Anyone who leads projects also needs to clarify their product strategy—why this project is essential to the organization. Here are three clarifying questions that can help—and how to use them to refine your project approach.
Incorporating AI into the product management process presents many opportunities—but also brings forth significant concerns and obstacles. Here are the top seven challenges that product leaders must navigate.
The product is important. Ownership is everything. Do you embrace the product owner role completely? If you don’t advocate and hold true to that central outcome, no one else will.
PMI asked its product management subject matter expert (SME) group to highlight some of the most impactful areas for career development—where project and product management intersect, and where professionals may want to chart separate growth paths.
PMI asked its product management subject matter expert group to explore where project management and product management align—and where they differ—when it comes to key project success factors like metrics, technical indicators and customer satisfaction.
This article draws on well-known, basic project management concepts to introduce the high-level project management concepts of defined and empirical process control. It also attempts to contrast them and suggest how they might be used by PMPs in practice.
As project managers become more focused on the strategic contributions that their initiatives make, is it important for those PMs to understand the long-term vision for products?
Project and product managers share experience, education and core skills. Explore how professionals across these roles can build strong working dynamics to translate these foundations into outcomes.
The shift from project to product has gained popularity, and some organizations have restructured their agile teams in order to make the concept reality. AI may be the catalyst it needs to realize its potential.
There are immense benefits to integrating AI into the product development process, but only if project managers and teams seize the opportunities. Here are four best practices to help you leverage AI to deliver smarter, more valuable outcomes.
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