---
title: "How a Minds Demo Works: Walkthrough and Setup | Minds"
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Minds

October 23, 2026·Faq·Minds Team # **How a Minds Demo Works: Walkthrough and Setup** Learn how a live demo works at Minds: from initial onboarding and audience setup to running your own synthetic studies. A Minds demo provides a structured walkthrough of synthetic audience modeling, study setup, and analysis powered by the Minds PRISM engine. You will see live how qualitative and quantitative methods combine to deliver directional feedback on concepts, Figma prototypes, or messaging before committing to costly field tests. The following guide details how the session runs, what data you can bring, and how onboarding into the workspace works afterward. ## Who This Walkthrough of the Minds Process Is For This overview is designed for insights leads, product managers, UX research teams, marketing directors, and innovation strategists across B2C and B2B2C markets who are evaluating synthetic research methods. If your team regularly validates concepts, packaging designs, messaging variations, or product features, a guided demonstration offers the fastest way to thoroughly evaluate the platform. Decision-makers often wonder how synthetic research fits into existing market research processes. The demo clarifies where simulated audiences take the load off traditional panels, where recruitment costs can be eliminated, and which methodological boundaries need to be respected. ## Step by Step: The Process from Initial Call to Simulation A Minds demonstration is not a generic slide deck; it is an interactive working session tailored to your current projects. The process spans four clearly defined stages. ### 1. Aligning on Your Research Context We begin by assessing your typical target audiences, decision-making processes, and research cycles. We look at whether you primarily run early concept tests, plan prototype user testing, or require complex feature prioritization via MaxDiff. This forms the foundation for the focus of the demonstration. ### 2. Audience Modeling with the Minds PRISM Engine In the second step, we demonstrate how audiences are constructed in Minds. An audience consists of individual Minds that carry specific demographic, psychographic, and behavioral attributes. You will see how Minds are created from existing persona documentation, quantitative segmentation data, text descriptions, or links. Under the hood, Minds PRISM operates as an inference and reasoning engine that links context data with permissible research inputs to generate consistent, grounded response patterns. ### 3. Study Configuration and Execution Next, we set up a concrete study. Here, it becomes clear how Minds unifies qualitative and quantitative interaction models within a single platform: - Qualitative exploration: Open-ended free-text questions and dynamic follow-ups to uncover emotional drivers and barriers. - Scales and selection questions: Structured single-choice, multi-select, and Likert scales to measure purchase intent, clarity, or relevance. - Forced-choice methods: MaxDiff setups for statistically valid prioritization of value propositions, packaging elements, or feature scopes. - Stimuli integration: Incorporation of text drafts, image files, campaign decks, or interactive Figma prototypes where enabled for the workspace. ### 4. Analyzing and Interpreting Simulation Results Once the study launches, Minds delivers both aggregated and individual responses from the Minds. We demonstrate how to filter responses by segment, analyze qualitative rationales in detail, and export findings. Throughout this, the methodological scope is clearly defined: synthetic results serve as directional decision support in early to mid development stages, screening out weak variants before the final physical field phase. ## Comparing Evaluation Options: Synthetic Simulation vs. Alternatives Teams looking to gather feedback on product or marketing ideas typically weigh three options. Each has distinct strengths and boundaries: | Criteria | Minds Synthetic Platform | Traditional Online Panels | Ad-Hoc Chatbot Tools |
| --- | --- | --- | --- | | Turnaround Time | Minutes to hours | Several days to weeks | Minutes | | Cost Structure | Low response costs (0.12 euros per response) | High recruitment and incentive costs | Pure chat subscriptions without methodology | | Methodological Breadth | Qualitative, quantitative, scales, MaxDiff | Comprehensive (including field tests) | Open-ended text chat only | | Iteration Speed | Multiple iterations possible per day | Sequential, long lead times | Fast, but not reproducible | | Data Foundation | Structured audiences via Minds PRISM | Real recruited participants | Generic LLM base without panel logic | | Evidence Boundary | Directional and context-dependent | Statistically representative of target universe | Not sound for research purposes | Traditional panels remain essential for regulatory validation, sensory product testing, or high-precision price elasticity measurements