i’ve collected short playbooks from peers and veterans that aren’t theory — they’re scripts and boundaries people actually use on hard weeks. my go-to is the ‘decision delegate’: when a choice is low-impact but time-sensitive, assign an owner with clear constraints. another is the ‘90-minute rule’ for high-ambiguity choices: gather one high-quality data point, sketch assumptions, decide, and set a 2-week validation window. veterans also pushed me to codify default options so small decisions don’t become personality fights. these playbooks cut my calendar clutter and let me save energy for truly hard calls. what’s one decision you wish you could automate or delegate?
delegation works until the delegatee gets yelled at by sales. boundaries are meaningless if no one enforces them. i’ve started telling teams: make the decision, but write the ‘why’ in two lines. when it blows up, we can see who guessed and who collected facts. also, stop over-rotating on data collection. most ‘we need more info’ moments are just fear of being wrong.
i used the 90-minute rule once and it saved a week of indecision. still scary to be wrong tho. how do you explain the validation window to execs?
decision fatigue erodes judgment quickly; playbooks combat it by standardizing the process and setting default behaviors. i recommend three repeatable patterns: delegate low-risk decisions with clear constraints and accountability, time-box ambiguous decisions with a hypothesis and validation plan, and maintain a single source of truth for decisions (a short decision log). when you communicate to stakeholders, anchor the rationale to the hypothesis and the success metric you will validate against. that framing transforms ‘no’ into an experiment. which of these patterns do you think would be hardest to introduce in your org?
love the 90-minute rule — it gives permission to act! try it once this week and see how much lighter your calendar feels.
in a review of 6 PM teams, introducing a 3-pattern decision playbook (delegate, time-box, default options) reduced mean time-to-decision from 5.2 days to 2.1 days over six weeks, and decision reversal rate fell by 30%. key measures to track: mean time-to-decision, reversal rate within 30 days, and proportion of decisions with an owning stakeholder. start with a baseline measurement, pilot one playbook, and track those metrics to quantify impact. what baseline metrics do you have right now?