Dynamic Tax Interview Interface for Incomplete Topic Detection
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Solution Overview
Problem
Computerized tax return preparation systems face challenges in efficiently identifying and presenting tax topics that become incomplete due to runtime data changes, often requiring users to navigate through complex and fixed interview screens, leading to inefficiencies and increased user navigation.
Innovation Solution
A modular tax return preparation system that dynamically adjusts user interfaces and user experiences by incorporating a completion monitor and interface controller, allowing for real-time detection and notification of incomplete tax topics, with interface elements like buttons or links directing users to affected areas without requiring additional user input or final error checks.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Ease of operation
If a fixed interview screen sequence is used, then the system structure is simple, but the user must navigate through complex screens even when topics are already complete
Solution Approach 1:
The patent implements dynamic interview screens that adapt their content and sequence based on real-time completion status of tax topics. The system monitors topic completion and automatically modifies the interview screen flow, presenting only relevant incomplete topics to users rather than following a fixed predetermined sequence. This dynamic adaptation resolves the contradiction by making the system structure flexible enough to avoid unnecessary navigation while maintaining operational simplicity for the user.
Solution Approach 2:
The system incorporates real-time feedback mechanisms that track tax topic completion status and immediately reflect this information in the interview screen presentation. When a topic becomes complete or incomplete, the system feedback loop automatically adjusts the navigation path, preventing users from revisiting complete topics. This feedback-driven approach resolves the contradiction by using system monitoring to simplify user navigation without requiring complex manual reconfiguration.
2Reliability
If the system checks all topics for completeness, then completeness is ensured, but additional user input and time are required
Solution Approach 1:
The system performs preliminary completeness checks continuously during the tax preparation process rather than conducting a single comprehensive check at the end. By monitoring topic completion status in real-time and proactively identifying incomplete topics, the system ensures reliability throughout the process without requiring users to spend additional time on a separate final review. This preliminary action approach resolves the contradiction by distributing completeness verification across the entire preparation workflow.
Solution Approach 2:
The system automatically monitors and tracks the completeness of tax topics without requiring user initiation or input. The completion monitoring mechanism operates autonomously, detecting when topics become complete or incomplete and automatically adjusting the interview flow accordingly. This self-service capability resolves the contradiction by ensuring thorough completeness checking while eliminating the need for users to invest additional time in manual verification.
3Adaptability or versatility
If the interview screen sequence is predetermined, then the system is easy to implement, but it cannot adapt to runtime data changes
Solution Approach 1:
The patent transforms the static predetermined interview screen sequence into a dynamic structure that automatically adapts to runtime data changes. The system monitors changes in tax data and completion status in real-time, then dynamically reconfigures the interview screen sequence to reflect current needs. This dynamic architecture resolves the contradiction by enabling the system to respond adaptively to data changes while maintaining a relatively simple implementation through automated rule-based adjustments rather than complex manual reconfiguration.
Data Source
AI summary
A modular, computerized tax return preparation application engine including modular tax logic engine and interface controller components loosely coupled to each other and a modular completion monitor. Modular tax logic engine receives runtime data of the tax return and generates a first non-binding suggestion involving a tax topic that is incomplete based on first runtime data and a decision table. Modular interface controller generates a first interface including a first interview screen including content based on the first non-binding suggestion. For iterations or changes of runtime data, completion monitor determines when a previously complete tax topic is now incomplete and notifies modular interface controller regarding the completion status modification. In response modular interface controller generates a second interface comprising an encoded link to an interview screen or screens to address previously complete but currently incomplete tax topics.