Most review loops treat all comments as equally real. They are not. Some notes name a specific claim and point at the sentence that carries it. Others express a feeling ("this section drags") with no handle for revision. When you act on both with equal energy, the vague note can consume more time than the testable one, because there is no stopping condition: you cannot tell when a fuzzy concern has been satisfied.
Behavioral research on prioritization shows why this happens. The "mere-urgency effect" describes how people pick time-sensitive tasks over higher-payoff ones, even when the payoff difference is clear, and the effect is stronger in people who describe themselves as busy (Todoist's summary of the research). Advisor feedback carries the same trap: a comment delivered in a meeting feels urgent, so it jumps the queue ahead of a smaller note that actually identifies a broken argument.
The Eisenhower Matrix offers the underlying discipline. It sorts work on two axes, urgency and importance, and the point is to stop reacting to every demand (Asana). Academic versions of the matrix define four quadrants: deadline work, long-term investment, requests without consequences, and pure time-wasters (Columbia SPS). That last quadrant is the one writers rarely name out loud. A vague comment politely phrased reads as important when it is only loud.
There is a second reason to filter. When reviewers give specific, criteria-based comments, writers can close the gap between the current draft and the goal; vague feedback leaves that gap unmeasured (Polimi OpenKnowledge on rubrics and feedback). The rubric in this article exists to convert advisor comments into that measurable form, or to park them honestly when they cannot be converted.



