Synthetic pre-research — built for qualitative research agencies

Synthetic pre-research in 30 minutes, not two weeks.

30–50 segmented respondents, interviewed in real conversation. You get a hypothesis map, spontaneous language, and segment prioritisation — with an agency-grade PPTX + PDF report, at ~10% the cost of the real study.

Speed
30 minutes
30–50 segmented synthetic respondents, end to end.
Deliverable
Agency-grade PPTX + PDF
Not a dashboard screenshot. The file you ship to your client.
Study modes
Synthetic or hybrid
Run synthetic-only, or mix in real respondents with Mirror View.
Illustrative scenario
Pre-research: new skincare concept
Sample layout — not a live client study.
Mode
Hybrid
Interviews
36
30 synthetic · 6 human
Top driver
Ingredient credibility
Strong across premium segment
Top barrier
Price vs pharmacy alt.
Limits everyday purchase
Conversation sample
When you think about skincare you trust, what comes first?
I look for ingredient transparency. I don't need a fancy bottle, I need to understand what's inside and why it should work for me.
Structured output
Driver
Ingredient-level credibility
Barrier
Premium price vs pharmacy alternative
Unmet need
Clear efficacy proof in everyday format
Traditional qualitative pre-research
Desk research + intuition, up to two weeks

Today, agency teams go into a briefing with secondary data and assumptions — because real pre-interviews cost as much as the study itself.

QualiSynth pre-research
30–50 conversational completes in 30 minutes

Segmented synthetic respondents, transcripts you can quote, and an agency-grade deliverable — before the real fieldwork even starts.

How it works

Three steps, same afternoon.

Built around the workflow of a research agency, not a survey platform. You keep the briefing discipline; we handle the sprint.

1. Brief the study

Define objective, target audience, brand context, and interview guide — the same inputs you already prepare for a real qual study.

2. Run conversational interviews

30–50 segmented synthetic respondents interviewed in real conversation, not a form. Add human respondents for hybrid Mirror View.

3. Ship the deliverable

Agency-grade PPTX + PDF with drivers, barriers, unmet needs, segment-level patterns, and traceable quotes.

Where it fits

QualiSynth accelerates qual — it does not replace it.

A clear map of where a research agency wins budget and time by using synthetic pre-research, and where they should keep their existing fieldwork.

Phase 1
★ QualiSynth core
Pre-research

Hypothesis map + spontaneous language + segment prioritisation. Walk into the briefing with evidence, not assumptions.

Phase 2
★ QualiSynth core
In-depth qual

Keep your IDIs and focus groups. Run a synthetic cohort in parallel to pressure-test segments with Mirror View.

Phase 3
Keep your existing stack
Quant validation

Use your panel partner for N>500. QualiSynth is qualitative; we do not claim statistical significance.

Phase 4
★ QualiSynth core
Concept / copy testing

Test 5 variants with 25 synthetic respondents per variant, in minutes, with a report per variant.

Phase 5
★ QualiSynth core
Client deliverable

PPTX + PDF generated natively — agency-grade, editable, with charts, quotes, and executive summary.

QualiSynth is the pre-research and deliverable layer of your existing workflow — not the replacement of your fieldwork or your panel.

Human vs synthetic

Synthetic is not a black box. Mirror View makes the comparison visible.

In hybrid studies, QualiSynth runs the same interview guide on humans and synthetics and compares them side by side — mention rates, themes, sentiment. You ship convergence and divergence, not AI claims.

Live example: hybrid study ChatGPT productivity

3 human + 18 synthetic respondents, same guide, real convergence.

Real dashboard excerpt, data anonymised.
Efficiency (driver)
Human 67%
Synthetic 61%
High convergence
Accuracy concerns (barrier)
Human 33%
Synthetic 28%
Aligned
Learning curve (barrier)
Human 33%
Synthetic 17%
Divergence — worth probing
Why this matters
  • 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.
What you ship

Built for the researcher who still has to present on Friday.

Every QualiSynth study produces the artefacts a research agency actually hands to a client — editable, traceable, and ready to walk into a boardroom.

Research workflow
Study setup and audience definition
Interview guide builder
Synthetic, human, and hybrid fieldwork
Conversation monitoring and evidence capture
Insight output
Drivers, barriers, and unmet needs
Segment-level patterns
Voice of consumer, traceable quotes
Structured data export (JSON / CSV)
Client deliverable
Agency-grade PPTX with charts and narrative
Executive PDF with radar and distribution
Mirror View report (hybrid studies)
Exportable insight bank per study
Why agencies use QualiSynth

Qualitative depth, without the two-week pre-research bottleneck.

Run a pre-research sprint the same afternoon you receive the brief.

