The DQ Appraisal Cycle

Definition

The DQ Appraisal Cycle is a lightweight, five-step loop for reaching decision quality on everyday "significant" decisions — the frequent, medium-stakes choices that don't warrant the full multi-meeting Dialogue Decision Process but are too consequential for gut instinct. The steps: develop an initial frame; make a rapid first pass through the other five DQ requirements; rate each requirement on the DQ slider scale, where 100% means further effort isn't worth it; improve whichever link is weakest and re-rate everything (since requirements are "dynamically linked" and improving one often changes another); and only commit to action once every requirement clears 100%.

In the Book

The book illustrates the cycle through Caroline, a sales-team lead turned chief marketing officer, who describes applying it to routine million-dollar-range decisions — a promotion budget, a product rollout, a pricing call. Her process, in her own words: "I deal with them by going around the chain. Are we solving the right problem? Do we have good alternatives?... If we have all of that, then I say, 'Let's decide and get it done.' But if any item is missing, I stop the meeting and say, 'Let's close that gap before we decide.'" The book notes this single habit — refusing to let a meeting reach agreement while any requirement is still visibly weak — is what her colleagues mistake for unusual intelligence, when it's actually a repeatable checklist habit anyone can install. The cycle explicitly builds in refinement: an early tornado diagram or rough decision tree might reveal that alternatives need to be revisited after information is gathered, so the loop keeps cycling rather than running once and stopping.

Why It Matters

This turns "make a good decision" from a vague aspiration into a repeatable five-step routine cheap enough to run on decisions that happen weekly, not just on once-a-decade strategic bets — the gap the book is explicitly trying to close, since most organizational value is lost across many small-to-medium decisions, not the rare mega-decision that gets a formal process. It's a template for any domain needing a fast, personal quality-assurance loop: frame, rough first pass, score the weakest dimension, fix only that, repeat until nothing's below threshold.