ooligo

GoodTime

interview-scheduling interview-coordination · scheduling-automation · interviewer-load-balancing · candidate-experience
AI-NATIVE API
Recruiting & TA
7.6 /10

What it is

GoodTime is the interview-scheduling platform that competes head-to-head with ModernLoop on the same job-to-be-done — automating multi-person, multi-stage interview-loop coordination. Founded 2016, GoodTime is the older entrant in the category and maintains the larger enterprise installed base; ModernLoop has been the more aggressive AI-native challenger since 2022.

Why it shows up in Recruiting stacks

  • Mature enterprise footprint. Deployed at large companies (Pinterest, Spotify, Slack pre-Salesforce) at scale; battle-tested in complex multi-business-unit hiring environments.
  • Interviewer load balancing across teams. Distributes interview load fairly across eligible interviewers, surfaces overloaded interviewers, prevents the “always-the-same-people-interviewing” pattern that burns out senior team members.
  • Candidate experience layer. Calendar invitations, interview-prep emails, post-interview surveys, and reminder workflows that meaningfully improve candidate experience scores.

Pricing

  • Custom only. Per-recruiter or per-coordinator pricing; effective rates from $200-500/coordinator/month at mid-market scale.
  • Volume pricing for high-volume hiring teams.
  • Implementation typically 30-60 days.

Best for

  • Mid-market and enterprise companies running 50+ interview loops per month
  • Engineering and sales hiring with multi-round panel interviews
  • Organizations replacing manual scheduling coordination — typically 1-2 dedicated coordinators FTE saved at meaningful scale

Watch-outs

  • Compete head-to-head with ModernLoop and Prelude (Calendly) — choice depends on existing ATS integration, AI feature parity, and team preference
  • Native ATS scheduling is improving rapidly (Ashby ships strong scheduling out-of-the-box); evaluate whether the ATS-native option suffices before adding GoodTime
  • For SMB or low-volume hiring, native ATS scheduling or Calendly suffices
  • Quality of automation depends on accurate interviewer availability + skills tagging — garbage-in produces wrong panel composition