·Minds Team
Minds — synthetic market research overview
Minds combines individual synthetic respondents, reusable Audiences, and persistent Studies so teams can use qualitative, directional quantitative, and mixed research methods in one workspace.
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- 10,000 Consumer Feedbacks Without Recruitment Costs
- Accelerate Consumer Validation via Synthetic Panels
- Accelerating Market Research: A Playbook for Marketing Directors
- Accelerating Market Research: Agile Insights
- Accelerating Slow Feedback Loops in CX Management
- Achieving 95% Panel Alignment with Minds Validation
- Ad Pretesting Guide for Marketing Directors
- Adapt UK Campaigns for Canada: Regional Simulation Guide
- Agile Concept Testing for Product Managers | Minds Playbook
- Agile Market Research for FMCG in Under an Hour
- AI Models behind Minds
- Aligning Campaigns with Sinus Milieus: A Guide for Brand Managers
- Anticipating Buyer Objections: Behavioral Modeling for PMs
- App Design Intuition Guide for First-Time Founders
- Apprentice Recruiting: Optimizing Employer Branding with Minds
- Apprentice Recruiting: Pretesting Messages via Simulation
- Apprenticeship Recruiting: Optimizing Messages for Gen Z
- Are Your Prices Scaring Away Shoppers? An Online Retailer Guide
- Are Your Prices Scaring Customers Away? A Quick Check for Freelancers
- Are Your Prices Too High? A Practical Retail Guide
- Auditing AI Consumer Simulations vs. Traditional Panels
- Auditing Minds Simulation Accuracy with Benchmarks
- Avoid Failed Campaign Launches: Risk Playbook
- Avoid Product Launch Failure: Pre-Market Testing
- B2B SaaS Add-On Pricing Optimization Playbook
- Benchmark Brand Claims Using Forrester Methodology
- Benchmark Brand Positioning: A Guide for Agency Strategists
- Campaigns Without Gut Feeling: A Data-Driven Guide for Marketing Leads
- Check If Your Social Post Is Offensive Before Posting
- Compare Minds vs Traditional Market Research: Cost & Speed
- Concept Testing for CPG: Virtual Panel Playbook
- Concept Testing for German Fintechs in Under an Hour
- Concept Testing for Growth Leads: Rapid Validation
- Concept Testing for Organic Cosmetics with Virtual Panels
- Concept Testing for Regional Banks via Synthetic Panels
- Concept Testing in CH & AT with Local Demographic Anchors
- Concept Testing with Sinus Milieus Without Panel Recruitment
- Concept Validation for Austria: A PM's Playbook
- Concept Validation for Pet Food Brands: Suburban Grocery Guide
- Concept Validation for Startups on a Budget
- Concept Validation Framework for Product Managers
- Confusing Slogan? Simple Tests for Marketing Beginners
- Consumer Segmentation via Digital Mapping
- Consumer Segmentation Without Panels: A Guide for Agencies
- Cross-Border Concept Testing for Australian Markets Playbook
- Cross-Border Market Research for ANZ: Behavioral Models
- Data Security in AI Market Research: GDPR Guide
- Decoding Customer Desires: Product Manager Guide
Minds is a synthetic market research platform built around three objects:
- Minds — individual synthetic respondents for in-depth interviews
- Audiences — reusable synthetic samples made from multiple Minds
- Studies — saved research workspaces for questions, stimuli, responses, and results
Research methods
A Study can contain:
- an in-depth interview with one Mind
- qualitative exploration at scale with an Audience
- a questionnaire with directional quantitative readouts
- a concept, message, pricing, or visual-asset test
- a segment comparison across multiple Audiences
- a mixed-method Study combining these approaches
Synthetic results are directional evidence. Their strength depends on Audience definition, grounding, question design, and the available validation evidence; they are not automatically population estimates.
Get started
- Create a Mind or choose an existing one.
- Create an Audience when you want to reuse several perspectives.
- Start a Study and choose Quick or Custom setup.
- Select the research method that fits the decision.
Interviews give you depth. Audiences give you breadth. Studies keep the evidence for a decision together.
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