Although Boolean search can help recruiters narrow down their candidate search, it comes with many potential issues that can cause recruiters to miss the great candidates already in their database. In this Daxtra masterclass, David Mercer talks about what these challenges are and how AI-powered search solutions can help recruiters make much better use of the candidate data they already have.
What’s wrong with CRM search?
The built-in search functions in most CRMs use structured data to find the existing candidates in your database. Typically, the search fields include job titles, skill codes, attributes and tags.
Yet there might be a few issues with this approach:
- If candidates have unpopulated fields on their records, they will not appear in the search results
- Manual data-entry may lead to poor data hygiene as recruiters are too busy to properly skill code candidates
- Automated skill coding can be inaccurate and out of date
- Results are often not ranked by relevance
Boolean search – better but not the best
Boolean search is a method of logic used in recruitment to help recruiters with their candidate search by narrowing down the pool of relevant candidates. Although this can be very precise, it still creates new challenges.
- It is complicated to build a Boolean string and a single missing bracket can skew the results
- Boolean search is binary, so it only knows if the searched term exists in the CV or not, and does not take context into account
- Boolean search ranks candidates based on term repetition, and so prioritises the number of times a term appears over the relevance – and therefore the quality of candidate
AI-powered search – get the most from your database
Daxtra Search Nexus offers four main techniques to make searching your database easy and efficient:
- Term categorisation: Understands what the term means based on its context, not just what it says.
- Term expansion: Helps you find relevant candidates no matter how they describe their jobs.
- Term proficiency: Lets you specify the exact level of experience needed to fit the job criteria
- Intelligent ranking: Ranks the best talent intelligently by relevance based on experience and proficiency, just as a human would.
Read about what David covered in the masterclass in more detail and watch the video here.
