Topics
User research prompt templates for research questions, interview guides, evidence extraction, feedback synthesis, opportunity areas, and prototype tests
User research prompts should preserve what participants actually said and what the sample can support. These recipes separate observations, interpretations, hypotheses, bias risks, and decisions for human owners.
Connect research evidence to a bounded recommendation, alternatives, risks, conditions, and next validation without overstating certainty
Translate a product team's problem statement into neutral, answerable questions tied to a real decision
Turn session observations into evidence-counted usability issues without blaming participants or overstating prevalence
Cluster feedback by underlying progress and breakdown while preserving source, variation, and uncertainty
Trace behaviors, goals, constraints, and unmet needs to interview evidence without converting requests into requirements
Translate confirmed user and business needs into scoped stories and observable behavior without inventing product decisions
Turn research questions into realistic, non-leading tasks with success evidence, observations, prompts, and prototype limits
Build a neutral conversation that elicits recent behavior, context, trade-offs, and evidence rather than feature approval
Define evidence-based feature criteria, gates, scales, uncertainty, dependencies, and decision rules before scoring candidates
Find language that permits incompatible implementations and expose the owner and evidence needed to decide
