Test report Overview

How does each section contribute to candidate evaluation?

Ezyhire | HR Operating System - https://app.ezyhire.com/test-report/id

1. Candidate Details

The Candidate Details section of the test report provides a snapshot of the candidate’s information, skills tested, and submission details. It also features a QR code for easy access to the same details via scanning.

2. Additional Details

The additional details section captures environmental and location data related to the test submission, such as the browser used, geographical coordinates, place name, and IP address. This helps in auditing and verifying the submission context.

3. Score Evaluation

This section displays the scores achieved by the candidate in the different categories tested and, if applicable, the HR evaluation and social media evaluation(cross verifies the skills listed in LinkedIn profile with the skills being tested). Each score is accompanied by a percentage for easy interpretation.

4. Video Proctoring Details

This section provides in-depth insights derived from the video proctoring system during the candidate’s test. It evaluates various behavioral indicators, facial expressions, and engagement levels to ensure that the test was taken fairly and without any irregularities. The following metrics are analyzed:

Emotion Index Analysis

The emotion index measures the candidate’s emotional state during the test by analyzing facial expressions captured in the video. The system categorizes emotions into several key categories:

• Happy: Indicates positive emotional engagement with the test.
• Sad: Reflects a lower emotional state, possibly indicating stress or confusion.
• Angry: Shows signs of frustration or agitation during the test.
• Surprised: Captures moments of surprise or unexpected reactions.
• Disgusted: Identifies negative emotions such as displeasure or discomfort.
• Neutral: A neutral state where no distinct emotional cues were observed.
• Familiar: The candidate may exhibit a familiar or comfortable emotional reaction, indicating familiarity with the content or environment.

Video Analysis Metrics

This section provides insights into the candidate’s behavior based on video analysis:

• Eye Focus: Measures how focused the candidate is on the screen or the test material. If the candidate frequently looks away from the screen, the system tracks these instances and reduces the eye focus level score accordingly. The more the candidate’s eyes are off the screen, the lower the score will be, indicating potential distractions or lack of attention. This metric helps assess if the candidate is fully engaged with the test.
• Face Detection: Confirms that the candidate’s face was properly detected throughout the test, ensuring they remained in front of the camera.
• Confidence Level: Reflects the system’s confidence in detecting and analyzing facial expressions and behaviors based on the video feed. A higher confidence level indicates more reliable analysis.

Other Behavioral Data

Additional behavioral metrics are collected from the video feed to evaluate the candidate’s engagement and adherence to test guidelines:

• Time Spent: The total amount of time the candidate spent actively engaging with the test.
• Voice Detection: Monitors if any voice activity is detected during the test. The system not only detects the presence of voice but also correlates it with the emotion index and face movement. If a candidate’s emotion index shows signs of stress (e.g., anger or frustration) or if there is excessive face movement (e.g., signs of agitation or distractions), the system takes these into account when calculating the voice detection score.
• Face Movement: Tracks the amount of face movement, which can indicate distractions, leaving the camera view, or other irregularities.This will also descrease the eye focus level.

Overall Proctoring Score

The overall proctoring score is a composite percentage that takes into account all of the above metrics. This score provides an assessment of how well the candidate adhered to the test guidelines based on their emotional and behavioral responses during the session. A higher percentage indicates more consistent behavior with test protocols, while a lower score may highlight potential issues such as distractions, cheating, or emotional instability during the test.

5. Recommendation

The final recommendation is based on a combination of the candidate’s test scores and proctoring details. The evaluation is presented on the following scale:

• Very Poor: The candidate performed poorly in the test and exhibited significant non-compliance during proctoring.
• Poor: The candidate’s performance was below expectations, with multiple distractions or irregularities observed during proctoring.
• Average: The candidate demonstrated moderate test performance and reasonable compliance during proctoring, with occasional lapses.
• Good: The candidate showed strong test performance and adhered to proctoring protocols with minimal issues.
• Excellent: The candidate excelled in the test and displayed exemplary behavior, fully complying with proctoring protocols.

6.Brief Summary of the Candidate’s Performance

This section provides a concise evaluation of the candidate’s performance across different test categories. Each test category is summarized to give a clear understanding of the candidate’s skills and knowledge. The HR summary provides an evaluation of the candidate’s communication, adaptability, and alignment with organizational values based on the HR evaluation.

7. Timeline of Major Events

The timeline provides a chronological overview of key actions taken during the test, such as when the test started, significant interactions, and when the test was completed. This section helps track the candidate’s engagement and ensures all major milestones are recorded during the testing process.

8. Question/Answers

This section displays each question along with the candidate’s response and the score they received. It provides an overview of their performance across all questions.It also displays the skill tested againt,type of question,difficulty level for each questions.

MCQ type question- This section showcases an example of how MCQ-type questions are evaluated, highlighting both the correct and the student’s selected answer along with the score.

Coding type question- This section showcases an example of how Coding-type questions are evaluated, highlighting both the correct code and the student’s submitted code ,the score, and AI-generated feedback in an organized manner.

Promt type question- This section showcases an example of how Prompt-type questions are evaluated, highlighting the student’s submitted answer ,the score, and AI-generated feedback in an organized manner.