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[https://www.userinterviews.com/blog/thinking-styles-research-indi-young] - - public:weinreich
design, marketing, research, strategy, target_audience - 5 | id:1489288 -

But she did explain how researching and designing for the majority or “average user” actually end up ignoring, othering, and harming the people our designs are meant to serve. Indi shared how she finds patterns in people’s behaviors, thoughts, and needs—and how she uses that data to create thinking styles that inform more inclusive design decisions. Indi talked about… Why researchers should look for patterns, not anecdotes, to understand real user needs. What are thinking styles and how to uncover and use them. Why your “average” user often doesn’t exist in the real world, and how we can do better.

[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
how_to, target_audience, strategy, design, 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.

[https://www.tandfonline.com/doi/full/10.1080/14719037.2019.1619810] - - public:weinreich
design, management, strategy, target_audience - 4 | id:266012 -

While co-design with users has evolved as a promising approach to service innovation, it remains unclear how it can be used in public service contexts. This article addresses this knowledge gap by applying a co-design framework during the ideation stage of six public service design projects. The findings provide insights into (a) recruiting and sensitizing suitable service users, (b) conditions enabling users to co-design ideas, and (c) requirements for implementation of user-driven ideas. The article contributes an approach that shifts public service design away from an expert-driven process towards enabling users as active and equal idea contributors.

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