Choose the decision before the measure
A team comparing two ways to find a record may care about the ability to distinguish similar entries, rather than simply the number of clicks. The evaluation should reflect the task. State the decision, the intended users or operating conditions, and what evidence would help make the choice.
Use the same basis for each option
A comparison becomes difficult to interpret when the inputs, instructions, or software versions differ without explanation. Define a small scenario set that includes ordinary cases and relevant exceptions. Keep the criteria visible so a reviewer can understand why a result matters.
Separate observation from interpretation
“The reviewer opened the wrong record” is an observation. “The labels are too similar” is an interpretation that may need further checking. Recording the two separately makes it easier to discuss alternatives without presenting the first explanation as a proven cause. Unexpected results can become useful questions for another study.
Record the limits and the next action
A short review with a small sample can inform a design decision without establishing broad performance. The record should identify the material examined, the conditions, and the unresolved questions. It can end with a practical next step: revise a label, extend the sample, or test a missing condition. The examples on this website do not claim measured outcomes from completed APURVA research.