LetsGetChecked in progress component.

LetsGetChecked provides home lab test kits & healthcare solutions to monitor peoples health and help diagnose certain conditions both direct to consumer and business to business.

The Challenge

The problem was a lack of information to the user, this included lack of information about health test delivery, lack of activation by users, users finding it difficult to arrange health test collection and finally users need to locate their test results easily.

Process

Using research based on our users behaviour from both analytical data and user interviews I brainstormed with the team to create several areas where we could improve the experience and increase conversion on the different stages of our users journey. We used a Design Thinking framework where we could empathise with our users to pin point pain points on their journey. We used surveys and user interviews which we translated into empathy maps and personas. We mapped out the user journey with touch points of where we could make a difference for our users. Once we voted on our top ideas we mocked them up with prototypes to test.

Contextual Design

Contextual design can take many considerations into account, including but not limited to: the user and their role, the task at hand or the step in a process, the user’s location, the time and date, users interests and past behaviours. The user needs to see what is relevant to them at the time with access to additional information if need be.

Process With Testing

We released in a phased approach with each section user tested. Sections were qualitative and quantitative tested. An example of this is we launched the Top Destinations with illustration that I and another designer created. During feedback our users really resonated with the illustrations. On the other hand we saw through our social media channels how much user generated imagery meant to our users. Swapping the illustrations with user generated images gave pretty inconclusive results on individual user test. However when we tested it in large numbers on production we saw a spike in clicks for the user generated imagery.