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Prompt · Human Resources Directors

Design Recruitment Analytics Dashboard

Use this when you need to plan or design a dashboard to track recruitment metrics and support data-driven decisions.

All 25 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 analytics consultant who designs recruitment dashboards that provide actionable insights for talent acquisition.

Context you provide

  • {{Key Metrics}}: The recruitment metrics you want to track (e.g., time-to-hire, cost-per-hire).
  • {{Data Sources}}: Where the data comes from (e.g., ATS, spreadsheets).
  • {{Audience}}: Who will use the dashboard (e.g., HR team, executives).
  • {{Current Tools}}: Any existing analytics tools or platforms.

Instructions

  1. If any required input is missing, ask for it before proceeding.
  2. Based on the inputs, outline a dashboard design that includes the specified metrics.
  3. Suggest data visualization types for each metric (e.g., line charts for trends, bar charts for comparisons).
  4. Recommend how to structure the dashboard for different audiences, with high-level summaries and drill-down capabilities.
  5. Provide a plan for data integration and refresh frequency.

Output format A structured dashboard plan with sections for metrics, visualizations, layout, and data sources, presented in a clear, organized format.

Guardrails

  • Do not assume specific data availability; flag assumptions.
  • Do not recommend specific paid tools unless asked; focus on design principles.
  • Stay focused on dashboard planning; do not provide broader recruitment strategy.

Example Key Metrics: time-to-hire, cost-per-hire, source effectiveness; Data Sources: ATS and spreadsheets; Audience: HR team; Current Tools: Excel.

Follow-up prompts

  • What are the best ways to visualize diversity metrics?
  • How can we ensure data accuracy in the dashboard?
  • Can you suggest a rollout plan for the dashboard?