What it means
The model is instructed to think step-by-step (often internally or visibly), improving accuracy on multi-step tasks at the cost of length and latency.
Why designers should care
Expose reasoning when trust and audit matter; hide or collapse it when users need speed. Always offer a concise final answer layer.
Example
A prioritization assistant expands “Why this ranking?” to show factors (impact, effort, dependencies), but the default view is a sorted list with one-line rationales.
Common mistakes
- Dumping raw chain-of-thought walls on users who asked for a decision.
- Hiding reasoning entirely on high-stakes recommendations with no audit trail.
- Confusing verbose output with higher quality without verification UI.
Frequently asked questions
What is Chain of Thought?
Chain of thought (CoT) is a prompting approach where the model shows intermediate reasoning steps before the final answer.
Why should designers care about Chain of Thought?
Expose reasoning when trust and audit matter; hide or collapse it when users need speed. Always offer a concise final answer layer.
What are common mistakes with Chain of Thought?
Dumping raw chain-of-thought walls on users who asked for a decision; Hiding reasoning entirely on high-stakes recommendations with no audit trail; Confusing verbose output with higher quality without verification UI.