Synthetic Users (syntheticusers.com) platform help — run AI-moderated research studies (problem-exploration and concept-testing interviews) against synthetic participants instead of recruiting real people, grounded in your own data via RAG, with insights reports, saturation scoring, and a full REST API (Bearer auth, Python + TypeScript SDKs, SSE streaming, PDF export). Use when setting up a Synthetic Users study or audience, interpreting a synthetic interview report, grounding participants in your own customer data, pulling study transcripts or summaries via the API, wiring the create-study to interview to summary flow into a pipeline, or judging whether a synthetic 'yes' is real demand. Do NOT use for comparing idea-validation or persona tools across the market (use /sales-idea-validation) or analyzing real-customer NPS/VoC feedback (use /sales-customer-feedback).
Install with
Claude CodeCodexCursorGitHub CopilotGemini CLI
Supported by the Atlas install prompt. Skill-specific requirements vary.
Skill stats
Skills1CategorySalesStars0
About this skill
Synthetic Users (syntheticusers.com) platform help — run AI-moderated research studies (problem-exploration and concept-testing interviews) against synthetic participants instead of recruiting real people, grounded in your own data via RAG, with insights reports, saturation scoring, and a full REST API (Bearer auth, Python + TypeScript SDKs, SSE streaming, PDF export). Use when setting up a Synthetic Users study or audience, interpreting a synthetic interview report, grounding participants in your own customer data, pulling study transcripts or summaries via the API, wiring the create-study to interview to summary flow into a pipeline, or judging whether a synthetic 'yes' is real demand. Do NOT use for comparing idea-validation or persona tools across the market (use /sales-idea-validation) or analyzing real-customer NPS/VoC feedback (use /sales-customer-feedback).
Quick start
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Synthetic Users (syntheticusers.com) platform help — run AI-moderated research studies (problem-exploration and concept-testing interviews) against synthetic participants instead of recruiting real people, grounded in your own data via RAG, with insights reports, saturation scoring, and a full REST API (Bearer auth, Python + TypeScript SDKs, SSE streaming, PDF export). Use when setting up a Synthetic Users study or audience, interpreting a synthetic interview report, grounding participants in your own customer data, pulling study transcripts or summaries via the API, wiring the create-study to interview to summary flow into a pipeline, or judging whether a synthetic 'yes' is real demand. Do NOT use for comparing idea-validation or persona tools across the market (use /sales-idea-validation) or analyzing real-customer NPS/VoC feedback (use /sales-customer-feedback).
About this listing
Category
Sales
Reported license
Not specified
Listing language (estimated)
English
Review status
Not individually reviewed
Agent compatibility
Atlas installation supports Claude Code, Codex, and Cursor. Skill-specific dependencies and features are checked during setup.