System and method for updating real-time project status based on deliverable status

Abstract

Disclosed are a system and method for updating real-time project status based on deliverable status. An application updates a status of a project with a plurality of tasks, where each task has at least one deliverable. The project status is updated in real-time based on a deliverable status of at least one task deliverable. For each project task with at least one deliverable, a plurality of deliverable life cycle states to be tracked are defined. Each tracked deliverable life cycle state is mapped to a percentage completion of a project task. A weightage is assigned to each deliverable according to an importance of the deliverable. A changed life cycle state is received for a deliverable, and the project task percentage completion status is automatically adjusted according to a product of the changed life cycle state and the assigned weightage.

Description

[0001] Cross References to Related Applications [0002] This application claims a U.S. Provisional Patent Application entitled "Method for Updating Real-Time Project Status Based on Deliverable Status," filed July 2, 2020 Priority interest under No. 63 / 047,772. The disclosure of the prior application is incorporated herein by reference in its entirety. technical field [0003] The present invention relates to project management tools and, more particularly, to automatically incorporating deliverable status updates into project status updates. Background technique [0004] In project management, projects are typically managed by breaking them down into tasks, where the completion of each task is monitored by manually updating task parameters, such as task completion percentage and / or task maturity status. As product development and production become more automated and distributed, complex task cross-dependencies become difficult to manage, complicating the scheduling and a...

AI Technical Summary

Problems solved by technology

As product development and production become more automated and distributed, complex task cross-dependencies become difficult to manage, complicating the scheduling and allocation of resources

This results in additional non-value-added activities, such as providing project status during landscape transitions

Specifically, when the status of a first task deliverable changes, it can be difficult and time consuming to track and accurately reflect the result impact on direct and / or indirect second task deliverables

Also, manually prepared project status may be based only on processing data which may not be up to date, so resulting status may be more perception based than fact based

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