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[https://uxplanet.org/designing-emotional-ui-b11fa0fda5c] - - public:weinreich
design, product, technology - 3 | id:310211 -

Pyramid of Users' Needs - Aarron Walter, the author of Designing for Emotion, used a Maslow’s hierarchy of needs to create the pyramid of user needs. At the bottom of this pyramid, you can see the baseline characteristic of any product — functionality (does this product work?). Next comes reliability (is this product reliable?), usability (is this product easy to use?), and, finally, pleasurability (does this product makes us feel good when we use it?). Pleasurable products connect with users on an emotional level, and this feature makes them want to use it more and more.

[https://www.cambridge.org/core/journals/behavioural-public-policy/article/personalized-nudging/E854A04226DEA94B623ECA2ACF64C8D0/core-reader] - - public:weinreich
behavior_change, design, target_audience - 3 | id:309764 -

Nudges have been critiqued for being too blunt of a tool. For instance, a retirement savings default may be helpful for a group of employees on average, but subgroups, say under-savers or over-savers, might be helped or harmed by this one-size-fits-all approach. As such, there have been calls to develop a more personalized approach to nudging (see here in our collection: “Imagining the Next Decade of Behavioral Science”). This paper outlines two dimensions that behavioral scientists could consider when designing personalized nudges: choice personalization and delivery personalization. Think of choice personalization as “personalization within nudges”—the method of nudge has been set (say, a default) but is tailored to specific individuals (different default leves of retirement contributions, for those over-savers and under-savers). Think of delivery personalization as “personalization as across nudges”—understanding the most effective method to nudge a certain individual. Personalizing nudges does come with data privacy and legal concerns, but these can be overcome, the paper argues.

[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
behavior_change, design, how_to, strategy, target_audience - 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.

[https://www.cambridge.org/core/journals/behavioural-public-policy/article/behavioural-and-social-sciences-to-enhance-the-efficacy-of-health-promotion-interventions-redesigning-the-role-of-professionals-and-people/01655ECBEE06104DF2D35C61E2A62BC3/core-read] - - public:weinreich
behavior_change, design, health_communication, sample_campaigns - 4 | id:283092 -

applying behavioral science to health promotion

[https://measured.design/] - - public:weinreich
behavior_change, design, sample_campaigns, strategy - 4 | id:283028 -

MeasureD is a resource for anyone wanting to understand, measure, and scale the impact of social design in order to strengthen society and create the conditions for equitable human health. It is intended to represent the highest level of practice and help organizations and practitioners understand where, when, and how social design is most effective. includes case studies

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