arrow_back Next Test Series overview replay

Multi-attempt policies

Decide how many times learners may attempt a test—and which score counts—so retake policy matches your pedagogy.

  • check_circle Per-test attempt limits
  • check_circle Best, latest, or average score
  • check_circle Attempt history for learners
  • check_circle Full visibility for coordinators
Multi-attempt policy settings

Retakes on your terms

Support practice culture without losing fairness or clarity about which score matters.

pin

Attempt limits

Cap attempts per test when you need exam-day seriousness. Or allow more tries for formative practice papers.

rule

Score selection rules

Count best, latest, or average score depending on policy. Learners always know which attempt affects their standing.

history

Attempt history

Let learners review past attempts and progress over time. Retakes become improvement loops, not blind repetition.

visibility

Coordinator oversight

See every attempt for support and integrity. Ops teams resolve disputes with clear records instead of guesswork.

Balance practice and stakes

Different papers need different policies—configure each test without changing your whole series.

tune

Per-test flexibility

Apply strict rules to flagship mocks and looser ones to drills. One platform supports both high-stakes and practice modes.

balance

Fairness learners accept

Transparent policies reduce “why is my rank different?” questions. Trust goes up when rules are visible and consistent.

autorenew

Better learning loops

Encourage improvement between attempts when pedagogy allows. Institutes get higher engagement without diluting exam seriousness.

See Multi-attempt in a live demo

We will walk through this capability for your institution—coaching, school, or university.

Request a demo