

Small, medium or large — what sample size of users fits your study is a composite question. The magic number of 5 users may work magic in some studies while in some it may not. It depends on the constraints put on by project requirements, assumptions about problem discoverability and implications to the design process. Assess these factors to determine the number of users for your study: What’s the nature and scope of research — is it exploratory or validatory? Who and what kind of users are you planning to study? What’s the budget and time to finish the study? Does your research involve presenting statistically significant numbers or inferring behavioural estimates for the problem statement?

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