DIGITAL TWINS
Creates modeled audience participants grounded in interviews, supporting message exploration and preparation for further research.
PRODUCT PROFILE
AYA / Ask Your Audience documents an AI-native audience-research workflow centered on structured briefs and Human Digital Twins. The provider frames outputs as directional evidence for hypothesis generation, comparison and prioritization, with explicit boundaries for high-stakes or fast-changing decisions.
Information from the company's product materials.
AYA describes Human Digital Twins built from an in-depth interview with a real, consented participant and a structured profile.
The public methodology describes a workflow for structured briefs, synthetic feedback and directional audience evidence.
The provider advises using outputs for hypotheses, comparisons and prioritization rather than as a guarantee of an outcome.
The supplier's public site links to product features, pricing and a demo. Current access terms should be checked with the provider.
Methods described by the company.
AYA says each study begins with an audience, context, decision, stimulus, constraints, success criteria and the action that could change based on the result.
The provider describes explicit audience framing, structured rubrics and cross-segment comparison as controls intended to reduce ambiguity and support interpretation.
AYA's documented responsible-use framing places the product in early decision work: generating hypotheses, comparing alternatives and prioritizing what to investigate further.
Data and settings the company says teams can choose.
The supplier says each Human Digital Twin is based on an in-depth interview with one real participant who agreed to take part.
AYA describes a profile containing more than 120 data points across eight customer-facing categories for each twin.
Results reported by the company, with details about how they were tested.
AYA reports 87% average alignment between Human Digital Twin responses and the people represented across themes, preferences and reasoning.
The supplier explicitly frames this as directional supporting evidence, not a promise of exact wording, statistical representativeness or commercial outcomes. The public methodology does not publish the full test design, sample or subgroup results.
AYA identifies vague briefs, broad audiences and thin stimuli as conditions that can weaken results. The documented brief structure is therefore material to any interpretation.
The provider cautions against relying on this approach alone in rapidly changing markets, highly localized settings, regulated categories, or medical, legal and other high-stakes decisions. It recommends human validation or market data in those cases.
Offers exploratory conversations with synthetic personas.
Atani.ai: offers research using AI twins instantiated from individual interview data.
Builds digital twins from interviews with people matching a target customer profile. Teams can use these audiences for surveys, focus groups, concept and usability testing, and pricing exploration. Available through a company demo.
