Published · Company documentation and reported results.
What would change if you switched?
The documentation describes synthetic personas generated from audience definitions. Platform and API. Confirm current plan with provider. A replacement needs to fit the question you are studying, the data you can supply and the outputs you need. The table gives the documented starting point for each product.
Other synthetic respondents tools
| Product | Research use | Data inputs | Access |
|---|---|---|---|
| Delve AI Synthetic Users | AI-generated participants for surveys, interviews and product-concept feedback. | The provider connects its synthetic-user offer with its customer-persona products. | Subscription. Advertised from US$99/month for 100 synthetic users; confirm inclusions. |
| Qualtrics Synthetic Panels | Synthetic survey responses within Qualtrics, with documented survey-feature compatibility. | Qualtrics describes a proprietary model trained on survey responses. Its documented panel covers the US general population in English. | Subscription credits. Edge Qualtrics Audiences credits through an account executive. |
| Toluna Synthetic Personas | Synthetic survey-taking personas for screening claims, ideas, flavors and brand messages. | Toluna describes anonymized first-party panel data as the basis for its synthetic personas. | Contact sales. Discuss scope with provider. |
Delve AI Synthetic Users
The workflow starts by selecting personas, setting a target audience and choosing a panel size. The supplier also documents filters for segmenting a panel by attributes such as location and distribution. Delve AI documents qualitative and quantitative studies using questions and uploaded materials, with follow-up questioning available after a response. The product walkthrough describes responses organized into analytics, transcripts, themes and reports, alongside persona-level reports.
Public workflow guidance, not a benchmark result: The supplier materials used for this profile describe inputs, panel generation and research outputs, and recommend validation and cross-checking. They do not state a numerical accuracy result or study design for Delve AI Synthetic Users. The public material describes the workflow and its limits. It does not report how closely responses match a target population or predict outcomes.
Delve AI states that real users can provide unexpected feedback and that qualitative research with actual users remains the more reliable way to understand authentic audience behavior. The supplier's guidance explicitly cautions against basing critical product or marketing decisions on synthetic data alone.
Compare with Synthetic Users · Original product source · Method and evidence sources
Qualtrics Synthetic Panels
Researchers select a Synthetic Panel in the distribution flow, choose a response count and can apply documented targeting and quota controls. The supplier documents volumes from 50 to 10,000 responses. The supplier says the feature is most suited to forward-looking and attitudinal questions about preferences, intent, features and reactions, when the question provides sufficient context. Qualtrics documents a Response Type field for identifying synthetic responses in the platform's reporting and data workflow.
Published validation approach, without a public product benchmark: Qualtrics' synthetic-data guidance describes checking distributions, correlations and patterns against human data, alongside privacy and re-identification checks. The supplier material reviewed does not give a numerical accuracy result or a full study design for Synthetic Panels itself. The documentation supports a validation workflow, not a general performance conclusion. Qualtrics also recommends combining synthetic and human evidence when confidence is needed for a consequential decision.
The documented general panel is limited to the US general population and English. It should not be treated as a substitute for a different market, language or narrowly screened population without provider-specific evidence. Qualtrics says Synthetic Panels is less suited to recalled past behavior, brand awareness or questions about personal experiences. Its documentation also lists survey features that are unsupported or have limitations.
Compare with Synthetic Users · Original product source · Method and evidence sources
Toluna Synthetic Personas
The supplier documents Synthetic Personas as survey respondents used to evaluate creative, claims, ideas, flavors, product attributes and brand messaging in its automated test products. Toluna's Claims Test Instant announcement describes using multiple MaxDiff exercises within a survey workflow. Its creative-testing product documents quantitative results for advertising stimuli.
No product-specific performance result in the sources listed here.
Toluna describes Synthetic Personas within several automated research products. Claims Test Instant and Creative Pre-Test Instant use different exercises and outputs; their product descriptions define the scope of those workflows.
Compare with Synthetic Users · Original product source · Method and evidence sources
Other approaches to the same research question
These tools share a documented use case with Synthetic Users, but use a different broad method. Their study design and data requirements need a separate comparison.
- Fairgen Twins — Digital twins. Simulated respondents from partner audiences or your own quantitative and qualitative research.
- Yabble Virtual Audiences — Audience simulation. AI-generated audiences for exploratory research and concept feedback, including visual stimuli.
Synthetic Users method and evidence · Plan a comparison using your own study · Editorial standards