What is Test Analytics?

Invitation Pipeline

The invitation pipeline provides a snapshot of the email invitation metrics. You can view the number of invitations sent, delivered, opened, clicked, tests that appeared and completed.

How does it help?

Viewing the invitation funnel helps to identify any issues and plug the gaps. For. e.g., If 100 candidates open the email and only 30 out of them click on the test link, it may mean that your email content has scope for improvement. It can be more intriguing and interesting. (You can also read our article about using our intuitive email templates here.)

Note: This will only track email invites. If the email is opened and the test link is copied into the browser, it will not be tracked in the Test Links Clicked. In this case, Test Appeared numbers could be higher than the Test Links Clicked.

Invitation Delivery Rate

The invitation delivery rate highlights the number of invitations sent and their delivery status.

How does it help?

If you are constantly worried about whether your invites are getting lost in the milieu, this metric can throw light on it. A huge disparity between the sent and delivered ratio means that majority of your candidates are not getting your emails. Your IT team and service provider can help resolve this issue.

Invitation Open Rate

This highlights the percentage of emails opened against the total number of emails sent.

How does it help?

One area recruiters and hiring managers get worried about is the invite opening rate. Unopened emails indicate that you have that much lesser talent pool to consider. You can try changing the email content or subject line, enticing candidates to open and attempt the test. You can also see which days or months have the highest open rates.

Invitation Click Rate

This shows the ratio of how many test links were clicked when the emails were opened. 

How does it help?

You can identify why the candidates not taking the test after opening the emails. There could be factors such as the test is too lengthy, has too many sections, or very little time. 

Invitation Appeared Rate

This displays the percentage of candidates who started the test after receiving the test link.

How does it help?

You can keep track of the percentage of candidates that appear and complete the test. If a large percentage of candidates do not complete the test, you can make changes to the test.

Candidate Pipeline

It's a funnel vision of your test invites - invitation mode, test attempts, and test completion.

How does it help?

The test invite date is accessible in one glance. You know which channels of test invite (email, open URL, API) work for you. The percentage of candidates that attempt the test and further complete the test.

Test Status

This will reflect the various test stages and the percentage of candidates in each stage.

How does it help?

You can plug any gaps in the assessments, which may be due to the following reasons:

1. The Test is Terminated if suspicious activities are observed. (Window violation or Image violation)
2. The Test is Suspended if the Test could not be started due to a Technical Error.
3. 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.

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.

How does it help?

This will help in measuring the effectiveness of your candidate pool. If the majority of the candidates cannot clear the test or are graded in the beginner or intermediate category, they are probably finding the test difficult. You can tweak the test accordingly.

Section Analysis

Know which section is doing well and which section can be improved. The average section scores and test scores also indicate the quality of candidates.

How does it help?

• The section where the average percentage of candidates is below the Test average must be looked into as it may be difficult, or the time may be insufficient.
• The section where the average is higher than the Test average might 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!

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 (forming a bell in the graph).

How does it help?

You can adjust your test composition by looking at the data of the bell curve.

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.

Average Attempt Duration

This indicates the average time required by the candidates to complete the test.

• X-axis: Time in Minutes
• Y-axis: Number of Candidates

How does it help?

You can set the test composition based on this metric. For example, if most of the candidates are completing the test in less than half the time, maybe it indicates the test is easy and vice versa.

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.