AI-native workflow. Scale UX research without scaling costs, headcount, or errors. Reduce delivery costs and increase project throughput. Give product teams research capacity without building a larger team. Standardize and scale research execution across the team.Scale UX Researchwithout scaling

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Keep each study organized so context, evidence, and outputs do not drift apart.

• Give the team one place for goals, guides, records, and reports
• Use the same project context across interviews and analysis

Align the team on what the research needs to answer before fieldwork starts.

• Turn loose context into goals, hypotheses, audience, and risks
• Give interviews and reports a stronger starting point

Turn research goals into a practical interview flow your team can use.

• Cover key topics with clear question blocks and probes
• Keep AI-led and human-led interviews more consistent

Improve the research setup as new evidence changes what matters.

• Use early findings to sharpen goals and questions
• Keep later interviews and reports aligned with the current focus

Start with synthetic interviews to get an early read on likely patterns.

• Find first baseline insights before live fieldwork
• Improve the interview guide before recruiting respondents

Collect more live interviews without scheduling every session manually.

• Send structured interview links to respondents
• Turn completed sessions into project records automatically

Use research you already collected instead of starting from scratch.

• Bring in audio, video, or prepared text transcripts
• Move existing interviews into the same analysis workflow

Make raw recordings usable for reporting, synthesis, and search.

• Create transcripts with speakers, timestamps, and utterance numbers
• Reduce manual cleanup before reports are generated

Catch weak source material before it affects the research output.

• Review interview, respondent, transcript, and speaker quality
• Find audio, speaker, or language issues before synthesis

Keep growing interview evidence easy to find and use.

• Search, filter, sort, and review records across projects
• Assign records cleanly so each study uses the right evidence

Understand each respondent before combining findings across the study.

• Create structured outputs for each interview
• Use the brief and guide to keep reports focused

Make findings easier to trust because teams can inspect the source.

• Extract answers, patterns, pains, jobs, and recommendations
• Keep quotes and claims tied back to transcript evidence

Process large studies faster by generating reports in one run.

• Set report types, language, and prompts once
• Reduce repeated manual setup across many records

Turn separate interviews into project-level conclusions.

• Synthesize evidence across selected records
• Identify themes, pain points, opportunities, and recommendations

Use your own research framework when standard reports are not enough.

• Create sections around your team's decision questions
• Save repeatable structures for future studies

Keep using the research after the main report is finished.

• Ask follow-up questions across reports and transcripts
• Use citations and source views to check answers

Move findings into stakeholder workflows without extra formatting work.

• Share read-only links when stakeholders need access
• Export reports for handoff, review, or presentation work