Hi Audrey,
At Notre Dame, we use the proposal information from Cayuse to determine success rates. The formula we use is:
Proposals Funded divided by the sum of Proposals Funded and Proposals Not Funded
In other words, the data set includes only those proposals on which we've received a decision from the sponsor. Anything pending is not included. This means our success rates will always run 12-18 months behind due to the time it takes sponsors to make a decision. Our leadership can live with that.
For success by fiscal year, we must wait until a decision is received on ALL proposals submitted... or if the data shows sponsor decisions through a certain month then we sometimes go that route being sure to note on the report that these success rates are only through the month of X in Fiscal Year A.
We do not use award data because many of them are multi-year, and the funding is dispersed over time, some obligated, some anticipated. It can get complicated quickly. We decided instead to keep it simple and not mess with dollars. We use proposals and their status.
This method will also allow you to calculate success rates by dept, by faculty, by sponsor "in pie charts or whatever." As an aside, while I generally hate pie charts, they will work in this case to easily show a split between funded or not funded. :-)
Hope this helps,
Terri
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Terri Hall
Director, Research Business Intelligence
University of Notre Dame
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Original Message:
Sent: 06-16-2021 15:03
From: Audrey Wineglass Foster
Subject: Metrics and Cayuse
Is anyone using Cayuse to determine success rate of your institution's proposals? What metrics are you collecting? We do number of proposals, number of awards, by department, by faculty member and come up with some basic pie charts or whatever. But I'm wanting to look for more ways to evaluate what we do. Is anyone using Cayuse for that? Are there other ways you're evaluating your office?
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Audrey Wineglass Foster
Assistant Dean for OSP + Research Svcs
Gallaudet University
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