Designing an Intentional Future With UXR
summary
Advocates reusing past studies to create evergreen findings and setting simple benchmarks to track change over time, with a proposed severity formula that weights frequency 30% and impact 70% using a 0–4 severity scale and treating any catastrophic impact as an automatic high-priority case. Calls out risks of DIY research, recommends a roadshow deck to win executive buy-in, links jobs‑to‑be‑done thinking to design decisions, and flags generative AI and product addiction (TikTok example) as real-world triggers.
AI-written summary · about
chapters (10)
- 0:00Introduction and disclaimer
- 1:58Conference agenda and context
- 3:47What is UX research?
- 7:22UX research process explained
- 9:09UX research maturity levels
- 13:29Good user experience defined
- 16:01Rethinking edge cases in design
- 22:43Humanity experience vs profit
- 27:54Designing with human responsibility
- 30:24Closing and Q&A
related talks
28mBalancing Human Oversight and AI in UXR
35mGood UX and Design for Humans
27mDo you dare to care? - The future of Leadership in UX
40mAdjusting UX Research for an Agile world
33mUX Research and Design: Crucial to development
32mDesign the Right Thing ... and Then Design Things Right
42mTruly Informed UX Using Actionable Insight
25mArtificial intelligence & design: imagining the future of UX
