Your course
What is user experience? · The user-centered design process · Research and the product development process · Writing about behavior
The Human Gate: every AI output is a draft · Prompt science: test sets, rubrics, iteration · Validity, bias, and hallucination · Consent, PII, and your research AI toolkit
Learning about your product · Learning about your users · Personas and profiles · Conducting secondary research · Persona specs and synthetic pilots
Choosing research activities · Survey of methodologies · Behavioral vs. attitudinal · Qualitative vs. quantitative · Where AI fits in each method
The Design Sprint methodology · The research proposal · Estimating research timelines
Participant recruiting · Moderating the activity · Think-Aloud Protocol · Research test runs
Overview of surveys · Avoiding survey pitfalls · Drafting and de-biasing questions with AI · Piloting with synthetic respondents
Preparing for the interview · Discussion guides with AI · Conducting the interview · Transcription and fidelity checks
Analysis: what you will verify · AI-assisted coding and the model as second rater · Quantitative and survey analysis with AI · The verification log and the Analysis Lab
Introduction to evaluation · Likert-scored heuristic evaluation with an AI second reviewer · Usability test analysis with AI · The AI-in-the-loop fix cycle
Design Sprints · Creating research reports · AI-drafted reports and the edit pass · Repositories, provenance, and stakeholder alignment
Final capstone presentations · Capstone — report, verification log, provenance statement, presentation
