A structured conversation or survey conducted when an employee leaves — designed to understand their reasons for departure, gather candid feedback, and identify patterns that inform retention improvements.
Nanodegrees are distinguished from shorter online courses by their project-heavy curriculum structure: rather than teaching concepts and assessing them through quizzes, nanodegree programs require learners to build real deliverables — code, models, analyses, designs — that demonstrate applied skill rather than knowledge recall. This makes the nanodegree portfolio the most valuable hiring signal: a candidate who has completed a data science nanodegree with 5 reviewed projects shows concrete capability evidence that a certification alone cannot provide. The most common learner mistake is treating a nanodegree as a credential to collect rather than a portfolio to build — employers evaluating nanodegree graduates consistently weight the project work over the credential itself.
What the research says about employee engagement.
Other ways this term appears across industries and languages.
Common questions about employee engagement.