---
title: "What Can the Minds Platform Do in Everyday Research? | Minds"
canonical_url: "https://getminds.ai/faq/minds-plattform-workflow-und-features"
last_updated: "2026-10-03T15:51:46.113Z"
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  description: "Learn how the Minds platform connects qualitative and quantitative audience simulations, PRISM inference, and workflows."
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  "og:title": "What Can the Minds Platform Do in Everyday Research? | Minds"
  "twitter:description": "Learn how the Minds platform connects qualitative and quantitative audience simulations, PRISM inference, and workflows."
  "twitter:title": "What Can the Minds Platform Do in Everyday Research? | Minds"
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Minds

September 29, 2026·Faq·Minds Team # **What Can the Minds Platform Do in Everyday Research?** Learn how the Minds platform connects qualitative and quantitative audience simulations, PRISM inference, and workflows. The Minds platform is a specialized simulation environment for commercial synthetic market research, bringing qualitative exploration and quantitative testing methods together into a connected workflow. Powered by the Minds PRISM inference engine, the system generates directional feedback on concepts, messaging, and designs to de-risk decision cycles ahead of expensive field studies. The following overview details the architecture, feature set, and methodological use cases for research, innovation, and procurement leaders. ### Who this platform overview is for This guide is designed for insights managers, product strategists, innovation teams, and procurement leads seeking a scalable infrastructure for iterative audience research. Teams frequently face the challenge that traditional test cycles with recruited participants require weeks of lead time and tie up substantial recruitment and incentive budgets. When testing early product concepts, positioning statements, campaign claims, packaging variants, or Figma screens, teams need fast, reliable directional decisions without launching a full field study every time. Minds provides a closed working environment where audience profiles can be operationalized, stimulated, and surveyed according to scientific standards. ### The end-to-end workflow: From raw data to synthetic simulation Traditional market research frequently suffers from workflow disconnects: personas sit in static PDF decks, surveys run in siloed tools, and qualitative in-depth interviews require separate recruitment vendors. Minds breaks down these silos by mapping the entire process across four sequential steps. First, defining Minds and Audiences. Users can feed existing CRM data, qualitative interview transcripts, persona profiles, website links, or quantitative segmentation reports into the workspace. From this data, the system generates individual Minds endowed with well-founded behavioral patterns, attitudes, and sociodemographic contexts. These Minds are grouped into reusable Audiences in Minds. Second, setting up the study design. Within a Study, researchers formulate research questions and attach stimuli. These can include copy, positioning statements, PDF decks, image files, video content, or direct Figma prototypes, provided they are enabled for the respective workspace. Third, the Minds PRISM engine handles inference and simulation. PRISM is the proprietary foundation behind every Mind. It combines publicly available context with the user's uploaded internal research inputs. PRISM ensures that simulated individuals respond consistently to stimuli, provide coherent rationales, and adhere to sound decision logic. Fourth, analysis and reporting. Minds delivers more than just open-text feedback; it aggregates structured data points across standardized metrics, rating scales, single- or multi-select options, and complex choice experiments. Results are immediately ready for export, cross-segment comparisons, and further strategic analysis. ### Methodological depth beyond simple chatbot interactions A key differentiator of Minds compared to standard AI interfaces is its methodological versatility. Minds is not a simple chat assistant, but a simulation platform designed for mixed quantitative and qualitative research methods. In qualitative research, Minds enables detailed in-depth interviews, objection handling, and open-ended concept exploration. Researchers can understand why a specific segment rejects a value proposition or what emotional associations a packaging design evokes. In quantitative research, Minds supports deterministic calculations, standardized Likert and rating scales, as well as advanced methods like MaxDiff (Maximum Difference Scaling). MaxDiff allows teams to prioritize feature lists, value propositions, or brand values by repeatedly forcing simulated Minds to select the most and least attractive options from a set. Because all of these question types run on the same PRISM inference engine, manual data transfers across disparate analysis tools are eliminated. | Platform layer | Functional components | Typical study artifacts |
| --- | --- | --- | | Audience layer | Minds, Audiences in Minds, context uploads | Segmentation reports, personas, research notes | | Stimulus layer | Text, images, video, web URLs, Figma prototypes | Campaign claims, wireframes, packaging concepts | | Interaction layer | Minds PRISM inference engine | Open-ended questions, rating scales, multi-select, MaxDiff | | Analysis layer | Aggregation, segment comparisons, data export | Preference rankings, rationale patterns, CSV export | ### Realistic alternatives and methodological positioning When evaluating market research technology, teams typically consider three approaches: 1. Traditional physical online access panels: These deliver representative samples of real people and remain indispensable for legally regulated studies, clinical trials, final price elasticity measurements, or political polling. However, they require large recruitment budgets, incentives, and multi-week field times, making early-stage iterative testing cost-prohibitive. 2. Generic chatbots and base language models: These are fast and inexpensive to access, but lack structured market research methodology. They miss consistent audience persistence, standardized analysis frameworks like MaxDiff, and a source-grounded inference engine like PRISM. Responses are often superficial or inconsistent. 