Question
What is optimal stopping?
Quick Answer
For most decisions good enough is better than perfect because the search cost exceeds the improvement.
Example: You need a new project management tool. A maximizer evaluates every option — Asana, Monday, Linear, Notion, Jira, ClickUp, Basecamp, Height, Shortcut — reads comparison articles, watches demos, starts free trials, asks colleagues, reads Reddit threads, and three weeks later picks one but keeps wondering if another would have been better. A satisficer defines criteria upfront (must have: Kanban boards, GitHub integration, under $10/seat), evaluates tools until one clears every threshold, and starts using it that afternoon. The maximizer's tool might be 5% better on some axis. The satisficer shipped three weeks of work in the meantime.
This concept is part of Decision Frameworks in the How to Think curriculum.
Learn more in these lessons
- Satisficing versus maximizing
- Know when to stop optimizing
The optimal amount of optimization is not infinite — there is a point where you should stop and move on.
Go beyond the answer
This topic is part of Close Your Knowing-Doing Gap — a guided sequence of 19 lessons.
After completing this path you will understand why knowing what to do was never enough, have a trigger-based system that initiates action without willpower, know why self-discipline fails and system design succeeds, and experience the relief of closing the gap between your intentions and your behavior — because the system does what motivation couldn't.
Start the path →