In every industry data is analyzed to measure success, but
what determines success in a nonprofit? What should you be measuring? Of course
it will vary among different companies. Let’s look at a specific company to
determine what should be measured.
American Cancer
Society
The American Cancer Society is an organization dedicated to cancer
treatment and prevention, funded by the money raised at the various fundraising
events hosted by the organization. With the numerous amount of fundraising
events the American Cancer Society hosts, there is an enormous amount of data
in which they can measure their performance, however, we are going to focus on
their main event, Relay for Life. Relay for Life has community walks in 27
different countries around the world. Volunteers walk in honor of loved ones
they lost to cancer, to honor cancer survivors, and raise awareness about the
American Cancer Society.
Data Measurements
In a charity walk foundation, what should we be measuring? You
may not realize that you can measure the performance of a charity walk. It is
actually simpler thank you think. Here is a short list of the data we should be
looking at:
- Number of people registered
- Number of walks per year
- Number of walks per state
- Number of people registered vs. number of people who actually attended (attrition rate)
- Number of repeat walkers each year
- Growth of attendees in 2016 vs. 2017
After analyzing the data, that is listed above; you can
understand which walks had a high attendance, which walks had high attrition,
the growth of attendance year over year…etc. Now you need to ask yourselves why
you received these results. Some walks may have high attrition due to the
weather; the reason many people didn’t attend the walk could be because they
didn’t want to walk in the rain. How about the walk that had less attendees
this year than last year… was it advertised less? It is important that you have
this data, and understand it, and use it to make improvements for a more
successful event in the future.
I agree - data is only as good as it's use!
ReplyDeleteGreat information, thanks for sharing.
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