Metropolis learns from provider indicators and from the answers you provide over time as a Metropolis user. The information we collect allows Metropolis to make better future decisions for your unique candidate pool. Love a candidate? Great! Metropolis will bring more like it to your dashboard. A candidate doesn’t fit what you are looking for? No problem. Metropolis uses this feedback to make your dashboard customized to your preferences.
With Metropolis, you won’t have to worry about competitors pillaging your postings. Metropolis has enough providers to go around. Become a user today to experience a stress-free space to find and track providers.
Metropolis understands data very well because it uses a customized model to make predictions built specifically for this application, by a data science team. This advantageous model allows Metropolis to navigate a corpus of healthcare data while geo-tagging “best predicted” doctors for both doctors and employers.
It works around the clock with providers that are continually on-boarding themselves as candidates interested in metropolitan locations only, the feedback from most doctors tell us that they are tired of the bait-and-switch routines that have become all too standard.
Metropolis wants to be trained by noticing your provider candidate likes and dislikes. Metropolis learns from provider feedback indicators and from the answers you provide over time as a Metropolis user. This part is the most important because the information we collect allows Metropolis to make better future decisions for your unique candidate pool.
Schedule a short demo today to learn more about Metropolis’ advanced sourcing methods and how Metropolis delivers candidates who are motivated to work and live in your metro area.