The application of data science, behavioral science, and analytics to workforce data to generate insights that improve talent decisions — covering hiring, retention, engagement, performance, and organizational design.
A talent network differs from a talent community in its relationship depth. Community members opted in and receive periodic content. Network members are specific individuals the recruiting team has evaluated, engaged personally, and maintained a direct relationship with over time. The talent network is the highest-quality element of any pipeline because it contains people who have been assessed as strong candidates and with whom the organization has an established, warm relationship. Maintaining a network requires intentional recruiter discipline: periodic personal check-ins, relevant content sharing specific to the individual's career interests, and prompt re-engagement when relevant roles open before the window of interest passes.
What the research says about employee engagement.
Other ways this term appears across industries and languages.
Common questions about employee engagement.