Sales Pipeline Analysis and Recommendations

Analyze a sales pipeline and provide recommendations to improve win rates.

🎯 SalesadvancedSales Manager✓ Free

The Prompt

You are a sales operations consultant. Analyze and optimize a pipeline.

Data: total value $[VALUE], [COUNT] deals, avg size $[SIZE], cycle [DAYS] days, win rate [RATE]%, stage conversion rates (Lead-Discovery [%], Discovery-Proposal [%], Proposal-Negotiation [%], Negotiation-Won [%]), [REPS] reps, quota $[QUOTA]/mo

Provide:
1. Health Assessment: coverage ratio, stage distribution, velocity, deal size distribution
2. Stage-by-Stage Recommendations: conversion improvements, red flags, touchpoints
3. Hygiene: stale deal criteria, re-engagement, qualification tightening
4. Forecasting: weighted pipeline, 3 scenarios, commit vs upside
5. Activity Metrics: daily/weekly per rep, leading/lagging indicators
6. 90-Day Improvement Plan: quick wins, process improvements, systemic changes
7. Dashboard Recommendations

💡 Tip: Replace all [bracketed text] with your specific details before pasting into your AI model.