PAI Health

PAI Health wants to empower people to live longer, healthier lives using scientifically proven activity tracking. Whereas other platforms use less useful data like tracking steps, PAI continuously tracks heart rate and calculates a heart score over a rolling 7 day period in order to better track people’s overall health.

Rather than relying on the number of steps you take, PAI health uses the Personal Activity Intelligence (PAI) to create a personalized metric that translates heart rate data into a single, easy-to-understand score. The algorithm behind PAI is based on the HUNT Study, the world’s largest health study carried out in Norway, that analyses heart activity and correlates it over to overall health and increased lifespan.

The PAI View

Despite the complex science, the user experience was intentionally kept simple. Working with the team at PAIhealth, we worked to find ways to visualize and make the PAI calculation highly visual and glanceable, so as to allow people to quickly dip in and out of the app.

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The 7 day view of PAI was a revolving infographic that would have changing sizes of each slice based on how much activity was completed in each day. The number in the middle would represent the PAI level and when it reaches 100, the user was in the green zone.

HR Now

For those people who would be using the app as an activity tracker in realtime, we also included a small part of the home page designated to showing the present HR.

The PAI Ring

As part of achieving a day’s activity goals, users would reach the outside activity ring.

The Day Details View

As simple as we wanted to make the main PAI experience, we also wanted to give people access to the rich heart data that has been captured in order to break down their data to finer granularity, allowing them to better understand when and how they’ve been gathering their PAI points.

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The PAI Graph tracks your heart rate over the day and helps correlate heart data to PAI points gained.

PAI breakdown shows the number of PAI points gained resulting from different levels of cardio activity. This is intended to show users that they can get an equal amount of PAI points doing high HR activities over a short amount of time as doing a low HR activity for a longer amount of time.

PAI points are associated with specific activities so that users can start to learn how they typically earn PAI points the fastest

Optimizing Onboarding

Onboarding was designed to walk users through the process of setting up the PAI app and pairing it with the accompanying hardware. One key insight was to identify the parts of the setup flow where the user’s experience was being bottlenecked by the need to update the hardware’s firmware wiith an over the air update. We used that wait time as an opportunity to highlight some of the features and functions of the PAI experience.

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