NEW RECRUITMENT KPI'S FOR TOMORROW'S TALENT ACQUISITION
We are beginning to see some step change improvements in recruiter capability. The promise of AI has been overblown in many areas, but it is clear huge efficiency gains have been seen in areas such as sourcing, CV review, interview note taking, interview scheduling and more. These are areas which previously took large teams for recruiters a lot of time to manage. Now with increased in capability, what does this do to how we measure recruiter performance?
Lets deep dive:
- Pre AI, what were the industry avg numbers: how many reqs per capita, how many hires per month
- What is the number today in 2025?
- What does it look like in 2026?
- Areas of greatest efficiency gain: Applicant Review, Sourcing New Candidates etc
- How has the time distribution changed once AI comes into production?
- Are we spending more time per candidate? Do we have more or less candidate interviews?
- QoH...does this measure change?
- What would we expect once every TA team becomes AI-enabled?
- How do we design a dynamic system of performance measures, which takes into account AI maturity?
- What does this mean for people currently in TA - what skills to develop?
- How do we ensure early entry talent flow?
All this and more, with Adriano Herdman, CEO (We Are Move), Emma Mirrington, Founder (The Talent Labs), Alan Price, Global Head of Talent Acquisition (Deel), Neil Morelli, Founder (Workplace Labs) & friends.
We are on Friday 19th Sep, 2pm BST - follow the channel
here (recommended) and save your spot for this demo by clicking on the green button.
Ep331 is sponsored by our friends
Teamtailor
Let's change it up this week, updated copy below;
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