361 topics found for:

“goals and tasks”

Scrum

An agile framework for managing work with an emphasis on software development, characterized by sprints and iterative progress. Essential for improving productivity and delivering incremental value in development projects.

Velocity

A measure used in Agile project management to quantify the amount of work a team can complete in a given sprint, typically measured in story points. Crucial for planning and forecasting in Agile projects and understanding team capacity.

Product Specs

Detailed descriptions of a product's features, functionality, and technical requirements, used to guide development and ensure all stakeholders are aligned. Essential for ensuring that the product development process is clear and aligned with business and user needs.

Vanity Metrics

Metrics that may look impressive but do not provide meaningful insights into the success or performance of a product or business, such as total page views or social media likes. Important for distinguishing between metrics that drive real business value and those that do not.

ROI

Return on Investment (ROI) is a performance measure used to evaluate the efficiency or profitability of an investment or compare the efficiency of different investments. Crucial for assessing the financial effectiveness of business decisions, projects, or initiatives.

Feature Factory

A term used to describe an organization focused on continuously shipping new features, often at the expense of quality, user experience, or business value. Crucial for recognizing and addressing the pitfalls of prioritizing quantity over quality in feature development.

RFx

A collective term for Request for Information (RFI), Request for Proposal (RFP), and Request for Quotation (RFQ) processes used in procurement. Crucial for managing vendor selection and procurement processes in digital product development.

ASI

Artificial Superintelligence (ASI) is a hypothetical AI that surpasses human intelligence and capability in all areas. Important for understanding the potential future impacts and ethical considerations of AI development.

ALM

Application Lifecycle Management (ALM) is the process of managing an application's development, maintenance, and eventual retirement throughout its lifecycle. Important for ensuring the sustainability and effectiveness of digital products over time.