In this podcast, Chris breaks down the logistics of data collection. Clear, robust, meaningful data is achievable by remembering a few key things.
- One initial question must be asked: “What kind of data do you want to collect”? Discovery or validation data?
- Secondary data (collected from public sources) can be very helpful.
Qualitative data will often come from one of two sources:
1. IDIs (In-Depth Interviews)
- One individual at a time
- Personal experience data is gathered
- Works well when insight will come from individuals personal experience and/ or perspective
2. Focus Groups
- Small groups (6-8 participants)
- Each is considered an expert in the topic
- Discussion-based, so small group dynamics come into play
- Insights derived from the creative problem solving of the group
Best practices for qualitative data collection
1. Have a clear definition of target participant.
2. Have a good mix of participants around the target.
3. Develop an interviewers’ guide to stay on topic
4. Record and transcribe interviews/ groups
Links of Interest