Keep your existing IDIs / FGDs — add synthetic coverage on top.

Capture full conversations, not shallow form answers.

Ship PPTX and PDF with the same polish you would produce manually.

Mirror View makes human-vs-synthetic convergence auditable per study.

Designed around the agency researcher workflow, not a dashboard-first UX.

Conversations

Full transcripts with context, follow-ups, and signal detection.

Structured insights

Drivers, barriers, needs, and evidence — each linked back to the conversation.

Research-ready outputs

Agency-grade PPTX + PDF + data exports, ready to hand to the client.

Built for trust

Synthetic respondents should not feel like a black box. Hybrid studies include human-vs-synthetic comparison on shared metrics, and every insight can be traced to conversation evidence — the same standard you would expect from professional qual.

What QualiSynth is not

We are honest about what this is — and what it is not.

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.

Not a quantitative panel

Useful N is in the 20–200 range. If you need statistical significance at N>500, keep your panel partner — use us for the pre-work.

Not a replacement for human fieldwork

Synthetic respondents are a tool for the researcher. In hybrid studies we place them next to real respondents so you can see where they converge and where they diverge.

Not a black-box insights generator

Every insight in the report is traceable to the conversation that produced it. SHQI, Mirror View, full transcripts — visible and auditable.

Not a survey builder

We do not do static forms. We run conversational interviews with follow-ups, context, and spontaneous language capture.

Who it is for

Designed around the agency researcher workflow.

Primary
Boutique qualitative research agencies

Run more studies, reduce pre-research turnaround, deliver stronger hypothesis maps and briefings to clients.

In-house consumer insight teams

Test brand perception, product concepts, and unmet needs with a pre-research sprint before committing to real fieldwork.

Strategy and innovation consultancies

Use conversational synthetic interviews to pressure-test concepts and positioning before client presentations.

What makes it different

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.

Richer than surveys

Capture motivation, hesitation, nuance, and language that static forms miss.

Broader than classic qual

Go beyond small-sample qual by combining synthetic coverage with real respondents in the same study logic.

What teams typically learn
Which brand associations show up first and why
What blocks routine purchase even when attitudes are positive
Which needs are still underserved in the category
How segments differ in their language and priorities
See it live

15 synthetic consumers. One question. Instantly.

Ask anything — three segments respond simultaneously, so you can see how price-sensitive, mainstream, and premium consumers diverge on the same topic. Hover any avatar to see their profile.

Live panel · demo
15 synthetic consumers · 3 segments
Ask anything — all 15 respond simultaneously in ~3 seconds
15 respondents = demo of the engine. A real pre-research study runs 30–50, interviewed end to end in ~30 minutes.
From demo to deliverable

The demo is the first 3 seconds. This is what you ship to the client.

A real QualiSynth pre-research study produces a full transcript bank, Mirror View comparison, and an agency-grade report. See what the deliverable looks like before you talk to us.

Sample study — hybrid

Real hybrid study on ChatGPT productivity perception. 3 human + 18 synthetic respondents, full methodology, anonymised.

Open sample study
Sample Mirror View

Convergence and divergence of humans vs synthetics on the same interview guide — the exact screen a research lead audits in every hybrid study.

See Mirror View
Sample PPTX + PDF

Agency-grade deliverable: 10-slide PPTX with charts, narrative, and traceable quotes. PDF executive brief with radar and distribution.

Download sample report
FAQ

Clear answers for agency leads evaluating the platform.

Is QualiSynth a survey tool?

No. It is built for conversational qualitative research, not static form collection. We run interviews with follow-ups and context capture.

Can it work with real participants only?

Yes. Studies can be human-only, synthetic-only, or hybrid. Most agencies start synthetic for pre-research and add human in phase 2.

How do you validate the synthetic respondents?

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.

What if we need statistical significance?

Use your quant panel partner for N>500. QualiSynth is qualitative — useful N is 20–200. We are honest about this: we are the pre-research and concept-testing layer, not the tracker.

Is the report editable?

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.

Should we trust synthetic respondents?

Treat them as a fast, directional complement — not a replacement for every human validation. QualiSynth makes the comparison visible: in hybrid mode you see how synthetic mention rates and themes align with humans on the same metrics, with evidence traceable to transcripts.

Get in touch

Book a demo or start a conversation.

Tell us about your agency and the next study in your pipeline. We will show you how a QualiSynth pre-research sprint fits — guide design, fieldwork modes, and the deliverable your client actually reads.

Boutique agencies

Run multiple pre-research sprints in parallel and deliver faster to clients.

In-house insight teams

Walk through a real brand health or concept test end to end.

Strategy consultancies

Explore how conversational synthetic interviews fit your concept and positioning work.