Know what are Test insights and how they help in calibrating the tests
Test insights are an effective way of understanding how the test performs, whether it needs improvement, the candidates' experience, or working well. Test insights will give you a 360 - degree view of your tests, which will eventually help you create the ideal tests.
To access Test Insights
- Click My Tests and select the test
- Click Insights
There are 6 test insights
A) Candidate Pipeline
B) Test Status
C) Candidate Performance
D) Score Distribution
E) Section Analysis
F) Candidate Feedback
A) Candidate Pipeline
This graph shows the no. of invites - mode of invitation (email, open URL, API), no. of candidates appeared, and the no. of candidates who completed the tests.
The pipeline can track the candidate’s stage of progress and helps in identifying obstacles, if any. Check out these points, which might be the reason why you’re losing candidates.
- The verbiage used in the invitation may not intrigue the candidates enough to appear for the assessments.
- Candidates lose interest if the tests are too lengthy.
- Adding a skill in an assessment irrelevant to the job description may create a negative feeling and easily demoralize the candidate.
B) Test Status
This graph will reflect the various test stages and the percentage of candidates in each stage. This helps in plugging any gaps in the assessments, which may be due to the following reasons:
- The Test is Terminated if malicious activities are observed. (Window violation or Image violation)
- The Test is Suspended if the Test could not be started due to a Technical Error.
- Test Left status is seen when the candidate has voluntarily left the Test.
The Recruiter can always give the candidates a second chance by allowing Test Re-attempt if the above reasons seem misjudged.
C) Candidate Performance
This will give an overview of how the candidates have performed in the test. (Note: The grading categories set by the test admin will be reflected here.
D) Score Distribution
This graph helps to fish out a set of candidates scoring close to the average marks from a pool of appeared candidates. By calculating the Mean and Standard Deviation on the candidates' data using a formula, we can indicate how many candidates have scored nearer to the average score (aka the formation of a bell in the graph).
Let’s take an example to understand the graph below.
Candidates appearing for a test: 55
Candidates scoring in the range (0-10%): 8
Candidates scoring in the range (11-20%): 4
Candidates scoring in the range (21-30%): 5
Candidates scoring in the range (31-40%): 21
Candidates scoring in the range (41-50%): 13
Candidates scoring in the range (51-60%): 4
The accumulation of candidates is formed in the range of 31-40% as the Test average is 36%, the curve is formed in the center.
That means: This test is working nicely for you! 21 candidates have scored close to the Test average of 36%.
If the bell is skewed towards the right side of the graph, the test seems more than healthy as the candidates score too well.
If the bell is skewed towards the left side of the graph, it seems like an alarming situation as the candidates do not score that well.
E) Section Analysis
Know which section works best to extract the potential candidates. The sectional analysis helps you figure out the sectional average for the Test average.
- The section where the average percentage of candidates is below the Test average must be looked into as it may be a difficult section or the time may be insufficient.
- The section where the average is high than the Test average must be working well or sometimes too well, and you might need to look into the composition of the section to check if it’s easy.
- Suppose all the above points seem okay, then great! You got yourself an awesome Test!
F) Candidate Feedback
Know your candidate's real-time experience through these 3 emoticons and work on the test composition to increase the count of the green smileys
For any queries, mail us at support@imocha.io.