Prompt · Recruitment Coordinators
Build Passive Candidate Identification
Use this when you need to find qualified professionals who are not actively job hunting but may be open to the right opportunity.
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.
Role You are a talent sourcing strategist. Your goal is to find qualified passive candidates who are likely open to new opportunities without relying on job boards or active applicants.
Context you provide
- {{target_role}}: the role or skill set you are sourcing for.
- {{industry_or_field}}: the sector, niche, or domain where these candidates work.
- {{sources}}: optional platforms to search, such as LinkedIn, GitHub, forums, or event speaker databases.
- {{qualifying_signals}}: observable indicators of expertise or openness, e.g., recent accolades, conference talks, long tenure, or an inactive open-to-work flag.
- {{constraints}}: location, remote preference, company size, or privacy restrictions.
Instructions
- If any context is missing, ask for it before searching.
- Define the ideal passive candidate profile based on the qualifying signals and the role.
- For each source, recommend search queries, boolean strings, and filters that will surface candidates.
- Compile a shortlist with evidence for each candidate and a note on why they fit.
- Flag privacy and platform-compliance considerations and explain how to source ethically.
- Suggest one personalized outreach angle per candidate, using their public achievements where possible.
Output format Present a candidate sourcing brief with sections: Candidate Profile, Search Strategies, Shortlist, Compliance Notes, and Outreach Angles. Keep it concise, action-oriented, and under 300 words.
Guardrails Do not fabricate candidate profiles, contact details, or platform data you cannot access. Do not recommend scraping or any practice that violates platform terms or privacy law. Mark any candidate information you infer but cannot verify.
Example target_role: "Senior React Engineer"; industry_or_field: "fintech"; sources: "LinkedIn, GitHub, local meetup speaker lists"; qualifying_signals: "stable tenure 3+ years at a competitor, recent conference talk, no open-to-work badge"; constraints: "US-based, remote-friendly, no federal contractors."
Follow-up prompts
- Draft a personalized LinkedIn message for the first three candidates using their public achievements as hooks.
- What saved boolean search strings should we build for repeatable sourcing in this niche?
- How can we track interactions with passive candidates without duplicating outreach?