n8n Workflow: Rank Engineering Candidates by Role Fit (Judgment Weighted Scoring)

Rank engineering candidates by role fit using Judgment-powered weighted scoring

This n8n workflow automatically scores and ranks candidate profiles for multiple engineering role types—producing comparable fit scores for Senior IC, Engineering Manager, and an equal-weight baseline—using the n8n-nodes-judgment community node.

What this workflow does

• Runs manually when you click Test Workflow.
• Creates three sample candidate profile items and merges them into a single stream for batch scoring.
• Uses Judgment to rate each candidate on four dimensions: depth, leadership, design, and generalist breadth, applying a shared five-level rubric.
• Computes a composite weighted score for a Senior IC role, based on tuned weight sets for those dimensions.
• Repeats the scoring for the same candidates with Engineering Manager weights tuned to that role.
• Scores a third time using JSON-defined dimensions and equal weights as a baseline for comparison.
• Outputs one report row per candidate per role profile, including the composite score, fit percentage, and a per-dimension breakdown.

Use cases

• Compare candidates against role-specific hiring rubrics for Senior IC vs Engineering Manager.
• Standardize engineering interview scoring with consistent dimension ratings and a shared rubric.
• Generate decision-ready rank lists from structured candidate data (e.g., profiles stored as items with a profile field).

Technical details

• Nodes used: manual trigger, set, merge, sticky note, and n8n-nodes-judgment (Judgment).
• Setup: Install n8n-nodes-judgment via Settings → Community Nodes on a self-hosted n8n instance.
• Create a Judgment API credential for the three scoring steps (including an optional custom base URL if required).
• Replace sample items with your own source data—each item should include a profile field (and optionally a candidate name), and update the dimension prompts, rubric scale, and weight sets to match your hiring rubric.