Consumer Research Conducted by
AI and Human Researchers
We run quantitative and qualitative research end to end, from research design through fieldwork, analysis, and reporting. We use our in-house online fieldwork platform and AI analysis, and human researchers are accountable for quality.
How to Use It, by Research Need
For common research needs, here is how we run the research and what you receive
Concept Acceptance Research
- Need
You want to test whether consumers will accept a new product concept
- Approach
We compare the acceptance of multiple concepts through quantitative research. AI analyzes open-ended responses across the dataset, and human researchers interpret the results.
- Deliverable
A report comparing acceptance scores, with implications for improvement
U&A Research (Usage & Attitude)
- Need
You want a full picture of how people use and perceive a category
- Approach
We measure usage through quantitative research and follow up with online interviews for segments that need deeper exploration.
- Deliverable
A report on usage and attitude structure by segment
Price Acceptance Research
- Need
You want an evidence-based answer to what price customers will pay
- Approach
We apply price research methods such as PSM in a quantitative survey and interpret the results with statistical testing.
- Deliverable
A report analyzing the acceptable price range
Brand Tracking
- Need
You want to track changes in brand metrics over time
- Approach
We run the same quantitative survey design repeatedly and use AI to automate comparison with past data.
- Deliverable
A report on brand metrics over time
Service Features
The main features Mineds AI Research provides for research work
High-Quality Output Creation with Speed and Convenience
Instantly Tailored to Your Needs
Simply input your objectives, background, and parameters to rapidly generate deliverables such as proposals, summaries, and insight reports. We provide high-quality output with consistent depth and formatting, aligned to your specific discussion points.
A Proprietary Fieldwork Platform Designed for AI Integration
End-to-End Coverage of Both Qualitative and Quantitative Research
Our proprietary system integrates everything from survey design to data collection and management. With data structures and operational workflows optimized for AI analysis, you can seamlessly build a repository of actionable data.
Advanced Analytics That Interpret Large-Scale Data Across Multiple Sources
Building on our core technology for converting human thought and behavioral data into AI-ready formats, we combine diverse proprietary modules purpose-built for AI agents to deliver optimal outputs
Consolidate multiple surveys and historical data to automate cross-comparisons and segment deep-dives. Connect isolated findings into a cohesive narrative, transforming them into actionable insights that drive decision-making.
How AI and Humans Share the Research Process
For each stage of research, what AI handles and what human researchers decide
Research design
What AI doesDrafting questions and questionnaires
What humans doDefining the problem and finalizing the design
Recruitment
What AI doesHelping identify respondents who meet the criteria
What humans doSetting screening criteria and checking quality
Fieldwork
What AI doesRunning online interviews and asking follow-up questions with the AI moderator
What humans doManaging moderation quality; important interviews are conducted by human moderators
Analysis
What AI doesAutomated cross-analysis of large datasets and segment deep-dives
What humans doInterpreting results and drawing implications
Reporting
What AI doesDrafting the report
What humans doReview and finalization; presenting at the debrief
Research suited to AI
- Qualitative research with many respondents
- Validation where speed matters
- Cross-comparison with past data
- Analyzing large volumes of open-ended responses
Research not suited to AI
- Research that requires in-person behavioral observation
- Highly specialized interviews with a small number of experts
- Research where non-verbal cues (facial expressions, gestures) are the main data
How We Handle Research Data
We hold PrivacyMark and ISMS (ISO/IEC 27001) certification, encrypt data in transit and at rest, and keep access rights to a minimum. We never use data entrusted to us to train general-purpose AI models or for any other purpose than the one agreed.
Transform research data into strategic assets
Accumulate past research findings and knowledge,
Seamless
Seamlessly connect to outcome-driven applications where AI agents create concepts and produce creative assets based on your research data
End-to-End Support
We provide comprehensive one-stop support for research operations, from panel recruitment and fieldwork management to analysis and reporting
We will propose the optimal approach tailored to your specific challenges and existing research assets. Please feel free to contact us