From food insecurity to philanthropy, from housing to higher education, we've seen our partners do incredible work in their communities this past year. Here is a glimpse into the ways SWIM got to help clear the fog for 8 wonderful, community-transforming organizations in 2025.
Read MoreAt SWIM, we create custom strategic plans for more than a dozen organizations per year in the anti-hunger, health care, higher education, economic well-being, and philanthropy sectors. Here’s how we do it.
Read MoreWhen centering our information-sharing on building relationships, we can create stronger partnerships in a shorter time, because we all hold collective accountability for the meaning behind the numbers. Here are four intentional ways to use data to create stronger partnerships, using examples from our client base.
Read MoreLearn how Shared Accountability, a SWIM framework, helped a community college district get more done and strengthen relationships.
Read MoreStacy Van Gorp, who did her Ph.D. in trust-building, is going to show you how to build trust through explicit expectation-setting in your organization.
Read MoreAvoid burnout as you work on strategic planning by using the Adapt, Accelerate, Release, Add framework. You’ll integrate your current work with your new goals with this efficient approach.
Read MoreFood bank leaders created 60+ AI use cases in SWIM’s AI cohort. See our top 5 favorites (with prompts you can try today) and download the full list.
Read MoreDiscover 4 creative nonprofit partnerships, from food banks teaming with DoorDash to teens learning finance, proving collaboration fuels impact.
Read MoreLately, it feels like you can’t go a day without hearing the phrase “data-driven.” It’s become a kind of shorthand for being strategic. But in reality, organizations are not “data-driven”, they are driven by people and systems. Because data and information are never neutral, they are created through people’s choices, influence, perspectives, and power. What questions get asked, whose voices are heard, how stories are told, and what is left out all shape the data we use.
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