AI in UX Research Analysis

Transcribing or preparing raw data for analysis

Initial review and familiarization with data

Coding, tagging, or highlighting key moments

Identifying patterns, themes, and relationships

Synthesizing insights and building narrative

Creating deliverables (reports, presentations, etc.)

Difficult to maintain consistency in coding

Takes too long to get from data to insights

Stakeholders need answers faster that I can provide

Hard to find patterns across large datasets

Hard to involve stakeholders in the analysis

Can't easily reference or search past research

Are you currently using AI in your user research worklfow?

General LLMs (ChatGPT, Claude, Gemini, etc.)

Purpose-built AI in research tools (Condens, Dovetail, Marvin, etc.)

Lack of understanding how to use it effectively