AIX Design: Define
For this phase, we had taken our findings from our Empathy phase such as our demographics, their insights and the main points that is discussed in more detail in the Define phase.
In our Define phase we had focused on the use of AI in our app, User Journey Maps and Personas. Once we got past this, we had moved onto the ‘How Might We’ questions. Up until then our AI use wasn’t anything too serious and I had looked with my team mate on their screen for anything we thought was helpful. Yet, with the HMW questions, we made a list before putting them in our chart. This is where my team member and I had explored using ChatGPT to explore our questions further. We had our questions but couldn’t find the wording that would fit the criteria of the questions and satisfy what would fit the focus of our target audience. We decided to both prompt ChatGPT and input the following prompt:
We are creating How might we questions for a journaling app focusing on mental health for a variety of users, act as a UI/UX researcher and find better wording for this that includes how the users might feel about AI and being prompted by it, this is the original question:
This would be followed by our How Might We question. In our exploration we were able to find wording that better fit our question as some had begun to become more specific than we intended. These were an example of a question but even that had its own problem.
We had to approach this from a user-centric approach and including the app focus or AI integration prevented us from getting better results in our answers from ChatGPT.
Being able to be flexible and open to alterations was a requirement as we worked through our prompting in order to work towards this common goal of finding the best user-centric questions so that our solutions find that perfect balance in coming up with answers.
Through thorough examination, reading these questions out loud to each other provided us with the opportunity to make sure they made sense and if they would be applicable to what the original focus or if it leaned too much into the app focus.
For this section we had actually no problems as anything else was human error. The answers provided were accurate and came to the problem from all angles and had given great starting points to jump from or an angle that we had missed that ChatGPT had picked up from our previous interview entries.
During this phase it was a side of ChatGPT I had greatly appreciated more than the previous phase. This was the aspect that had no interactions with outside insights, instead wondering internally what we could include which makes the AI use easier on my mind.
AI tools I didn’t realize saved us so much time were the lesser recognized ones such as Figma. It has a built in feature that would sort our sticky notes that were used to provide our solutions to this common idea. Figma has options to sort your sticky notes by stamps, colors, and most importantly an option to sort by topic which is where the AI came in clutch. I knew if we all had sat down and tried to sort what was easily 100 sticky notes while maintaining the original stamps, who put the original sticky note without creating a huge mess made the AI sorting was such a useful tool.
What could have taken us hours was done within a couple second and offered options to sort by commonly used methods that were incredible time savers. It was what I found myself originally looking down on from the previous stage, disliking the sorting and the way that it organized it in a way we could have done it. Yet, this feels different. It is something that we made and it took out the tedious part yet it was something that the further we got into the work made me appreciate it since our workspace is so cluttered.
When offered this ability to sort our stickies by all of these is such a lift off our shoulders and made me appreciate the AI sorting a bit more, this one is integrated very well. Just looking at our entire board zoomed out, the amount of information alone can become incredibly overstimulating. Having these AI opportunities is able to give breathing room to people who have busy and/or messy workspaces due to their big projects. It gave me a new appreciation to this feature but due to the amount of work that was put in previous, giving it a better light in my mind but as I work through this project it’s opening my mind to the way AI can be used in my future work and in the industry how it is such a great tool.
