Good decision, bad outcome: how do you assess decision quality?

Distinguish a decision’s outcome from its reasoning. Review information, alternatives, assumptions and reversibility with a practical decision note.


When a decision fails to produce the result you wanted, it is easy to conclude that you made the wrong choice. When the result is good, you may feel less inclined to examine the reasoning. Assessing the outcome and assessing the process at the time of the decision are different tasks.

A decision made under uncertainty can be affected by developments outside your control. To examine its quality, look beyond the result and make the information and alternatives available at the time visible.

Return to the moment of choice

Example situation: you decide to test a new service with a limited customer group. Early interviews look promising, you cap the cost of the trial and set a date to review it. An unexpected market change then reduces demand.

You may judge the outcome unsuccessful. To assess the decision itself, also examine the information behind the trial, the alternatives considered and how risk was limited. Equally, a choice made without a clear reason does not automatically become a sound decision process because the result happens to be good.

Ask four questions

  • What information did I have, and what information was missing?
  • Which alternatives did I consider, and why did I reject them?
  • Which assumption did I depend on being true?
  • How difficult would it have been to reverse the decision?

These questions should not become excuses for the result. They help distinguish weaknesses in the reasoning from developments outside your control. When you say you could not have known something, consider whether the information was genuinely unavailable or whether you missed an opportunity to ask.

Match the process to the scale of the decision

A two-week experiment and a long-term commitment that is hard to reverse may call for different preparation. Lengthy analysis can delay learning from a small, reversible choice. Rushing a large commitment can hide a risk that deserves closer examination.

Strata’s decision-making route begins with distinguishing a decision from a problem, then explores decision quality, reversibility and proportionate processes. Later programs cover making reasoning visible, evaluating uncertainty and learning from decisions.

Write a short decision note

For an upcoming choice, write down the option, the reason, an important assumption, the risk you accept and the date you will revisit it. A note made before the outcome is known provides a starting point for examining your thinking later.

At the review date, write two separate statements: what happened, and what you did well or missed when deciding. Choose one step to change in your next decision. You do not need to extract a major lesson from every result; noticing a recurring habit can also be useful.

Challenge an assumption with Elenq

Elenq is Strata’s AI mentor. After removing personal and confidential information, share the note and ask which assumption needs more examination, or how it would challenge the reasoning before knowing the result.

Its response is not a measurement proving that your decision is correct. You remain responsible for checking the information and context. Explore the bias management route to extend the review and practise your reasoning again in realistic cases.