GLIDER.ai Connector
Glider AI streamlines talent acquisition by providing high-quality candidate assessments with easy integration and seamless hiring workflows.
About GLIDER.ai Connector
The Glider AI Talent Quality Platform ensures consistent, high-quality hiring across industries and roles, whether full-time or temporary. The GLIDER.ai Chrome extension enables effortless synchronization of assessments and candidate data, facilitating smooth scheduling of interviews without the need for API setups or manual uploads. Hiring teams gain immediate access to detailed candidate test reports, enabling effective evaluation of skills and competencies for better hiring outcomes.
How to Use
Install the GLIDER.ai Chrome extension to automatically sync assessments and candidate profiles. Use it to schedule interviews effortlessly and review detailed test reports to evaluate candidate skills efficiently, all without manual data entry or API setup.
Features
- Easy integration with applicant tracking systems via Chrome extension
- Detailed candidate competency reports
- Supports hiring for both permanent and temporary roles
- Advanced talent assessment and skill validation
- Tools for ongoing talent development and training
- Automated interview scheduling to save time
Use Cases
- Automating candidate data synchronization and interview scheduling to accelerate hiring processes.
- Identifying skill gaps to enhance talent development and training programs.
- Improving hiring quality through AI-powered assessments of candidate skills and competencies.
Best For
Pros
- Streamlines interview scheduling automatically
- Supports both recruitment and talent development initiatives
- Reduces manual data entry and API complexities
- Ensures high-quality candidate hires
- Provides comprehensive assessment reports
- Integrates seamlessly with existing hiring workflows via Chrome extension
Cons
- Initial setup and configuration of the Chrome extension may be required
- Full functionality depends on the Chrome extension platform
- Assessment quality relies on the effectiveness of AI evaluations