Affinity Mapping:
I used the process of affinity mapping in alignment with completing the interviews, adding notes to the map each time I finished another interview, so I had a strong idea what my affinity map would look like as I was still finalizing the interviews. One thing I added during the mapping process were additional improvements for the Hatch brand to consider beyond the scope of this project, such as:
Problem Statement and Feature Set:
It was now time to take all of the information I had gathered, and write out some Point of View and How Might We statements. Once I had the right questions being asked, it was time to envision what the future of the new feature might look like, and what details should be included in this new addition. It was fun to take the concerns and wants that interviewees had voiced, and think of practical solutions, such as the ability to lock one’s recording for in-app only to address feelings of vulnerability/embarrassment having a recording of one’s own voice.
Lo-Fi Wireframes:
I started this process with a ton of sketches, trying to imagine how my concept would match the style of the brand seamlessly, but still add a little something to dazzle the user.
Tree Testing:
In order to gain insights as to how discoverable and easy to use the new voice record feature might be for Hatch Rest app users, I opted to do a tree test with some lo-fi frames. For this test, I used:
I asked for only one task: “You want to record a custom voice recording for your child. Please go through the steps to make a recording that will fade into white noise, choose a custom sound, mark for in-app only, and save to favorites.”
Performance was subpar, but offered great insights to pinpointing the problem area, and how adjustments to the design would lead to a more straightforward experience for the user.