Define competencies early
Align the interview panel on criteria and weights before reviewing résumés. Focus on specific day-to-day skills, communication, and ownership.
Structured candidate evaluation
Rate candidates fairly with a live interview scorecard desk
Assess job applicants on weighted competencies, aggregate ratings across multiple interviewers, highlight critical must-have fails, and export a clean hiring recommendation summary. Runs client-side only.
- Weighted competencies (0–100 overall score)
- Multi-interviewer scoring grid
- Automatic must-have red flag verification
- CSV, clipboard copy, and print export
Scorecard workbench Draft ready
1. Requisition & details
Define the hiring context, location, and manager to keep evaluations organized.
2. Evaluation criteria & weights
Define competencies to score. Weights must sum to 100%. Check "Must-Have" if a candidate fails if they score ≤2 on it.
3. Candidates
Add the candidates you are evaluating (min 1, max 8).
4. Interviewers
Add the team members conducting interviews (min 1, max 5).
5. Score matrix (1–5)
Select an interviewer from the dropdown to edit their scores. 1 = weak fit, 3 = acceptable, 5 = excellent. Leave blank if unscored.
6. Hiring decision
Select the finalist and document the concluding panel notes here.
How the weighted score works
A structured scorecard removes gut-feeling bias and aligns hiring panels on exact requirements. The evaluation workflow is driven by clear math:
- Weighted score: Each criterion has a weight (must sum to 100% total). Candidate scores range from 1 to 5. The interviewer score is calculated as
weighted score = Σ ((criterion rating ÷ 5) × weight). When all criteria are scored, the candidate score lands between 0 and 100. - Blanks and partials: If an interviewer leaves some criteria unscored, the tool calculates the candidate score using the weights of scored criteria only, without re-normalizing. The candidate is flagged as having incomplete scores, lowering the overall audit completeness.
- Consensus ranking: The overall candidate score is the average of weighted scores from all complete interviewer scorecards. If no interviewer scorecard is complete for a candidate, the tool averages partial scores but marks the applicant as incomplete.
How to run a structured interview scorecard
Rate independently
Have each interviewer score the candidate in their own sheet immediately after the interview, without discussing ratings first, to prevent herd bias.
Debrief with data
Review the ranked standouts and focus the consensus meeting on outliers, must-have failures, and qualitative interviewer notes.
Must-have criteria and bias reduction
Using structured interview scorecards is one of the most effective ways to reduce hiring bias. By committing to evaluation criteria and scoring rules upfront, you focus evaluations on role capability rather than subjective chemistry.
Must-Have rules: Marking a competency as "must-have" sets an absolute floor. A score of 1 or 2 from any interviewer on these competencies indicates a critical skill deficit. The builder automatically flags a must-have fail and caps the candidate recommendation at "No Hire," ensuring the team doesn't overlook crucial role requirements due to high scores in other areas.
Example: Office Coordinator sample walkthrough
Click the Load sample data button above to load a realistic example. It sets up an Office Coordinator role with three candidates scored by a hiring manager and peer panelist across six criteria. Avery Chen is marked as a Strong Hire with an 86.0 average, Morgan Blake stands as a Hire at 72.0, and Sam Rivera is ranked as No Hire due to scoring 2 on a must-have competency, despite showing strong communication skills.
FAQ
What is a must-have competency?
A must-have competency represents a non-negotiable requirement for the role. If a candidate scores 2 or lower (out of 5) on a must-have competency from any interviewer, the tool flags a must-have fail and recommends "No hire," ensuring critical requirements are not ignored.
How do multiple interviewers affect candidate scores?
The builder tracks separate scoring tables for each interviewer. The final standing of a candidate is the mathematical average of all completed interviewer scorecards. If no scorecard is 100% complete, the tool averages partial scores and warns of incomplete ratings.
Can I customize the competencies and weights?
Yes. You can add, remove, and rename competencies (from 3 up to 12). Each competency can have its own weight. The tool automatically validates that the weights sum to 100% (within a tolerance of ±0.5%).
Is my candidate evaluation data secure?
Yes. This builder is 100% client-side. No evaluation data, candidate names, or requisition details are transmitted to any server. Your draft is saved in your browser's localStorage and can be wiped clean instantly by clicking Reset.
Does this replace an Applicant Tracking System (ATS)?
No. This is an operational scorecard workbench designed to help small businesses structure their interview assessments. It does not handle applicant tracking, job postings, or pipeline management.
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Disclaimer
This scorecard builder is a tool-based operational planner for business evaluation purposes. It does not constitute legal or HR counsel. Do not collect or record protected-class data under federal or state labor laws (such as age, gender, race, religion, or disability) as scored competencies or checklist notes.