Table of Contents
Expand or Focus a Search with Fia
Discover New Filters and Attributes to Drive a Focused Search
Overview
Fia is an AI assistant in Findem designed to help recruiters refine candidate searches and uncover stronger matches for open roles.
When reviewing search results, recruiters often know the type of candidate they want but may describe requirements in broad or informal terms. Fia helps translate those ideas into specific search criteria such as skills, attributes, company experience, or career patterns.
You can interact with Fia conversationally to refine your search, better understand your candidate pool, and discover new ways to narrow results.
This article focuses on what Fia is exceptionally good at, and how we suggest partnering with it to find the best results.
Expand or Focus a Search with Fia
When your search results feel too broad, too narrow, or slightly off-target, Fia can help you refine them.
Recruiters often describe ideal candidates using phrases such as:
“Someone who can hit the ground running”
“A strong technical contributor”
“Someone comfortable in fast-moving environments”
“A builder who can create things from scratch”
While helpful for describing a candidate, these phrases are not always directly searchable. Fia helps convert these ideas into specific search criteria that can be applied within Findem.
For example, Fia may help you refine your search by suggesting:
Skills or tools commonly associated with the role: Let's say you're searching for a Software Engineer—Fia may suggest core technologies commonly used in similar roles. For example, if your search includes Python, Fia might recommend adding skills such as SQL, Docker, or Kubernetes if they frequently appear in relevant candidate profiles.
Related or adjacent skills you may want to include: Fia can also suggest adjacent skills that expand your candidate pool while still maintaining strong relevance. For example, if you're searching for engineers with React experience, Fia may suggest including candidates with Angular, Vue.js, or broader JavaScript front-end frameworks.
Company experience filters such as startup, scale-up, or enterprise environments: If you mention wanting someone comfortable in a fast-moving startup environment, Fia may suggest filtering for candidates who have worked at startup or early-stage companies. If the role requires experience navigating complex systems, it may suggest candidates from large enterprise organizations where engineers often work with large-scale infrastructure.
Career pattern attributes that represent certain types of professional experience: If you describe wanting someone who has built products from the ground up, Fia may recommend attributes that highlight candidates who have worked in early product development or 0-to-1 environments. If you’re looking for someone who can scale systems as a company grows, Fia may suggest candidates with experience supporting high-growth or rapidly scaling teams.
Fia may also ask a few short questions to better understand your requirements. These questions help clarify:
The specific technologies or tools required
The depth of expertise needed
Whether certain qualities are required or optional
The type of company environments that best match the role
Your responses help Fia suggest adjustments that either expand the search to uncover more candidates or focus it to highlight the most relevant profiles.
Summarize Top Candidates
Fia can help you understand the candidates currently appearing in your results.
Instead of manually reviewing dozens of profiles, you can ask Fia to summarize the top candidates in your search. This helps identify:
Common skills and technologies across candidates
Typical career paths or professional backgrounds
Companies and industries most represented in the results
Patterns that might indicate strong role alignment
These summaries can help you determine whether your current search is capturing the right type of candidate. For example, a summary might reveal that:
Most candidates come from large enterprise companies
Certain key technologies are missing
Candidates have less experience than expected
The results include adjacent roles that may still be relevant
Understanding these patterns allows you to decide whether to tighten your search criteria or expand it to include additional attributes.
Discover New Filters and Attributes to Drive a Focused Search
Many recruiters start with a few obvious search filters like job title, skills, or location. However, Findem supports a wide range of attributes and filters that can further refine candidate discovery.
Fia can help you uncover additional filters you may not have considered. Based on your role requirements and current results, Fia may suggest:
Additional skills or related technologies
Relevant tools or platforms used in the role
Industry-specific keywords or domain knowledge
Company experience filters (such as startups, high-growth companies, or industry leaders)
Career pattern attributes that capture specific professional experiences
Fia may also identify gaps in your current candidate pool. For example, it might highlight that:
Few candidates have experience with a specific technology
Most candidates come from a particular company size or industry
Certain relevant skills appear only rarely in the current results
By surfacing these insights, Fia helps you identify new filters that can better align your search with the role’s true requirements.
Best Practices
Use Fia as a collaborative partner during candidate discovery. Start with your initial search, then ask Fia questions, review candidate summaries, and explore suggested filters to gradually refine your results.
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