What is synthetic research?

Synthetic research uses AI-powered personas that simulate how real buyers, customers, or market segments would respond to your research questions. It produces directional signal — insights to sharpen your hypotheses — before you invest in real primary fieldwork. Gather Synthetic runs AI-moderated interviews across any audience archetype in minutes, not weeks.

How is synthetic research different from real research?

Synthetic research generates directional signal using AI personas, while real primary research collects data from actual people. Synthetic pre-research is faster (minutes vs. weeks), cheaper, and ideal for hypothesis generation and stakeholder alignment. It is not statistically valid and should be used to focus and prioritize real fieldwork, not replace it. Gather offers both synthetic pre-research and real AI-moderated interviews with actual respondents.

What types of research can Gather Synthetic run?

Gather Synthetic supports 14 study types: Brand Perception, Product Feedback, Concept Testing, Competitive Intelligence, CX/NPS Deep Dive, Messaging & Claims Testing, Win/Loss Analysis, Market Segmentation, Pricing Research, Ad & Creative Testing, Customer Journey Mapping, Feature Prioritization, Churn & Retention Analysis, and Audience Discovery.

How much does synthetic research cost?

The first 5 synthetic interviews are free. After that, B2C audience interviews cost $0.50 each and B2B audience interviews cost $5.00 each. There is no subscription required.

How accurate is synthetic research?

Synthetic research is directional, not statistically accurate. Predictive accuracy and a statistical interval are only shown when established for the specific result. Treat findings as educated hypotheses to validate with real primary research, not as definitive measurements.

← All brands

AI avatar localization · PUBLIC RESEARCH BRIEF

HeyGenHow should a digital twin be governed after creation?

HeyGen describes consent-verified digital twins tied to a workspace and video translation with editing and review. The product pages also describe voice preservation and lip synchronization across languages. Those capabilities do not by themselves answer who may request, approve or retire a spokesperson’s twin.

Updated 2026-10-15 · Simulation results not yet generated

Test a question in Gather ↗Explore fictional demo →

CHANGE ONE THING. LEARN WHAT MATTERS.

Three questions for the GTM team.

For HeyGen, which permissions should govern who can request, edit, approve and publish a digital twin after the represented person has consented to its creation?

Set up this study →

What evidence would help a represented executive decide whether to approve a localized video: the translated script, voice sample, visual preview, named publisher or a combination?

Set up this study →

How should revocation and retirement work when a person changes roles or withdraws consent? Test expected controls and notification paths rather than assuming workspace ownership is sufficient.

Set up this study →

PROPOSED AUDIENCE

Who should weigh in?

Marketing, enablement, localization, executive communications, legal and identity-governance leaders at organizations considering a recurring digital spokesperson. Include the represented person, workspace administrator, requester and publisher. Proposed audience only.

TWO TIME HORIZONS

Trial today. A habit tomorrow?

Near term · 0–90 days

Use a fictional spokesperson and synthetic campaign to compare role-based approval flows, translated-script review and revocation explanations. Measure policy comprehension, approval confidence and unauthorized-use detection.

Longer term · 3–12 months

Follow authorized pilots through team changes, repeat localization and avatar retirement to identify governance failures that only appear over time. Distinguish creative throughput from identity-control quality.

What would make the result actionable?

Verify consent records, workspace roles, requester and approver logs, translation review, publication history, revocation timing and deletion or archival behavior. Use legal and represented-person review before any deployment involving a real likeness.

A Gather simulation returns hypothetical customer reactions. Quantifying revenue, traffic or retention needs actual business inputs and validation against observed behavior.

About HeyGen

Visit the company website ↗