Large-scale market research

Enable large-scale, rapid depth interviews by leveraging existing panels with AI-powered automated research

Background and Challenges

Reliance on surveys with existing panels requires several weeks from preparation to execution, reducing information freshness

Fixed question sets prevent deeper exploration of “why,” making hypothesis validation insufficient

Conducting depth interviews at scale drives up both time and cost

Summarizing and coding open-ended responses takes a significant amount of time, increasing cost and creating dependence on specific individuals

AS-IS (Current State)

・Long lead times (several weeks)

・No dynamic follow-up on fixed questions

・Manual tabulation dependent on individuals

TO-BE (After Implementation)

・Immediate deployment and real-time analysis

・Dynamic probing by AI

・Automated tabulation and structuring

Operational Flow

1. Design the study

2. Conduct depth interviews in which AI asks follow-up questions to probe the reasons behind responses

3. Structure qualitative data in real time

4. Review insights through reports or AI chat

Information That Can Be Collected

・Opinions on motivations and barriers

・Segment-specific needs analysis

・Purchase journey map

Implementation Benefits (KPIs)

・Payback period: Significantly shortened

・Analysis lead time: Immediate

・Number of hypotheses identified: Increased