Jeremy Fu


Our client was interested in adding their SDK to other brands in order to gather more robust insights about the way people move.

We were charged with creating new experiences within health & fitness that use GPS location data to create value to users.

  • User experience design
  • Wireframing
  • User and stakeholder interviews
  • Persona development

About Arity

Arity is a mobility data and analytics company focused on making transportation smarter, safer, and more useful for everyone. Its SDK processes sensor data second by second.

Meaningful insights in user behavior are communicated back to app, allowing app create value to their users by offering new features


Arity is interested in partnering with existed branded apps within the health & fitness industry due to the number of active users and the prerequisite for data collection in these apps.

Our challenge was to understand how users interact with fitness apps and their unmet needs, so Arity can prioritize which capabilities to build, and add value to the experience that users look for from these apps.


After talking to 16 consumers about their experiences within existing health & fitness apps including Peloton, Strava, and Nike Run Club, we synthesized our findings.

People who incorporate runs into their workout routines tend to focus on:

Route Planning

“I usually run the same paths; I know the areas and where they take me”

Internal Motivators

“I like to run for at least 30 minutes to feel like I got a decent workout in”

Ease of Completion

“I used to use Map My Run but I hated looking at my phone for directions”


Right now Nike Run Club has audio feedback based on distance, pace, and milestones.

We heard that users want more detailed insights based on their specific training goals to motivate them during their run. 

Coach uses the data stream that users create during their runs to give live, personalized audio feedback. This feedback will fit into user’s training goals, motivating them to hit that pace that they’ve been working towards, or understanding when they’re trying to keep running even though they’re really tired.

Guided Runs is a feature which relies on detailed location and elevation data to generate guided routes for users based on their preloaded preferences in the user survey. 

We see an opportunity to leverage users walking patterns from always on data sharing to generate smart route recommendations. We can incorporate features such as estimated crowding on a street, help users discover areas they have never been before, or even show them that they could use a Nike Guided Run on the pathways they walk frequently in their day-to-day lives.

Explorer is a page that houses user created runs that are paired with Nike’s Guided Run audios. When a user employs the Guided Run feature, they are asked if they would like to share their run. If they choose to share, the run gets stored here for runners in their area to see new options. 

Explorer is able to provide users with a feeling of connectedness to other Nike Run club users. This feature makes the act of going on runs even easier, engaging users who are feeling burned out by their normal routes.

An additional feature within the Explorer page is the ability to see if there are any Landmark Runs in your area. Landmark Runs are Nike created routes and audios surrounding scenic or historic areas. 

We heard users were interested in finding runs when visiting new cities and learning about the area through audio guides. In addition to finding landmark runs on the guided runs and explorer page, users can turn location to always on to be notified of landmark runs in their area.


We were given the incredible opportunity by our professors to present our concepts to Chun Kong, Global Design Director at Nike Run Club, and hear his feedback! 

Your insights are spot on, routes are a no brainer so users feel comfortable.
With Live Coach, having a feeling and data to back it up is essential.
Going to a new city and getting a prompt with Landmark Runs is pretty awesome.
  • First time using Figma, learned about frames, groups, design systems, and interactions
  • Considered how the user navigates through all of our new features and how they interact and mesh with the existing features in Nike Run Club
Privacy Settings
We use cookies to enhance your experience while using our website. If you are using our Services via a browser you can restrict, block or remove cookies through your web browser settings. We also use content and scripts from third parties that may use tracking technologies. You can selectively provide your consent below to allow such third party embeds. For complete information about the cookies we use, data we collect and how we process them, please check our Privacy Policy
Consent to display content from - Youtube
Consent to display content from - Vimeo
Google Maps
Consent to display content from - Google