Analysis & Synthesis
I transcribed and edited all the interviews, and coded them using these groups:
I wanted to understand my participants better - better understand their behaviors, and their feelings about those behaviors. That's why I chose these particular groupings. I went through the transcribed interviews, and used the color coding you see up there to mark up the text by group.
After that it was time to pull out the virtual stickies! I started to affinity map out all the coded quotes I had highlighted. First I organized them by user and coding group, then within each coding group, I started matching up similar responses from different participants, and giving those similar responses a category name.
My goal was to move from the more highly specific details, to general insights that could both speak to the research objectives, and that I felt could lead to actionable recommendations. The organization never stops. I organized the categories, then put similar categories into buckets with a general theme that kept popping up in the responses.
I looked at the themes that appeared from my new buckets, and from there discovered the insights I would present.
What's next?
- Set scope and requirements of the food habit app from the business side.
- Begin ideating on a habit tracking app, keeping the recommendations in mind as key features.
- Competitive analysis to see how similar apps are tackling a Covid-19 world.
Reflections
What went well?
Coming up with a synthesis process that worked well for me, that I can apply to future projects. I got to work on my presentation skills (always nerve-wracking and always necessary) and research read out was received well.
What needs improvement?
The interviewing process is an ever-developing skill for me. Becoming more comfortable with stepping away from the moderator guide and asking off the cuff questions. I used a digital transcription service, which required a lot of editing, and therefore a lot of time. I'd like to try manually transcribing to compare the amount of time spent.