94 topics found for:

“iterative processes”

PDCA Cycle

Plan, Do, Check, and Act (PDCA) is a four-step management method used for continuous improvement of processes and products. Essential for implementing and maintaining continuous improvement in business and design processes.

Generative Design

An iterative design process that uses algorithms and computational tools to generate a wide range of design solutions based on defined constraints and goals. Crucial for exploring innovative and optimized design solutions.

NPD

New Product Development (NPD) is the complete process of bringing a new product to market, from idea generation to commercialization. Essential for companies to innovate, stay competitive, and meet evolving customer needs through a structured approach to creating and launching new offerings.

Kaizen

A Japanese term meaning "continuous improvement," focusing on small, incremental changes to enhance processes and products. Crucial for fostering a culture of ongoing improvement and excellence in product design and development.

Pilot

A preliminary version of a project or system used to test and validate its feasibility before full-scale implementation. Crucial for identifying potential issues and making necessary adjustments to improve the final product.

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.

SCAMPER

Substitute, Combine, Adapt, Modify, Put to another use, Eliminate, and Reverse (SCAMPER) is a creative thinking technique that encourages innovation in a product or process. Useful for generating new ideas and improving existing products or processes.

Smoke Testing

A preliminary testing method to check whether the most crucial functions of a software application work, without going into finer details. Important for identifying major issues early in the development process and ensuring the stability of digital products.

LLM

Large Language Model (LLM) is an advanced artificial intelligence system trained on vast amounts of text data to understand and generate human-like text. Essential for natural language processing tasks, content generation, and enhancing human-computer interactions across various applications in product design and development.

BML

Build-Measure-Learn (BML) is a feedback loop used in Lean Startup methodology where a product is built, its performance is measured, and learnings are used to make improvements. Essential for iterating quickly and efficiently to create products that better meet user needs and market demands.

Product Team

A cross-functional team focused on solving customer problems and achieving business outcomes, with a strong emphasis on discovery, experimentation, and continuous improvement. Crucial for creating valuable and innovative products that meet user needs and drive business success through iterative development and close collaboration with stakeholders.

Scrumban

A hybrid Agile project management framework that combines elements of Scrum and Kanban to improve flexibility and workflow management. Useful for teams seeking to blend the structured approach of Scrum with the visual workflow of Kanban.

Feature Release

The process of making a new feature available to users, often involving coordination between development, marketing, and support teams. Essential for managing the rollout and communication of new features to users.

MVP

Minimum Viable Product (MVP) is a version of a product with just enough features to be usable by early customers who can then provide feedback for future product development. Essential for validating product ideas quickly and cost-effectively, allowing teams to learn about customer needs without fully developing the product.

MRD

Market Requirements Document (MRD) is a comprehensive document that outlines the market's needs, target audience, and business objectives for a product. It serves as a crucial tool for aligning product development efforts with market demands and business goals, ensuring that the final product meets customer needs and achieves market success.

ModelOps

ModelOps (Model Operations) is a set of practices for deploying, monitoring, and maintaining machine learning models in production environments. Crucial for ensuring the reliability, scalability, and performance of AI systems throughout their lifecycle, bridging the gap between model development and operational implementation.

JAD

Joint Application Development (JAD) is a collaborative approach to gathering requirements and designing solutions in software development projects. It facilitates rapid decision-making and consensus-building by bringing together key stakeholders, including users, developers, and project managers, in structured workshop sessions.