In the dynamic world of project management, the ability to efficiently prioritize and select projects is pivotal to organizational success. With an ever-increasing volume of projects and limited resources, leaders often grapple with the challenge of decision-making.
Predictor has taken us two years of development. It uses over 90 meticulously crafted yes/no questions, derived from the robust framework of the Project Canvas. By applying advanced machine learning techniques, our AI solution develops a prioritized list of projects, ranked based on their likelihood of success.
How to Use AI Predictor:
- Input Data: Users begin by answering the comprehensive set of 90+ yes/no questions for each project under consideration.
- Processing and Analysis: Once the data is inputted, the data is placed into an excel file which is uploaded into Predictor, where the machine learning algorithms get to work, processing the information and performing a multi-faceted analysis of each project.
- Output and Decision-Making: The output is a prioritized list of projects, which serves as a valuable tool for decision-makers, guiding them in selecting and prioritizing projects for optimal outcomes.
