Update candidate stage after AI interview summary creation
When Metaview finishes generating a post-interview summary, automatically update the applicant's pipeline stage in Tracker.
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How Knit builds this workflow
The Agent researches both APIs and wires the trigger on one side to the action on the other — no pre-built connector required. Here is the vocabulary it has to work with.
Metaview Explore Metaview →
TriggersFires when a new meeting is recorded in Metaview.
Fires when an AI-generated summary is ready in Metaview.
Fires when a meeting transcript is ready in Metaview.
Fires when a new action item is captured from a meeting in Metaview.
Uploads an audio or video file to Metaview for transcription.
Tracker Explore Tracker →
TriggersFires when a new candidate applies to a job in Tracker.
Fires when a candidate moves to a new pipeline stage in Tracker.
Fires when an interview is scheduled in Tracker.
Fires when an offer is extended to a candidate in Tracker.
Creates a new candidate record in Tracker.
Moves a candidate to a new pipeline stage in Tracker.
Schedules an interview for a candidate in Tracker.
Sends an offer letter to a candidate via Tracker.
More Metaview + Tracker workflows
Upload recorded interview sessions for transcription
When an interview is scheduled in Tracker, automatically upload the call recording to Metaview to generate transcripts and summaries.
See details
Schedule follow-up interviews based on call action items
When a follow-up action item is captured during a screening call in Metaview, schedule the next interview round in Tracker.
See details
See all Metaview + Tracker integrations → · Browse the full workflow library →
Common questions
Can Knit build “Update candidate stage after AI interview summary creation” between Metaview and Tracker?
Yes — describe it in the box above and Knit's Integrations Agent researches Metaview and Tracker's public API docs (or your own uploaded docs) and builds a working workflow, whether or not either app already has a pre-built connector.
How long does it take to build?
Minutes to a first working version, not weeks — you test it against real data before it goes anywhere near production.
How does connecting Metaview to Tracker help recruiting teams?
It automatically transcribes and summarizes interview recordings from Metaview and connects those notes directly to candidate applications in Tracker, reducing administrative work.
Can call summaries automatically advance candidates through the hiring pipeline?
Yes, once Metaview produces an AI summary or action item from an interview, you can automatically advance the candidate's stage in Tracker.