microsoft/omnichannel-chat-widget
Jul 2025 – Jul 2025
1 Month active
Languages Used
JavaScriptTypeScript
Technical Skills
Chat SDK IntegrationFront End DevelopmentJavaScriptState ManagementTypeScriptUI/UX Development
Kevin Lin
PROFILE
Kevin Lin
Kevin Lin developed and integrated a conversational post-chat survey feature for the microsoft/omnichannel-chat-widget repository, enabling automated feedback collection after chat sessions. He connected the Microsoft Copilot Studio (MCS) survey provider with the web chat composer, allowing surveys to be triggered and managed seamlessly within the chat flow. His work involved updating state management logic and introducing new constants to standardize survey metadata, ensuring robust handling of survey interactions. Utilizing JavaScript and TypeScript, Kevin focused on front end development and UI/UX improvements. The integration established a foundation for enhanced customer satisfaction insights, demonstrating depth in chat SDK integration and state management.
Overall Statistics
Feature vs Bugs
100%Features
Repository Contributions
1Total
Bugs
0
Commits
1
Features
1
Lines of code
197
Activity Months1
Work History
July 2025
1 Commits • 1 Features
Jul 1, 2025In July 2025, delivered the Conversational Post-Chat Survey (MCS) Integration for microsoft/omnichannel-chat-widget. The work enables conversational post-chat surveys using the Microsoft Copilot Studio (MCS) survey provider, integrating the post-chat survey flow with the web chat composer and updating state management and constants to support the new flow. The change lays the groundwork for improved feedback collection and CSAT insights across chat interactions.
1 Commits • 1 Features
Jul 1, 2025In July 2025, delivered the Conversational Post-Chat Survey (MCS) Integration for microsoft/omnichannel-chat-widget. The work enables conversational post-chat surveys using the Microsoft Copilot Studio (MCS) survey provider, integrating the post-chat survey flow with the web chat composer and updating state management and constants to support the new flow. The change lays the groundwork for improved feedback collection and CSAT insights across chat interactions.
July 2025
Activity
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Quality Metrics
Correctness90.0%
Maintainability80.0%
Architecture80.0%
Performance80.0%
AI Usage20.0%
Skills & Technologies
Programming Languages
JavaScriptTypeScript
Technical Skills
Chat SDK IntegrationFront End DevelopmentJavaScriptState ManagementTypeScriptUI/UX Development
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