One of the biggest challenges for recruiting teams is accurately predicting when a role will be filled, to better anticipate and sidestep the costs of a slow hiring process. Using machine learning, Greenhouse Predicts helps forecast candidate offer acceptance and new hire start dates, allowing Talent, Operations and Finance teams to more easily see around corners, make informed decisions, and effectively communicate timelines. "Greenhouse Predicts helped the recruiting team at Workfront provide better data to the Finance team on our time-to-fill metric," said Greenhouse customer Jana Johnson, Manager of Talent Acquisition for Workfront, which has been part of the beta since the beginning. "As a fast-growing SaaS company, it's especially important that we're able to accurately forecast headcount spend. Before we had Greenhouse Predicts, each recruiter was sharing their'best guess' on when they thought the position would be filled; this method was far less accurate than the algorithm built in the tool."