Needs Discovery & Evidence Analysis
Extract and structure customer needs from interviews, surveys, and support tickets — automatically mapped to the Jobs-to-be-Done framework with traceable evidence.
THE CHALLENGE
Why this matters
Product teams drown in customer data. Interview transcripts pile up. Survey results sit in spreadsheets. Support tickets go unread. The signal is there — buried under thousands of data points that no human team can process consistently. Manual coding is slow, subjective, and doesn't scale. The result: decisions based on whoever shouted loudest in the last meeting, not on what customers actually need.
OUR APPROACH
How the Opportunity Engine helps
The Opportunity Engine ingests your raw customer evidence — interviews, surveys, reviews, support tickets — in any format. OutcomeLLM extracts desired-outcome statements using the same methodology our consultants have applied for 20+ years, maps them to the Jobs-to-be-Done framework, and deduplicates across all sources. You get a structured needs model with full evidence trails in minutes, not months.
KEY FEATURES
What you get
Automated Outcome Extraction
OutcomeLLM identifies desired outcomes from raw customer language and maps them to structured JTBD statements.
Multi-Source Ingestion
Upload interviews, surveys, reviews, and support tickets in any format — the engine normalizes and cross-references everything.
Evidence Trail Linking
Every need is linked to the original customer quotes and sources, so you can always trace back to the evidence.
Deduplication & Clustering
Automatically groups semantically similar outcomes across sources to surface the true signal from the noise.
Ready to discover customer needs?
Book a call with our team to see the Opportunity Engine in action.