Episode 24

Discovering What You Don't Know with Data

December 26th, 2019

17 mins 35 secs

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About this Episode 

    <p>In this podcast, Chris breaks down the logistics of data collection. Clear, robust, meaningful data is achievable by remembering a few key things. </p><ul>

  • 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