Candidate Search AI gives you strong results from the start — but the real power comes from refining your search.
With just a few tweaks, you can narrow your results, adjust your criteria, and hone in on the perfect candidates.
Here’s how to refine your search effectively.
✏️ Adjust Your Natural Language Query
You can change your search simply by typing new instructions in plain English.
For example:
“Add AWS experience”
“Remove fintech experience”
“Show only mid-level candidates”
“Include remote candidates”
The system instantly understands the adjustment and updates the filters for you.
Tip: You don’t need Boolean or technical syntax. Just type what you want.
🛠 Use the Filter Sidebar
The filter panel on the left lets you fine-tune every aspect of your search.
➤ Experience Level
Set minimum and maximum years of experience.
➤ Skills
Add must-have skills
Add nice-to-have skills
Exclude skills
Group skills into AND/OR logic
Set experience levels per skill (Low/Mid/High)
➤ Location
Add one or multiple cities
Apply a radius
Include relocation preferences
Toggle remote roles
➤ Additional Keywords
Add specific terms or phrases to further shape your search.
🎯 Add Must-Have Skills
If you’re getting too many results, add Required Skills.
Required skills act as a strict filter — candidates must have them (or their synonyms) to appear in results.
Use this when you need:
A specific certification
A specific technical skill
A hard requirement
Example:
Add “AWS Certification” as must-have → results narrow immediately.
⭐ Add Nice-to-Have Skills
Nice-to-have skills don’t filter candidates out — they simply boost relevant candidates higher in the list.
Use these when you want:
A preferred framework
A bonus industry experience
A secondary skill
This makes top candidates rise to the top without excluding others.
🚫 Exclude Skills
If you want to prevent mismatches, add negated skills.
Example:
Exclude “Junior” → instantly removes all junior profiles.
Exclude “PHP” → removes candidates with irrelevant expertise.
AI automatically expands exclusions with synonyms.
🌍 Narrow by Location or Radius
Location filters are extremely powerful:
Search a single city
Search multiple locations
Define a radius (e.g., “30 miles”)
Filter for “Willing to relocate”
Include remote-friendly candidates
This is perfect for roles with stricter local requirements.
🧠 Let AI Adjust Your Filters
You can refine your search by simply telling the AI:
“Make it more senior.”
“Narrow the skills.”
“Only show candidates with 5+ years of Java.”
“Add experience with healthcare systems.”
The system updates all related filters intelligently.
🔄 Modify Your Previous Search
Every search is saved with a Search ID, allowing you to:
Reopen past searches
Refine earlier results
Build new searches from previous ones
Share searches with your team (if enabled)
This keeps your workflow consistent and reduces setup time.
🧩 Reinforce Your Results With More Context
If results feel too broad, consider adding:
Industry (e.g., “in fintech” or “in healthcare”)
Seniority (“mid-level”, “senior”, “entry-level”)
Role focus (“backend”, “customer-facing”, “clinical”)
Certifications (“RN license”, “CPA”, “AWS Certified”)
Soft requirements (“strong communication”, “client-facing”)
AI understands these concepts and tightens results accordingly.
⚡ Use Job Descriptions to Refine Automatically
Paste a job description, and AI will:
Extract required & optional skills
Detect seniority
Understand the industry
Identify tools, frameworks, technologies
Apply location rules
Build filters instantly
Refining a search this way saves significant time and ensures consistency.
🎉 Final Tip
Start broad → refine gradually.
AI Search becomes incredibly accurate when you guide it step by step.