Minds vs Fastuna: Consumer Simulation vs Rapid Panels

Minds delivers end-to-end commercial synthetic research by simulating target audiences with deep behavioral reasoning, allowing brand and product teams to run qualitative and quantitative studies continuously. Fastuna provides rapid automated survey templates routed to human panels for standardized testing. Minds leads in upstream iteration speed and method breadth, while Fastuna provides recruited human response metrics.

At a glance

How minds actually works

Minds is an end-to-end commercial synthetic research platform powered by Minds PRISM, a proprietary reasoning, inference, and source-modeling engine. Beneath every simulated persona, known as a Mind, PRISM integrates public-source context with permitted research inputs to maximize behavioral grounding and consistency. Users create persistent Audiences in Minds from text descriptions, customer profiles, uploaded files, or research notes. Above the PRISM engine sits a flexible interaction layer that executes qualitative exploration, structured surveys, custom rating scales, and deterministic quantitative calculations such as MaxDiff. Researchers use Minds to test packaging, copy, campaign claims, and UX prototypes before committing budget to live human panels.

How fastuna actually works

Fastuna is an automated consumer intelligence platform designed to make human panel research fast and accessible through pre-configured testing solutions. Users select from a library of standardized templates tailored for specific research needs, such as concept testing, pack design screening, video ad evaluation, or brand naming. Once the user uploads their visual or textual stimuli and defines target screening criteria, Fastuna automatically routes the questionnaire to integrated third-party human consumer panels. The platform collects individual responses, calculates benchmarked performance scores, and generates automated visual summary dashboards highlighting key performance indicators like purchase intent, relevance, and distinctiveness.

When to choose minds

Choose Minds when your team needs to test, refine, and optimize marketing assets or product concepts iteratively without the delays and costs of recruiting human participants. Minds is the right platform for early-stage idea exploration, mixed-method research, packaging variations, messaging hierarchy optimization, and prototype usability testing where directional feedback is required across diverse B2C or B2B2C personas.

When to choose fastuna

Choose Fastuna when your project specifically requires empirical human panel verification using established, standardized testing templates. Fastuna is suitable for brand managers who have a finalized concept, package, or television commercial and need an automated turn-key survey readout from recruited human consumers with standardized benchmark comparisons to support immediate operational decisions.

Core Architectural Differences: Synthetic Simulation vs Panel Automation

Understanding the architectural distinction between Minds and Fastuna is critical for insights leaders, innovation teams, and brand strategists. While both platforms help marketing teams evaluate concepts prior to commercial launch, they operate on fundamentally different foundations and serve distinct stages of the research lifecycle.

Fastuna is an automated research distribution engine. It simplifies the traditional market research agency model by packaging standard survey questionnaires into self-serve digital templates. When a study is launched in Fastuna, the system sends structured forms to human panel aggregators. The speed of the platform comes from pre-configured logic, automated sample routing, and standardized reporting charts. However, the fundamental mechanism remains identical to traditional market research: you are purchasing individual human responses from survey takers who are compensated to complete questionnaires on their mobile devices or desktop computers.

Minds, by contrast, is a synthetic audience simulation platform built from the ground up for commercial research. Instead of routing forms to human panel providers, Minds executes directional research studies against simulated consumer personas called Minds. Every Mind is powered by Minds PRISM, an advanced reasoning and source-modeling engine designed to emulate the values, decision criteria, cognitive biases, lifestyle habits, and brand attitudes of specified demographic and psychographic profiles.

This architectural difference transforms research velocity. With Fastuna, every iteration requires purchasing a fresh human sample, waiting for panel quotas to fill, and managing potential sample fatigue. With Minds, researchers can formulate a hypothesis, test multiple creative variations against an Audience in Minds, analyze simulated rationales, adjust the stimulus, and re-test within the same working session. Minds does not depend on panel availability, screening incidence rates, or respondent incentives.

Question Breadth, Interaction Layers, and Methodological Flexibility

A primary distinction between the two platforms lies in methodological breadth and study design control.

