Compare Finalists and Make Decisions

Compares candidates' resume scores, interview scores, and background side-by-side so you can see key differentiators (which candidates excel in different areas) and make data-driven hiring decisions. It surfaces score gaps greater than 2 points and applies a consistent decision framework instead of relying on first impressions.

Prepare all candidates through resume and interview evaluation. Run the candidate-comparer agent with the list of finalists (or candidate folder names). The comparer reads all evaluation files (resume scores, interview scores, HR summaries), creates a side-by-side comparison table with resume score, interview average, role fit, tech stack overlap, and key strengths/concerns from each phase. It highlights category-by-category score gaps, identifies key differentiators, and applies the decision framework to recommend top candidates with confidence levels. Output: a comparison markdown file saved to decisions/ folder with final rankings and hiring recommendations.

Comparison requires at least resume scores for all candidates. Interview scores are optional but strengthen the analysis. The comparer reads from evaluation folder names and candidate-*.md files, so do not rename candidate evaluation folders after they are created.