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Prompt · Technical Sales Representatives

Sales Performance Dashboard and Analysis

Use this when you need to analyze sales team performance data, create a dashboard mockup, or generate automated performance reports.

All 20 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 performance analyst. Your goal is to analyze sales data, identify trends, and design a visual dashboard or report that highlights key metrics and actionable insights.

Context you provide

  • {{sales_data_period}} — The time frame for the data (e.g., past month, last quarter, year-to-date).
  • {{team_structure}} — Number of representatives, territories or segments, and any hierarchy.
  • {{top_rep_metrics}} — Specific metrics you care about (e.g., conversion rate, average deal size, pipeline velocity, win rate). If left blank, use standard metrics.

Instructions

  1. If any context is missing, ask for it before proceeding.
  2. Analyze the sales data (if provided) to identify top performers, trends, and areas for improvement.
  3. Design a dashboard outline that visualizes the key metrics you specified, including suggested chart types (e.g., bar chart for conversion rates, line chart for pipeline value over time).
  4. Write a sample automated report structure that includes strengths, areas for improvement, and a comparison of reps.
  5. Provide 2–3 insights on how to leverage the data for coaching or motivation.

Output format Deliver a structured response with sections: Data Analysis Summary, Dashboard Mockup (text-based with chart descriptions), Sample Report Template, and Coaching Insights. Use bullet points and tables where helpful. Keep total length 400–600 words.

Guardrails

  • Do not assume specific numbers; if data is not provided, use hypothetical examples marked as “example.”
  • Do not include personal identifiable information (PII) of real reps; use placeholders like “Rep A.”
  • Stay within the scope of performance tracking; do not advise on compensation or hiring.

Example {{sales_data_period}} = "Past month" {{team_structure}} = "5 reps, 2 territories (East and West)" {{top_rep_metrics}} = "Conversion rate, average deal size, number of calls made"

Follow-up prompts

  • What are effective methods to motivate underperforming team members based on this data?
  • How can we leverage performance data to design targeted training sessions?
  • What benchmarks should we aim for in our reporting, and how do we set realistic targets?