A Minds simulation run refers to the structured execution of a study across defined audiences on the Minds platform. It generates synthetic qualitative and quantitative responses for iterative testing.
A Minds simulation run is the systematic execution of a defined research study across synthetic audiences within the Minds platform. It processes qualitative questions, scale ratings, or choice-based designs through the underlying reasoning engine, transforming stimuli into directional insights for marketing, product, and insights teams.
A Minds simulation run unites in-depth qualitative exploration and quantitative survey methods within a closed workflow. At the outset, the research team defines the research objective within a Study. Stimuli can include text copy, positioning statements, questionnaires, image files, video assets, app click paths, or Figma prototypes, provided these are enabled in the workspace.
In parallel, the target group is selected: an Audience in Minds consists of multiple individual synthetic profiles, known as Minds. Each Mind is powered by Minds PRISM, the inference and modeling engine that blends publicly available context with authorized research inputs.
Once the run is launched, the platform presents the configured tasks to each individual Mind within the audience. Minds supports diverse interaction formats, ranging from open-ended text answers and standardized scale ratings to multiple-choice formats and advanced methods like MaxDiff. The engine computes individual responses deterministically and context-specifically. At the conclusion of the run, the system aggregates the responses into structured datasets, quantitative metrics, and thematic reports ready for direct analysis.
A German consumer goods brand based in Köln is planning the relaunch of an organic oat milk product and wants to evaluate three distinct packaging designs alongside two claim variations. Rather than immediately commissioning a physical panel survey with high recruitment expenses, the brand team sets up a Minds simulation run.
The team selects an Audience of 250 Minds representing urban consumers in the DACH region focused on sustainable nutrition. As stimuli, the team uploads the packaging layouts and marketing messages, configuring a mixed methodology: open-ended questions capturing initial visual impressions, Likert scales assessing purchase intent, and a MaxDiff module prioritizing sustainability seals.
During the run, the Minds evaluate the variations simultaneously. The results show clear preferences for a minimalist design and provide detailed qualitative rationales highlighting potentially confusing copy on the back panel. The brand optimizes the design prior to final print production.
Minds serves as a comprehensive platform for commercial synthetic research, integrating the entire study lifecycle into a unified infrastructure. The foundation of every run is the proprietary Minds PRISM engine, built to produce consistent, source-grounded responses within the selected research framework.
Powered by this engine, Minds enables both individual qualitative interviews and quantitative surveys capturing hundreds or thousands of responses. A simulation run does not replace regulatory validation studies, clinical trials, or representative national statistics. Instead, it serves as a directional tool to test concepts, UX drafts, and messaging iteratively before budgets are committed to physical field research or live media campaigns.
Scaling is managed transparently via workspace allowances: from Pay as you go prepaid response balance with up to 10 saved audiences to Pro with monthly response quotas, up to Enterprise solutions tailored to custom requirements.
Audience in Minds: A reusable group of synthetic personas reflecting specific demographic or psychographic characteristics.
Minds PRISM: The proprietary reasoning and modeling engine that governs the behavior and responses of synthetic personas.
Synthetic Response: A single generated response from a Mind to a question, rating scale, or stimulus task.
Study: The configured research environment in Minds that packages questions, stimuli, and methodologies for a run.
MaxDiff Simulation: A quantitative method within a run to determine preferences through repeated best-worst choices.
Directional Research: A research approach that identifies qualitative tendencies and context-dependent directional signals rather than claiming universal statistical representativeness.
A Minds simulation run enables insights and product teams to conduct rigorous hypothesis testing and concept validation without incurring upfront operational recruitment friction. Book a consultation with our team at getminds.ai to see how to configure synthetic studies in your workspace.
Frequently asked questions
What is a Minds simulation run?
A Minds simulation run is the technical and methodological execution of a synthetic research study within the Minds platform. Previously configured synthetic personas, known as Minds, answer qualitative or quantitative stimuli via a reasoning engine.
How does a simulation run differ from traditional online panels?
Traditional panels survey recruited human participants over days or weeks. A simulation run on Minds uses synthetic profiles for rapid, iterative testing prior to physical fielding, delivering directional insights and eliminating upfront recruitment costs.
When should you use a Minds simulation run?
A simulation run is ideal for marketing, innovation, and UX teams looking to test ad copy, packaging designs, app flows, hypotheses, or MaxDiff preferences before committing budget to field studies.
How should data privacy requirements be evaluated for a simulation run?
Requirements regarding data residency, server locations, security, and legal frameworks must be evaluated and configured individually for each workspace, as blanket guarantees are not provided.
