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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://hbr.org/2018/07/if-you-say-something-is-likely-how-likely-do-people-think-it-is] - - public:weinreich
health_communication, quantitative - 2 | id:177131 -

The next time you find yourself stating that a deal or other business outcome is “unlikely” or, alternatively, is “virtually certain,” stop yourself and ask: What percentage chance, in what time period, would I put on this outcome? Frame your prediction that way, and it’ll be clear to both yourself and others where you truly stand.

[http://www.impactbydesigninc.org/diffusion-of-innovation] - - public:weinreich
behavior_change, how_to, organization, social_change, theory - 5 | id:177130 -

If you or a small group of colleagues are the ones trying to bring a new practice to your organization, you are an innovator. You are inspired by a new practice you discovered, but will likely face problems getting it accepted. Consider that the challenges you experience when spreading a new practice are totally normal. It doesn’t mean you are failing, should stop trying, or there is anything “wrong” with staff and colleagues. It just means that your role is to plan how to motivate other members of the system

[https://www.inc.com/jessica-stillman/a-behavioral-scientist-explains-how-to-deal-with-people-who-believe-things-that-are-just-not-true.html?cid=sf01001&sr_share=twitter] - - public:weinreich
behavior_change, health_communication - 2 | id:177128 -

You need to show the other party that his beliefs are actually in conflict with his own values and goals, all without making him defensive. It sounds like a tall order, but Tsipurksy insists it is possible. Offering concrete examples of people who have changed their minds can help. So can suggesting that a person's previous opinion was understandable given the information he or she had at the time.

[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://www.genesis-analytics.com/uploads//downloads/Health-2018-BMC_Public_Health.pdf] - - public:weinreich
behavior_change, HIV_AIDS, quantitative, research - 4 | id:177126 -

Typically, cascades are based on HIV treatment moni-toring data, which focus on getting people living with HIVto a point of viral suppression. HIV prevention cascadesfocus on the steps required to prevent HIV infection andsuccessfully implement HIV prevention programs. Preven-tion cascades include demand-side interventions that focuson increasing awareness, acceptability and uptake of pre-vention interventions, supply-side interventions that makeprevention interventions more accessible and available, andadherence interventions thatsupport ongoing adoption andcompliance with prevention behaviours or products...

[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?

[https://www.qualtrics.com/events/identifying-bad-survey-respondents-attention-check-questions/?ty=mktowr-thank-you&aliId=6002] - - public:weinreich
quantitative, research - 2 | id:168142 -

Lesson: Use "commitment" question instead of attention check questions.

[https://www.axios.com/technical-experts-peers-considered-most-credible-on-social-media-1529288419-5a791be6-9ece-4d7b-9146-196e523c1bd4.html?utm_source=linkedin&utm_medium=lisocialshare&utm_campaign=organic] - - public:weinreich
health_communication, social_media, target_audience - 3 | id:167049 -

Technical experts and their peers are considered the most credible for information on social media, according to the latest 2018 Edelman Trust Barometer survey. By comparison, celebrities, corporate executives and journalists are considered far less credible.

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