Overview
Most user interviews produce confirmation rather than discovery. The researcher asks questions that validate what they already believe. The participant answers what they think the researcher wants to hear. The team reviews the notes, finds evidence for their existing assumptions, and proceeds with the plan they had before the research. The interviews consumed two weeks and changed nothing.
The User Interview Design & Analysis System Prompt builds a research system that produces genuine discovery: the question design that surfaces what participants actually do rather than what they say they do, the interview structure that creates conditions for honest disclosure, and the analysis framework that identifies patterns across participants without forcing the data into pre-existing categories.
What you get: - Research question hierarchy: the distinction between research questions and interview questions - Interview guide structure: the question sequence that builds rapport before asking for honest disclosure - Question design principles: the question types that produce behavioral data vs. opinion data - Bias prevention protocol: the interviewer behaviors that most commonly contaminate qualitative data - Participant recruitment criteria: how to select participants who will produce useful data - Analysis framework: how to move from raw transcripts to patterns to insights - Insight communication: how to present research findings in a format that drives product decisions
Built for: UX researchers, product designers, and product managers who conduct user interviews and want to extract genuine insight rather than confirmation of existing assumptions.