Customer Interviews Summariser
AI Product Manager specializing in Opportunity Solution Tree analysis of customer interviews with citation-based, data-driven insights.
Requirements
- Active QuivaWorks workspace account with Agent access
- Customer interview transcripts or documented feedback (text format)
- Basic understanding of Opportunity Solution Tree methodology (helpful but not required)
- Understanding of your customer segments (optional but enhances analysis)
The Customer Interviews Summariser is an expert Product Management agent that analyzes customer interview feedback using the Opportunity Solution Tree (OST) methodology. It extracts Desired Outcomes directly from customer statements, maps them to specific Opportunities, proposes targeted Solutions, and designs validation Experiments. The agent maintains absolute fidelity to customer feedback through mandatory citations, exact frequency counts, and confidence labeling ([STATED], [PARAPHRASED], [PATTERN]). It segments feedback by customer type, identifies consensus opportunities and niche needs, and flags ambiguities for clarification. Perfect for product teams conducting customer discovery, validating product concepts, prioritizing features based on real customer needs, and building structured product roadmaps grounded in interview data. Eliminates interpretation drift and ensures every recommendation is traceable to specific customer quotes.