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Published October 26, 2026

Introducing Standardization Policy Controls for AI Skills Checkoffs

2 min read

Standardization Policy Controls turn instructional design settings into consistent AI skills checkoff recommendations across faculty.

  1. Turn instructional standards into consistent recommendations
  2. Make essential steps non-negotiable
  3. Standardize grades while keeping each template specific
  4. Set standards for your next checkoff

Skills checkoffs are only as consistent as the standards behind them. When passing expectations are left open to interpretation, learners can receive different outcomes for similar performances, and faculty have less clarity about what a passing grade means.

Introducing Standardization Policy Controls for AI skills checkoffs. These template-level settings help programs turn instructional design into explicit grading policy. Educators define passing rules for each checkoff in its template. The AI evaluates performance against the rubric, then the application uses those settings to calculate the final score recommendation.

Turn instructional standards into consistent recommendations

A rubric describes what a learner needs to do. Standardization Policy Controls clarify how much adherence counts as satisfactory and which steps are essential to passing.

Educators can set a step passing standard as a percentage. The default is 51% or above, meaning a step must show more than half of its required adherence to be satisfactory. Teams can adjust the threshold to reflect the expectations for that skill.

For Pass/Fail checkoffs, templates also include an overall passing standard, defaulting to 80% or above. The final score recommendation is calculated from the points earned across the steps and the template's passing standard. Percentage-based checkoffs continue to use their automatically calculated score.

Because the application applies the configured rule consistently, faculty can use the same grading standard across submissions. The final recommendation reflects the instructional design decisions built into the template, rather than an educator having to reapply the overall threshold by hand.

Make essential steps non-negotiable

Some steps carry more weight for safe or complete performance. A strong overall score should not hide a missed critical step.

Educators can mark individual steps Must pass. When enabled, the learner must meet that step's passing standard to pass the overall checkoff, even if their combined score reaches the overall threshold. This lets program teams distinguish between steps that contribute to the total and steps that are required for competency.

Standardize grades while keeping each template specific

Programs need shared expectations, but every skill does not have the same requirements. Standardization Policy Controls let educators set standards for the specific checkoff while keeping grading rules clear and repeatable for everyone using that template.

This supports more consistent recommendations across faculty and checkoff runs, gives learners clearer expectations, and helps program leaders see how overall outcomes connect to the rubric and instructional design. The AI evaluates the demonstrated performance; the application applies the scoring policy the team configured.

Set standards for your next checkoff

Define the step passing standard, overall passing threshold, and required steps in the template your team uses. Learn more about AI video skills checkoffs.

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