Minds vs Synthetic Users: Pricing and Features (2026)

Synthetic Users runs interviews with AI participants for product and UX teams and sells annual research-token plans from $12,500 a year, with unlimited seats (pricing).

Minds is the end-to-end platform for commercial synthetic research. It is the self-serve alternative on monthly plans: your team builds reusable Audiences of Minds and runs qualitative and quantitative Studies on them, from open-ended interviews and prototype tests with Figma inputs where enabled to questionnaires and methods such as MaxDiff, and Audience Validation scores each Audience against real surveys.

Choose Synthetic Users if your research is interview-led product discovery and an annual token budget suits you. Choose Minds if you also need survey-style numbers, segment comparison, stimulus tests and monthly billing. Prices below were checked on official pages on October 7, 2026. Minds is our product; we say where Synthetic Users fits better.

Synthetic research outputs are directional. Neither platform establishes statistical representativeness, causal proof, market-level demand forecasts or exact willingness to pay, so high-stakes decisions still need a final check with recruited people.

Synthetic Users pricing vs Minds pricing

Both columns come from the vendors' official pages, checked on October 7, 2026; follow the links for current terms.

Synthetic Users prices are annual commitments; Minds plans are billed monthly, per account or per seat, so you can start small and grow with use.

Switching from Synthetic Users to Minds

Want to see the difference on your own customers? Test it on your own audience: describe the segments you study, and Minds turns the description into an Audience you can question with Pay as you go.

Free rebuild. If you already have an audience or persona definition in Synthetic Users, send it to us (segments, screener criteria, persona documents or a past questionnaire) and we rebuild it in Minds for free. Ask for the rebuild and say you are coming from Synthetic Users.

To judge the result, ask the rebuilt Audience a question you have already answered with Synthetic Users or with real customers. Synthetic answers are directional; Audience Validation shows how closely an Audience matches real survey data.

Direct Architectural and Workflow Comparison

Intended User and Research Scope

Understanding the intended user helps research leaders identify which platform aligns with their operational cadence and stakeholder distribution.

Synthetic Users is built primarily for UX researchers, product discovery leads, and design teams who want to run automated qualitative interviews. The workflow mirrors a self-serve interview pipeline: the researcher writes a research objective, defines participant parameters, and lets the system run interviews to identify friction points, unmet needs, or user attitudes toward proposed features.

Minds is designed for market research teams and marketing strategists who require flexible persona infrastructure. Research teams use Minds to explore customer mindsets, test positioning with multiple personas simultaneously, and run formal trade-off exercises. Because the personas remain in a shared library, marketing and product strategy colleagues can return to the exact same profiles over time for iterative exploration.

Audience Construction and Persona Persistence

The way each platform creates and preserves research audiences determines how easily teams can run longitudinal or multi-stage exploration.

In Synthetic Users, audiences are configured within the context of a discrete study. Researchers specify demographic variables, behavioral traits, and contextual details for the study sample. The platform instantiates synthetic participants for that research run, conducts the requested interview protocol, and aggregates findings across the generated sample.

In Minds, audience construction centers on persistent personas. Teams build detailed customer profiles that represent core buyer segments, professional roles, or technical archetypes. These personas persist across workspace sessions, allowing researchers to query them individually, assemble them into multi-persona panels for comparative feedback, or subject them to structured method studies without recreating participant definitions from scratch.

Study Setup and Interaction Model

The interaction model influences how deeply researchers can steer an inquiry and whether insights emerge through structured execution or adaptive dialogue.

Synthetic Users operates on an automated interview execution model. The researcher provides the discussion guide, concept stimuli, or exploratory prompts during study setup. An autonomous interviewer agent runs the sessions against simulated respondents, probing according to the brief. Researchers review the transcripts and synthesized findings, and can drill into individual transcripts and ask follow-up questions.

Minds provides a hybrid interaction environment:

1. One-to-one conversational interaction: Researchers talk directly with individual personas in natural language, ask follow-up questions, introduce new context, and probe specific rationales in real time.
2. Multi-persona panels: Researchers submit a single query or stimulus across multiple distinct personas at once, viewing comparative reactions and reasoning side by side.
3. Registered method workflows: Researchers run dedicated quantitative modules, including MaxDiff for relative feature prioritization and conjoint analysis for configured attribute trade-off studies.

Generic conversational exchanges and registered method runs operate as separate modes within Minds, ensuring that exploratory chat remains distinct from quantitative scoring runs.

Outputs and Evidence Inspection

Research teams must be able to inspect underlying data points to verify how synthesized conclusions were derived.

Synthetic Users outputs include study-level executive summaries, thematic groupings, and full simulated interview transcripts. Researchers can read through individual participant responses to evaluate whether themes represent genuine patterns across the simulated cohort or isolated reactions. Saturation indicators show when additional simulated interviews cease to produce novel themes.