3. The Minds platform: It bridges the gap between generic tools and physical panels. Minds does not replace physical panels for regulatory or representative final validations, but it substantially reduces the need for expensive field tests during upstream development, testing, and iteration phases. Teams save on recruitment and incentive costs by screening out weak variants before going to the field. ### When Minds is the right choice and where its limits lie Minds is ideal for: - Fast, iterative concept and positioning tests across marketing, innovation, and product development. - Systematically benchmarking multiple copy, design, or claim variants against one another. - Early user testing of Figma click-paths and app concepts prior to usability labs. - Product feature prioritization using MaxDiff methodology. - Pre-filtering weaker ideas so that expensive physical panel studies are reserved only for top contenders. Minds is explicitly not intended for: - Clinical, medical, or regulatory approval studies. - Representative measurements of exact price elasticity with statistical certainty. - Political election polling and demographic forecasting. - Physical sensory testing where tactile, taste, or olfactory evaluation strictly requires human sensory receptors. Simulation results on the Minds platform are directional, context-dependent decision aids. They enable sound strategic choices in agile corporate workflows without taking the risk of launching unvetted concepts into the market. ### Transparent pricing models for research teams Minds relies on predictable monthly allowances rather than confusing per-survey pricing. Each plan includes a dedicated monthly response volume: - Free: 3 Study responses per month with up to 60 synthetic responses for initial testing. - Individual: 59 euros or dollars per month with 500 synthetic responses for individual analysts. - Team: 99 euros or dollars per seat per month with a minimum of one seat, including 4,000 pooled responses per seat for collaborative workflows. - Enterprise: Custom response volumes, expanded workspaces, and dedicated onboarding for global organizations. Organizations can evaluate the platform directly and set up custom audience scenarios without lengthy procurement cycles. Start your synthetic market research workflow and register directly via [test Minds](https://getminds.ai/?register=true) to run initial audience simulations for your active projects. ## **Frequently asked questions**### **Which core features does the Minds platform offer research teams?** The Minds platform serves as an end-to-end infrastructure for commercial synthetic market research. Teams create Minds based on custom descriptions, uploaded documents, or research notes, and organize them into reusable Audiences. Building on this foundation, qualitative in-depth interviews, structured quantitative surveys, and methods such as MaxDiff can be executed within connected Studies. The proprietary inference engine Minds PRISM ensures consistent, source-grounded response patterns across the entire course of a study. All results are designed as directional decision support before physical panels or field tests are commissioned. ### **How does the operational workflow from data to a finished Study work in Minds?** The workflow begins by defining relevant audience characteristics. Users upload existing segmentation reports, CRM notes, or persona profiles to generate Minds and configurable Audiences in Minds. Next, a Study is set up containing stimuli such as copy, visual layouts, or Figma prototypes. Simulated profiles then interact with the content through standardized or open-ended question types. Minds calculates quantitative metrics and delivers qualitative rationales in a single pass, which can then be exported and analyzed in a structured format. ### **Which qualitative and quantitative question types does Minds PRISM support?** Minds PRISM covers a broad spectrum of interaction formats rather than being limited to simple chat dialogues. The platform handles open-ended free-text questions, single-choice, multi-select, and rating scales, as well as deterministic calculations and complex choice designs. Executable methods like MaxDiff allow teams to simulate preferences and feature prioritization. All query types leverage the same PRISM foundation, ensuring qualitative argument chains and quantitative distributions remain directly comparable in a unified study environment. ### **How does Minds integrate design prototypes and Figma files into test scenarios?** When enabled in the workspace, teams can embed Figma links, image files, web pages, app click-paths, and ad creatives directly as stimuli in a Study. The synthetic Minds evaluate these visual and structural assets within the context of their defined profile. This enables iterative testing of user flows, information hierarchies, or packaging designs before prototypes go into costly usability labs with recruited participants, saving lead time on UX and product decisions. ### **How does Minds differ from isolated point tools for UX and survey testing?** Traditional point tools often cover only isolated functions like pure survey hosting, transcription, or participant recruitment. Minds unites audience creation, qualitative exploration, quantitative rating scales, MaxDiff preference testing, and stimulus testing in a single connected system. Specialized tools for physical recruitment or lab observation serve as optional additions for final validation, while Minds powers the fast, upstream iteration cycle without recurring recruitment fees. ### **What pricing models are available and how can teams test Minds?** Minds offers tiered plans based on monthly response allowances. The Free plan includes 3 Study responses per month with up to 60 synthetic responses. The Individual plan is 59 euros or dollars per month for 500 responses. The Team plan costs 99 euros or dollars per seat per month with 4,000 pooled responses per seat and a minimum of one seat. For larger organizations, Enterprise plans provide custom capacity. Getting started is possible directly via registration. [Minds](https://getminds.ai/)© 2026 Minds. Your target audience. AI-driven and grounded in transparent evidence. Build within minutes. 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