Interviewer Report

Interviewer Report

The Interviewer Report module provides a comprehensive analysis of interviewer performance and evaluation patterns. It helps administrators assess interviewer efficiency, consistency, and quality through AI-driven insights and performance metrics.

This module enables organizations to maintain high interview standards by identifying strengths, gaps, and areas of improvement for each interviewer.


Interviewer Summary List


The main dashboard displays a list of interviewers along with key details such as:

  • Interviewer Name
  • Associated Template(s)
  • Total Number of Interviews Conducted
  • No Show Count
  • Pending Feedback Count
  • Average Interviewer Score
  • On-Time Start Percentage

This overview helps in quickly evaluating interviewer activity and performance.


Detailed Interviewer Report


To view in-depth insights:

  • Click on the interviewer’s name

The detailed report includes the following metrics:


1. Total Interviews


Displays the total number of interviews conducted by the interviewer.


2. On-Time Start


Indicates interviewer punctuality by showing the percentage of interviews that started on time.


3. Follow-up Quality


AI evaluates how effectively the interviewer asks follow-up questions during the interview and provides a percentage score.


4. Interviewer Average Score


Represents the overall performance score of the interviewer based on AI analysis and evaluation patterns.

Shows the number of candidates recommended by the interviewer, helping assess decision-making trends.


6. Feedback Latency


Measures how promptly the interviewer provides feedback after completing interviews. The AI generates a percentage reflecting timeliness and responsiveness.


Interview Distribution Across Roles


Provides a graphical representation of the number of interviews conducted by the interviewer across different job roles.


Behavioral Skill Coverage


Evaluates how well the interviewer covers behavioral competencies during interviews. This helps ensure consistency in assessing candidate soft skills.


Interaction Patterns


Analyzes interviewer behavior across different candidate types. For example:

  • Reserved Candidates: The system evaluates whether the interviewer effectively probes deeper using follow-up questions

This insight helps in understanding adaptability and interviewing style.

Interview Quality Assessment


AI evaluates the overall quality of interviews conducted by the interviewer, ensuring adherence to best practices.


Strengths & Opportunities


Highlights:

  • Key strengths of the interviewer
  • Areas for improvement

This enables targeted training and performance enhancement.


Interview History


The Interview History section provides a complete list of candidates interviewed by the interviewer, allowing administrators to:

  • Review past interviews
  • Track interviewer activity over time
  • Analyze consistency in evaluation

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