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app/posts/personalised-prevention-platform/2025/04/2025-04-21-alpha.md

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@@ -86,7 +86,7 @@ This is a good start in describing the PPP service. Creating smooth links betwee
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### Do you want know more?
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This part of the prototype is aimed at gaining insights about the _relative_ value of guidance as opposed to finding services.
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This part of the prototype is aimed at gaining insights about the relative value of guidance as opposed to finding services.
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We do this by asking a simple question: do you want know more about the benefits of reducing your waist size and getting to a healthier weight?
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During our discovery we noted that asking people what might get in the way brought them much more on board.
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People often know what they _should_ be doing, and reasonably enough are put off by being given the same advice repeatedly. A platform that takes into account people’s barriers when recommending services could stand more chance of success.
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People often know what they should be doing, and reasonably enough are put off by being given the same advice repeatedly. A platform that takes into account people’s barriers when recommending services could stand more chance of success.
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In this interaction we wanted to test how people react to having only a fixed number of barriers to choose from, and what they thought about being asked about barriers at all.
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Participants weren’t sure why they were being asked what they found difficult when trying to make changes. Few thought it would be for their benefit (i.e. to recommend the right services), with some thinking they were being asked purely for statistics. Nobody questioned the items in the list.
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We need to work harder to convey _why_ we are asking about barriers.
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We need to work harder to convey why we are asking about barriers.
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### Preferences
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![Example screengrab of a multiple choice preference question]([email protected])
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By using ‘facts’ about someone (for example their age, height and weight, and home postcode), we can match a set of services that a person will be _eligible_ for.
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By using ‘facts’ about someone (for example their age, height and weight, and home postcode), we can match a set of services that a person will be eligible for.
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Gathering both barriers and preferences could allow us to reorder or reduce that set to make it more _suitable._
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Gathering both barriers and preferences could allow us to reorder or reduce that set further to make it more suitable.
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Our prototype asks a few questions, to understand how detailing preferences affects a user’s understanding or expectations:
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