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