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[https://indiyoung.com/explanations-thinking-styles/] - - public:weinreich
behavior_change, design, how_to, research, target_audience - 5 | id:1489368 -

Thinking Styles are the archetypes that you would base characters on, like characters in TV episodes. (Try writing your scenarios like TV episodes, with constant characters.) Characters think, react, and made decisions based on their thinking style archetype. BUT they also switch thinking styles depending on context. For example, if you take a flight as a single traveler versus bringing a young child along–you’ll probably change your thinking style for that flight, including getting to the gate, boarding, and deplaning.

[https://journals.sagepub.com/doi/10.1177/1090198106297855?url_ver=Z39.88-2003&rfr_id=ori:rid:crossref.org&rfr_dat=cr_pub%20%200pubmed] - - public:weinreich
behavior_change, how_to, social_norms, strategy, target_audience - 5 | id:1461410 -

This article reviews 10 techniques used to identify opinion leaders to promote behavior change. Opinion leaders can act as gatekeepers for interventions, help change social norms, and accelerate behavior change. Few studies document the manner in which opinion leaders are identified, recruited, and trained to promote health. The authors categorize close to 200 studies that have studied or used opinion leaders to promote behavior change into 10 different methods. They present the advantages and disadvantages of the 10 opinion leader identification methods and provide sample instruments for each. Factors that might influence programs to select one or another method are then discussed, and the article closes with a discussion of combining and comparing methods.

[https://thedecisionlab.com/insights/technology/this-is-personal-the-dos-and-donts-of-personalization-in-tech/?utm_source=pocket_mylist] - - public:weinreich
behavior_change, how_to, target_audience, technology - 4 | id:958928 -

You may be wondering: If users want personalization, then what’s the problem? The problem is that personalization is a bit like walking a tightrope. A very thin line separates the “good” kind of personalization from the creepy kind. “I like it because it’s so similar to me” can easily become “I don’t like it because it’s eerily similar to me.” “This is relevant to me and saves me time and effort” can easily become “The algorithm is stereotyping me and that’s not cool.” This switch from good to bad is where user psychology comes in. Understanding the real reason why personalization works can help us understand why it does not work sometimes.

[https://www.behaviourworksaustralia.org/behaviour-change-101-series-five-steps-to-select-the-right-behaviour-to-target/?utm_source=Habit+Weekly&utm_campaign=1f1cda8506-EMAIL_CAMPAIGN_2020_02_02_02_55_COPY_01&utm_medium=email&utm_term=0_ab93d31fb5-1f1cda85] - - public:weinreich
design, how_to, strategy, target_audience, behavior_change - 5 | id:285232 -

At BehaviourWorks, we often prioritise behaviours using the Impact-Likelihood Matrix (figure below). In this approach, behaviours are prioritised by mapping them based on: The impact they have on the problem they are intended to address. The likelihood of the target audience adopting the behaviour.

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