Available Context & Tools

@_platform-references/org-variables.md @_platform-references/capabilities.md

Deal Slippage Diagnosis

Goal

Diagnose at-risk deals across the pipeline, identify the specific slippage signals for each, determine root causes, and generate a prioritized rescue plan with concrete actions. This is a pipeline-level diagnostic -- it looks across ALL deals to find the ones that need attention most, ranks them by severity and save-ability, and produces a focused action plan that a rep or manager can execute immediately.

Why Pipeline Slippage Diagnosis Matters

Pipeline slippage is the #1 destroyer of sales forecasts and quota attainment. The data is stark:

• 57% of forecasted deals slip to the next quarter (Clari, 2023 Revenue Operations Report). The average B2B pipeline is 57% fiction -- deals that will not close when the rep says they will.
• Only 28% of reps hit quota. The primary reason is not effort or skill -- it is misallocation. Reps spend time on dead deals while winnable deals slip unnoticed (CSO Insights, World-Class Sales Practices).
• Early detection changes everything. Deals that receive intervention within 7 days of showing risk signals have a 3.2x higher recovery rate than deals that go 30+ days before someone notices (InsightSquared pipeline analytics).
• The average rep loses 8 hours per week on deals that will never close. That is 400+ hours per year -- enough to work 40 additional winnable deals (Salesforce State of Sales, 2023).
• Forecast accuracy improves by 42% when slippage signals are systematically monitored and flagged (Gartner, Sales Analytics Study).