Select four to six competency dimensions that directly map to the job's key responsibilities and success criteria. Avoid generic dimensions that do not differentiate candidates for this specific role.

Design a 1-5 scale where each number has a behavioral description. For example, 1 means 'No evidence of competency' and 5 means 'Exceptional demonstration with concrete impact examples.'

Require interviewers to provide at least one specific observation per dimension. Ratings without supporting evidence are difficult to defend and contribute little to calibration discussions.

Include a field for the interviewer's overall hire, no-hire, or conditional recommendation along with a free-text area for context that does not fit neatly into competency dimensions.

Use a consistent scorecard template across phone screens, technical rounds, and final interviews. Standardization enables cross-stage comparison and trend analysis.

Conduct a calibration session where interviewers practice scoring mock candidate responses together. Discuss discrepancies until the group reaches shared understanding of each rating level.

Show examples of strong evidence notes ('Candidate described reducing churn by 15% through a specific retention campaign') versus weak notes ('Seemed experienced') to set clear expectations.

Educate interviewers on halo effect, recency bias, central tendency, and contrast effect. Awareness of these biases helps interviewers self-correct during the scoring process.

Set a firm deadline, ideally within two hours of the interview, for scorecard submission. Late submissions degrade accuracy and delay the overall hiring decision.

Rate every competency dimension on its own merits rather than letting a strong performance in one area inflate scores elsewhere. Each dimension should reflect distinct observed behavior.

Capture direct quotes, project names, metrics, and outcomes the candidate mentioned. Specific evidence makes your evaluation more credible and useful in the debrief.

If something concerns you, document exactly what the candidate said or did and why it raised a flag. Context helps other evaluators distinguish genuine concerns from misunderstandings.

State your recommendation unambiguously as strong hire, hire, no hire, or strong no hire. Include a one-to-two sentence rationale summarizing the key evidence behind your decision.

Complete and submit your assessment independently to prevent groupthink. Only after submission should you access other interviewers' feedback in preparation for the debrief.

Aggregate individual scores into a single dashboard or spreadsheet showing each dimension's ratings across all interviewers. Visual summaries make it easier to identify consensus and outliers.

Flag any competency area where interviewer scores differ by more than two points. These discrepancies indicate either inconsistent evaluation standards or genuinely ambiguous candidate performance.

In the debrief, ask interviewers with outlier scores to share their evidence first. Often the discrepancy resolves when all interviewers hear the same behavioral observations.

After the debrief, document the agreed-upon final scores and overall recommendation. This calibrated scorecard becomes the official evaluation record for the candidate.

Monitor which interviewers consistently submit on time and which do not. Address chronic late submissions through coaching or by reducing those individuals' interview load.

Periodically review whether certain interviewers tend to score consistently high or low. Recalibrate through training sessions if significant scoring drift is detected.

After six to twelve months, compare scorecard ratings with actual on-the-job performance reviews. This predictive validity analysis identifies which dimensions and questions best predict success.

Revise or replace evaluation dimensions that show low predictive validity. Continuously improving the scorecard ensures the interview process becomes more accurate over time.