Patent Document ID: 9552561
Application ID: 14184285
Patent Flag: 1

Claim One:
1. A method of incorporating user insights in predicting, diagnosing and remediating problems that threaten on-time delivery of a project, comprising: gathering information; conveying the information to one or more users; allowing, by a processor, a user to input a new value associated with the project, the new value assessed based on the information and representing an expert assessment of the information, and to indicate a period of time the user considers the information to be applicable; and incorporating the new value and the period of time into data used in a prediction algorithm that predicts probability distribution of completion time of the project as the project is progressing, the prediction algorithm comprising a combination of machine learning and stochastic simulation, wherein the machine learning comprises training a machine learning algorithm to predict an estimated effort needed to complete each of unfinished tasks belonging to the project based on a set of completed tasks belonging to the project if available and a set of completed tasks not belonging to the project if available, the stochastic simulation comprising a Monte Carlo simulation based on repeated random sampling of scheduling and assigning of the unfinished tasks to team members subject to resources and scheduling constraints, the prediction algorithm updating the probability distribution of completion time of the project by incorporating progressions already made on the project and the new value and the period of time as the project progresses.