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REDI FAQ

REDI FAQ

Updated April 2021

GENERAL


How will the Kauffman Foundation use these data?

The data will serve as a learning tool for the Foundation. Program associates will review the data in the aggregate at the portfolio, strategy, and program-area level to better understand who is being funded and whether it is reaching our intended beneficiaries. These data will not impact your likelihood of receiving funding.

How did you determine which demographic questions to ask and/or which response options to include?

To reduce redundancy and the workload on potential grantees, we based our data collection instrument on the common set of questions asked by Candid (formerly Guidestar) for their nonprofit profiles. Read the demographic data collection guide by Candid >

Does the Kauffman Foundation report its own data? 

Yes! You can find data on the race/ethnicity and gender identity of our board of trustees, senior leaders, and associates here. While we do not currently have data collected on our targeted beneficiaries, we expect to have and report these data by the end of the 2021.

Who will have access to the data you are collecting? 

If your Candid profile includes this information already, then it is available to anyone with a GuideStar Pro subscription. However, if you choose to report these data to us on your grant application, then it will be available only to associates at the Ewing Marion Kauffman Foundation.

Where should I go if I have additional questions about how to collect or report these data for my organization? 

If you have further questions, please reach out to your program officer or contact us.


COLLECTING BOARD AND STAFF DATA 


What if we don’t currently collect these data? 

We recognize that many of our grantees will not be currently collecting some of these data. If that is the case, please do not guess: simply use the “unknown” option in the dropdown. If you’re interested in starting to collect these data moving forward, there are excellent resources available through Peak Grantmaking and the D5 Coalition.

I work at a very large organization (e.g. a university or a school district). Should we report the data for everyone at the organization or only the staff members working on this particular project? 

For large organizations, we are most interested in the demographic data of those who are going to be most associated with the funded project. See two examples below:

Example 1: Grant to a K-12 school for teacher professional development.

  • Grantee: School district
  • Organization’s leader: Principal
  • Senior staff: Assistant principals or other leaders that report to principal
  • Board members: Publicly elected school board

Example 2: Grant to a university professor to conduct and publish research.

  • Grantee: University
  • Organization’s leader: Principal investigator
  • Senior staff: Staff reporting to principal investigator
  • Board members: University board of trustees

Where should we report staff and board demographic data? 

There are a couple ways you can do this:

  • if you have a Candid profile, you can update your profile according to their guidance and we will pull the data over into our system. By modeling our questions after those on Candid, we are hoping to reduce redundancy for grantees.
  • If you have not updated your Candid profile, you can provide the data to us through your grant application.

COLLECTING DATA ON TARGET BENEFICIARIES 


How should we define our “target beneficiaries”? 

“Target beneficiaries” are those individuals who we expect to ultimately benefit from the funded work, recognizing that often this group may be a step or two removed from the direct work of the grant. For example, consider a project that funds teacher professional development. While the direct work of the grant involves providing services to teachers, it is it the students who we expect to ultimately benefit from the project. As such, the student population would make up the “target beneficiaries.” 

Our work impacts a very broad group of people: How should we define “target beneficiaries”?

We recognize that reporting demographic data is going to look very different for a direct-service organization than for an advocacy or research organization. If your work impacts a broad group of people that makes data collection impossible, consider accessing other data resources that allow you to estimate the demographic breakdown of these groups.

For example, if your organization is focused on advocating for low-income students in Missouri, are there Census data or other sources that could provide an approximate demographic breakdown of this group? If your work involves conducting and publishing research, can you estimate the demographics of the individuals your work will ultimately benefit? 


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