Multi-Level Tax Liability Data Presentation
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Solution Overview
Problem
Existing tax calculation methods lack the ability to effectively compare and explain year-over-year changes in tax liability, making it difficult for users to understand reasons behind changes in tax due amounts or refunds between different tax years.
Innovation Solution
A computer-implemented method using tax preparation software that creates tree data structures for current and preceding years, calculates numerical differences, and presents a multi-level data presentation to users, highlighting reasons for changes in tax liability through a differential tree data structure.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Loss of information
If traditional tax calculation methods are used, then tax liability can be computed, but the ability to explain and compare year-over-year changes is insufficient
Solution Approach 1:
The patent segments tax liability data into hierarchical tree structures with multiple levels of detail. The first level shows high-level tax components, while subsequent levels provide progressively more detailed breakdowns of each component, enabling users to drill down from summary to granular detail as needed.
Solution Approach 2:
The patent adds a temporal dimension by creating parallel tree structures for different tax years and introducing a differential dimension that shows numerical differences between corresponding nodes. This multi-dimensional presentation allows simultaneous viewing of historical data, current data, and their differences.
2Loss of information
If detailed tax data is presented to users, then completeness of information is improved, but usability and understandability deteriorate
Solution Approach 1:
The patent divides comprehensive tax data into segmented hierarchical levels, where users can access detailed information only at the level they need. The tree structure organizes data into logical groups and subgroups, making complex tax information more manageable and understandable.
Solution Approach 2:
The patent implements progressive disclosure where users first see a summary view with key tax components, then can selectively expand only the portions they need to understand. This partial action approach prevents information overload while maintaining access to complete data when needed.
3Loss of information
If year-over-year comparison data is provided, then user understanding of tax changes is improved, but data processing complexity increases
Solution Approach 1:
The patent performs preliminary actions by pre-calculating and storing tax liability data in structured tree formats for multiple years. The differential values between years are computed and stored in advance, so that when users request comparisons, the data is already prepared and ready for immediate display without complex real-time calculations.
Solution Approach 2:
The patent introduces differential tree structures as intermediary representations that bridge current year and prior year data. These intermediary structures contain pre-computed differences and serve as a mediator that simplifies the comparison process, eliminating the need for users to manually calculate differences between complex tax data sets.
Data Source
AI summary
The methods described herein are suitable for use in explaining changes in the net federal tax between a current year and a preceding year (e.g., year-over-year changes). Thus, the methods have suitability for comparing taxes due amounts between different tax years as well as refund amounts between different tax years. The computing device presents to a user of the tax preparation software a multi-level data presentation of the reasons contributing to the differences in tax liability between a current year and a preceding year. In one aspect, the reasons may be expanded or collapsed to sure more or less detail depending on user preference.