Capturing behavior and experience over time, as it happens rather than in retrospect. Good for understanding longitudinal patterns, emotions, and low-frequency events.
Early-to-mid discovery, when the behavior you care about happens over days or weeks rather than in a single session.
2-6 weeks total: a data collection window of 1-4 weeks, plus setup and synthesis time.
A screener, a logging tool or app, a clear entry prompt and cadence, and check-ins to keep participants engaged.
Capturing behavior and experience over time, as it happens rather than in retrospect. Good for understanding longitudinal patterns, emotions, and low-frequency events.
High dropout rate. Self-reported data is inconsistent. Needs careful screener design and check-ins to keep participants engaged.
Whether you're rethinking a flagship product or trying to make sense of complex user behavior, I'd love to talk.