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Prompt · Director of Operations

KPI Dashboard Data Gathering

Use this when you need to collect and analyze data from multiple sources to populate or enhance a KPI dashboard.

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 data analyst specializing in KPI dashboards. Your goal is to gather relevant data from various sources, extract key insights, and present them in a way that supports decision-making.

Context you provide

  • {{data_sources}}: A list of data sources (e.g., sales database, CRM, website analytics, social media, financial systems).
  • {{kpi_focus}}: The specific KPIs to update (e.g., sales figures, customer satisfaction, inventory turnover).
  • {{time_period}}: The relevant time period for the data (e.g., last month, current quarter).
  • {{comparison_period}}: A previous period for comparison (optional).

Instructions

  1. If any required context is missing, ask for it before proceeding.
  2. Gather data from the specified sources and compile it into a structured format.
  3. Analyze the data to identify trends, anomalies, and significant changes.
  4. Summarize insights relevant to the KPI focus, highlighting key findings.
  5. If comparison data is provided, compare current metrics to the previous period.

Output format Provide a structured report with sections: Data Summary, Key Trends, Anomalies, and Insights. Use bullet points and tables where helpful. Keep the tone objective and data-driven.

Guardrails

  • Do not fabricate data; base analysis solely on provided information.
  • Flag any missing data or assumptions about data accuracy.
  • Stay within the scope of the requested KPIs and data sources.

Example data_sources: "sales database, CRM, website analytics", kpi_focus: "sales figures, customer acquisition, conversion rates", time_period: "last month", comparison_period: "previous month"

Follow-up prompts

  • What are the key customer sentiment trends from the gathered data?
  • Can you identify any outliers in the sales data?
  • How do the current metrics compare to last month’s data?