Advanced Analytics in Product Prioritization and Roadmap Development for Marketplace Success

In modern highly dynamic and competitive markets, the ability to efficiently manage priorities of product features, and design changeable road maps has become one of the key requirements for longevity. From a review of this article, it is clear as to how advanced analytics shifts the traditional techniques of product prioritization and road mapping while incorporating data and predictive models. It explains mechanics including RICE, MoSCoW and weighted scoring mechanics, and introduces new mechanics based on AI and ML. The paper also looks at real-world case studies, issues with ethics, and emerging problems such as how to bring data together and how to avoid bias. This review categorises the identified studies and focuses on future research directions to support that analytics are central to harmonising business values with the market’s needs for innovation and productivity improvement in product management.