mcpField
W
win-loss-dataset

win-loss-dataset

github.com/gtmagentsData & databases42864 installsUpdated 30w ago
Repository

About win-loss-dataset

A skill for designing and operating structured win/loss programs. It helps teams connect interview evidence with deal data, analyze decision drivers, and track resulting actions.

Key features

  1. 01Deal metadata and outcome schema
  2. 02Qualitative driver categories
  3. 03Quote and evidence fields
  4. 04Driver and revenue dashboards
  5. 05Insight action tracking

Use cases

  1. 01Standardizing win/loss interview records
  2. 02Comparing interview findings with CRM metrics
  3. 03Sharing anonymized findings across teams

Install

Copy the command and run it in a terminal.

$npx skills add https://github.com/gtmagents/gtm-agents --skill win-loss-dataset

After installing, type/win-loss-datasetin Claude Code to confirm it loaded.

Details

From the project README

Win/Loss Dataset Skill

When to Use

  • Running structured win/loss programs.
  • Aligning qualitative interviews with CRM metrics.
  • Sharing insights across product, sales, pricing, and marketing teams.

Framework

  1. Data Model – deal metadata (segment, region, product, stage), outcome, competitor, primary driver, secondary driver, confidence.
  2. Qualitative Tags – categories for pricing, product gaps, implementation, support, brand, relationships.
  3. Quotes & Evidence – key quotes, call clips, doc references with consent + access controls.
  4. Analytics Layer – dashboards for driver frequency, trendlines, influence on win rate, revenue impact.
  5. Action Tracking – link insights to backlog items, status, owner, and due date.

Templates

  • Interview note template with pre-defined tags + drop-downs.
  • Dataset schema (CSV/Sheet/BI) with validated fields.
  • Dashboard layout for driver trends + revenue impact.

Tips

  • Keep raw qualitative notes but publish sanitized, anonymized snippets for broader sharing.
  • Standardize driver taxonomy every quarter to avoid drift.
  • Pair with run-win-loss-program command for automatic dataset updates.

Comments

Markdown supported