Use when implementing expand and collapse content sections.
日本語の概要は準備中です。原文の説明を表示しています。
Use when implementing show completion status of an operation.
インストール方法を見るインストールする前に、エージェントに与えられる指示の中身を確認できます。
Show completion status of an operation
A Progress Indicator pattern helps teams create a reliable way to show how far a task has advanced and how much work remains when the system can estimate that honestly. It is most useful when teams need file upload and export jobs. Compared with adjacent patterns, this pattern should reduce friction without hiding the state, rules, or recovery paths people need to keep moving.
references/pattern.md, then choose the smallest viable variation.aria-describedby or structural headings when useful.The Problem: When every state uses strong color, motion, and sound, people stop paying attention.
How to Fix It? Create a severity ladder and reserve the strongest treatment for the states that truly need interruption.
The Problem: Short tasks feel sluggish with heavy loading UI, while long tasks feel abandoned with no progress guidance.
How to Fix It? Pick the lightest possible feedback for the wait length and keep the pattern honest about how much is known.
The Problem: Screen reader users miss transient changes when live-region behavior is inconsistent or absent. How to Fix It? Define how each state is announced and test polite versus assertive updates with real assistive technology.
For full implementation detail, examples, and testing notes, see references/pattern.md.
Pattern page: https://uxpatterns.dev/patterns/user-feedback/progress-indicator
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概要と使いどころ
Use when implementing expand and collapse content sections.
日本語の概要は準備中です。原文の説明を表示しています。
Use when implementing user account configuration and preferences.
日本語の概要は準備中です。原文の説明を表示しています。
Use when implementing social activity and updates stream.
日本語の概要は準備中です。原文の説明を表示しています。
Use when implementing conversational AI chat interfaces.
日本語の概要は準備中です。原文の説明を表示しています。
Use when implementing handling AI-specific errors.
日本語の概要は準備中です。原文の説明を表示しています。
Use when implementing loading states for AI operations.
日本語の概要は準備中です。原文の説明を表示しています。