Skip to main content

Performance Results Scale

The Performance Results Scale defines how learning outcomes are evaluated and reported across the institution. This shared scale ensures consistent interpretation of results while still allowing flexibility at the course and assignment level to support meaningful, faculty-aligned assessment.

Define the Institutional Performance Results Scale

  • Institutions may configure 2–5 scale units 

  • Scale titles are customizable at the institutional level

  • Scale units may be configured to support Pass/Fail use cases

  • A single Performance Results Scale is used across the institution

    • Note: This applies to scale structure and labels only; thresholds are configurable at lower levels 

Configure Scale Governance

  • The Performance Results Scale is set by Annual Term 

  • Once assessment data is entered, the scale for that annual term is locked to protect reporting integrity

  • Scale item titles can be updated at any time without impacting historical data

Set and Adjust Performance Thresholds

  • Default performance thresholds can be defined for each scale unit

  • Thresholds are adjustable at the assignment level, allowing robust and flexible outcome measurement

  • This supports varied assessment strategies while maintaining institutional consistency

Align Language with Faculty Culture

  • Use clear, faculty-friendly language (e.g., Exceeds / Meets / Approaching / Not Met)

  • Promote consistent scale usage across programs to support reliable, aggregated reporting

Things to Consider

  • A shared Performance Results Scale allows outcome data to be aggregated and compared across courses, programs, and academic terms—supporting trend analysis and longitudinal reporting.

  • The Performance Results Scale is visible across the institution:

    • At the course level, for each outcome measured

    • At the student level, showing individual mastery of outcomes

    • At the program, subject, and institutional levels, aggregating results across terms

  • By combining a single institutional scale with adjustable thresholds at the assignment level, institutions can ensure data consistency while still respecting disciplinary differences and instructional design needs.

  • Engage faculty, assessment leaders, and academic governance early when defining scale language and defaults. Aligning on shared terminology upfront builds trust in the data, improves adoption, and strengthens the value of outcomes reporting across the institution.

Resources