User interviews before design gather the evidence that screens get built on. Teams recruit people matching the real audience, ask about current habits rather than opinions, record every session, then sort hours of talk into ranked findings, so the project starts from what people actually do instead of what anyone assumed in a planning meeting.
Interview quality decides research quality, because weak questions produce polite answers that mislead whole projects. Researchers inside top ai design agency studies prepare each session carefully. Questions get tested first among colleagues, recruitment reaches past existing customers, and early sessions face review for leading wording, since a question hinting its desired answer collects agreement rather than truth.
Who gets recruited and how?
Recruiting targets people who match the audience the product must serve, screened by behaviour rather than by willingness to talk. Screening questions ask what people currently do, since someone who performed the relevant task last month brings real memory, while someone who merely finds the topic interesting brings speculation.
Mix targets keep the group honest, covering new and experienced users, different roles, and different comfort levels with technology, because a study filled with enthusiasts paints a false picture of ease. Group sizes stay modest on purpose, with five to eight matched participants per audience type revealing most repeated patterns, and further rounds are added where early sessions disagree.
What shape does the session take?
Sessions follow a fixed shape that keeps the talk on lived experience, and each stage exists to protect the honesty of what gets said.
- Easy background questions open the session, settling the person while quietly confirming the screening answers still hold.
- Participants then describe the last time the task happened, step by step in their own order, because a walked memory reveals the real sequence while a summarised one hides the detours.
- Follow-up questions dig wherever hesitation, workarounds, or complaints surface, since the trouble a person mentions in passing often outweighs the trouble raised directly.
- Where drafts exist, participants think aloud while trying them, with the interviewer staying silent through struggles rather than rescuing, because a rescued participant hides the fault the session exists to find.
- One open closing question invites anything the script missed, and answers here regularly reshape the findings.
Interviewers ask about the past, never the future, because “what would you do” collects invented answers while “what did you do” collects real ones.
How does talk become findings?
Talk becomes findings through recorded transcripts, sorted comments, and human review, layered in that order. Language tools transcribe every session within hours and group similar statements across participants, surfacing repeated pains that scattered notes would hide, while researchers read each grouped theme against the recordings personally, because sorting tools catch matching words but miss matching meanings.
Findings entered the project file ranked by how many participants raised each theme unprompted, each with supporting clips attached, so designers later trace any claim back to a real voice, and disputed findings get settled by replaying the source rather than by seniority.
Interviews run through matched recruits, habit questions, and evidence-ranked findings hand design teams a grounded starting picture. Screens built afterwards answer troubles real people described, which no amount of internal debate can produce on its own.
