find-customer-quotes

To extract customer quotes from meeting transcripts, provide a specific theme and transcript-like evidence; the system identifies verbatim quotes tied to that theme, scoring them by confidence and relevance. It applies evidence rules and deduplicates outputs for readable summaries or downstream formats.

Pulling verbatim prospect quotes from call notes requires a transcript-first workflow that prioritizes actual spoken evidence over memory. The system applies speaker-likelihood scoring to ensure quotes come from customers or prospects, rendering high-confidence outputs for sales enablement and storytelling.

Yes, you can use exported recordings to find customer quotes tied to specific sales objections. Provide the theme and transcript-like evidence from the exports; the system ranks quotes by confidence and relevance while enforcing evidence rules to ensure they come from customers.

Quote extraction works with raw transcripts and meeting notes by applying speaker-likelihood scoring to identify customer or prospect statements. Even without explicit speaker labels, it ranks quotes by confidence and relevance to surface high-confidence customer evidence.

When extracting evidence from multiple call transcripts, duplicate customer quotes are handled through a built-in deduplication process. The system identifies overlapping verbatim statements and removes redundancies, ensuring the final readable summaries contain only unique, high-confidence quotes.

Extracted customer quotes can be rendered in readable summaries for human review or downstream machine-friendly formats for enablement, coaching, and decision support. This allows the verbatim evidence to integrate directly into downstream systems and automated workflows.