Breakfast Club Blog
The BOOST Breakfast Club Blog is a curated space where bloggers from around the world contribute content on a continual basis about a variety of topics relevant to in and out-of-school time. The BOOST Breakfast Club blog is at the heart of an ongoing dialogue where expanded learning and education professionals share their personal thoughts and stories from the in and out-of-school time field. They also tell us what they ate for breakfast!
The BOOST Breakfast Club Blog is Brain Food for In and Out-of-School Time Leaders!
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Hate Your Data? There’s A Toolkit For That!
We’ve all been there. Frustrated with maintaining 15 different spreadsheets, 30-word documents, and 19 Survey Monkey Surveys, a nonprofit leader says, “Enough! Let’s just get a database.” Yes! Finally! A centralized place for all the program’s data will help the team serve clients better and make reporting to funders a breeze. Joy and excitement fade to sadness as the team struggles to fathom how to go about getting a new database, much less implementing one. And the stakes couldn’t be higher: n...Read More
Turn Your Survey Hell into Survey Heaven in Three Easy Steps
Nearly all after-school and summer programs have their kids take surveys, and nearly all programs suffer through the process. Surveys so rarely live up to their promise, and it gets harder and harder to convince staff and youth to complete this annual chore. In my experience as a professional evaluator, surveys almost always have three big flaws that limit their usefulness. Fix these flaws to turn survey hell to survey heaven! Step One: Organize survey questions by theme Think of the three or fo...Read More
Get More from Your Data! Three Steps to Success
The end of the school year is a great time to take stock of your after school program, celebrating what went well and setting course to get even better in the future. It can be tough to wade through the data on hand. Too often, when teams sit down to get clear about what their data is saying, they struggle to figure out what really matters and what do to next. Use this three-step method to make more meaning of your data: Scan Start by getting a 10,000-foot view of your data landscape. This will ...Read More