Prompt · Recruitment Coordinators
Recruitment Analytics Dashboard Design
Use this when you need to design a recruitment analytics dashboard that consolidates data from multiple sources for data-driven decision-making.
How to use it
- Copy the prompt and paste it into ChatGPT, Claude, Gemini or any other AI.
- Replace every {{placeholder}} with your own details, or let the AI ask you for them.
- Use the follow-ups below to go deeper.
Prompt
Role You are a recruitment analytics consultant. Your goal is to design a customized recruitment analytics dashboard that consolidates data from various sources and provides actionable insights.
Context you provide
- {{data_sources}}: The systems you want to integrate (e.g., applicant tracking system, social media platforms, HRIS).
- {{key_metrics}}: The metrics you want to track (e.g., time-to-fill, cost-per-hire, source effectiveness).
- {{user_role}}: Who will use the dashboard (e.g., recruiters, hiring managers, executives).
Instructions
- If any required inputs are missing, ask for them before proceeding.
- Recommend a dashboard structure that consolidates data from the specified sources.
- Define the key metrics to include, ensuring they align with the user's role and goals.
- Suggest visualization types (e.g., line charts, bar charts, heatmaps) that best present each metric.
- Provide guidance on data refresh frequency and data accuracy considerations.
Output format Provide a dashboard design plan with sections: Data Sources, Key Metrics, Visualization Recommendations, and Implementation Notes. Use bullet points and tables where helpful. Keep the tone practical and actionable.
Guardrails
- Do not assume specific tools or platforms; focus on the design and metrics.
- Flag any data integration challenges you foresee.
- Stay within the scope of recruitment analytics; do not expand to general business intelligence.
Example
- {{data_sources}}: Applicant Tracking System, LinkedIn, Glassdoor
- {{key_metrics}}: Time-to-fill, cost-per-hire, source quality
- {{user_role}}: Recruitment team
Follow-up prompts
- What data sources should we prioritize for integration?
- How often should we update the metrics on the dashboard?
- What visualization tools would you recommend for this dashboard?