for final investment decisions. Pure chatbot interfaces, on the other hand, fail at structured research designs because they lack panel consistency, deterministic scale calculations, and structured methodologies. Minds bridges the gap for agile, iterative pre-testing within a commercial synthetic research workflow. ## When Minds Is the Right Fit - and When It Isn't Minds delivers maximum value in scenarios where teams need rapid clarity across alternatives before committing budget to production, media spend, or expensive field surveys. ### Suitable Use Cases - Screening 10 to 20 positioning and messaging angles to identify the strongest core claims. - Packaging and claim tests for early optimization of shelf impact and brand fit. - Feature prioritization in digital product teams using MaxDiff designs. - Early UX feedback on information architecture and Figma click paths, where enabled. - Exploring niche segments or hard-to-recruit B2B2C audiences ahead of qualitative interviews. ### Unsuitable Use Cases - Regulated clinical or medical studies. - Binding political polling and representative population surveys. - Physical haptic and taste testing of consumer goods. - Final price-point estimations under real-world market transaction conditions. ## Pricing and Workspace Setup Minds offers transparent pricing with no hidden setup fees. A workspace supports unlimited team members and free viewers: - Pay as you go: 0.12 euros (or 0.12 US dollars) per response. Includes applicable VAT for German accounts. Includes 10 saved audiences per workspace with up to 200 Minds per audience, API, MCP, and standard integrations. Unused prepaid responses do not expire at month-end. - Pro: 199 euros monthly per named user (or 1,990 euros annually, VAT included) with 5,000 shared responses and 25 saved audiences per user per month. - Enterprise: Starting at 15,000 euros annually plus VAT for custom usage quotas, enhanced security, and deployment options. Registration is free and allows you to set up workspaces and audiences. Because the platform does not provide free simulations or test responses without credits, running studies requires purchasing responses via the prepaid model or a plan. ## Ready for Your First Test Run? Want to see how Minds PRISM models your target audiences and cuts your feedback cycles from weeks to hours? Schedule a session with our research specialists or set up your access directly. Get started now with [Minds registration](https://getminds.ai/?register=true) and configure your workspace for agile audience simulations. ## **Frequently asked questions**### **What is the structure of a standard live demo at Minds?** A Minds demo typically lasts 30 to 45 minutes and is structured into three parts: First, we align on your specific research questions and target audience requirements. Next, we demonstrate how to build an audience and set up a study directly in the user interface. Finally, we run a live simulation, analyze the resulting qualitative and quantitative responses, and discuss workflow implementation for your team. ### **What materials or stimuli can I bring to the demo?** You can bring your own marketing claims, product concepts, packaging designs, questionnaires, or Figma prototypes, provided these are enabled for your workspace. Alternatively, we can use standardized B2C or B2B2C scenarios. The PRISM engine processes text descriptions, documents, links, and image assets to establish realistic testing conditions for the simulated Minds. ### **How does the demo differ from self-serve trial access?** In the guided demo, we walk you specifically through advanced methodologies such as MaxDiff, qualitative depth interviews, and audience segmentations. A registered account lets you explore the interface independently. Registration is free, but it does not include complimentary responses or free simulations; executing studies requires purchasing responses via the pay-as-you-go model or through Pro and Enterprise plans. ### **What question types and research methods are showcased during the demo?** Minds covers qualitative and quantitative workflows in a single platform. During the demonstration, we showcase open-ended text questions, single-choice, multi-select, and scale questions, as well as deterministic choice methods like MaxDiff. You will see firsthand how the same audience is used for exploratory qualitative follow-ups and subsequent quantitative prioritization without switching tools. ### **How do I get access to the platform after the demo?** After the live presentation, you can create an account right away or have your team workspace configured. With the pay-as-you-go model at 0.12 euros per response, you can start without monthly fixed costs, while Pro plans starting at 199 euros per month or Enterprise contracts are available for recurring research needs. Access is activated immediately upon setup. [Minds](https://getminds.ai/)© 2026 Minds. Your target audience. AI-driven and grounded in transparent evidence. Build within minutes. 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