Gather feedback from test users and optimize WebSocket/browser interactions.

[c0rtexR]

Subtask: Gather feedback from test users and optimize WebSocket/browser interactions

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Task Overview:
Collect feedback from users testing WebSocket and browser-based interactions in the data-river editor. Use the insights gained to identify and address any performance issues or user experience challenges, ensuring that both WebSocket and browser-based communications are optimized for real-time data flow.

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SMART Criteria

Specific 🎯:
Gather feedback from users focusing on:

• Performance of WebSocket interactions, including latency and reliability of real-time data transfer.
• The responsiveness of browser-based mechanisms for simpler tasks (e.g., fetch).
• Identify any bottlenecks or issues with either WebSocket or browser-based interactions.

Measurable 📏:
Success will be measured by:

• Feedback from at least 10 test users regarding WebSocket and browser interactions.
• Performance improvements in response times, with WebSocket latency consistently below 200ms and browser-based tasks executing under 100ms.
• Positive feedback from 80% of users indicating satisfaction with the responsiveness and real-time updates.

Achievable 🚀:
This task is achievable by engaging test users through Discord, Instagram, or other channels, and using a feedback form to gather detailed insights on performance and responsiveness. Further optimization can be done based on feedback.

Relevant 🎯:
Optimizing WebSocket and browser-based interactions is critical to the user experience, ensuring that real-time data flows efficiently and that simpler tasks execute quickly.

Time-bound ⏳:
This task should be completed within 2 weeks, allowing time to gather feedback, analyze results, and implement performance optimizations.

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Subtasks 📝

• Distribute a feedback form to at least 10 users to gather insights on WebSocket and browser-based task performance.
• Collect and analyze feedback to identify any issues related to latency, reliability, or user experience.
• Optimize WebSocket communication to reduce latency and improve real-time data flow.
• Refine browser-based mechanisms (fetch, XHR) to ensure quick execution for simpler nodes.
• Test the improvements in real-world scenarios to confirm optimizations.

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Acceptance Criteria ✅

• Feedback from at least 10 users is gathered and analyzed.
• WebSocket latency is consistently below 200ms, and browser-based tasks execute in less than 100ms.
• 80% of test users report satisfaction with the performance and real-time updates after optimizations.

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Additional Notes 🗒

Ensure that performance optimizations do not compromise the system’s stability, especially for complex workflows that require WebSocket communication.