An audit of explanatory examples should end with a short list of defensible changes. A vague quality score is less useful than a clearly observed defect, the reason it matters, and a check that shows whether the repair worked.
Start with the intended outcome
Examples make advice usable when they reveal how a decision changes under specific conditions.
Evaluate whether readers can apply the principle to a new but related situation.
Select a manageable sample that includes ordinary work as well as a known difficult case. Keep the current version and its relevant context. Do not assume that one unusually good or bad item represents the entire process.
Inspect five specific failure modes
1. AI examples are presented as real customer stories
Possible cause: Hypothetical details are not labeled.
Repair: Identify invented scenarios as illustrations and keep actual evidence separate.
Acceptance check: A reader should never mistake a teaching example for a documented result.
2. Examples are too vague to teach anything
Possible cause: The draft names a business without showing a decision.
Repair: Add the constraint, alternatives, and reason for the chosen action.
Acceptance check: Ask what the reader learns from the example that the general advice omitted.
3. An example works only under hidden assumptions
Possible cause: Important conditions are left unstated.
Repair: Specify the relevant audience, resources, and limits.
Acceptance check: Explain when a different choice would be reasonable.
4. Every example uses a huge company unlike the reader
Possible cause: The prompt defaults to familiar brands.
Repair: Use situations matching the reader's scale and available resources.
Acceptance check: Check that the proposed action is feasible for the intended audience.
5. Examples overwhelm the main explanation
Possible cause: Too many scenarios repeat the same lesson.
Repair: Keep examples that demonstrate different conditions or trade-offs.
Acceptance check: Remove any example that adds no new decision insight.
Prioritize the findings
Separate confirmed defects from suspicions. Fix issues that make the work inaccurate, unusable, or misleading before cosmetic preferences. For each selected change, record the affected item, the supporting evidence, the owner, and the acceptance check. Leave unverified ideas in a separate investigation list.
Interpret improvement carefully
Read the material from the intended reader’s starting point. Familiarity can hide missing definitions, unexplained assumptions, and jumps in reasoning. A useful edit should make the task easier to understand while preserving the details that make the explanation trustworthy.
Repeat the relevant checks after the change. A completed edit proves that the work was changed; it does not by itself prove a broader business effect. Keep the technical or editorial repair distinct from later performance observations, and document other changes that could influence the comparison.