Behavioral Product Management
Managing product development with a focus on understanding and influencing user behavior through behavioral science principles.
Managing product development with a focus on understanding and influencing user behavior through behavioral science principles.
Characteristics of big data defined as Volume, Velocity, Variety, Veracity, and Value.
A cognitive bias where individuals underestimate the time, costs, and risks of future actions while overestimating the benefits.
A cognitive bias where individuals or organizations continue to invest in a failing project or decision due to the amount of resources already committed.
The process of understanding user behaviors, needs, and motivations through various qualitative and quantitative methods.
The process of identifying, assessing, and mitigating potential threats that could impact the success of a digital product, including usability issues, technical failures, and user data security.
A social norm of responding to a positive action with another positive action, fostering mutual benefit and cooperation.
The ability to perform actions or behaviors automatically due to learning, repetition, and practice.
The process of designing intuitive navigation systems within a digital product that help users easily understand their current location, navigate to desired destinations, and efficiently complete tasks.