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Introduction
Understanding what users actually need from a website — not what they say they want — is the core challenge of UX research. The jobs-to-be-done (JTBD) framework, combined with well-structured interview questions and realistic user personas, gives designers and researchers a powerful toolkit for uncovering genuine user motivation.
AI can generate interview question sets, JTBD statements, and user personas in minutes. This guide explains each component and shows you exactly how to prompt AI to produce them for any web design project.
What Are UX Interviews?
UX interviews are structured or semi-structured conversations with target users designed to uncover their needs, behaviours, motivations, and frustrations. Unlike surveys, interviews allow researchers to follow unexpected threads and probe for the deeper context behind user statements.
The Challenge With UX Interview Questions
Writing good interview questions is harder than it looks. The most common mistakes:
- Asking leading questions that suggest the "right" answer
- Asking hypothetical questions ("Would you use X?") instead of behavioural ones ("Have you ever done X?")
- Asking about opinions and preferences rather than past experiences and actual behaviour
The Mom Test principle (from Rob Fitzpatrick's book) offers a useful rule: never ask what someone would do — ask what they have done. Past behaviour is far more predictive than stated intentions.
What Is the Jobs-to-Be-Done Framework?
The jobs-to-be-done framework reframes how we think about user needs. Instead of asking "who is this user?", it asks "what job is the user hiring this product or service to do?"
A JTBD statement follows this format: "When [situation], I want to [motivation], so I can [expected outcome]."
Understanding the job changes the design question entirely. Users don't hire a vehicle wrap service to get vinyl applied to a van — they hire it to make their business look more professional and attract more customers. That understanding changes what a website needs to communicate.
What Is a User Persona?
A user persona is a fictional but research-grounded representation of a key user type. It captures demographics, goals, pain points, and behaviours that help design teams make decisions with a specific real-feeling person in mind.
Personas vs. Real Users
Personas are generalisations based on research patterns — they're useful design tools but should never replace actual user research. Use them to maintain design focus, not as a substitute for speaking with real users.
How AI Generates UX Interview Questions, Personas, and JTBD
AI can produce a complete research framework — personas, JTBD statements, and interview questions — in minutes when given the right context. The output is a starting hypothesis that the research team then validates through real conversations.
The AI Prompt
"As an expert User Experience researcher for a [describe your business], find out what my consumer's 'jobs-to-be-done' is. What personas should I research, and what interview questions should I ask to uncover their JTBD? Draw ideas from the Mom Test."
Example Prompt
As an expert User Experience researcher for a "Toronto-based vinyl vehicle wrap company", find out what my consumer's jobs-to-be-done is. What personas should I research, and what interview questions should I ask?
Example AI Output
Target Personas:
- Business Owners: Hiring vehicle wraps as a mobile advertising and branding tool — their job is to grow brand recognition affordably
- Car Enthusiasts: Hiring wraps for aesthetic customisation and protection — their job is to express identity and protect resale value
- Commuters / Rideshare Drivers: Hiring wraps to differentiate their vehicle or reduce environmental impact — their job is to stand out or feel good about their choices
JTBD Statements:
- "When I want to advertise my business without paying for ongoing ad spend, I want a one-time wrap solution, so I can generate brand awareness every time my van is on the road."
- "When I want to protect my car's paint and customise its appearance, I want a high-quality vinyl wrap, so I can preserve resale value while expressing my style."
Mom Test-Inspired Interview Questions:
- Tell me about the last time you thought about promoting your business with your vehicle — what happened?
- Have you ever looked into vehicle wraps before? What made you hesitate or move forward?
- What was the hardest part of finding a reliable wrap service?
- When you were evaluating providers, what almost made you choose someone else?
- What do you wish you'd known before getting your vehicle wrapped?
- What would make you refer this service to someone else?
Notice how these questions ask about past experiences, not hypothetical preferences — this produces far more honest and useful data.
How Many User Personas Does a Project Need?
Most web design projects need 2 to 4 personas covering the primary user types. More than 4 becomes unwieldy — the design team can't realistically hold that many perspectives in mind simultaneously. Focus on the personas that represent the most frequent or highest-value user types.
How UX Interview Insights Improve Webflow Design
Interview insights reveal the language users use to describe their needs — which directly shapes the copy, headlines, and navigation labels on a Webflow site. They reveal what trust signals matter most, what objections need to be addressed, and which features to prioritise in the build.
Pair your interview insights with affinity diagramming to synthesise findings, and use user scenarios to put your personas into realistic design contexts. If you want a Webflow site built from genuine user insight, our team can help.
Conclusion
Great UX research starts with great questions. The JTBD framework focuses those questions on what users are actually trying to accomplish. AI makes generating the personas, JTBD statements, and interview question sets fast — so your research sessions produce insights you can actually design from, not just observations you file away.
