Bloom's Taxonomy and Depth of Knowledge get taught in every teacher training program and then, in practice, mostly forgotten once question banks get built under deadline. That's a missed opportunity, because the two frameworks answer different questions and both matter.
Bloom's level describes the kind of cognitive work a question demands — recalling a fact sits at a different level than applying a formula to a novel scenario, which sits at a different level again than evaluating which of several approaches is correct. DOK describes how deep that thinking has to go regardless of the verb used — a question can look like 'analysis' on the surface and still only require DOK 1 reasoning underneath.
Tagging every question on both dimensions, at the point it's written, turns an assessment from a pile of items into a blueprint you can actually reason about: whether a test is front-loaded with recall, whether a unit ever asks students to apply what they learned instead of just remembering it, whether the difficulty a student is failing at is a content gap or a reasoning-depth gap. Neither framework is exotic. The value is in applying them consistently enough that the data becomes trustworthy.