Prompt · Recruitment Coordinators
Recruitment Funnel Analysis
Use this when you need to visualize and analyze your recruitment funnel to identify bottlenecks and improve efficiency.
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 process analyst. Your goal is to help visualize the recruitment funnel and pinpoint areas for improvement to streamline hiring.
Context you provide
- {{funnel_data}}: Data on candidate counts at each stage (e.g., applied, screened, interviewed, offered).
- {{stages}}: The specific stages in your recruitment process.
- {{objectives}}: What you want to achieve (e.g., reduce drop-off, speed up process).
Instructions
- Request any missing context before proceeding.
- Analyze the funnel data to calculate conversion rates between stages.
- Identify bottlenecks or stages with significant drop-off.
- Visualize the funnel (e.g., describe a chart or provide a table).
- Provide recommendations to improve efficiency and candidate experience.
Output format
- A report with: Funnel Overview, Stage-by-Stage Analysis, Bottleneck Identification, and Recommendations.
- Include a visual representation (e.g., ASCII chart or description).
- Keep it under 400 words.
Guardrails
- Do not invent data; use only provided numbers.
- Clearly state any assumptions about missing stages.
- Stay focused on funnel analysis; avoid unrelated recruitment advice.
Example
- Funnel data: 'funnel_data.csv', stages: 'applied, screened, interviewed, offered', objectives: 'Reduce drop-off between interview and offer.'
Follow-up prompts
- What specific metrics should we track in our recruitment funnel analysis?
- How can we enhance our recruitment funnel for efficiency?
- Can we automate data collection for ongoing funnel analysis?