NanoWell App

Nanowell App Concept


Nano wants to help people live the healthiest and happiest lives possible based on their specific lifestyle, genetic makeup, activity levels, and pre-existing conditions. Nano doesn’t believe in a one size fits all mentality and has a lofty goal to “heal the world”. That all starts with data.

To achieve this vision, Nano planned to create a platform to guides you by through analyzing your health and wellness data, creates a support system of health practitioners and coaches to aid you in your process, and a library of content to help you learn more about how to reach your health/wellness goals.



Without a user’s health and wellness data/measurements, Nano won’t have a great way to help you reach your health and wellness goals. Nano believed an app that can aggregate your health and wellness data and provide you feedback on where you stand seemed like a great place to start.

In August of 2019, we began the process of figuring out what this app could become long-term and how we could scale that vision back to an MVP of the app that we would launch by the end of the year or shortly thereafter.




  • Aggregate all the data we can. We wanted to create an app that can ingest all the health data you might have about yourself so it’s all in a single place. We would start with integrating with Apple Health Kit and Fitbit due to ease of integration with those systems and how much data we could get from them.
  • Provide manual data entry options to fill in the gaps. With certain aspects of a person’s health and wellness either being hard to track (mental health/how a person is feeling) and other health data being hard to import cleanly (EHRs, medications they might take) we needed to allow manual data entry of a handful of key health and wellness metrics to help a user round out their profile.


  • Let them know where they stand. We believed a huge piece of helping a person understand their health and wellness data is providing them with a way of quantifying where they fall on the health/wellness spectrum.
  • Bonus points for education. If we could also add an educational aspect to each metric to teach a user about their health that would be great. The more personalized the better.



We knew what categories comprise good health, but didn’t have a ton of research on what people might want to see or if they had any idea what comprised good health and wellness. Interviewing people about their health and wellness seemed like a good place to start to get a foundation for what people care about, struggle with, and like about other health and wellness products/services.

I began by talking to friends and family to try to understand what matters to them when thinking about their health. From there I would synthesize the data to look for common frustrations, needs, motivations for being and staying healthy and opportunities that might help them be successful.

One of the biggest things I learned was how little people actually knew about health and wellness as a whole. This led me to dig further into health literacy on a larger scale in the US. I found countless studies showing how low health literacy is in the US compared to other countries. Long-term I believed there must be a degree of education we provide them each time we show data. I would also need to keep in mind that the need to show steps to take based on a person’s data might also be an eventual part of the system, however, providing any personalized actions a user would need to take based on their data would probably not come as a part of an MVP due to the time frame we were looking at.

A big challenge we faced as a company is what audience should be the focus of this exercise since health and wellness affects us all. Through onsite and phone interviews, we began to dig into what bothered most people and areas of health and wellness we felt seemed under supported in the market, we started to notice that people with high stress and anxiety might have a use for this as well as fitness enthusiasts who already track a few things using various devices like Fitbits, Apple Watches, etc. While it still wasn’t as much to go on as we would have liked, with limited time, we decided to focus on the similarities between these people, while we flushed out more in depth personas. Once I started to develop some design priorities to guide my concepts we could start to test these ideas to see which ones seemed the most promising.


  • Aggregate all their data from a bird’s-eye-view. From research, we discovered that everyone needed a central digital place to keep all their health/wellness data.
  • Show them where they stand. They also all needed help understanding where they fit in relation to people like them based on population data (which we already had).



I proposed a solution-focused around health “scores”. The scoring system would be based on where a person fell on in relation to the aggregate population health and wellness data we had for someone with their physical attributes and recommended ranges of good health and wellness.

The scoring system would be color-coded  with green being good, red being not so great, and grey meaning data was needed. The plan was to utilize progressive disclosure so as not to overwhelm the user with data upfront and let the user dig into sections as they pleased to dive deeper and learn more about their scores. In addition, I came up with a visual that resembled that of a particle to attempt to convey that everyone is unique when it comes to health/wellness and give a nod to our company name Nano (named due to our focus on a person’s health/wellness was all the way down to the nanoscale of particles).


  • Conducted discovery interviews with potential users (friends and family)
  • Market research
  • Concept ideation, testing and presentation
  • UI/UX design



Implementation put on hold due to change in scope and product offerings going forward. We decided to simply ingest and display that data for an MVP.