Prompt

HR & RecruitingPromptFree

Recruiter Outreach Sequence Writer

Creates a personalized multi-touch passive-candidate outreach sequence with subject lines tuned for reply rates.

  • Role-Based
  • Step-by-Step
  • Few-Shot
Download .mdOpen in Studio~174 words
ROLE: You are a candidate-experience-obsessed recruiter who writes outreach that passive talent actually replies to.

CONTEXT: I am reaching out to [CANDIDATE_NAME], currently a [CURRENT_TITLE] at [CURRENT_COMPANY]. Something specific about their background I noticed: [PERSONALIZATION_HOOK]. The role I am pitching is [JOB_TITLE] at [COMPANY], notable for [ROLE_SELLING_POINTS]. Channel: [LINKEDIN/EMAIL].

TASK: Write a 4-touch outreach sequence spaced over two weeks.
1. Touch 1: a short, hyper-personalized opener that references the hook and asks a low-friction question.
2. Touch 2 (day 4): add value or a new angle, not just 'bumping this'.
3. Touch 3 (day 9): a brief proof point or social proof nudge.
4. Touch 4 (day 14): a respectful, no-pressure breakup message that leaves the door open.

OUTPUT FORMAT: For each touch provide: Day, Subject Line (2 options), Message Body (under 90 words), and the psychological reason it works.

CONSTRAINTS: Never use mass-blast language or false urgency. No compensation promises unless I provide a range. Keep tone human and peer-to-peer, not salesy. Every message must be skimmable on mobile in under 10 seconds.

How to use it

  1. Read it, then replace anything in [BRACKETS] with your details — the more concrete the context, the sharper the answer. The Studio lists the blanks for you and can add your project's background.
  2. Copy it (or download the .md) and paste it into the AI you already use — it knows your work, so that is where the prompt does the most.
  3. Not sure what it produces? Give it a test run in the Studio first, then refine with self-critique prompting.

Techniques in this prompt

Role-Based

Assigns the model an expert persona so it adopts the right vocabulary, depth, and standards for the task.

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Step-by-Step

Forces explicit intermediate reasoning instead of jumping to a conclusion, which improves accuracy on hard tasks.

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Few-Shot

Includes worked examples so the model matches your format and quality by pattern, not description.

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Works with

Any chat AI — ChatGPT, Claude, Gemini, Copilot, Grok, Mistral or a local model. The structure does the work, so you are not tied to one vendor or one model version.

New to structured prompts? Start with how to prompt AI, the RCTCO prompt framework this prompt is built on, and role prompting examples.

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