PRODUCT COMPARISON
Qualtrics Synthetic Panels vs Synthetic Users
Qualtrics generates synthetic responses within its survey distribution workflow. Synthetic Users organizes audience-defined personas, projects and studies, with interviews, surveys and developer API access.
Qualtrics documents a US general-population panel in English and survey-feature restrictions. Synthetic Users describes an audience-configured research workflow. The question is whether the documented audience, question types and outputs match the study, rather than whether both products use AI.
Published · Based on the company sources linked below.
Product records: 6 September 2026. Method and evidence sources linked below.
| Compare products | QualtricsSynthetic Panels | Synthetic UsersSynthetic Users |
|---|---|---|
| Product category | Synthetic respondents | Synthetic respondents |
| Product | Synthetic Panels | Synthetic Users |
| Overview | Synthetic survey responses within Qualtrics, with documented survey-feature compatibility. | Persona-based research studies, interviews and surveys with developer API access. |
| Data grounding | Qualtrics describes a proprietary model trained on survey responses. Its documented panel covers the US general population in English. | The documentation describes synthetic personas generated from audience definitions. |
| Access | Subscription credits | Platform and API |
| Pricing | Edge Qualtrics Audiences credits through an account executive | Confirm current plan with provider |
| Research method | 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. | 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. |
| Validation evidence | 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. | 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. |
| Documented scope | 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. | 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. |
| Method and evidence sources | ||
| Primary source | Provider documentation | Provider documentation |