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[https://alistapart.com/article/engaged-excerpt/] - - public:weinreich
behavior_change, design, technology - 3 | id:744525 -

It’s not just about really liking a product (although you definitely want users to really like your product). With the right design elements, your users might embark on a meaningful bond with your technology, where they feel engaged in an ongoing, two-way relationship with an entity that understands something important about them, yet is recognizably non–human. This is a true emotional attachment that supplies at least some of the benefits of a human-to-human relationship. This type of connection can help your users engage more deeply and for a longer period of time with your product. And that should ultimately help them get closer to their behavior change goals.

[https://peoplescience.maritz.com/Articles/2020/Its-My-Life] - - public:weinreich
behavior_change, design, ethics - 3 | id:744524 -

The following is from Dr. Bucher’s forthcoming book, Engaged: Designing for Behavior Change. I chose this section because it touches upon a PeopleScience theme: being successful and effective behavioral practitioners while also, and primarily, being good.

[https://www.uxmatters.com/mt/archives/2020/09/engaged-designing-for-behavior-change-1.php] - - public:weinreich
behavior_change, design - 2 | id:744523 -

This is an excerpt from Amy Bucher’s book Engaged: Designing for Behavior Change. In this chapter, you’ll learn how to structure [users’ meaningful choices on their behavior-change journey] so that it’s easier for people to select good options that ultimately support their goals.

[https://www.nngroup.com/articles/summary-quant-sample-sizes/?utm_source=Alertbox&utm_campaign=6b433997b0-EMAIL_CAMPAIGN_2020_11_12_08_52_COPY_01&utm_medium=email&utm_term=0_7f29a2b335-6b433997b0-24361717] - - public:weinreich
design, quantitative, research - 3 | id:744486 -

40 participants is an appropriate number for most quantitative studies, but there are cases where you can recruit fewer users.

[https://insidebe.com/articles/how-single-question-increased-adobe-retention/] - - public:weinreich
behavior_change, design, sample_campaigns - 3 | id:742077 -

Key Takeaways When customers want to leave, don’t ask why. Shift their attention to why they committed to your product or service in the first place. Instead citing reasons for leaving back to you, they’ll need to recall all the benefits they could lose if they chose to leave. Don’t underestimate the power of opportunity and impact of the environment on behaviors. Keep in mind that preparation meets opportunity. Do your people have all the tools to commit to change? Do they understand and know what to do each step of the way? If not, they are unlikely to change their behavior. Allow people who will be using the new solution to co-create it. This way, implementing change will be much easier. It’s easier to toss aside talking points someone else has created, but not those you came up with - they seem much more valuable thanks to the IKEA effect.

[https://www.nngroup.com/articles/social-media-research-insights/?utm_source=Alertbox&utm_campaign=2b91975c02-EMAIL_CAMPAIGN_2020_11_12_08_52_COPY_01&utm_medium=email&utm_term=0_7f29a2b335-2b91975c02-24361717] - - public:weinreich
design, social_media, social_network, strategy - 4 | id:706903 -

Companies should experiment with interactive social media content types, include relevant calls to action in posts, and avoid posting too frequently.

[https://www.igi-global.com/chapter/rethinking-the-origin-of-the-behavioural-policy-cube-with-nudge-plus/269972] - - public:weinreich
behavior_change, design, policy, strategy - 4 | id:684342 -

Key Terms in this Chapter Behavioural Policy Cube: The policy cube encapsulates three core features of the ‘libertarian paternalism’ framework; namely if an intervention or policy tool is informed by the standard axiomatic assumptions of rational man theory or by insights from behavioural theories, if it is internality or externality targeting, and if it is regulatory or libertarian in nature (Oliver, 2017b). Nudge: A nudge is any aspect of the choice architecture that alters people's behavior in a predictable way without forbidding any options or significantly changing their economic incentives (Thaler & Sunstein, 2009). Boost: A boost improves the competency of a decision-maker by enriching his or her repertoire of skills and decision tools and/or by restructuring the environment such that existing skills and tools can be more effectively applied (Grüne-Yanoff & Hertwig, 2016). Think: A think is a schooling strategy that involves large-scale deliberations to enable citizens to own the process of behavioural reforms. These often include citizen forums and large-scale behavioural therapies. Nudge Plus: Nudge plus refers to an intervention that has a reflective strategy embedded into the design of the nudge. It can be delivered either as a one-part device in which the classic nudge and the reflective plus are intrinsically combined, or as a two-part device whereby the classic nudge is extrinsically combined with a deliberative instrument that prompts individual reflection on the nudge. (Banerjee & John, 2020).

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