AI Interview Dashboard
(To see a larger version, right click and open image in new tab) Business Problem: The customer, a leading software company, is investing heavily in artificial intelligence (AI).

(To see a larger version, right click and open image in new tab)
Business Problem: The customer, a leading software company, is investing heavily in artificial intelligence (AI). However, only a select group of staff members possess the specialized skills required to assess AI engineering candidates, making it difficult to manage interview volumes without overwhelming the team.
How This Dashboard Helps: This dashboard provides critical insights for the talent acquisition (TA) team to track and manage AI interview trends. By visualizing interview volumes for both Onsite 1 and Onsite 2 stages, the team can ensure that candidate assessments are distributed effectively. The dashboard also highlights pending interviews and decisions, allowing the TA team to balance workloads and ensure interview volumes do not exceed staff capacity.
Impact: With clear visibility into upcoming AI interviews and ongoing assessments, the TA team can better manage resources, preventing bottlenecks and reducing interviewer overload. This ensures a smoother interview process, leading to a more efficient and positive candidate experience. Candidates benefit from timely scheduling, consistent communication, and reduced wait times for decisions, ultimately enhancing their overall experience.
Please note: The dashboards featured in this workbook are design mock-ups inspired by real customer dashboards. Data and calculations are not reflective of real data.