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 tasks like finding bugs or increasing conversions. Their work is curated using ratings and profiles, and they perform best when given context, feedback, and treated as valued co-workers rather than task masters.