Expertsourcing involves crowdsourcing problems to experts rather than the general public. It requires specialization in a field and the use of data and analysis to make iterative, data-driven decisions. Experts are paid based on their performance on individual tasks and use tools to work efficiently. Their work is curated based on ratings and profiles to ensure high quality. For expertsourcing to be effective, experts must be given context, feedback, and support to feel like valued co-workers rather than task masters.