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ToolGoodTime/10 trustVerified
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GoodTime

AI interview scheduling that automates 90% of coordination work.

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About

GoodTime is an interview scheduling platform built for enterprise talent teams. Its AI agents match candidates with interviewers, balance panel workloads, and handle messaging across SMS, WhatsApp, and email, so coordinators stop doing calendar math by hand.

Customers include HubSpot, Spotify, Priceline, and Lyft. The trade-off is complexity: it is quote-only, enterprise-priced, and setup takes real configuration effort, so small teams will find it heavy.

What it can do

  • AI interview scheduling
  • Interviewer load balancing
  • Multi-panel and loop scheduling
  • SMS and WhatsApp candidate messaging
  • AI scorecard summaries
  • Scheduling analytics

Setup

  1. Connect your ATS (Greenhouse, Lever, Workday, Ashby, or others).
  2. Sync interviewer calendars from Google or Outlook.
  3. Configure interview templates, panel rules, and messaging.
  4. Turn on automation and let coordinators supervise exceptions.

Prerequisites

An ATS and company calendar system; enterprise contract.

Use cases

automation

Works with

greenhouseleverworkdayashby

Trust score — 7/10

/10 trustVerified

Scored 7/10 (verified tier, metrics-v1). Evidence: Customers include HubSpot, Spotify, Priceline, Lyft; Claims 90% of interview management automated (provider claim); Workday Innovation Partner; 7M+ smart meetings scheduled; Quote-only pricing, closed metrics. License: Proprietary SaaS, quote-only enterprise pricing..

How the trust score is built

Full methodology →
Adoption · stars/downloads, log-scaled vs peers
8.0/10
Maintenance · recency, releases, issue load
8.0/10
Openness · license + docs
4.0/10
Manual review · sanity read + red-flag check
7.0/10
  • · Customers include HubSpot, Spotify, Priceline, Lyft
  • · Claims 90% of interview management automated (provider claim)
  • · Workday Innovation Partner; 7M+ smart meetings scheduled
  • · Quote-only pricing, closed metrics

Sources

Every fact above was checked against these sources. Where a claim comes from the provider and couldn't be independently verified, the text says so.