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[https://www.nngroup.com/articles/remote-workshop-fail/?utm_source=Alertbox&utm_campaign=2d7739a59d-UXbenchmark_RemoteWorkshops_ProgrInd_20200914&utm_medium=email&utm_term=0_7f29a2b335-2d7739a59d-24361717] - - public:weinreich
conference, consulting, design - 3 | id:376140 -

[https://medium.com/@dastillman/facilitation-means-designing-conversations-24bac966076e] - - public:weinreich
conference, consulting, creativity, design, management, training - 6 | id:350958 -

5Es of Experience Design: ENTICE, ENTER, ENGAGE, EXIT, EXTEND When you design a meeting as an experience, keep the 5Es framework as 5 “phases” of the experience in mind. Ask yourself: How might I entice people to join the meeting, how to get them to enter the conversation, how best to engage the participants, how to exit on the right note and how to extend the action to maintain momentum. I’ll guide you through these five phases with tools and case studies, so you can apply them at your work.

[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.

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