Minds Target Audience Simulation Platform FAQ

Minds is an end-to-end commercial synthetic research platform that combines qualitative and quantitative methods, powered by the Minds PRISM reasoning engine. It enables teams to simulate target audience reactions to copy, designs, and concepts directionally before committing resources to live recruitment or physical testing panels.

The following guide and detailed questions address the technical architecture, methodological breadth, pricing, and operational boundaries of Minds for procurement managers, insights leaders, and innovation teams evaluating the platform.

Who This Evaluation Guide Is For

This technical and operational overview is designed for research leaders, consumer insights managers, product discovery leads, and procurement teams who are vetting synthetic research infrastructure. If your organization currently spends substantial budget and turnaround time recruiting human participants for early-stage screening, message testing, or exploratory UX interviews, synthetic audience simulation offers a rapid alternative. This document clarifies what Minds delivers across qualitative exploration and quantitative study designs, explains how the underlying reasoning engine operates, and outlines the precise evidence boundaries required for responsible commercial research.

Understanding Synthetic Research and the Minds PRISM Engine

Traditional customer research forces teams to balance speed against depth. Qualitative focus groups and depth interviews provide nuanced nuance but suffer from small sample sizes and slow recruiting cycles. Quantitative surveys deliver structured metrics but require finalized stimuli and high recruiting incentive costs. Generic artificial intelligence chat tools lack persistent persona grounding, cross-method rigor, and structured research mechanics.

Minds bridges this divide by providing an integrated simulation environment. At the core of the platform is Minds PRISM, a proprietary reasoning, inference, and source-modeling engine. PRISM constructs individual simulated personas, termed Minds, by synthesizing public-source context with permitted proprietary research notes, customer interview transcripts, and demographic profiles. A structured collection of these personas forms an Audience, which can scale up to 200 Minds per Audience across standard workspaces.

When a researcher launches a Study, PRISM coordinates the simulation across the selected Audience. Instead of treating synthetic personas as isolated chatbots, Minds operates an advanced interaction layer above PRISM. This layer handles structured research methodologies:

1. Qualitative Exploration: Open-ended probing, unmoderated stimulus reactions, and longitudinal conversational interviews.
2. Structured Questionnaires: Single-choice selection, multiselect lists, custom Likert scales, and numerical satisfaction scoring.
3. Forced-Choice Trade-Offs: Advanced quantitative exercises, including Maximum Difference Scaling (MaxDiff), to measure feature importance and attribute preference deterministically.
4. Multimodal Stimulus Evaluation: Direct ingestion of advertising copy, static imagery, packaging renders, video content, live website URLs, app navigation flows, and interactive Figma prototypes where enabled.

Because every interaction is processed through PRISM, responses maintain longitudinal consistency within the session. Simulated outputs are directional and context-dependent, serving to filter out weak ideas, optimize messaging claims, and refine product architecture before committing to physical validation.

Comparing Research Modalities: Traditional Panels, Generic AI, and Minds

When evaluating synthetic research software, enterprises typically compare three distinct approaches:

Generic language models are helpful for drafting copy, but they lack structured survey tooling, deterministic calculations, and persistent audience boundaries. Human panels remain essential for final regulatory evidence and physical sensory feedback, but using them for preliminary concept screening is slow and expensive. Minds is optimized for the iterative commercial research cycle that sits between initial ideation and final human verification.

Operational Scope: When to Deploy Minds and When to Supplement

To maintain rigorous research standards, organizations must match their research questions to the appropriate methodology.

Minds is the right operational choice for:

• Concept screening and value proposition testing across multiple customer segments.
• Early-stage advertising copy, headline, and packaging claim optimization.
• Feature prioritization studies using forced-choice MaxDiff calculations.
• Usability and comprehension testing on visual wireframes or Figma prototypes where enabled.
• Rapid pre-testing of survey instruments prior to launching expensive live human field trials.

Minds is explicitly not designed for:

• Clinical trials, medical efficacy evaluations, or safety-critical testing.
• Regulatory compliance filings requiring certified human population sampling.
• Statistically representative macroeconomic price elasticity modeling.
• Political polling or electoral forecasting.

When decisions require physically observing sensory taste, tactile ergonomics, or statutory demographic representation, teams should use recruited human cohorts as a complementary validation step.

Platform Plans, Response Metering, and Enterprise Procurement

Minds structures platform access around clear usage tiers to support teams of all sizes without hidden per-persona or per-study surcharges:

• Pay As You Go: Priced at €0.12 or $0.12 per response. Includes unlimited workspace users, free viewers, shared prepaid responses with carryover, standard integrations, API and MCP access, up to 10 saved Audiences per workspace, and 200 Minds per Audience. Tax follows the billing entity: German-account EUR and USD prices include applicable VAT, whereas US-account USD prices exclude applicable sales tax.
• Pro Workspace: Priced at €199 per named user per month (or €1,990 per year including VAT). Includes 5,000 shared responses per user per month, up to 25 saved Audiences per user, and comprehensive qualitative and quantitative study workflows.
• Enterprise: Tailored for organizational deployment starting at €15,000 per year excluding VAT. Enterprise contracts include custom response volumes, specialized deployment terms, and dedicated workspace architecture.

Workspace registration is free, enabling teams to explore the platform interface, design research frameworks, and configure Audiences prior to purchasing response packs or committing to an annual plan.

Begin Simulating Target Audiences

Transition your early-stage discovery, messaging tests, and feature prioritization into a continuous research workflow. You can set up your workspace and evaluate audience simulation directly by creating an account.

Create your Minds workspace to begin designing custom Audiences and executing directional research Studies.