Get ahead: advanced moveSource-backedVerified 2026-04-20
Recruiter / HR Talent Acquisition Specialist / Source passive candidates via LinkedIn Boolean searches and outreach
LinkedIn Talent Insights + Claude API segmentation
Use LinkedIn Talent Insights to pull market-level supply and compensation data. Feed the exports plus your role brief into a Claude API workflow that segments the market, writes tier-specific outreach, and flags segments where you should not cold-message at all.
Best for
Analysis & Decisions
Talent Insights subscription + API usage (typically <$0.05 per segment pass)
Setup
3 hrs
One-time setup estimate
Workflow
- 1Collect the source material for "Source passive candidates via LinkedIn Boolean searches and outreach" before opening the tool.
- 2Run the starter prompt in LinkedIn Talent Insights + Claude API and paste in the real context.
- 3Review the output for accuracy, tone, names, numbers, and policy-sensitive details.
- 4Save the improved prompt or checklist so the next run takes less time.
Inputs you need
- - Recruiter / HR Talent Acquisition Specialist
- - Source passive candidates via LinkedIn Boolean searches and outreach
- - Examples, notes, files, or customer context for this task
- - Your preferred tone, constraints, and final format
Expected output
- - LinkedIn Talent Insights + Claude API segmentation
- - A usable draft or workflow for source passive candidates via linkedin boolean searches and outreach
- - A repeatable prompt you can improve after each run
Ready-to-copy asset
Starter prompt
You are segmenting a candidate pool for outreach. Input:
- Target role and must-haves
- Talent Insights export rows (location, seniority, current employer, skills)
- Outreach volume budget this week
Return a JSON plan:
{
"segments": [
{
"name": "...",
"size": 0,
"rationale": "...",
"outreach_priority": "high|medium|low|skip",
"opener_template": "...",
"risk_notes": "..."
}
],
"do_not_contact": ["...current employer exclusions, recent candidates, etc."]
}
Never output real candidate names. Flag any segment where bias risk or legal risk (non-compete, protected class proxies) makes automated outreach unsafe.Caveats
- - Do a human review before sending, publishing, filing, or making a decision.
- - Verify numbers, names, claims, citations, and compliance-sensitive details.
- - AI drafts. You decide. Final responsibility is yours.
Measurable value
5 min saved per run
Before: 6 min. After: 1 min.