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Performance Tracker
Feedback Machanisms
📂 Feedback & Learning Loops
Purpose: Collect real-time feedback from network participants to improve governance and operations.
A resilient network thrives on continuous feedback and adaptive learning. This section enables real-time input collection, helping to refine governance processes, optimize resource distribution, and enhance decision-making transparency. By prioritizing feedback and tracking resolutions, the network can evolve dynamically while maintaining alignment and efficiency.
How to Use:
Submit feedback via Coda Forms → Suggest changes or report inefficiencies.
Track feedback resolution status → View which feedback is Pending, Resolved, or In Review.
Trigger urgent alerts → Automate notifications for critical feedback
Feedback Tracker
Feedback Type
Submitted By
Priority
Status
Decision Transparency
Member A
High
Pending
Resource Delays
Member B
Medium
Resolved
There are no rows in this table
Outcomes
Outcome: Ensures that critical feedback is reviewed quickly and the network adapts based on collective intelligence.
Outcome: Creates a self-regulating feedback system, allowing holons to refine governance processes in real time.
Automated Features
1️⃣ Use Coda Forms to allow users to submit feedback
2️⃣ Set up Automations → If a feedback submission is Urgent, notify governance teams immediately
3️⃣ Add a "Mark Resolved" Button to track updates
✅ Outcome: A real-time feedback system ensuring continuous adaptation.
Feedback Loop & Adaptive Learning Automation
💡 Streamline continuous improvement by automating feedback collection and review cycles.
How to Set It Up in Coda:
1️⃣ Go to the Feedback Tracker Table
2️⃣ Click “+ Add Automation” → Select “When a New Feedback Entry is Submitted”
3️⃣ Set Actions:
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