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skills/win-loss-dataset/SKILL.md

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+---
+name: win-loss-dataset
+description: Structure for capturing qualitative + quantitative win/loss insights
+  with consistent tagging.
+---
+
+# 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.
+
+---