win-loss-analysis

Name: win-loss-analysis
Availability: InStock
Author: titta

Analyze sales call transcripts to extract win/loss patterns and objection themes.

29|12|Updated Mar 30, 2026

Search Tags:#sales #transcripts #gtm #competitive-intelligence #churn #win-loss

Ready to run

npx skills add https://github.com/matteotitta/genesys-skills --skill win-loss-analysis-matteotitta

💬 Prompt for ChatGPT / Claude Chat▼

Please help me install this Agent Skill.
Skill: win-loss-analysis
Source: https://github.com/matteotitta/genesys-skills/tree/main/skills/research/win-loss
Command: npx skills add https://github.com/matteotitta/genesys-skills --skill win-loss-analysis-matteotitta

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

This skill solves the challenge of fragmented sales feedback by systematically analyzing call transcripts to identify why deals are won or lost, preventing reliance on anecdotal evidence.

Core Features & Use Cases

Pattern Aggregation: Automatically groups sales call insights by outcome, frequency, and competitive context.
Evidence-Based Synthesis: Extracts verbatim quotes to support strategic recommendations for positioning and messaging.
Use Case: Use this skill to process a batch of monthly sales transcripts to identify that 70% of lost deals cite a specific missing product feature, allowing you to update your battlecards and positioning docs accordingly.

Quick Start

Invoke the win-loss-analysis skill by providing a set of sales call transcripts and specifying the deal outcomes for each.

Frequently Asked Questions about win-loss-analysis

High-intent search queries and answers about installing and using this skill.

FAQPage Schema

How do I analyze sales call transcripts for win-loss patterns and competitive intelligence?▼

To extract win-loss patterns from sales call transcripts, process batches of call data to group insights by outcome and frequency, yielding verbatim quotes and strategic recommendations for GTM positioning and messaging.

What is the best way to identify why deals are lost using sales call transcripts?▼

Identify why deals are lost by aggregating sales call transcript feedback by outcome and frequency, preventing reliance on anecdotal evidence while highlighting specific missing features or objection themes.

Do I need to redact PII before processing sales transcripts for churn and win-loss analysis?▼

Yes, you must redact PII before processing sales transcripts for churn and win-loss analysis. Transcript normalization and PII redaction are required to ensure data privacy and evidence-bound output quality.

Can I process a batch of monthly sales transcripts to update competitive battlecards?▼

Yes, you can process a batch of monthly sales transcripts to update competitive battlecards. The analysis aggregates call data to identify why lost deals cite missing features, allowing you to update positioning docs accordingly.

How does competitive intelligence extraction work from sales calls?▼

Competitive intelligence extraction from sales calls works by automatically grouping transcript insights by competitive context and outcome frequency, synthesizing verbatim quotes to support strategic recommendations for positioning.

What are the limitations of analyzing sales transcripts for GTM insights?▼

Limitations of analyzing sales transcripts for GTM insights include the strict requirement for transcript normalization and PII redaction, meaning unstructured or unredacted call data will compromise evidence-bound output quality and data privacy.