Published · Company documentation and reported results.
What would change if you switched?
The provider connects its synthetic-user offer with its customer-persona products. Subscription. Advertised from US$99/month for 100 synthetic users; confirm inclusions. 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 |
|---|---|---|---|
| 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. |
| Synthetic Users | Persona-based research studies, interviews and surveys with developer API access. | The documentation describes synthetic personas generated from audience definitions. | Platform and API. Confirm current plan with provider. |
| 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. |
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 Delve AI · Original product source · Method and evidence sources
Synthetic Users
Synthetic Users documents audiences containing demographic, psychographic, behavioral and contextual traits. Synthetic users are created from those audience definitions and carry identity, personality and context into a study. The provider describes conversational interviews based on study goals, including dynamic follow-up questions, transcripts and theme extraction. It also documents questions asked across all interviews in a study. The documented analysis path moves from individual responses to summaries, knowledge graphs, reports and follow-up analysis. Complete studies and summaries can be exported from the documented workflow.
Public workflow documentation, not a benchmark study: The documentation reviewed describes how to configure audiences, conduct studies and generate analysis. It does not state a public hold-out evaluation, numerical accuracy result or comparative validation design for the platform's synthetic research outputs. The material describes the research workflow and its settings. It does not report response accuracy or decision performance.
The provider says that responses are based on the persona and study context. The scope and quality of the audience definition, supplied material and interview design therefore remain central to how an output should be read. The public documentation explains functionality and analysis but does not provide a benchmark that would support a general claim about accuracy or population-level validity.
Compare with Delve AI · 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 Delve AI · Original product source · Method and evidence sources
Other approaches to the same research question
These tools share a documented use case with Delve AI, but use a different broad method. Their study design and data requirements need a separate comparison.
- Aaru Behavior simulation — Audience simulation. Population simulations for product, pricing, messaging and strategic decisions.
- Electric Twin Synthetic audiences — Audience simulation. An audience workspace for asking new questions of models built around customer research.
- Fairgen Twins — Digital twins. Simulated respondents from partner audiences or your own quantitative and qualitative research.
Delve AI Synthetic Users method and evidence · Plan a comparison using your own study · Editorial standards