Collaboration Work-Unit Characterization With Weighted Objectives
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Solution Overview
Problem
Existing collaboration environments fail to effectively link units of work to business objectives, leading to misalignment between task completion and outcome achievement, as completion of units of work does not directly contribute to progress towards fulfillment of business objectives.
Innovation Solution
A system and method to characterize units of work based on business objectives, utilizing machine-readable instructions to manage environment state, progress, and user interface components, enabling indirect and direct facilitation of progress towards business objectives through monitoring and updating of units of work and their relationships within a collaboration environment.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If units of work are tracked in collaboration environments, then task completion can be monitored, but the link to business objectives is weak and does not directly reflect progress toward fulfillment
Solution Approach 1:
The patent introduces an intermediary layer consisting of objectives and epics that mediate between units of work and business objectives. This intermediary structure captures and maintains the strategic connection, allowing progress at the unit level to be aggregated and reflected at the objective level through weighted contributions, thereby preventing information loss about the work-objective relationship
Solution Approach 2:
The system implements feedback mechanisms where completion status of units of work is fed back through objectives and epics to update business objective progress. The progress calculation uses weighted sums of completed units, creating a feedback loop that continuously reflects the state of business objectives based on underlying work completion, enabling precise measurement of progress toward strategic goals
2Productivity
If business objectives are associated with units of work, then progress can be tracked, but the relationship is indirect and completion of units does not guarantee objective fulfillment
Solution Approach 1:
The patent applies dynamics by making the relationship between units of work and business objectives flexible and adaptive rather than rigid. Progress toward business objectives is calculated dynamically based on the completion status and weighting of associated units of work, allowing the system to adapt to changing priorities and recognize that objective fulfillment depends on weighted contributions rather than simple completion counts
Solution Approach 2:
The system changes parameters by introducing weighted contributions of units of work to objectives, rather than treating all units equally. This parameter change allows differential weighting based on strategic importance, enabling more reliable prediction of outcome achievement by considering not just whether units are completed but how much they contribute to the overall objective
3Adaptability or versatility
If multiple levels of objectives (subordinate and superior) are implemented, then hierarchical progress can be monitored, but system complexity increases
Solution Approach 1:
The patent implements a nested hierarchical structure where units of work are nested within objectives, which are nested within epics, which are nested within business objectives. This nested doll approach allows monitoring of progress at multiple levels simultaneously, with each level containing and contributing to the level above it, providing flexibility in objective management while organizing complexity in a manageable hierarchical framework
4Measurement precision
If progress is updated based on external resources and user input, then real-time tracking is achieved, but data management complexity increases
Solution Approach 1:
The patent makes the progress tracking system universal by designing it to accept multiple data sources (external resources, user input, system-generated data) through a unified interface. The same objective and unit structures handle data from diverse sources, reducing data management complexity by treating different input types uniformly while maintaining precise progress measurement through consistent processing rules
Data Source
AI summary
Systems and methods for units of work based on business objectives are disclosed. Exemplary implementations may: manage environment state information maintaining a collaboration environment configured to facilitate interaction by users, the environment state information defining units of work and business objectives associated with the units of work; obtain progress information, the progress information for individual business objectives conveying progress toward fulfillment of the individual business objectives; update objective records for the business objectives based on the progress information so that the progress of the business objectives is maintained by the objective records; and/or perform other operations.