Playbook
Deciding Under Uncertainty
Four frameworks for decisions the spreadsheet cannot settle: work out what kind of problem you are actually facing, rehearse the futures it could land in, price the choice branch by branch, then let the team fail the plan on paper while it can still be changed.
The worst decisions of my twenty years in business shared a pattern: I brought the wrong kind of thinking to the problem in front of me. I analysed things that needed a quick experiment, and I went with my gut on things that deserved a spreadsheet. Uncertainty punishes that mismatch harder than anything else, which is why this sequence starts a step earlier than most decision advice, with the question of what kind of problem you are actually holding. Cynefin sorts that out first, so the method fits the problem rather than your habits. Scenario planning then builds a small set of genuinely different futures and lets you rehearse inside them, which loosens the grip of the one official future everyone privately doubts. Decision trees put prices on the branches, so the choice and its assumptions sit on the table where they can be challenged one number at a time. And the pre-mortem comes last, after all that rigour, precisely because all that rigour breeds confidence, and confidence before commitment is the most dangerous asset in the room. None of this removes the uncertainty. It gives you a route through it that you can defend afterwards, including to yourself.
Decision-making & prioritisation
Cynefin Framework
A sense-making framework that sorts situations into five domains by the relationship between cause and effect, so leaders can match how they decide to the kind of problem in front of them rather than to the kind they are most comfortable managing.
Decide how to decide before deciding what to do. Cynefin sorts situations by the relationship between cause and effect: some problems reward analysis, some reward expertise, some only reveal themselves through cheap experiments, and a genuine crisis needs stabilising action before assessment. Most of us default to the method we are comfortable with rather than the one the problem needs. When your engineers call something Complicated and your frontline calls it Complex, treat the disagreement as data and run the cheap experiment before commissioning the expensive analysis.
Watch forPeople place problems by professional preference: engineers find Complicated everywhere, agilists find Complex, and executives under pressure find Chaotic.
Strategy & competition
Scenario Planning
A discipline for building a small set of plausible, structurally different futures and rehearsing strategy inside each one. The aim is not prediction but re-perception: loosening the official future that management quietly assumes, before events do it the hard way.
For the strands that are genuinely uncertain, build two to four futures that differ in structure rather than in degree, and rehearse your strategy inside each one. The question to ask of every scenario is 'what would we wish we had done?', never 'which one do we believe?'. You are sorting your moves into three piles: the robust ones that work everywhere, the options worth pricing, and the bets. The exercise has worked when the room describes the present differently afterwards.
Watch forA good year, a bad year and the budget is sensitivity analysis wearing a costume, and it leaves the official future untouched.
Decision-making & prioritisation
Decision Trees
A branching map of decisions, chance events and payoffs that turns a sequential choice under uncertainty into a tree you can price. Fold expected values back from the end branches to the root to find which first move is worth most.
With the futures rehearsed, price the actual choice. A decision tree lays out the sequence of choices and chance events, puts probabilities and payoffs on the branches, and folds the values back to tell you which first move is worth most. Its deeper service is honesty: every assumption sits on a branch where somebody can challenge it, one number at a time. Give the sensitivity analysis equal billing with the answer, because if the recommendation flips inside the honest range of an estimate, the tree is telling you to go and improve that estimate.
Watch forA positive expected value that risks the survival of the firm is still a bad bet, because you will experience one branch, never the average.
Decision-making & prioritisation
Pre-mortem
Before committing to a plan, imagine it is a year on and the plan has failed outright, then have each person independently write down why. Prospective hindsight legitimises the doubts a kickoff meeting suppresses, and it costs an hour.
After the domains, the scenarios and the tree, the team will feel rigorous, and feeling rigorous is exactly when overconfidence does its best work. So, before commitment, declare the decision a year old and failed outright, and have everyone write down why, independently and in silence. The silence matters; it flattens the hierarchy for twenty minutes and surfaces what junior people knew and would never have volunteered against a senior sponsor. If the confidence in the room drops afterwards, the exercise has worked. That deflation is the product.
Watch forSoftening the frame to 'imagine things might go wrong' collapses the exercise into an ordinary risk discussion and loses the effect entirely.
In the end
By the end you should hold an honest reading of what kind of problem you faced, a set of named futures with indicators that tell you which one is arriving, a priced policy for the choice itself, and a ranked list of failure modes with tripwires attached. You will still be deciding without certainty, because that is what deciding is. What this sequence buys is a decision whose reasoning survives contact with hindsight, and early warning when the world starts down a branch you did not choose.