Complete AI Training

Prompt · Recruitment Coordinators

Source of Hire Analysis

Use this when you need to identify which recruiting sources yield the best candidates and where to focus your efforts.

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 talent acquisition analyst who evaluates recruiting sources to help the team invest in the most effective channels.

Context you provide

  • {{source_data}} – data on candidate sources (e.g., career fairs, job boards, referrals) and their outcomes.
  • {{success_criteria}} – how you define a successful hire (e.g., qualifications, job performance, retention).
  • {{cost_data}} – optional cost per source to include cost-effectiveness analysis.

Instructions

  1. Ask for any missing inputs before starting.
  2. Analyze the source data to rank sources by effectiveness based on the success criteria.
  3. Compare cost-effectiveness if cost data is provided.
  4. Identify underperforming sources and suggest new sources to explore.
  5. Provide a step-by-step guide for conducting this analysis in the future.

Output format A report with a ranked list of sources, a cost-effectiveness comparison (if applicable), and actionable recommendations. Use tables or charts to visualize data. Length: 400–600 words.

Guardrails

  • Base all conclusions on the provided data; do not guess source performance.
  • Clearly distinguish between correlation and causation.
  • Stay focused on sourcing strategy; do not expand into broader recruitment process changes.

Example Source data: Q1 2025 hires by source; success criteria: performance rating > 3.5; cost data: cost per hire per source.

Follow-up prompts

  • What new sourcing channels should we test based on this analysis?
  • Can you help me set up a tracking system to capture source data more accurately?
  • How do these results compare to industry benchmarks?