For independent, boutique & in-house qualitative researchers
Stop guessing what to ask before fieldwork.
QualiSynth generates and interviews the synthetic consumers your study needs — from a focused cohort to several hundred — so you pressure-test your hypotheses before you commit real fieldwork budget.
We build the panel from your brief. You give us the brief, audience and interview guide; we generate the synthetic respondents, interview them conversationally, and show the evidence behind every theme. It is not transcript analysis — we create the respondents, we do not process yours.
Teams walk into the briefing with secondary data and assumptions — because real pre-interviews cost as much as the study itself.
Segmented synthetic respondents, transcripts you can quote, evidence-linked themes and an agency-grade deliverable — before real fieldwork starts.
From brief, to synthetic conversation, to a traceable theme.
Before we ask you to trust synthetic research, we show you where the output comes from. This is one real study, end to end.
"Why do customers stay with their insurer even when they are unhappy?"
Internal hypothesis: Price is the main barrier.
Audience: Spanish insurance customers, mixed age and income segments.
Guide: Switching triggers, trust, coverage understanding, reactions to renewal messaging.
What stops you from switching insurer, even when you are not happy?
"Price is the brake. Complexity is the fog. The fog is worse — it stops me from even seeing the road."
Complexity blocks switching more than price.
Mapped across 217 synthetic interviews — strongest where coverage feels hardest to compare.
The brief shifted before fieldwork.
From "test price messaging" to "probe clarity, trust, and rejection of scare tactics".
What 217 Spanish insurance consumers actually said
Insurance Coverage Choice — Spain 2026. N=217 synthetic consumers. SHQI 0.989.
A client needed to understand why Spanish consumers stay with their insurer even when unhappy — and what triggers switching. The internal hypothesis: price is the main barrier. They ran 217 synthetic consumer interviews in under 30 minutes.
- Fear-based upsell was the #1 rejected pattern — 125 mentions, 0 acceptances across all 217 respondents
- Mapfre dominated spontaneous recall with 530 mentions — 2.2× more than any competitor
- "Complexity is the fog" — consumers could not evaluate coverage options, so they stayed put by default
The real blocker was complexity and distrust of scare tactics. The brief shifted from price messaging to transparency and simplicity — before a single real interview started.
Hypothesis: price is the main barrier.
Real blocker: complexity and distrust of scare tactics.
The fieldwork guide was rewritten before a single real interview — before any of the budget was spent on the wrong questions.
You don't have to "believe" in synthetic.
See where it aligns with humans. And where it doesn't.
Mirror View runs the same interview guide on humans and synthetics and compares them side by side — mention rates, themes, sentiment. Same analysis pipeline, same metrics. You ship convergence and divergence, not AI claims.
3 human + 18 synthetic respondents, same guide, real convergence.
- 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 for coverage and speed; use humans when live validation is required.
Built to be audited, not believed.
Every claim on this page maps to something you can inspect — not an AI wrapper that asks for faith.
- SHQI — 12 deterministic quality metrics, no LLM in the scoring loop
- Mirror View — human vs synthetic on the same guide and pipeline
- Every theme linked back to the conversation that produced it
- Full transcript export — read the raw evidence yourself
- Population back-tested against real-world survey data (World Values Survey)
- Honest about limits — we show you where synthetic diverges from human
Describe people. Talk to them.
Generate synthetic respondents from a plain-text description and ask them one question — in your own market and language. This is a free demo of the engine, not a full study. No signup.
5 synthetic respondents · 1 question · SHQI quality score · free · no signup
Built for the researcher who still has to present on Friday.
Everything from the brief to the final deck: the process you run, the insights it surfaces, and the artefacts you hand a client — editable, traceable, boardroom-ready.
More than pre-research: pressure-test anything you would normally take to a focus group.
Same engine, different study object. Put a value proposition, message or concept in front of your target consumer and see how they read it — directionally, before you spend on live testing.
We pressure-tested this very page with QualiSynth.
Before publishing, we ran synthetic interviews with agency researchers in the US, UK and Spain — the exact buyers this page is for.
One finding: buyers thought QualiSynth analysed their own transcripts, instead of generating respondents.
That's why this page now leads with the mechanism. Directional, fast, and honest about its limits — exactly how we'd want you to use it.
Honest limits make the product more credible.
The fastest way to destroy a research relationship is over-promising. Here is what QualiSynth does not do, so we start the conversation on solid ground.
We do not just code interviews you already have. We generate and interview synthetic consumers from your brief.
Use it for pre-research, concept pressure-testing and hybrid coverage. In hybrid studies we place synthetics next to real respondents so you see where they converge and diverge.
Useful N runs into the low hundreds for qualitative depth. If you need statistical significance at N>500, keep your panel partner — use us for the pre-work.
Every theme in the report links back to the conversation that produced it. SHQI, Mirror View and full transcripts — visible and auditable.
Clear answers for agency leads evaluating the platform.
That is possible in hybrid workflows, but it is not the core. The core is generating and interviewing synthetic consumers from your brief — and showing the evidence behind every theme.
From a focused pre-research cohort to several hundred in a single study (our largest to date ran 217). We are qualitative — for statistical significance at N>500, keep your quant panel.
Every conversation is scored with SHQI (12 deterministic metrics, no LLM in the scoring loop). Hybrid studies run the same guide on humans and show you the convergence per theme, so you can audit alignment per study.
No. It is built for conversational qualitative research, not static form collection. We run interviews with follow-ups and context capture.
Yes. We generate agency-grade PPTX with native charts — editable in PowerPoint or Keynote. The PDF is for executive distribution. Plus JSON / CSV exports for downstream analysis.
Treat them as a fast, directional complement — not a replacement for every human validation. In hybrid mode you see how synthetic mention rates and themes align with humans on the same metrics, with evidence traceable to transcripts.
Designed around how qualitative researchers actually work.
Run a directional pre-test on your next brief and hand your client a branded deck — without subcontracting a full panel or blowing the budget.
Run more studies, reduce pre-research turnaround, deliver stronger hypothesis maps and briefings to clients.
Use conversational synthetic interviews to pressure-test concepts and positioning before client presentations.
Test brand perception, product concepts, and unmet needs with a pre-research sprint before committing to real fieldwork.
Book a demo or start a study.
Tell us about your agency and the next study in your pipeline. We will show you the mechanism, the evidence trail and the deliverable — not just a slide deck.
Run multiple pre-research sprints in parallel and deliver faster to clients.
Walk through a real brand health or concept test end to end.
Explore how conversational synthetic interviews fit your concept and positioning work.