Tacit Workflow Generation for Accurate Communication Tracking
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Solution Overview
Problem
Existing digital communication systems face challenges in automating user interactions and maintaining accurate records of user progress through communication workflows, requiring complex coordination and tracking.
Innovation Solution
The implementation of tacit workflows that automatically generate and manage communication workflows based on user actions and scheduled events, combined with event filters and state machines to ensure precise tracking and response to exceptional scenarios.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If complex coordination and tracking systems are used to manage communication workflows, then user progress tracking accuracy is improved, but system complexity increases
Solution Approach 1:
The system automatically tracks user progress through communication workflows without requiring manual intervention or complex coordination mechanisms. The workflow engine self-manages state tracking, event monitoring, and progress recording, eliminating the need for complex external tracking systems while maintaining high accuracy.
Solution Approach 2:
An intermediary workflow state management layer is introduced between the communication workflow execution and the tracking system. This intermediary layer abstracts the complexity of progress tracking from the main workflow system, providing accurate user progress records through a simplified interface that manages state transitions and event tracking internally.
2Productivity
If automated workflows are implemented to streamline user engagement, then productivity is improved, but loss of information about user progress may occur
Solution Approach 1:
The system continuously monitors user actions and workflow progress, providing feedback loops that track and record user progress information. Event filters capture user interactions, and the workflow engine maintains state information, ensuring that no progress data is lost during automated execution. The feedback mechanism enables real-time tracking and preservation of user progress throughout the workflow.
Solution Approach 2:
The system pre-configures workflow steps, state tracking mechanisms, and information recording structures before execution begins. User progress templates and state management frameworks are established in advance, ensuring that all necessary information is captured and preserved from the start of the workflow, preventing information loss during automated processing.
3Adaptability or versatility
If manual intervention is used to manage communication workflows, then adaptability to exceptional scenarios is improved, but loss of time in workflow execution increases
Solution Approach 1:
The workflow system dynamically adapts to exceptional scenarios through configurable event filters and state-based decision logic. The system can automatically adjust workflow paths, priorities, and execution parameters in response to unexpected events, providing adaptability without requiring manual intervention. This dynamic responsiveness reduces workflow execution time compared to static manual processes.
Solution Approach 2:
Exceptional scenario handling logic is pre-configured within the workflow engine, including predefined responses to common exceptional situations and automated escalation procedures. When exceptional scenarios occur, the system executes pre-planned actions immediately, reducing response time compared to manual assessment and decision-making processes.
Data Source
AI summary
Various embodiments described herein support or provide operations including detecting an event associated with an entity; mapping the event to a customer-defined workflow in a journey based on content of the event; generating a tacit workflow in the journey based on the mapping of the event; and processing the tacit workflow in accordance with the one or more steps.