Test Analytics

The Analytics section of the test editor provides performance data collected across all test sessions linked to this test. Analytics are available after enough sessions have been completed to produce meaningful data.

Test Analytics

The Test Analytics tab shows aggregate performance across all test-takers:

• Overall score distribution — how scores are spread across test-takers
• Average score — the mean score across all completed sessions
• Dimension breakdown — if scoring dimensions are configured, performance is broken down by dimension so you can see which competency areas are stronger or weaker across your candidate pool
• Task bank reference — links to the tasks that sourced the sessions included in this analytics view

Question Analytics

The Question Analytics tab shows performance data at the individual question level:

• Difficulty index — the proportion of test-takers who answered correctly. A high difficulty index means most people got it right; a low value means few did.
• Discrimination index — how well the question differentiates between high-performing and low-performing test-takers. A high discrimination index means the question effectively separates the two groups.
• Questions with low discrimination or extreme difficulty values are candidates for revision or removal from the bank.

Question analytics are most reliable when you have a large number of completed sessions. For small candidate pools, treat the metrics as directional rather than statistically definitive.

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