Many RFPs ask for data that simply doesn’t exist—presumably because the people writing the RFPs don’t realize how hard it is to find phantom data. But other RFP writers realize that data can be hard to find and thus offer a way out through a magic word: “estimate.”
If you see the word “estimate” in an RFP, you can mentally substitute the term “make it up.” Chances are good that no one has the numbers being sought, and, consequently, you can shoot for a reasonable guess.
Instead of the word “estimate,” you’ll sometimes find RPPs that request very specific data and particular data sources. In the most recent YouthBuild funding round, for example, the RFP says:
Using data found at http://www.edweek.org/apps/gmap/, the applicant must compare the average graduation rate across all of the cities or towns to be served with the national graduation rate of 73.4% (based on Ed Week’s latest data from the class of 2009).
Unfortunately, that mapper, while suitably wizz-bang and high-tech appearing, didn’t work for some of the jurisdictions we tried to use it on, and, as if that weren’t enough, it doesn’t drill down to the high school level. It’s quite possible and often likely that a given high school is in a severely economically distressed area embedded in a larger, more prosperous community is going to have a substantially lower graduation rate than the community at large. This problem left us with a conundrum: we could report the data as best we could and lose a lot of points, or we could report the mapper’s data and then say, “By the way, it’s not accurate, and here’s an alternative estimate based on the following data.” That at least has the potential to get some points.
We’ve found this general problem in RFPs other than YouthBuild, but I can’t find another good example off the top of my head, although HRSA New Access Point (NAP) FOAs and Carol M. White Physical Education Program (PEP) RFPs are also notorious for requesting difficult or impossible to find data.
If you don’t have raw numbers but you need to turn a proposal in, then you should estimate as best you can. This isn’t optimal, and we don’t condone making stuff up. But realize that if other people are making stuff up and you’re not, they’re going to get the grant and you’re not. Plus, if you’re having the problem finding data, there’s a decent chance everyone else is too.