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.
A term used to describe an organization focused on continuously shipping new features, often at the expense of quality, user experience, or business value.
The risk that the product cannot be built as envisioned due to technical limitations, resource constraints, or other practical challenges.
A cognitive bias where individuals or organizations continue to invest in a failing project or decision due to the amount of resources already committed.
A cognitive bias where people seek out more information than is needed to make a decision, often leading to analysis paralysis.
A cognitive bias where people perceive past events as having been more predictable than they actually were.
A phenomenon where users fail to notice significant changes in their visual field.
A method of splitting a dataset into two subsets: one for training a model and another for testing its performance.
A cognitive bias that occurs when conclusions are drawn from a non-representative sample, focusing only on successful cases and ignoring failures.
A product development methodology that emphasizes shaping work before starting it, fixing time and team size but leaving scope flexible to ensure high-quality outcomes.