Test ideas with AI personas built from your own research
Why test ideas before you commission research?
Before you write the brief, before you recruit, before you spend, you need to know if you are heading in the right direction. Every team has hypotheses about how a segment will respond to a new concept, a price change, or a campaign direction — most never get tested until it is too late to change course.
Discuss’ Virtual Personas give you a conversational way to explore those questions before you commit. Built from your own primary research data instead of synthetic profiles or demographic assumptions, they let you probe, challenge, and stress-test ideas in minutes rather than weeks.
They are not a replacement for primary research — they are a smarter, faster starting point for it. And when a conversation surfaces a gap the data cannot reliably answer, the platform tells you exactly what study to run next.
What can you do with Discuss Intelligence Virtual Personas?
- Personas built from your dataConstructed from primary research your organization has already collected. Real respondents, real verbatims, real behaviors — not demographic assumptions or generic AI profiles.
- Conversational explorationAsk how a segment might respond to a new idea, a price point, or a product direction. Follow up, push back, and explore edge cases in an open, natural conversation.
- Ideation and hypothesis testingUse Virtual Personas in brainstorms, workshops, and early-stage concept development to pressure-test assumptions before committing to a research brief or creative territory.
- Bridge to primary researchWhen a conversation surfaces a question the data cannot reliably answer, the platform flags it and recommends the right qual or quant study — connecting hypothesis testing directly to research design.
How do Discuss Intelligence Virtual Personas work?
Build a persona
Use your existing research data to build a persona, grounded in real respondent voices and segmented by the demographics, behaviors, and attitudes captured in your studies.
Ask your question
Ask how the persona might respond to a new concept, a campaign idea, or a pricing change. The more specific the question, the richer the response.
Explore and probe
Follow up, push back, explore edge cases. The persona responds based on the actual attitudes and language captured in your primary research, not a generic AI prediction.
Identify gaps & commission research
When the conversation surfaces a question the data cannot answer, the platform flags it and recommends the right study — turning an insight into a research brief.
What do Discuss Intelligence Virtual Personas look like in practice?

Innovation workshop
A brand team develops three concepts for a Gen Z audience. Before briefing an agency, they spend 20 minutes with a persona built from two years of brand tracking — surfacing a price sensitivity concern and a values mismatch they wouldn't have caught until fieldwork six weeks later.

Campaign creative review
A marketing lead wants to pressure-test three campaign territories before investing in concept testing. She selects the right segment, asks how each would land, and walks into the creative review with a clear point of view in minutes.
How are Discuss Intelligence Virtual Personas different from synthetic AI persona tools?
| Feature | Discuss Virtual Personas | Stravito | Listen Labs |
|---|---|---|---|
| Data foundation | Your primary research: real respondents, real verbatims | Finished segmentation reports in a repository, not respondent-level data | AI-interview studies run on their platform only |
| Behavioral grounding | Yes, behaviors and attitudes from actual studies | Grounded in report summaries; the raw behavior behind them isn't in the system | Grounded in their interviews only. No live qual or external studies |
| Conversational depth | Yes, open-ended exploration with follow-up probing | Yes, interactive chat and virtual focus groups | Personas generated as research summaries, not interactive profiles |
| Connected to primary research | Yes, gaps surface study recommendations automatically | No, repository only; can't run new research to validate | Single method connection |
| Compounds over time | Yes, richer with every new study you run | Static until you upload new segmentation reports | Rebuilt per study; no persistent, enriching profile |
| Part of a research platform | Yes, connected to data collection and intelligence | No. Knowledge management, no data collection | Single method platform |

