Guide bias-aware story-based user interviews for Jobs-To-Be-Done insights.
npx skills add https://github.com/haabe/tic-tac-toe --skill user-interview-haabe
Please help me install this Agent Skill. Skill: user-interview Source: https://github.com/haabe/tic-tac-toe/tree/main/.claude/skills/user-interview Command: npx skills add https://github.com/haabe/tic-tac-toe --skill user-interview-haabe
This guide enables researchers to conduct structured, bias-aware, story-based user interviews that surface Jobs-To-Be-Done insights while mitigating cognitive bias.
Run the pre-interview checklist, conduct a story-based interview following the rules, and create the post-interview snapshot to document JTBD insights.
High-intent search queries and answers about installing and using this skill.
To conduct Jobs-To-Be-Done user interviews, use story-based, past-tense prompts to capture concrete actions, situational contexts, and emotional responses. This approach elicits authentic past-behavior data for product development and UX discovery.
The best way to reduce bias in qualitative research is applying pre-interview bias checks and carefully designed story-based prompts. This mitigates cognitive bias and elicits authentic past-behavior data during customer insight gathering.
Design story-based questions for UX discovery using past-tense, narrative prompts that target concrete actions, context, and emotions. This ensures you capture actual past behaviors rather than hypothetical responses from participants.
Synthesize user interview notes by capturing quotes, opportunities, and Jobs-To-Be-Done dimensions in a centralized post-interview snapshot. This structured template documents insights directly actionable for product roadmaps.
Yes, you can use bias-aware, story-based user interviews for marketing research and customer insight gathering. The method applies to any qualitative research where uncovering past behaviors and situational contexts informs roadmaps.
Story-based questioning in qualitative research relies heavily on participants accurately recalling past behaviors and situational contexts. It may not capture future intent or hypothetical scenarios outside the user's actual experience.
jc180105Plans and executes qualitative and quantitative user research to validate design decisions.
aronpcCreate a MoSCoW-prioritized product roadmap with discovery prompts and structured outputs.
propane-aiSynthesize qualitative and quantitative user research into structured insights and personas.
hulusi-tuncPlan and execute longitudinal diary studies with prompts and analysis frameworks.