Fastuna relies primarily on standardized, template-driven quantitative questionnaires. These templates are engineered around specific marketing workflows, such as testing two packaging options, evaluating a storyboard ad, or measuring the appeal of three brand names. While this structure ensures consistency and simplifies analysis for non-researchers, it limits flexibility. Users must generally adhere to the pre-set questions, rating scales, and flow dictated by the chosen template. Probing deeper into unexpected findings or altering the core survey mechanics often requires custom agency intervention or separate research initiatives.

Minds provides a comprehensive interaction layer that spans qualitative, quantitative, and mixed-method approaches within a single connected environment. The platform is not a basic conversational chatbot, nor is it a rigid survey form. Minds treats diverse question types as native interaction forms operating on top of the PRISM reasoning engine:

1. Qualitative and Open-Ended Exploration: Researchers can ask open-ended questions, conduct deep psychological probing, and explore the underlying reasons behind simulated consumer perceptions. Minds can explain why a specific value proposition resonates or why a packaging visual triggers skepticism.
2. Structured Quantitative Surveying: Minds supports single-choice questions, multiselect lists, standard Likert scales, and customizable numerical rating systems. These questions yield quantitative distributions across synthetic audiences, providing directional clarity on preference shares.
3. Advanced Forced-Choice Methods: Minds executes sophisticated quantitative research designs such as MaxDiff (Maximum Difference Scaling). Researchers can evaluate large lists of claims, benefits, or features to establish clear relative importance hierarchies, backed by deterministic calculations rather than subjective impressions.
4. Mixed-Method Workflows: Teams do not need to separate qualitative exploration from quantitative measurement. In a single Study, a brand team can measure purchase intent across five concepts, run a MaxDiff exercise on twelve product claims, and collect detailed open-ended feedback explaining the emotional response to each design.

Because Minds handles this entire spectrum natively, insights teams avoid the tool fragmentation that occurs when using separate point solutions for qualitative interviews, survey forms, and trade-off modeling.

Stimulus Handling: From Static Concepts to Interactive Prototypes

Marketing and product development teams rarely evaluate plain text in isolation. Research effectiveness depends heavily on the fidelity and format of the stimulus being tested.

Fastuna is built to handle standard marketing collateral. Users can upload image files for pack testing, video files for commercial animatics or finished spots, and text descriptions for early concept statements. These assets are embedded directly into the standardized survey interface displayed to human respondents. This is effective for evaluating finished or semi-finished marketing assets against predetermined KPIs.

Minds expands stimulus testing across the entire product and brand development lifecycle. Supported stimulus inputs include:

• Visual Packaging and Shelf Displays: High-resolution packaging graphics, shelf-set layouts, and 2D product renders can be evaluated for visual salience, messaging clarity, and brand attribution.
• Video and Storyboards: Commercial concepts, video scripts, and narrative storyboards can be tested to observe simulated narrative engagement and emotional resonance.
• Copy, Claims, and Messaging Decks: Multi-page marketing decks, positioning statements, website copy, and value proposition frameworks can be evaluated systematically.
• Interactive UX and Product Prototypes: Where enabled, Minds accepts Figma inputs, website URLs, and application flows. UX and product design teams can simulate how distinct target personas interpret navigation hierarchies, feature positioning, and onboarding flows.

By supporting prototype environments like Figma alongside traditional advertising assets, Minds serves product managers and UX researchers with the same rigor it offers brand managers and consumer insights specialists.

Audience Construction, Reusability, and Persona Depth

The way target consumer profiles are defined, maintained, and leveraged differs substantially between panel-based platforms and synthetic simulation platforms.

In Fastuna, audience targeting follows conventional human panel screening methods. Users specify demographic criteria such as age brackets, gender, geographic location, and high-level category consumption filters. The panel engine then screens live human participants based on their profile data and screener answers. Once the study finishes, the sample is dismissed. If you want to test an updated version of your concept tomorrow, a new group of human respondents is recruited, introducing sample variance between study waves.

In Minds, audiences are built as reusable, highly detailed synthetic assets called Audiences in Minds. An Audience can be constructed from:

• Rich natural language descriptions of consumer lifestyles, values, and routines.
• Detailed persona briefs, buyer personas, and customer journey maps.
• Uploaded customer research notes, focus group transcripts, and survey data.
• Demographic, psychographic, and behavioral criteria tailored to niche B2C or B2B2C segments.

