DIGITAL TWINS
Modeled Communities builds synthetic research panels from interviews with real consumers, supporting concept pretests and exploration before or after a study.
PRODUCT PROFILE
Breakthrough Research documents Modeled Communities as custom synthetic respondent panels built from interviews with people connected to a client's brand or category. The offering is positioned for pre-testing, iteration and follow-up questions alongside a human research program, rather than as a substitute for it.
Information from the company's product materials.
The supplier describes individually crafted modeled respondents, each developed from an extensive interview with a real person in the relevant audience.
Modeled Communities are built by Breakthrough Research's in-house innovation team for its existing research clients.
The provider describes concept screening, messaging iteration, questionnaire development, hypothesis exploration and difficult-to-recruit audience questions before, during or after a study.
The supplier directs prospective users to a Breakthrough Research representative or its company contact channel. It does not list public self-service pricing.
Methods described by the company.
Breakthrough Research says it works with a client to identify relevant inputs and decision drivers, then uses in-depth interviews with people in the target audience to create individual modeled respondents.
The published use cases include screening a long list of concepts, pressure-testing positioning and messaging, refining a questionnaire before fielding, and exploring new hypotheses after a conventional study.
The supplier frames modeled-community work as a way to make a human research program more targeted, with live respondents retained for higher-risk decisions.
Data and settings the company says teams can choose.
Breakthrough Research says each modeled respondent is based on an extensive interview covering a real person's personal history, motivations, category experience and decision-making patterns.
The supplier describes building a community from people who engage with the client's brand or category. A model created for one client context should not be assumed to fit an unrelated audience or decision.
Results reported by the company, with details about how they were tested.
Breakthrough Research says its internal research and development found modeled respondents produced answers consistent with real human respondents.
This is a supplier statement without a published test protocol, sample size, task definition, population, error measure or independent report. It supports a description of the provider's development work, not a general accuracy claim.
The provider identifies lower-risk concept screening, messaging work and questionnaire refinement as appropriate uses, and says decisions with significant commercial consequences should still be validated with human respondents.
A modeled respondent reflects the interview material and selected client context used to create it. Its contribution should be interpreted as a structured extension of those inputs, not as new independent human sample information.
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.
