Overview
Resarch agent explained in 2 minutes
Research Agent: AI-Powered Qualitative Research at Scale
Research Agent is an LLM-powered virtual moderator that conducts online in-depth interviews (IDIs) with a consistent, high-quality standard. It creates natural conversational experiences, intelligently paraphrasing respondent answers and dynamically probing for deeper insights - replacing the need for traditional human-moderated IDIs when speed and scale are critical.
How It Works
Research Agent uses custom-configured large language model frameworks to simulate expert qualitative moderation:
- Natural conversation flow: The AI moderator adapts its questioning style based on respondent answers, following up with contextually relevant probes
- Intelligent paraphrasing: Responses are reflected back to participants to confirm understanding and encourage elaboration
- Dynamic probing: The system identifies areas requiring deeper exploration and pursues them without scripted rigidity
- Instant transcription: Complete interview transcripts are available immediately upon session completion
Engagement Process
Each project follows a structured delivery path:
- Scoping and consultation: Initial discussion to define research objectives, target audience, and methodology
- Discussion guide design: Collaborative development of the interview framework and probing strategy
- Fieldwork execution: AI-moderated interviews conducted concurrently across your target sample
- Analysis and reporting: Delivered insights including transcripts, thematic analysis, and actionable recommendations
What You Receive
- Methodology consulting and discussion guide development
- Full interview transcripts delivered immediately upon completion
- Fieldwork analysis and insight reporting
- Project management from setup through final deliverable
Why Research Agent Is Different
- Speed: Complete qualitative research projects in days rather than the weeks required by traditional IDI programs
- Scale: Execute dozens of interviews concurrently without sacrificing depth or quality
- Consistency: Every interview follows the same high standard of moderation, free from interviewer bias or fatigue
- Cost efficiency: Conduct qualitative research at a fraction of traditional IDI costs by eliminating manual moderator scheduling and logistics
RESEARCH AGENT runs on AWS infrastructure
Our solution is built on secure, scalable, and globally available AWS cloud services, ensuring high performance and enterprise‑grade reliability for every project. Leveraging AWS technologies such as Amazon S3, Amazon RDS, Amazon DynamoDB, AWS Lambda, Amazon ECS/Fargate, Amazon API Gateway, and Amazon Bedrock, the solution delivers real‑time AI‑driven interviews at scale. AWS infrastructure enables seamless integration with research workflows, and the ability to grow effortlessly as customer needs expand.
Use Case Example
For consumer brands conducting exploratory research - such as new product concept testing, attitude and motivation studies, or go-to-market validation - Research Agent enables rapid capture of authentic consumer perspectives across a larger sample than conventional IDIs allow. Teams can move from research brief to actionable insights within days, accelerating critical business decisions.
Getting Started
Contact the team at research@madresear.ch to schedule a scoping call. The team provides full-service support from project setup through final reporting, working Monday through Friday, 9AM-5PM CET.
Highlights
- Research Agent redefines qualitative research by using advanced LLMs to conduct in-depth online interviews at a consistent, high-quality standard. Simulating natural conversations, it intelligently paraphrases responses and probes deeper for insights. By eliminating traditional barriers such as high costs, scheduling delays, and limited scale, it helps brands uncover authentic consumer motivations faster, accelerating research timelines and enabling more informed business decisions.
- Powered by custom-configured LLM frameworks, Research Agent combines speed, scalability, and security to process qualitative data almost in real time. Businesses receive instant interview transcripts immediately upon session completion. This allows enterprise clients to execute dozens of complex qualitative interviews rapidly and concurrently, all backed by enterprise-grade reliability and strict data compliance.
- Research Agent delivers fast, decision-ready consumer insights by automating qualitative interviews through AI-powered moderation. It accelerates research from weeks to days, reduces operational costs, and removes the complexity of scheduling and manual fieldwork. By rapidly uncovering authentic consumer perspectives at scale, it helps organizations reduce uncertainty, strengthen market fit, allocate resources more effectively, and make high-stakes business decisions with confidence.
Details
Introducing multi-product solutions
You can now purchase comprehensive solutions tailored to use cases and industries.
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Contact
Email: research@madresear.ch
Working hours: Monday through Friday, 9AM-5PM CET
Project Support
Every engagement includes full-service support covering the complete project lifecycle:
- Scoping and setup: Initial consultation to define research objectives, target audience, sample requirements, and methodology approach
- Discussion guide development: Collaborative design of the interview framework and probing strategy tailored to your research goals
- Fieldwork execution: AI-moderated interviews conducted concurrently across your defined sample, with project management oversight
- Analysis and reporting: Delivery of complete transcripts, thematic analysis, and actionable insight reports
Buyer Responsibilities
To initiate a project, buyers provide a research brief outlining objectives and target audience. The Research Agent team handles methodology design, fieldwork execution, and reporting. Buyers review and approve the discussion guide before fieldwork begins.
Getting Started
Contact research@madresear.ch to schedule a scoping call. The team will discuss your research objectives, recommend an approach, and provide a project proposal with timeline and deliverables.