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Organizations have key business processes that they are constantly trying to re-engineer. These key business processes – loan approvals, college applications, mortgage underwriting, product and component testing, credit applications, medical reviews, employee hiring, environmental testing, requests for proposals, contract bidding, etc. – go through multiple steps, usually involving multiple people with different skill sets, with a business outcome at the end (accept/reject, bid/no bid, pass/fail, retest, reapply, etc.). And while these processes typically include “analytics” that report on how well the processes worked (process effectiveness), the analytics only provide an “after the fact” view on what happened.

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