How to Define an ANI — and Apply It Consistently Across C1.01 and C1.02

One of the most consequential — and most misunderstood — features of the ARC-PA Standards, Sixth Edition, is that ARC-PA does not define what an "area needing improvement" (ANI) is. Each PA program must define it, write that definition down, and apply it consistently across every C1.01 and C1.02 self-study question. This article shows how.

Written to the ARC-PA Standards, Sixth Edition (effective September 1, 2025). Last reviewed July 2026.

What is an area needing improvement (ANI)?

An area needing improvement (ANI) is a program-level finding, drawn from a program's own data analysis, that a dimension of the program is not meeting expectations and requires an action plan. It is the Sixth Edition's term for what the Fifth Edition also called an area needing improvement — the concept and the action-plan follow-through are the same. What changed is that the program now decides what qualifies.

Does ARC-PA define what counts as an ANI?

No. This surprises many program leaders: ARC-PA's materials do not provide a fixed definition of an ANI. That is deliberate — the Sixth Edition hands programs interpretive room, and with it the responsibility to defend their own analytical choices. The practical consequence is that your program must adopt a single, written definition of what triggers an ANI and apply it identically to every question, every reporting cycle. Without that internal consistency, the analysis becomes very hard to defend, and a reviewer reading the self-study report can see the inconsistency.

What is a workable ANI definition?

A defensible working definition, used in our consulting and webinars: three or more aligned data sets demonstrating performance below benchmark, or a sustained decline in program outcomes.

The word that matters most in that sentence is or. Under the Fifth Edition, the effective rule was rigid — no triangulation of three data sets, no ANI. The Sixth Edition opens that up. Two triggers now stand on their own:

• Triangulated below-benchmark data — three or more data sets pointing the same direction, below the program's benchmarks.
• A sustained decline — a downward trend in a critical outcome, which can warrant an ANI even without three data sets, and even when the metric is still above benchmark.

A precipitous drop — a critical data set that falls off a cliff — belongs in the second category. Do not automatically dismiss a sharp decline just because the number still sits above your benchmark, and do not automatically dismiss a below-benchmark reading that lacks two companions. Judgment, applied consistently, is the standard.

Does one data point below benchmark make an ANI?

No. A single below-benchmark data point among the three to five a program analyzes is a signal to pause and triangulate — not an automatic finding. You will see a smattering of isolated low readings across a full C1.01 and C1.02 analysis; most are not program-level problems. The task is to ask whether a given signal, in context, truly indicates that the admissions process, the curriculum, or the program is ineffective — or whether it is an operational, course-level issue that does not rise to a program-level ANI.

Can a program declare no ANIs at all?

Yes — and that is a defensible outcome when the data supports it. It is entirely legitimate to work through all five C1.01 questions and both C1.02 questions and declare none. The calibration cuts the other way too: declaring an ANI on most or all questions usually means the analysis was biased toward finding problems, not that it was more rigorous. As the principle goes, if everything is an ANI, you are probably not going in the right direction. What ARC-PA reviewers respond to is internal consistency in how the determinations were made — not the count of ANIs declared.

How do you apply the definition consistently?

Two moves separate programs that navigate this well:

• Define the ANI internally — written, documented, and uniform. Not a definition improvised per question, but one standard applied to every question and every cycle.
• Build the data infrastructure to apply that definition the same way each year, rather than reconstructing the logic from scratch each time. Consistency across reporting cycles is what makes the analysis defensible under scrutiny.

Then apply the definition to the analysis, rather than steering the analysis toward a predetermined need to find problems.

What has to accompany an ANI?

Every declared ANI carries an action plan, and the requirements mirror the Fifth Edition: state the specific outcome, how it will be measured, who is responsible, and how results will be applied. An ANI without a concrete, measurable, owned action plan is incomplete — and an ongoing action plan means the program keeps tracking the trend even after the finding is addressed.

Frequently asked questions

Does ARC-PA define what an area needing improvement (ANI) is?
No. ARC-PA's materials do not define an ANI. Each program must adopt its own written definition and apply it consistently across every C1.01 and C1.02 question and every reporting cycle. Without that internal consistency, the self-study analysis is difficult to defend.

What is a defensible working definition of an ANI?
A common working definition is three or more aligned data sets below benchmark, or a sustained decline in program outcomes. The "or" reflects the Sixth Edition's added flexibility: a precipitous drop or sustained downward trend in a critical outcome can warrant an ANI even without full three-data-set triangulation.

Does a single below-benchmark data point require declaring an ANI?
No. One below-benchmark reading among the several a program analyzes is a signal to pause and triangulate, not an automatic finding. The program must judge whether the signal truly indicates a program-level problem or an isolated, course-level issue.

Can a PA program declare no ANIs across its self-study?
Yes. If the data supports it, concluding "compliant" across all questions is legitimate and defensible. Reviewers evaluate the consistency of the analysis, not the number of ANIs declared — and declaring an ANI on every question often signals a biased analysis rather than a rigorous one.

What must accompany a declared ANI?
An action plan: the specific outcome, how it will be measured, who is responsible, and how the results will be applied — the same requirements as under the Fifth Edition, with ongoing tracking of the trend over time.

See the ANI framework worked question by question in our free replays — the five questions of C1.01 and the two questions of C1.02.