Tests

Test Papers

Generate concrete test papers (variants) from your test to see exactly what candidates will receive — and use the diagnostics panel to verify structure, randomization, and maximum scores before going live.

Updated 2026/07/13

A test paper is one concrete variant of your test — the exact set of questions a candidate could receive once randomization, question pools, and page builders have done their work. Generating papers lets you inspect real variants before any candidate sees one; the diagnostics panel verifies the numbers behind them.

Why Variants Need Checking

A fixed test is what you see in the editor. But as soon as you use shuffling, random selectors, or dynamic page builders, every candidate can get a different paper — and problems hide in the variance: one variant draws three hard questions where another draws none, or a pool is smaller than the number of questions requested. Papers make the variance visible.

Generating Test Papers

  1. Open Test Papers in the test editor and generate one or more papers.
  2. Each paper is a full, concrete variant — sections, pages, and the actual questions drawn for that variant.
  3. Review several papers when randomization is heavy: comparing variants side by side is how you spot difficulty imbalance between them.

Diagnostics Panel

The diagnostics panel summarizes the test's structure and scoring so you can validate the arithmetic at a glance:

  • Section, page, and question counts — confirm builders and pools produce the sizes you intended.
  • Maximum achievable scores — overall and per section, after multipliers. If the max score isn't what you expected, a multiplier or section weight is off.
  • Structural warnings — configurations that can't be satisfied (e.g. a selector asking for more questions than its pool contains).
Pre-launch checklist: generate a few papers, skim them as a candidate would, then open diagnostics and confirm question counts and the maximum score. Two minutes here catches nearly every randomization and scoring surprise before it reaches a candidate.
Recommended practice