Structured, repeatable data-driven UX research
Key Questions
What is data-driven UX research?
Data-driven UX research uses qualitative and quantitative data in structured 6-8 step frameworks for discovery, information architecture, and delegation. It emphasizes verbalizing products before coding and AI synthesis. This approach ensures repeatable processes for better decisions.
What are the key steps in digital product design frameworks?
Frameworks include 8 key steps: discover the problem and user, define product vision, and others up to delegation. Qual/quant data informs info arch and backlogs. UX360 conference in April 2026 reinforces these processes.
Are there templates for data-driven UX?
Templates exist for Figma and backlogs, such as Zigpoll and PDP, to structure research. They support qual/quant integration and AI synthesis. Guides explain using data for UX decisions in 2026.
Qual/quant into 6-8 step frameworks (discovery/info arch/delegation) + verbalize product pre-coding + AI synthesis. Templates for Figma/backlogs (Zigpoll/PDP); UX360 conference (April 2026) reinforces processes.