Improving the candidate experience has been a perpetual goal in recruiting. Despite the best intentions, the improvement process's effectiveness still ebbs and flows with the changes in supply and demand in the labor market. However, are things finally about to change?
Ever since the exponential acceleration in the development of AI, I've been excited about the possibility of technology delivering a genuinely personalized candidate experience at scale.
So, what does this vision look like? Which elements are already possible, and what do TA leaders need to do to make it a reality?
My guest this week is Don Tomlinson, CTO at Daxtra. In our conversation, Don gives us a refreshingly pragmatic view of the AI use cases that can combine to build a personalized candidate experience and highlights pitfalls and dangers to be aware of.
In the interview, we discuss:
Using AI to diversify talent pools
Taking out the background noise
Personalizing the candidate's experience in real-time
Bespoke communication at scale
Automatically tailoring the hiring process to individual circumstances.
Transparency
The dangers of losing the human touch
Efficiencies, investment, and ROI
Build vs Buy, Core Vs Complementary
AI self-auditing to improve strategy and process
What will the future look like?
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