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

• Data Model – deal metadata (segment, region, product, stage), outcome, competitor, primary driver, secondary driver, confidence.

• Qualitative Tags – categories for pricing, product gaps, implementation, support, brand, relationships.

• Quotes & Evidence – key quotes, call clips, doc references with consent + access controls.

• Analytics Layer – dashboards for driver frequency, trendlines, influence on win rate, revenue impact.

• 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.