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Bit more on the train
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app/posts/personalised-prevention-platform/2025/04/2025-04-21-alpha.md

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### Starting
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### Start page
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After using the call to action, the user then hits a fairly traditional start page pattern. It’s a bit personalised in that it offers examples that make sense for a journey coming from the waist to height ratio results.
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### Information and guidance versus finding services
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### Do you want know more about the benefits of reducing your waist size and getting to a healthier weight?
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The next part of the prototype is aimed at gaining insights and prompting discussion about the _relative_ value of information and guidance.
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### Consent
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### Can we use these details about you?
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Using a fairly realistic barrier, we explore users’ assumptions and expectations about consent and data sharing across the system. Our page presents a forced consent to use a basic set of details in the platform.
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GRAB
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Any findings?
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---
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### Changes you want to make to stay healthy
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A simple way to explore personal priorities versus what we (the system) are saying is to allow people to choose. We display recommended changes based on the user’s journey (in this case height-to-waist-ratio related), but offer more.
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Potentially, from this point onwards, a platform could be starting to build up a profile in the background of a person and their goals.
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GRAB
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Any findings?
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---
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### What do you want to do first?
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How do people feel about selecting one priority to tackle first?
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As part of onboarding, it’s often [better] to design for as little friction as possible, reducing complexity. A platform could retain all selected goals in the background, but take the user through an initial journey with a single goal.
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GRAB
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Any findings?
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---
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### What do you find hard about making healthy changes?
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Both desk research [hat tip to Southwark?] and our discovery probes noted that asking people what might get in the way brought them much more on board. People often know what they _should_ be doing, and reasonably enough can be put off by being given the same advice repeatedly [our cohort?] something something de-motivating.
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A platform that takes into account people’s barriers as far as possible when recommending services would be another way to reduce the friction and pain points currently experienced by users. Less friction means less drain on the motivation to act to change stuff [write betterer]
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Something we wanted to test in this example was how people react to only having a fixed amount of barriers to choose from.
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GRAB
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Any findings?

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