Re-surfacing Hidden Social Care Talent: Your Missed Database Candidates
Don't let qualified social care professionals slip through the net.
Did you know that over 40% of social care roles remain vacant for more than three months? With thousands of candidates already in your database, could the answer lie within?
The Silent Social Care Talent Pool
Your recruitment CRM holds a wealth of untapped potential – qualified social care workers who applied previously but have since slipped under the radar. This could be due to outdated skills, changing role requirements or simple administrative oversights. According to Skills for Care, the sector is facing significant skill shortages, making every suitable candidate count.
AI-Driven Candidate Resurfacing
BLOOT's AI solution scours your database, re-evaluating candidates based on real-time role requirements. It automatically updates their profiles with new skills and certifications, and flags those who now match – even if they applied years ago. By integrating with your existing workflow, you'll have a constant stream of refreshed candidate suggestions.
Improving Fill Rates & Time-to-Hire
By re-surfacing hidden talent, you can improve fill rates by up to 30% and reduce time-to-hire by an average of two weeks. Not only does this save significant recruitment costs, but it also ensures that your organisation benefits from the diverse skills and experiences of those who might otherwise have been forgotten.
Frequently Asked Questions
How does AI handle candidates with outdated skills?
Our AI solution automatically updates candidate profiles based on new skills gained through courses or professional development, ensuring they're accurately represented in your search results.
Can the AI adapt to changes in role requirements?
Yes, our system continually learns and adapts to changing role requirements. It uses natural language processing to understand job descriptions and match them with candidate skills and experiences.
How much time does resurfacing candidates save?
On average, our clients save around 10 hours per hire by re-surfacing hidden talent in their database. This adds up to significant time savings across multiple roles.
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