Glossary of Terms

A condition where an AI model fails to capture underlying patterns in the training data, resulting in poor performance.

Use cases explain every possible use of a feature or capability. Each use case generally outlines a particular value proposition to the user. Use cases are commonly used in product specifications (not requirements).

A hypothetical scenario for how a user might interact with the product. A use scenario explains a common or typical usage of a product feature or capability.

The quality of a user's interaction with a specific product or service, focusing on usability, design, and functionality.

The means by which the human and computing system interact. UI most often refers to the design of the application or website.

Stories are short requirements or requests written from the perspective of an end user. Sometimes called “epics” or "user stories."

A value proposition explains why a customer would choose your product or service. It communicates the clearest benefit that customers receive by buying from you. Every value proposition should speak to a customer's challenge and make the case for your company as the problem-solver

A metric often used in agile software development, team velocity measures how many units of work the engineering team is able to accomplish in a set period of time. Also commonly defined as "the rate of progress" of a team.

The practice of collecting and analyzing customer feedback, without bias, from surveys, interviews, and conversations, across the organization. Voice of the customer involves continuous research of the market to inform product and promotion decisions.

An AI technique where the model performs a task without prior examples or specific training on that task.

An AI productivity tool for scheduling and meeting management.