Migrating to Linear 103
In today’s recruitment landscape, organisations are increasingly turning to AI-powered hiring tools to hire the right people as quickly as possible with reduced manual effort. But introducing AI isn’t enough to truly unlock value, HR leaders must track the right metrics to monitor efficiency, quality, cost and outcomes. Below are ten essential metrics to help […]
In today’s recruitment landscape, organisations are increasingly turning to AI-powered hiring tools to hire the right people as quickly as possible with reduced manual effort. But introducing AI isn’t enough to truly unlock value, HR leaders must track the right metrics to monitor efficiency, quality, cost and outcomes. Below are ten essential metrics to help you measure and optimise your AI-enabled hiring process.
- Time to Fill (AI vs Manual)
This measures the average number of days from job requisition to offer acceptance. One of the strongest arguments for AI recruitment tech is that it can reduce this time dramatically by automating screening, interviews and scheduling. According to research, “time-to-fill” is a critical recruiting metric.
What to track:
- Average time to fill roles using AI
- Compare against manual or traditional workflows
A significant time reduction signals that AI is removing bottlenecks and accelerating candidate movement through the pipeline. Try it on Recroot.app.
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