What I Learned About Human Behavior in 18 Years of User Research...
summary
Nabil Thalmann shares lessons from 18 years of user research and over 5,000 interviews, focusing on how hard it is to predict human behavior with digital interfaces, products, and services. The talk covers concepts and concrete examples such as the paradoxes of human behavior, thick data, cost/benefit ratios, mental models, the impact of in-situ context and habits, plus methodological failures and how to avoid researcher bias and choose when to run user listening phases.
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chapters (18)
- 0:00Introduction
- 2:3418 years of user research surprises
- 7:29Unexpected behaviors and paradoxes
- 12:13Cardboard furniture case study
- 17:31Eye tracking and user paths
- 21:22Exit doors and forced autonomy
- 24:54Subscriptions and consumer expectations
- 26:37Long-term tests and personal data
- 30:07Mental models and habits
- 33:01Contactless payment common errors
- 37:18Spelling and databases
- 39:06Mappy and user habits
- 40:11Notifications and personal data
- 42:14Qualitative vs quantitative research
- 45:41Recruiting and participant context
- 46:24Valuing users and open questions
- 49:37In-situ testing and real context
- 51:22Three human takeaways
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