Analytics

The Analytics tab aggregates every session in the task into cohort-level insight. Where Test Sessions answers questions about individuals, Analytics answers questions about the whole exam: how did the population perform, where did candidates drop out, and how do groups compare.

What You Get

• Score distributions — the spread of results across the cohort: averages, ranges, and the shape of the curve, overall and per step.
• Participation funnels — registered → invited → started → completed, revealing where candidates fall out of the process. A big gap between invited and started points at invitation or scheduling problems, not test problems.
• Comparison groups — compare performance across the candidate groups you defined (locations, cohorts, hiring waves), turning organization work done under Candidates into segmented results.

Task Analytics vs Test Analytics

This tab is about this task's population. The quality of the test itself as a measuring instrument — item difficulty, discrimination, reliability — lives in the test editor's Test Analytics, aggregated across every task the test runs in. Use task analytics to judge the cohort and the process; use test analytics to improve the questions.