Understanding the goal and behaviour of end users is difficult. Moreover, silo thinking is common in large corporations. Needed are methods that support an understanding of the users’ needs as well as improve communication among development departments that require different needs and information. A Persona is a fictional person based on interviews or other data collecting methods, that describes the users’ needs, goals and issues with the product. This thesis describes a Persona method specifically designed for development processes in large corporations. Twenty-nine interviews were made with a standard Persona method in several countries in Europe with end users for a large forklift truck company. Subsequent analysis with a focus to make a method more affective was performed. The resulting method, Quick Persona Method (QPM) presents an affective process involving knowledge sharing among departments. Furthermore, the method is expected to break a silo thinking culture, to be time efficient, usable, understandable and improve communication among departments.