Once an Audience is created, it remains persistent and reusable across multiple Studies. Brand teams can test an initial value proposition with an Audience, refine the messaging based on simulated feedback, test the new copy against the exact same Audience profile, and follow up with a MaxDiff study on product features. This persistence eliminates recruitment latency and ensures consistent persona grounding across longitudinal project phases.

Understanding the Research Evidence Boundary

To make an informed decision between Minds and Fastuna, organizations must establish clear evidence boundaries for synthetic simulation versus human panel data.

Minds provides directional synthetic research. Simulated outputs from Minds PRISM are designed to reflect the reasoning, trade-offs, and behavioral inclinations of defined target groups based on advanced modeling and contextual inputs. This directional clarity is invaluable for:

• Early-stage concept screening and ideation.
• Rapid message testing and claim optimization.
• Packaging hierarchy and visual asset exploration.
• Pre-testing creative options to eliminate weak contenders before committing budget.
• UX copy, onboarding flow, and feature prioritization.

Minds is not intended for clinical trials, regulated product efficacy testing, representative political polling, or legally mandated consumer verification. Synthetic simulations generate directional patterns rather than statistically representative population estimates.

Fastuna collects empirical data from live human panel participants. When an organization requires an audit-ready dataset reflecting the exact responses of three hundred human panel members to satisfy external stakeholders or retail partners, human panel platforms provide that empirical record.

The most effective modern research teams utilize a hybrid model: they use Minds upstream to explore hundreds of creative permutations, refine messaging, and optimize concepts rapidly, and reserve human panels like Fastuna for final validation of the winning candidate when empirical panel data is specifically mandated.

Pricing Structures and Commercial Economics

Research budgets are often constrained by participant recruiting costs, platform seat licenses, and panel incentive fees.

Fastuna operates on a per-project or per-test pricing model, commonly bundled into credit packages or annual subscriptions with associated sample procurement costs. Every time a brand manager wants to run a concept test, packaging screen, or ad evaluation, panel recruitment costs and sample fees apply. As a result, teams must ration their testing, limiting research to later stages of development when concepts are already near completion.

Minds operates on a transparent software subscription model with predictable monthly synthetic response allowances, removing participant recruitment fees and sample procurement friction:

• Free Plan: Includes 3 Study answers per month, supporting up to 60 synthetic responses for initial evaluation.
• Individual Plan: Priced at 59 dollars or 59 euros per month, providing 500 synthetic responses per month for solo practitioners.
• Team Plan: Priced at 99 dollars or 99 euros per seat per month (with a 1-seat minimum), providing 4,000 synthetic responses per seat per month pooled across the workspace for collaborative teams.
• Enterprise Plan: Custom synthetic response volumes, advanced workspace controls, and dedicated deployment support for large research organizations.

By eliminating recruitment and participant incentive fees, Minds enables research teams to test early and iterate often. Instead of debating whether a preliminary concept justifies a multi-thousand-dollar panel spend, teams can run a Study in Minds immediately.

Data Protection, Workspace Governance, and Enterprise Security

Enterprise research teams require rigorous data governance, especially when testing proprietary product concepts, unreleased advertising campaigns, or sensitive strategic plans.

When deploying Fastuna, organizations share confidential creative assets and concept descriptions with external human panel participants across consumer networks. While panel providers implement terms of service, concepts distributed to live human panelists always carry an inherent risk of public leaks or competitor exposure prior to launch.

When deploying Minds, research is conducted within a secure, dedicated workspace without exposing confidential concepts to external human panel participants. Customer data handling, data residency, hosting configurations, and security requirements should be assessed for the configured workspace to ensure alignment with organizational compliance standards. This architecture provides an isolated environment where brand innovation and R&D teams can simulate consumer reactions to sensitive strategic initiatives in complete confidentiality.

Workflow Comparison: Concept Development in Practice

To illustrate how these platforms function in daily operations, consider a brand team developing a new functional beverage line.

