Frequently Asked Questions

For now, we're focused on three core methods, so you can match the right tool to any research question:

• Focus Groups: Moderated group discussions that surface dynamic reactions and tensions in rich, language-based responses.
• Surveys: Structured data at scale for a broader, more quantitative read.
• Interviews: One-on-one questioning for deep individual reasoning.

That said, we're working on expanding this to simulating decision making across a wide range of tasks — stay tuned!

Set up and run a complete study in seven easy steps:

1. Describe your audience. Define your target by age, geography, interests, and behaviors.
2. Choose a method. A survey for structured data at scale, an interview for deep individual reasoning, or a focus group for open-ended group dynamics.
3. Upload your data. Add any data you think should be used to fine-tune the results.
4. Review the research plan. Adjust and approve the generated discussion guide, survey questionnaire, or interview protocol before launching. You can also review and edit the participant panel itself.
5. Calibrate with human data (coming soon). Run a real study with a comparable human population to calibrate data gathering before kicking off the session, allowing you to use a relatively small sample and number of questions to drastically increase accuracy.
6. Watch insights emerge. Follow the discussion live, collect responses at scale, or probe individual reasoning.
7. Get a report. Instantly receive a full, structured report with built-in functionality for follow-up questions and instruments on any finding.

Hours, often just minutes! With no recruitment, scheduling, or incentive budget, you can test an idea, read the report, sharpen your questions, and run again the same afternoon.

Every study type produces a complete set of deliverables:

• A full transcript of the session.
• Insights and coded themes drawn from the conversation.
• An executive report covering the summary, key themes with supporting verbatim quotes, the main drivers and barriers, where participants agreed and diverged, and suggested next steps.
• A one-page strategic snapshot for quick sharing with stakeholders.
• An optional quantitative survey validation that tests your themes across a larger synthetic sample.
• A downloadable PDF of the whole thing, plus built-in functionality for follow-up questions and studies.

Each participant is modeled on real demographic, psychographic, and behavioral data, so the panel reflects how a specific audience segment actually thinks and talks.

As the underlying audience data updates, participants track real shifts in attitudes rather than staying frozen in time. You control the audience profile and panel size, and can review, edit, or regenerate individual participants before launch.

Our approach is backed by peer-reviewed research. One study found that over 90% of opinions expressed by human focus group participants were also generated by the AI model (Zhang et al., 2024); another, spanning 9,300 human participants, found 90% test-retest reliability in LLM-generated purchase-intent data (Maier et al., 2025).

Still, it's important to note that this is a simulation; Artificial Populations is not a replacement for human research. It's strongest for exploration and hypothesis refinement, and important findings should be sanity-checked before high-stakes calls.

See The Science page for the full research base.

Not at all. Traditional research is expensive and slow enough that most teams only ever explore part of the insight space. Artificial Populations gets you 80% of the way there in hours, so you can spend your live research budget on the final 20%: the edge cases, novel behavior, and high-stakes decisions that most need human nuance.

A typical chatbot will give you a reasonable guess about your audience in one voice, but Artificial Populations gets you a panel of participants with distinct profiles built on real behavioral data, traced to the specific place and people you're researching. You can even re-run the same study at scale to compare results — which you can't do with a one-off conversation with a chatbot.

Your inputs are used only to run your studies and generate your results. We never sell your data, and your research content is never used to train third-party AI models. Everything is encrypted in transit (TLS 1.2+) and at rest (AES-256), and you can delete individual projects (or your entire account and its data) at any time.

Full details including compliance documentation and our sub-processor list are available on our Security page, or write to info@artificialpopulations.com for more information.