User-Level Request Tracking With Status Feedback
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Solution Overview
Problem
Existing computer systems in institutions struggle to efficiently track user requests due to increased complexity, leading to inefficiencies in problem solving and negative user experiences, as current solutions do not monitor requests at the user level.
Innovation Solution
A system that captures and tracks requests at the user/transaction level by transforming communications into structured formats using APIs, generating enhanced request data objects with unique identifiers, and storing them in a transaction tracking database, while monitoring and updating status indicators through multiple processing steps.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If current monitoring solutions are used, then system complexity is maintained at existing levels, but request tracking capability at user level is insufficient
Solution Approach 1:
The system segments request tracking by introducing unique identifiers (request ID, user ID, session ID) that divide the monitoring scope into discrete, trackable units. Each request is individually tagged and tracked through multiple processing steps, enabling precise user-level monitoring without requiring complete system redesign.
Solution Approach 2:
An intermediary tracking mechanism is introduced between the request receiving point and the processing systems. The system captures requests, assigns unique identifiers, and maintains a tracking database that mediates between the complex processing systems and the monitoring requirements, allowing precise tracking without increasing the complexity of individual processing components.
2Productivity
If detailed user-level request tracking is implemented, then problem solving efficiency improves, but data processing complexity increases
Solution Approach 1:
The system performs preliminary actions by capturing requests at the point of entry and pre-assigning unique identifiers before they enter the processing pipeline. This preliminary tracking setup enables efficient problem solving later without requiring complex real-time analysis during processing, as the tracking infrastructure is established in advance.
Solution Approach 2:
The system implements feedback mechanisms where processed requests are updated in the tracking database with status information. This feedback loop enables efficient problem solving by providing real-time status information about request processing, allowing the system to identify and resolve issues quickly without requiring complex analytical processing.
3Ease of operation
If real-time request monitoring is implemented, then user experience improves, but system response time increases
Solution Approach 1:
The tracking functionality is extracted from the main processing pipeline as a separate, non-blocking mechanism. Requests are captured and tracked independently through a dedicated tracking database, allowing real-time monitoring of user requests without interfering with or increasing the response time of the actual service processing operations.
Data Source
AI summary
Systems and methods for capturing and tracking requests are provided. A method includes receiving a communication from a third-party computing device including request to interact with an application hosted by an enterprise and transforming the communication into a structured format thereby generating a request data object. The request data object includes a unique user identifier and user metadata associated with the request. The method also includes generating an enhanced request data object and storing the enhanced request data object into a transaction tracking database. The method includes processing the request data object, updating the enhanced request data object responsive to the processing, and outputting a control signal associated with one or more status indicators of the enhanced request data object.