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.
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.
An ongoing process of learning about user needs and validating assumptions through continuous research and experimentation.
ModelOps (Model Operations) is a set of practices for deploying, monitoring, and maintaining machine learning models in production environments.
A user experience design methodology focused on rapid iteration, collaboration, and learning through experimentation.
The practice of quickly testing and iterating on ideas to validate assumptions and learn from user feedback in a short time frame.
Minimum Viable Feature (MVF) is the smallest possible version of a feature that delivers value to users and allows for meaningful feedback collection.
An agile methodology that separates product discovery and product delivery into parallel tracks to ensure continuous learning and delivery.
Dynamic Systems Development Method (DSDM) is an agile project delivery framework focused on delivering business value early and continuously.
A structured routine for continuous improvement based on a scientific approach to problem-solving and process optimization.