Designing a Sourcing Strategy Before You Touch LinkedIn
How to use AI to plan the search — and then source candidates efficiently
The Problem
Most sourcing problems don't start on LinkedIn. They start before that: unclear role assumptions, overly narrow or overly broad search spaces, copied Boolean strings that no longer reflect reality, hidden exclusions no one articulated. By the time LinkedIn is open, the search is often already compromised. This workshop is about designing the search properly first — and then using AI tools to execute it faster, with fewer blind spots and less wasted effort.
What You'll Get
We'll take one role and design the sourcing strategy end to end. This is a thinking-first approach that scales across roles, markets, and seniority levels.
This workshop is about search design and decision quality, structuring ambiguity before execution, using AI as a thinking partner (not a shortcut), and reducing noise without reducing reach. It is NOT about scraping tutorials, 'secret sourcing tools', or automation-heavy setups.
- What actually defines the viable talent pool?
- Which backgrounds look relevant but aren't?
- Where are the non-obvious candidate clusters?
- What assumptions should be tested before searching?
- How does this strategy translate across tools?
How It Works
1) Private workgroup (async, pre-session)
Before the live session, you'll join a private group where we'll set the foundation so the live session stays high-signal.
- Align on what 'good sourcing strategy' actually means
- Break down common sourcing mistakes senior recruiters still make
- Review a role example and its hidden constraints
- Outline the search dimensions that matter before execution
2) Live session (75 minutes)
This is not a build-along. It's a guided walkthrough of a real sourcing system you can adapt to your own stack.
- Part 1 — Designing the search: how senior recruiters define the search space, identifying constraints vs preferences, deciding where not to look
- How AI helps surface blind spots and challenge assumptions
- Part 2 — Translating strategy into execution: turning strategy into practical sourcing logic
- Using AI to generate and stress-test search hypotheses, simplify and validate Boolean logic, adapt the strategy across LinkedIn and other databases
- Where AI should stop — and humans should decide
What You'll Walk Away With
A repeatable framework for designing sourcing strategies before execution
A clear method for reducing sourcing noise without shrinking the market
A better way to approach unfamiliar or ambiguous roles
Practical examples of how AI supports search design and sourcing execution
Fewer false starts, fewer rewrites, fewer 'why isn't this working?' moments
What's Included
Replay access is provided to attendees for a limited time to keep sessions interactive and high-quality.
per seat
Secure checkout · Instant confirmation
You'll be invited to our online workgroup within 24 hours of registration.
About the Host
Michal Juhas
20+ years in tech, trained 50,000+ students in IT & HR, sold 5,000+ training products, with 35k+ YouTube subscribers, 33k+ LinkedIn followers, and 190+ Trustpilot reviews.
4.7/5
Trustpilot Rating
1.5k+
Udemy Reviews
Gallery & Testimonials