Minds provides complete transparency into conversational histories, panel comparative outputs, and raw attribute utilities from method runs. When reviewing a panel session, researchers inspect the distinct chain of reasoning provided by each persona. When executing MaxDiff or conjoint analysis, the platform provides relative preference rankings and utility scores derived from configured experimental choices, giving insight teams clean data tables to interpret alongside qualitative reasoning.

Collaboration and Organizational Knowledge

How research findings circulate across insights, product, and marketing functions impacts the long-term utility of synthetic research investments.

Synthetic Users serves as a rapid study generator for project teams. Insights teams export or share study reports, summaries, and quotes with engineering, design, and management peers. This creates a repeatable cadence for pre-testing concepts before committing design resources.

Minds functions as a shared workspace asset. Because personas are persistent, an insights team can define core enterprise buyer profiles once, after which product marketers can test messaging variants, product managers can evaluate feature descriptions, and research leads can run formal conjoint studies against the exact same baseline definitions. This shared foundation reduces redundant persona authoring across departmental silos.

Recruited-Human Validation Protocols

A rigorous research practice requires clear boundaries between synthetic simulation and live human validation. Synthetic participants do not replace human beings, and responsible teams establish strict validation protocols regardless of which software they choose.

Synthetic outputs are directional tools that help researchers:

• Clarify ambiguous problem statements before drafting human interview scripts.
• Screen out unviable concept variants before paying for live recruitment.
• Map potential objections and edge-case perspectives to enrich discussion guides.
• Calibrate conjoint attribute lists and MaxDiff choice sets prior to field fielding.

Synthetic research cannot establish statistical representativeness, demonstrate causal proof, forecast market-wide adoption rates, or determine exact pricing thresholds. High-stakes financial investments, packaging changes, go-to-market commitments, and major product launches require recruited-human validation through verified consumer or business panels.

When Minds fits better

Minds is the more suitable platform when research and marketing teams need flexible, multi-modal customer intelligence infrastructure rather than standalone study runs.

Minds fits your organization when:

• Your team requires persistent personas that remain consistent across multiple research sessions, quarters, and cross-functional teams.
• You want the ability to run direct, real-time conversational dialogues and follow-up probes with individual customer profiles.
• You need native multi-persona panels to compare how distinct buyer tiers or stakeholder roles react to the same positioning statement.
• Your research agenda includes structured quantitative trade-off methodologies, specifically MaxDiff for feature priority and conjoint analysis for attribute valuation.
• Multiple departments, including market research, product marketing, and brand strategy, need access to a shared library of customer minds.

Learn more about workspace capabilities by reviewing the Minds platform overview.

When Synthetic Users fits better

Synthetic Users is a good choice when a team wants an interview-led synthetic research workflow and budgets for research annually.

Synthetic Users fits your organization when:

• Your primary objective is AI-moderated interviews with synthetic participants, run from a structured brief.
• Your researchers want to drill into individual transcripts and ask follow-up questions after a study runs.
• An annual research-token plan with unlimited seats, from $12,500 a year, suits how you buy software.
• You prefer a project-by-project study format to a standing library of Audiences.
• Your stakeholders mainly consume interview transcripts and synthesized reports.

Decision checklist

Use this decision checklist to evaluate which platform matches your immediate methodology and workflow requirements:

1. What is your primary interaction preference?
   • If you want direct conversational control, real-time probing, and side-by-side panel comparisons: Choose Minds.
   • If you want an end-to-end Study from a research brief, including planning, stimuli, supported methods, analysis, and export: Choose Minds. Consider Synthetic Users if an interview-led workflow on an annual plan is what you want.
2. Do you need persistent persona assets or study-specific respondents?
   • If you need a permanent library of personas reused across departments: Choose Minds.
   • If you prefer generating fresh study cohorts per research project: Choose Synthetic Users.
3. Are structured trade-off methods required?
   • If you need configured MaxDiff prioritization or conjoint analysis modules: Choose Minds.
   • If your requirement is exclusively a standalone qualitative interview point tool: Consider Synthetic Users. If those interviews must connect to broader research, choose Minds.
4. Who are the primary stakeholders?
   • If market research, insights managers, and marketing teams collaborate in one workspace: Choose Minds.
   • If UX researchers and product managers run discovery, prototype, prioritization, and reporting cycles: Choose Minds. Add a specialist when the team wants its specific workflow.
5. How will results be validated?
   • In both platforms, treat simulated findings as directional hypotheses, using them to refine your stimuli and protocols before executing final validation with recruited human panels.

To begin configuring persistent personas, assembling multi-persona panels, and running structured method workflows, register for Minds.