Scrum methodology is a process which helps product teams build a sustainable product based on customers preferences using an iterative approach with effective collaboration. Read more about the Scrum methods in this blog.
Product specialist is a professional who has excellent knowledge of a specific product and they are responsible for managing relationships with partners and customers along with the other roles. Read this blog to know more.
An AI Product manager oversees the development and management of artificial intelligence products. They work with cross teams to ensure that the tasks are going smoothly and on time. Read this complete blog to know more about AI Product managers in detail.
A Product marketing manager is responsible for communicating about a specific product to people, getting them familiar about the product value and usability. Read the blog, to know more about this role.
Product delivery is the only way a product reaches the customers in intact and original condition i,e. Unharmed. Read this blog to explore the importance of product delivery and understand various strategies for a successful product delivery.
Product recall is a process where product is returned to the organisation usually over safety concerns, defects, or lags. Read this blog completely to know more about the product recall process in detail.
If you’ve ever been a part of any marketing team or marketing campaign then you might have heard the term Product Placement, but have you ever wondered what it actually is? Read along to find out.
Perceived value is the worth of a product in the eyes of the people. Customers decide the perceived value of the product or service based on their features and deliverables. Let us learn more here.
Product Prototypes are simplest representation of the product idea which is used to decide whether to invest in the product. Read here to know more about prototypes of the product.
Product analyst career opportunities are rapidly increasing in India as well as worldwide. These professionals can study data and find trends, patterns, and other important things in product analysis. Read here to learn more.
