FastTrack AI Application Reviews, Automated Stage Movement, and Asynchronous Phone Screens for Greenhouse

FastTrack from EarnBetter is an AI-driven screening and phone-screening integration built to work inside Greenhouse. It automatically evaluates incoming applications, runs on-demand AI phone screens, and advances qualified candidates through your pipeline based on rules you define — all designed to reduce manual triage and speed time-to-hire. This article explains exactly how the FastTrack integration works, which recruiting teams benefit most, and the measurable gains you can expect once you add it to a Greenhouse workflow.

At a high level, FastTrack performs two primary automation tasks: AI Application Reviews that score and filter applicants at the point they enter Greenhouse, and AI Phone Screens that engage candidates asynchronously and return structured evaluation data. Combined with automated stage movement and analytics, the integration turns a high-volume inbound funnel into a prioritized pipeline of ready-to-interview candidates.

Who should consider FastTrack

• High-volume hiring teams Teams facing hundreds or thousands of applications per role who need a consistent, repeatable way to surface qualified candidates without manual review overload.
• Small recruiting teams supporting many requisitions Recruiters who must prioritize strategic outreach and interviews rather than spend time on first-pass screening.
• Companies scaling across regions (EMEA, North America) Organizations hiring in multiple markets that need standardized screening logic and analytics across locations.
• Teams using Greenhouse as their ATS Any Greenhouse customer who wants a tightly integrated screening and phone-screening workflow that pushes structured evaluations back into the ATS.

Core FastTrack features at a glance

• AI Application Reviews Real-time, criteria-based applicant scoring that evaluates required and preferred qualifications and auto-advances candidates when thresholds are met.
• AI Phone Screens Asynchronous phone interviews the AI schedules and conducts; candidates respond on their own time and get a consistent, engaging experience.
• Automated stage movement Move candidates through Greenhouse automatically using a rule set tied to evaluation results — eliminates manual clicks and missed handoffs.
• Automated setup and QuickStart Pre-built templates and streamlined onboarding let you set up your first role in under 15 minutes.
• Assessments, media screening, and analytics Add skill assessments and media checks to the pipeline and monitor performance with recruitment optimization dashboards.

Feature-to-Benefit mapping

Implementation is designed to be low-friction. FastTrack automates most of the configuration from the Resume Screen to the Phone Screen. The QuickStart workflow can have your first role live in less than 15 minutes, and adding recruiters requires minimal steps. There’s no partner implementation fee listed, which reduces upfront cost to experiment with the integration in a production workflow.

Because FastTrack sits inside Greenhouse, evaluation results and phone-screen outputs are fed back into the ATS as structured notes and stage movements. That keeps a single source of truth for candidate status, lets hiring managers see consistent evaluation fields, and preserves auditability for later analysis.

Common questions about FastTrack in Greenhouse

Key metrics to track after deployment

• Time-to-first-response Measure how quickly applicants receive an initial outcome (auto-reject, advance, or invite)—FastTrack should reduce this metric substantially.
• Screen-to-interview conversion Compare the percentage of AI-screened candidates who convert to scheduled interviews versus manual-screened historical baseline.
• Recruiter time reallocation Track hours freed from resume triage that are redirected to high-value activities like candidate outreach and hiring manager collaboration.
• Candidate completion rates For asynchronous phone screens, monitor candidate completion and drop-off to optimize prompts and timing.

Configuration best practices: start with conservative pass thresholds and required criteria, run FastTrack in parallel with manual review for one or two roles, then iterate. Use the analytics dashboard to identify false positives and false negatives, tightening or loosening rules per role. Preserve a review sample to validate model outputs and to train organizational expectations.

Sample rule set examples and expected actions

Limitations and risk controls: AI screens are strengths at scale but they require monitoring. Expect initial tuning, maintain audit logs of automated decisions, and keep a manual override path for edge cases. FastTrack advertises 'bias-conscious evaluations' — treat that as a design objective and validate outcomes with periodic sampling rather than assuming perfect neutrality.

Real-world time-savings examples

• Hiring surge scenario A team with 500 applications per role can cut first-pass resume review time from 40+ recruiter hours per role to under 4 hours of oversight and tuning in the first week.
• Scheduling reduction Asynchronous AI phone screens reduce back-and-forth scheduling by up to 80%, freeing coordinators to focus on panels and stakeholder alignment.
• Faster pipeline hygiene Automated stage movement reduces stale candidates in-screen by ensuring decisions are applied consistently and quickly, improving upstream funnel visibility.

When FastTrack might not be the right fit