Phase 1: Positioning and Benefit Exploration

• With Fastuna: Running an open-ended exploration across multiple positioning angles on a human panel can be expensive and slow. Teams often skip this stage or rely on internal team assumptions to pick two final angles for formal testing.
• With Minds: The brand manager creates an Audience in Minds representing health-conscious millennials and busy urban professionals. Using open-ended qualitative prompts and multi-attribute scales, the team tests eight distinct positioning angles in minutes, discovering that cognitive focus resonates far more strongly than sustained physical energy.

Phase 2: Claim Hierarchy and MaxDiff Prioritization

• With Fastuna: Evaluating twenty distinct packaging claims requires custom survey programming and significant human sample sizes to achieve statistical significance on trade-off questions, leading many teams to settle for basic rating grids.
• With Minds: The team sets up a deterministic MaxDiff Study directly in Minds. The simulated audience evaluates claim combinations through forced-choice exercises, generating an empirical relative importance hierarchy that highlights the most compelling benefit statements.

Phase 3: Packaging and Prototype Testing

• With Fastuna: The team uploads three static pack designs to Fastuna's pack testing template. The survey is fielded to a human panel, delivering standard purchase intent and uniqueness scores after several hours or days.
• With Minds: The team uploads five packaging visual variations alongside their Figma interactive product page. The simulation reveals specific visual elements that cause confusion, allowing the design team to tweak the typography and re-run the simulation immediately before finalizing the asset.

Phase 4: Final Validation

• Hybrid Outcome: Having refined the positioning, validated the claim hierarchy with MaxDiff, and optimized the packaging through iterative simulation in Minds, the team can confidently move to production, or run a single targeted validation test on Fastuna if a retail partner requires human panel scorecards.

Comparative Feature and Capability Overview

Direct Evaluation by Organizational Role

For Brand Managers

Brand managers must balance rapid campaign execution with commercial risk. Fastuna offers an accessible way to validate existing campaign concepts against standard human metrics when a quantitative scorecard is required. However, Fastuna does not assist in refining early ideas or diagnosing why a concept fell flat. Minds allows brand managers to stress-test claims, taglines, visual assets, and emotional resonance upstream, turning research into an active design tool rather than a late-stage gatekeeper.

For Consumer Insights and Market Research Leaders

Insights leaders face constant requests for faster data without expanding team headcounts or research budgets. Fastuna provides operational efficiency for routine panel testing requests. Minds provides an end-to-end synthetic research infrastructure that broadens research capabilities. Insights professionals can construct persistent Audiences reflecting complex market segments, execute mixed-method studies, run MaxDiff claim prioritizations, and conduct preliminary exploratory studies in hours rather than weeks.

For Product Managers and Innovation Teams

Product teams operate in agile sprint cycles that are incompatible with traditional panel recruitment timelines. Fastuna is primarily tailored to marketing and brand assets, offering limited utility for digital product flows or complex feature trade-offs. Minds integrates directly into product discovery workflows, accepting Figma prototypes and UX concepts where enabled. Product managers can simulate user reactions to new feature descriptions, onboarding sequences, and pricing tier structures before writing a single line of code.

Summary of Strategic Trade-Offs

Choosing between Minds and Fastuna is not a matter of selecting one tool to perform the identical task; it is an evaluation of research methodology, speed, and workflow integration.

Fastuna is an effective platform for running standardized, template-based surveys across recruited human panels. It automates traditional market research metrics and delivers clean summary dashboards for finalized assets.

Minds is a comprehensive commercial synthetic research platform. By combining the deep behavioral reasoning of Minds PRISM with qualitative probing, structured quantitative questions, MaxDiff trade-off modeling, and interactive prototype testing, Minds empowers teams to explore, iterate, and optimize consumer-facing initiatives continuously without recruitment overhead.

Verdict for English buyers

Minds delivers deep, multi-layered behavioral modeling across an end-to-end qualitative and quantitative research workflow, enabling teams to simulate consumer responses rapidly while keeping concept testing entirely within their configured workspace. Fastuna provides standardized human panel survey templates for teams that require rapid empirical panel scorecards. When your objective is continuous, iterative research across concepts, copy, packaging, and UX prototypes without participant recruiting delays, Minds is the modern platform of choice. To see how synthetic audience simulation can accelerate your insights workflow, book a demo with Minds.