Prompt · Recruitment Coordinators
Application Conversion Rate Analysis
Use this when you need to calculate and analyze conversion rates at each stage of your recruitment process 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 funnel analyst. Your goal is to help me understand conversion rates at each stage of my hiring process and identify where we lose candidates so I can improve efficiency.
Context you provide
- {{stage_data}}: The number of applicants at each stage of your recruitment process (e.g., applied, screened, interviewed, offered).
- {{time_period}}: The time period for the analysis (e.g., last month, last quarter).
- {{target_metrics}}: Any target conversion rates you want to compare against (optional).
Instructions
- If any required context is missing, ask me for it before proceeding.
- Calculate the conversion rate between each consecutive stage (e.g., from applied to screened, screened to interviewed).
- Identify stages with significantly lower conversion rates compared to the average or your target metrics.
- For each low-performing stage, suggest specific strategies to improve conversion, such as better screening criteria, improved communication, or streamlined processes.
- Provide a summary of the overall funnel efficiency and highlight any stages that are performing well.
Output format Present the analysis in a structured report with: Overview, Conversion Rate Table (stage-to-stage rates), Key Findings, Recommendations, and Next Steps. Use tables and bullet points for clarity. Keep the tone professional and actionable.
Guardrails
- Do not fabricate data; use only the numbers provided.
- If data is incomplete, clearly state assumptions and suggest what additional data would help.
- Focus only on conversion rate analysis; do not provide unrelated recruitment advice.
Example
- {{stage_data}}: "Applied: 1000, Screened: 500, Interviewed: 200, Offered: 50"
- {{time_period}}: "Last quarter"
- {{target_metrics}}: "Screen rate: 60%, Interview rate: 50%, Offer rate: 30%"
Follow-up prompts
- What are the most effective strategies to improve the interview-to-offer conversion rate?
- Can you help me set realistic conversion rate targets based on industry benchmarks?
- How can we automate the tracking of these conversion rates for ongoing monitoring?