Test Analytics

Test Analytics reports how a test performs across every completed session it's had — useful for spotting a test that's scoring unexpectedly high or low, or for checking whether your pass mark and reporting levels are actually splitting candidates the way you intended.

Where to find it

Open Analytics → Test Analytics for the full list of every test in your organization. Or, from inside a specific test, open its Analytics tab in the Test Editor to see that one test's numbers in more depth — the test is fixed, so you skip straight to the detail.

Filters

Narrow the standalone list by task and date range, and choose how many rows to show per page. In the embedded, single-test view the test is already fixed by context, so only the task and date filters apply.

The standalone list

Each row is one test: number of submissions, average score, minimum score, maximum score, and standard deviation. A header strip above the table totals these across every test currently matching your filters. Expand a row to see the same breakdown per section and per reporting dimension, if the test uses them. You can export the list to CSV, including the organization and test IDs, the score stats, submission count, and the date range used.

The single-test detail

Opening Analytics from inside a test (rather than the standalone list) gives you a deeper view built around that test's own pass/fail and reporting-level configuration:

• Submission count, average score, and standard deviation — the same headline numbers as the list view, scoped to this test.
• Pass / fail split — a donut chart showing what share of candidates cleared the test's configured pass mark.
• Score-frequency histogram — how many candidates landed in each score bracket, using the thresholds you can configure in Test Settings.
• Reporting levels table — how candidates distributed across the test's configured performance levels (for example Beginner / Intermediate / Advanced), if levels are set up.
• Section and dimension tables — the same score breakdown as the standalone list's expandable rows, always visible here.

If a test's pass/fail split or histogram looks skewed, check its Reporting configuration (pass mark and performance-level thresholds) before assuming candidates are underperforming — a misconfigured threshold is a much more common cause.

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