Managing by Metrics
One of the great promises of using CRM for nonprofit program management is the ability to manage by metrics. In theory, if we could track all efforts and all outcomes in a system, then we could uncover those predictive indicators that lead to desired outcomes. We could then make adjustments to the program operations itself to reach those desired outcomes. To a great extent, this is possible, however, it is much more complex than it sounds. One of the root causes of the complexity is the fact that we often are not looking at all of the variables and are only looking at a subset. Making decisions on a subset of variables can sometimes lead to incorrect conclusions. Since I have seen this logic trail unfold a few times, I thought I would share an abstracted example of such a situation.
Take for example, Acme Org, a human services organization that has implemented a robust CRM solution that tracks almost all aspects of it’s program operations. Below is one of the critical reports reviewed by the Executive Team each month:
The organization is considering the use of these metrics for determining promotions, salary adjustments, and bonuses. After initial review, the Executive team expressed concern about Jon’s performance to Jon’s manager. Jon’s manager on the other hand knew that Jon’s metrics were low because he was always thrown on to the toughest cases. Being on the toughest cases each month meant that Jon would have to spend more time with each client and would be responsible for defining new engagement processes for working through complex cases. Unlike the other client service reps Jon spent a lot of time researching and speaking to industry experts to identify best practices that could be used by Acme to help future clients. In short, Jon was expanding the organizational knowledgebase, capacity, and quality of service delivery. Unfortunately, none of this was being recognized in the monthly report. Jon’s manager decided to add a new metric into the monthly report that would help recognize Jon’s efforts. The revised report is below:
The revised report gave the Executive Team more insight into Jon’s efforts and the demands placed on the Client Services staff.
The point of the example is to proceed with caution when using Metrics for Management level decisions. They can be a very powerful tool when well directed; however, there is usually a story behind every piece of data and it is critical that the entire story is understood before program level decisions are made.


