Filters & Refinement
How to use standard filters to organize and segment your search results.
The Difference: Chat vs. Filters
It is important to understand when to use the AI Chat and when to use Filters:
- Use AI Chat: When you need to change the logic of the search (e.g., "Exclude managers," "Focus on Fintech," or "Find people similar to X"). The Chat updates the algorithm and finds new candidates based on semantic meaning.
- Use Filters: When you have a good list of candidates and want to view specific segments within that list.
Configuring Filters
Filters are available on the Search Results page and inside Projects. Standard filters operate on an "Include" basis.
1. Location & Remote
- City/Country: Select specific geographic areas.
- Remote: Toggle to see candidates open to remote work.
2. Skills & Stack
While our AI automatically detects relevant skills based on your prompt, you can manually enforce requirements here.
- Selection: Checking a skill filters the list to show only candidates who explicitly possess that technical skill.
3. Experience & Role
- Job Titles: Filter by current or past job titles.
- Years of Experience: Set a minimum or maximum range.
- Seniority: Filter by level (Junior, Mid, Senior, Lead, C-Level).
4. Company & Industry
Glozo allows you to filter candidates based on the profile of their current or past employers.
- Specific Companies: Search for candidates from specific firms (e.g., "Google", "Stripe").
- Industry: Narrow down by sector (e.g., Fintech, HealthTech, E-commerce).
5. Education
- University: Filter by specific institutions (e.g., "Stanford University").
- Degree: Filter by education level (Bachelor's, Master's, PhD, MBA).
- Field of Study: Narrow down by major.
6. AI Insights & Predictive Filters (Killer Features)
Glozo goes beyond static resume data. We use proprietary algorithms to analyze market signals and estimate candidate viability.
Open to Offers (Predictive Signal)
Many great candidates are passive - they haven't explicitly updated their LinkedIn status to "Open to Work."
- How it works: Our AI continuously aggregates data signals (e.g., tenure duration, company volatility, activity spikes) to predict the probability of a candidate being open to new opportunities.
- Usage: Use this filter to uncover "hidden gems" - high-quality talent that competitors aren't contacting yet.
Market Value (Estimated Salary)
Stop guessing if a candidate fits your budget.
- How it works: We analyze thousands of live job postings and map them against our Proprietary Skills Taxonomy. This allows us to calculate the specific monetary value of each skill in a candidate's stack.
- Usage: Filter candidates by their estimated market value to instantly align the talent pool with your hiring budget.
Working with Large Lists
Since a broad search might return 1,000+ candidates, filters are your best tool for processing the list in chunks:
- Start Broad: Do a general search via AI to capture the widest pool.
- Save to Project: Save all promising candidates to a Project.
- Filter in Project: Inside the Project, use filters to tackle specific segments day by day.
- Example: "Today I will review only candidates with a Market Value under $150k who are Likely Open to Offers."