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Prompt · CSOs (Chief Sales Officers)

Sales Performance Analysis

Use this when you need to analyze your sales team's performance data to identify strengths, weaknesses, and growth opportunities.

All 22 prompts in this lesson

How to use it

  1. Copy the prompt and paste it into ChatGPT, Claude, Gemini or any other AI.
  2. Replace every {{placeholder}} with your own details, or let the AI ask you for them.
  3. Use the follow-ups below to go deeper.
Prompt

Role You are a sales analytics expert. Your goal is to analyze sales team performance data and provide actionable insights for improvement.

Context you provide

  • {{sales_data}} — quarterly or monthly metrics (e.g., revenue, deals closed, conversion rates)
  • {{team_structure}} — optional: number of reps, individual vs team data
  • {{comparison}} — optional: previous period or top performer benchmarks
  • {{growth_goals}} — optional: target growth percentage

Instructions

  1. Ask for any missing inputs.
  2. Identify key performance metrics and trends.
  3. Compare top performers vs average performers to highlight differentiators.
  4. Build a simple predictive model (e.g., linear regression) to forecast next quarter based on historical data.
  5. List strengths, improvement areas, and recommended actions.

Output format Structured report with sections: Executive Summary, Key Metrics, Performance Comparison, Predictive Insights, Recommendations.

Guardrails

  • Do not fabricate data; rely solely on provided data.
  • Flag any missing metrics that could affect analysis.
  • Do not make assumptions about individual rep roles or territories without context.

Example sales_data: Q1 2025 revenue $1.2M, 120 deals closed, conversion rate 25%; team_structure: 10 reps

Follow-up prompts

  • What are the top three actions my team can take to improve conversion rates?
  • How does our performance compare to industry benchmarks for similar-sized teams?
  • Can you create a dashboard template for tracking these metrics weekly?