As a user of the SEI platform,

I want the search bar to provide AI-powered suggestions for selecting and configuring widgets,

so that I can easily find the right widgets for my use case without needing extensive knowledge of the platform or its configurations.

Acceptance Criteria:

AI-Driven Widget Suggestions:

When a user inputs a query describing their use case (e.g., "I want to see developer velocity"), the system suggests relevant widgets (e.g., "Coding Days", "Velocity Report").

Instructional Guidance:

Along with widget suggestions, the system provides step-by-step instructions for configuring the widget, such as:

Selecting the appropriate metrics (e.g., "Sum of Story Points").

Choosing the correct aggregation (e.g., "Sprint" or "Team").

Natural Language Processing (NLP):

The search bar interprets natural language queries effectively and maps them to relevant widgets and configurations.

Coverage of Common Use Cases:

The AI supports common use cases, such as:

"I want to see sprint-by-sprint progress" → Suggest "Issues Report" with instructions for configuring Story Points and Sprint aggregation.

"I want to track developer productivity" → Suggest "Coding Days", "Pull Requests Completed", etc.

"Show me cycle time trends" → Suggest "Cycle Time Trend" and relevant configurations.

Error Handling:

If no relevant widgets are found, the system provides helpful alternatives or suggestions to refine the query.

Customization Options:

Users can provide feedback on the suggestions to refine the AI's results over time (e.g., marking a widget as relevant or irrelevant).

Integration with Existing Widgets:

The feature integrates seamlessly with the platform’s widget library and dynamically updates based on available widgets.

Benefits:

Reduces friction for users unfamiliar with the platform.

Improves adoption and utilization of widgets.

Enhances overall user experience by simplifying the widget selection process.