Pipeline stage sorting in Standalone AI Interviewer

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Who: Recruiters, Hiring Managers

Requirements: Standalone AI Interviewer must be enabled. Your user role also requires permissions to manage position workflows or view the positions dashboard.

What's new: A new tag-driven pipeline replaces the previous stage-based model, removing the need for custom, per-tenant stage mapping. Previously, candidates ingested from file upload or an ATS without standard mapped stages couldn't be reliably tracked through the screening process. Now, you have a uniform, out-of-the-box pipeline to track candidates across four tabs - Applicants, AI Interview, Shortlist, and Reject. Additionally, the Positions homepage now features dedicated columns so you can see active AI interview and shortlist counts at a glance.

How it works: Candidate tags automatically update as you schedule AI interviews or select options from the Advance Stage menu, moving the candidate to the corresponding pipeline tab. These actions immediately update the pipeline counts displayed on the Positions homepage.