Discovering What You Don't Know with Data

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Demystifying Data

Business


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 timePersonal experience data is gatheredWorks well when insight will come from individuals personal experience and/ or perspective2. Focus GroupsSmall groups (6-8 participants)Each is considered an expert in the topicDiscussion-based, so small group dynamics come into playInsights derived from the creative problem solving of the groupBest practices for qualitative data collection1. 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 topic4. Record and transcribe interviews/ groupsLinks of InterestMore about Secondary Data gatheringFocus Group