Structured Interview Generation and Scheduling

From use case: Structured Interview Generation and Scheduling

Veriff, an online identity verification company, implemented AI-powered scheduling after achieving unicorn status in 2022 and facing the challenge of scaling hiring across Europe, North America, and Latin America. According to a GoodTime case study, the company completed implementation within two weeks and subsequently reduced time-to-hire to 25 days, a 22% decrease between 2023 and 2025. Lead time and turnaround time decreased 26.4% and 28%, respectively, during the same period. Veriff made over 450 global hires in the 2.5 years following adoption, coordinating multi-step interview processes across 12 time zones.

Glovo, a European on-demand delivery platform, adopted AI scheduling to address quality-of-hire priorities and administrative inefficiency. According to a GoodTime case study, the company achieved a 73% improvement in time-to-schedule and a 62% reduction in administrative errors within the first four weeks. Overall time-to-hire dropped by 20% to 25%. The platform's interviewer load management enabled the talent acquisition team to redistribute interview workloads across teams in minutes when business priorities shifted.

A global design platform reported reducing its recruitment process from more than 80 steps to a fraction of that total after implementing AI-enhanced scheduling, achieving an 84% reduction in process steps. The same organization saw its reschedule rate decrease by more than 87% following an initiative to increase recruiter and interviewer engagement with the scheduling system in April 2024.