Emerging Behaviors — From Interviews to the Persona
summary
The talk explains how to turn qualitative interview data into representative personas for an IoT automotive project by applying a tested, reproducible method from fluidproject.org. It describes using an affinity scale of 8–15 behavior items (each scored 1–4 with no midpoint) across 30 in-depth interviews, then creating visual behavioral paths from those scores to form the personas.
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