---
title: "How to Start a Project on Minds | Minds"
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last_updated: "2026-10-11T04:33:04.779Z"
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  description: "Learn how the onboarding process works on Minds: from your first pilot project to seamless enterprise integration for research teams."
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Minds

October 9, 2026·Faq·Minds Team # **How to Start a Project on Minds** Learn how the onboarding process works on Minds: from your first pilot project to seamless enterprise integration for research teams. Starting a project on Minds begins directly in the workspace by creating an audience and setting up a study with your stimuli, such as copy, Figma prototypes, or scale questions. The Minds PRISM engine simulates directional responses based on modeled contexts, enabling preliminary feedback without the recruitment and incentive costs of physical panels. This guide walks you through the steps from an initial pilot project to structured scaling across your team. ## Who This Onboarding Guide Is For This overview is designed for insights leads, UX research leads, product managers, and marketing decision-makers preparing to adopt synthetic research methods. If you already know that synthetic audience simulations can accelerate your feedback loops and now want to understand the exact organizational and technical process, this guide provides a clear framework. It covers how to move from an initial hypothesis through a controlled pilot project to a scalable workspace structure without undermining established research standards. ## The Structured Workflow: From Workspace Setup to Your First Study Implementing Minds follows a three-step process designed for minimal setup time and maximum consistency. ### Step 1: Audience Definition and Modeling via Minds PRISM Every project is built on one or more audiences. An audience in Minds consists of individual Minds that represent specific demographic, psychographic, or behavioral traits. You create these entities through narrative profile descriptions, uploaded research reports, persona documents, or publicly accessible context links, where enabled for your workspace. Under the hood, the Minds PRISM reasoning and inference engine processes these data points. PRISM serves as the methodological foundation that maintains contextual consistency, ensuring simulated participants respond within their defined profile framework during qualitative deep-dive interviews and quantitative questionnaires. ### Step 2: Study Design and Stimulus Integration Once your audience is established, you configure your study. Minds is an end-to-end platform for commercial synthetic research, covering a broad spectrum of interaction types: - Qualitative exploration: Open-ended questions, exploratory follow-ups, and reactions to problem statements. - Quantitative surveys: Single-choice, multi-select, and custom scale questions. - Forced-choice methods: Valid trade-off analyses such as MaxDiff designs to prioritize features, claims, or pain points. - Multimodal stimuli: Direct integration of copy, images, campaign visuals, video assets, app flows, or Figma prototypes, where enabled. The study design allows you to test product and UX questions within the same workflow used to evaluate marketing and positioning concepts. ### Step 3: Analysis, Refinement, and Export Once the study completes, Minds delivers structured qualitative summaries alongside quantitative distributions and deterministic calculations. Because synthetic research results are always directional and context-dependent, they help eliminate weak variants early, sharpen core messaging, and validate hypotheses before committing budget to physical field tests or final rollouts. ## Comparing Implementation Approaches When implementing user feedback infrastructure, organizations typically face three paths: | Criterion | Traditional Panels & Recruiting | Pure Chatbot Prompts | Minds Synthetic Research Platform |
| :--- | :--- | :--- | :--- | | Lead time to launch | Several days to weeks for screening | Immediate | A few minutes for audience setup | | Supported methods | Comprehensive (qual, quant, MaxDiff) | Rudimentary free text only | Fully integrated (qual, quant, MaxDiff, Figma) | | Consistency & methodology | High, but expensive and slow | Very low, heavy hallucination | High consistency via Minds PRISM engine | | Marginal cost per iteration | High due to participant incentives | Low, but lacks research structure | Predictable within response tiers | | Evidence status | Primary physical evidence | Unstructured text fragments | Directional simulation data | Traditional panels provide real human observation but require fresh recruitment budgets for every minor copy change. Unstructured chatbots lack consistent persona grounding and do not support structured research designs like MaxDiff or scale questions. Minds bridges this gap as a full-fledged platform for commercial synthetic research. ## When Minds Is the Right Choice and Where the Limits Lie Minds is ideal for scenarios where speed, iteration frequency, and budget efficiency are critical: - Rapid pre-testing of positioning options, marketing claims, and value propositions. - UX and usability feedback on information architecture, Figma screens, and interaction concepts. - Feature prioritization via MaxDiff analysis prior to expensive software development cycles. - Packaging and visual testing before finalizing production budgets. Limits of synthetic research: Minds does not replace physical taste tests, regulatory clinical trials, high-precision price elasticity measurements, or political polling. Where legally binding representativeness or physical sensory testing is required, real-world field studies complement the Minds workflow at critical milestones. ## Next Steps for Your Team You can launch an initial project immediately. For flexible testing without commitment, Pay as you go offers prepaid responses at €0.12 (incl. VAT) or $0.12 (before US sales tax) per response with 10 saved audiences and unlimited workspace users. For expanded requirements, the Pro plan at 199 euros or dollars per named user per month (25 audiences per user, 5,000 pooled responses per user per month) provides an ideal starting point. Larger organizations can evaluate specific data requirements and custom tiers directly under an Enterprise agreement. Launch your first study now and set up your workspace directly via [Minds platform access](https://getminds.ai/?register=true). ## **Frequently asked questions**### **How does launching a first project on Minds work?** Starting a project on Minds begins by defining your target group as a reusable audience from descriptions, files, or links. Next, you create a study with qualitative or quantitative stimuli such as copy, wireframes, Figma links, or concepts. The proprietary Minds PRISM engine calculates directional signals based on the provided context data. ### **Can you test Minds in a contained pilot project first?** Yes, companies often start with a clearly defined test project, such as claim testing or a MaxDiff exercise for an upcoming product feature. With Pay as you go at €0.12 (incl. VAT) / $0.12 (before US sales tax) per response or the Pro plan at 199 euros per named user per month, such pilots can be run immediately before rolling out enterprise-wide. ### **What preparation and data are required for onboarding?** For workspace setup, existing persona documents, target audience descriptions, or links to current market research materials (where enabled) are sufficient. For the study itself, you upload the test material, such as Figma prototypes, app flows, or questionnaires with open-ended and scale questions. ### **How do you transition from a pilot project to enterprise use?** After successful initial studies, existing audiences in the workspace are shared as a central library. Enterprise customers customize response volumes and clarify specific customer data processing and deployment requirements for their dedicated workspace. ### **How does setting up Minds differ from traditional panel providers?** Instead of days-long recruitment and incentive processes, you build your audiences directly in Minds and run iterative studies with no waiting time. The generated results deliver directional, context-dependent decision support for UX, product, and marketing. [Minds](https://getminds.ai/)© 2026 Minds. Your target audience. AI-driven and grounded in transparent evidence. Build within minutes. 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