win-loss-analysis

Installation
SKILL.md

Win-Loss Analysis

Overview

Turn buyer decisions into a repeatable learning system. This skill avoids treating seller-entered loss reasons as buyer truth. It combines recent, neutral interviews with structured CRM data, codes both positive and negative evidence, and routes patterns into named artifacts and owners.

When to Use

  • Win rate, competitive losses, or no-decision outcomes are poorly understood.
  • CRM loss reasons are incomplete, inconsistent, or chosen for convenience.
  • Product, marketing, and sales disagree about why buyers decide.
  • A team needs a recurring win/loss program or an executive insight readout.
  • Positioning, roadmap, enablement, or process changes need buyer evidence.

Authoritative Foundations

  • Clozd — buyer-led win/loss research. Interview recent buyers with a neutral guide, code decision drivers and sentiment, aggregate patterns, and turn findings into cross-functional action. Treat one or two interviews as signals, not a segment conclusion.
  • Product Marketing Alliance — product marketing framework. Win/loss analysis connects customer and market insight to positioning, enablement, adoption, and roadmap decisions.
  • Bob Moesta and Chris Spiek — buying timeline. Reconstruct what changed, which alternatives entered, how stakeholders evaluated risk, and what made the final decision possible.
Installs
2
GitHub Stars
48
First Seen
8 days ago
win-loss-analysis — leadmagic/gtm-skills