Goal:
This workflow converts interview recordings into structured candidate evaluations with assessments and recommendations. It standardizes the interview evaluation process and distributes results to both Coda and Slack for hiring team collaboration.
The workflow ensures consistent evaluation criteria across all interviews, making candidate comparison more objective.
Prerequisites:
N8N Instance: Running N8N automation platform (cloud or self-hosted) VideoDB API Key: Obtain from VideoDB Console VideoDB N8N Node: Install the custom node in your N8N instance Meeting Platform: Platform with bot recording capability for interviews Coda Workspace: For candidate tracking and evaluation storage Slack Workspace: For hiring team notifications Main Workflow Steps:
Step 1: Interview Recording
Form trigger collects meeting URL for the interview session VideoDB joins the interview and records the session Wait for interview completion before processing Step 2: Video Processing
Index spoken words from the interview recording Generate transcript with speaker identification (interviewer vs candidate) Prepare audio content for AI analysis Step 3: AI Evaluation
Extract structured candidate information: Candidate name and background details Role they're applying for Personality and communication assessment Generate hiring recommendation (Strongly Recommended/Recommended/Consider with Reservations/Not Recommended) Evaluate key strengths, areas for development, and cultural fit (High/Medium/Low) Step 4: Results Distribution
Add candidate evaluation to Coda hiring database with structured fields Send formatted evaluation summary to Slack hiring team channels Ensure consistent format for easy candidate comparison
Conclusion:
This workflow provides hiring teams with standardized candidate evaluations distributed across both documentation (Coda) and communication (Slack) platforms for comprehensive hiring decision support.
Automate Interview Evaluations with AI