Run qualitative research at scale
Conversational market research with real and synthetic consumers.
QualiSynth runs AI-moderated interviews, captures full conversations, and turns them into structured evidence — drivers, barriers, needs, and quotes — so agencies and insight teams ship faster without flattening qualitative depth into survey logic.
Typical projects run ~10 depth interviews over one to two weeks — strong depth, but slow fieldwork and limited coverage.
Scale conversational interviews with AI moderation and structured analysis — without turning the study into a flat survey.
A simple workflow for serious qualitative research.
QualiSynth is designed to make qualitative research faster without flattening it into survey logic.
Define the objective, target audience, market, brand context, and interview guide in minutes.
Collect responses from real participants, synthetic consumers, or both in the same research workflow.
Surface drivers, barriers, needs, quotes, and evidence that teams can actually use for decisions.
Show alignment, not black-box synthetic respondents.
In hybrid studies, QualiSynth compares human and synthetic groups on the same metrics — mention rates for barriers and needs, themes, and sentiment — so you can see where synthetic responses track real language and where they diverge. Synthetic respondents are a directional accelerator; the product is built to make that relationship inspectable.
Example only — your dashboard shows real convergence scores and deltas per study.
- Same interview guide and analysis pipeline for humans and synthetics — comparable outputs.
- Quotes and evidence trace back to conversation transcripts, not free-floating AI summaries.
- Use synthetic runs to broaden coverage; use human respondents when live validation is required.
Built for teams that need evidence, not just transcripts.
The platform is designed to help research teams move from interviews to structured understanding faster and with better visibility.
Qualitative depth, without the usual bottlenecks.
Scale qualitative research without turning it into a survey.
Use real and synthetic respondents in one consistent workflow.
Capture full conversations, not shallow form answers.
Generate evidence-backed insight instead of raw transcript overload.
Export structured outputs for reporting and downstream analysis.
Designed for agencies, consumer insights teams, and product research groups.
Complete respondent transcripts with context, follow-ups, and signal detection.
Drivers, barriers, needs, themes, and evidence linked back to the interviews.
Structured outputs for stakeholders, including export to presentation and PDF formats from the analytics workspace.
Synthetic respondents should not feel like a black box. Hybrid studies include human-vs-synthetic comparison on shared metrics, and every insight can be tied back to conversation evidence — the same standard you would expect from professional qual.
Designed for the teams that already live inside research workflows.
Run more studies, reduce turnaround time, and deliver stronger evidence to clients.
Test brand perception, product concepts, and unmet needs with a faster qualitative workflow.
Use conversational interviews to validate concepts, flows, positioning, and user motivations.
Not a survey builder. Not a generic AI tool. A real qualitative workflow.
QualiSynth is designed around conversational research, evidence visibility, and usable qualitative output — not just text generation or static form collection.
Capture motivation, hesitation, nuance, and language that static forms usually miss.
Go beyond small-sample qual by combining real and synthetic respondents in the same study logic.
Clear answers for teams evaluating the platform.
No. It is built for conversational qualitative research, not static form collection.
Yes. Studies can be human-only, synthetic-only, or hybrid depending on the research goal.
It produces structured qualitative outputs such as drivers, barriers, needs, themes, and evidence-backed quotes.
It is designed for market research agencies, consumer insights teams, and product research groups.
Treat them as a fast, directional complement — not a replacement for every human validation. QualiSynth is built to make the comparison visible: in hybrid work you can review how synthetic mention rates and themes align with humans on the same metrics, plus trace evidence to transcripts.
Book a demo or start a conversation.
Tell us about your research setup and we will show you how QualiSynth fits — study design, fieldwork modes, and structured output.
See how to run multiple studies in parallel and deliver faster to clients.
Walk through a real brand health or concept test end to end.
Explore how conversational interviews fit your existing discovery workflow.
We respond within one business day.