win-loss

Analyzes CRM, conversation, and enrichment data to determine win/loss causes and generate reports with quotes and flags.

1|1|Updated Mar 13, 2026
One-click install
npx skills add https://github.com/jp-solumhealth/jpstack --skill win-loss
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: win-loss
Source: https://github.com/jp-solumhealth/jpstack/tree/main/win-loss
Command: npx skills add https://github.com/jp-solumhealth/jpstack --skill win-loss

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

Win-loss analysis is often manual, incomplete, and driven by CRM fields that lack context. This Skill centralizes deal records, conversation transcripts, and company enrichment to reveal why deals were won or lost, surface data quality issues, and produce actionable remediation and follow-up plans.

Core Features & Use Cases

  • Multi-source aggregation: Pulls deals and properties from HubSpot, full meeting transcripts and quotes from Fireflies, and company/contact enrichment from Apollo to build a complete picture.
  • Single-deal and portfolio reports: Produces structured single-deal reports with direct quotes, pricing analysis, and root-cause findings, or portfolio-level analysis with win/loss patterns, funnel metrics, and zombie-deal lists.
  • Integrity and cross-reference checks: Runs explicit data-quality rules (stale dates, zombie deals, amount mismatches) and cross-checks CRM fields against conversation evidence before making conclusions.
  • Prescriptive recommendations: Surfaces ICP refinements, pricing observations, process improvements, and prioritized follow-up actions tied to transcript evidence.

Quick Start

Run a win-loss analysis for the Acme Corp deal and generate a single-deal report with direct quotes, data-quality flags, and recommended next actions.

Frequently Asked Questions about win-loss

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

FAQPage Schema
How do I perform win-loss analysis using HubSpot deal records and Fireflies transcripts?

Win-loss analysis aggregates HubSpot deals, Fireflies transcripts, and Apollo enrichment to identify root causes for lost deals. The Skill cross-references CRM fields with conversation evidence to produce structured reports with direct quotes and data-quality flags.

Can I analyze multiple HubSpot deals at once to find pipeline-wide win/loss patterns?

Yes, portfolio-level win-loss analysis evaluates multiple HubSpot deals simultaneously to identify win/loss patterns, funnel metrics, and zombie deals. It surfaces systemic pipeline hygiene issues and generates prioritized remediation actions tied to transcript evidence.

What is the best way to cross-reference Apollo enrichment data with CRM fields for sales-analysis?

The best way to cross-reference Apollo data for sales-analysis is applying integrity checks that match CRM fields against conversation evidence. This process flags stale dates, amount mismatches, and zombie deals before generating final conclusions.

Does win-loss analysis require conversation transcripts to determine why deals are won or lost?

Conversation transcripts from Fireflies are required to extract direct quotes and contextual evidence for deal intelligence. Without transcripts, the analysis relies solely on CRM fields which often lack the context needed to accurately determine root causes.

How do I identify zombie deals and pipeline hygiene issues in HubSpot?

Pipeline hygiene issues and zombie deals are identified through explicit data-quality rules that scan HubSpot records for stale dates and amount mismatches. The Skill cross-checks these CRM properties against Fireflies conversation evidence to flag inactive opportunities.

What kind of prescriptive recommendations can I generate from deal intelligence and conversation analysis?

Deal intelligence generates prescriptive recommendations including ICP refinements, pricing observations, and process improvements. These actionable next steps are directly tied to transcript evidence and data-quality flags surfaced during the win-loss investigation.