Not-for-profits are increasingly interested in how Large Language Models (LLMs) and Generative AI can help them achieve more with finite resources. This Connections article explores the use of cross-functional "improvement teams" to vet these novel technologies. By leveraging a formal charter, senior-leader champions, and subject matter experts, organizations can move past the hype to find objective, data-driven solutions for their specific missions
A manager's experience reveals that team success hinges on navigating different "life stages." Initially, an experienced, high-performing team was a "well-oiled machine" that quickly left for promotions. This led to a team of all "newbies" who, despite needing intense training, brought vital fresh energy and innovative process improvements. The author now favors the "Half and Half" approach—a mix of tenured and new staff—which balances institutional knowledge with fresh perspectives. However, it requires intentional effort to ensure equitable development. Discover why managing these different compositions—from high-speed efficiency to urgent training needs—is the key to sustained success in a constantly changing environment.
Couldn’t make the conference or listen to the recording? No need for FOMO! This article brings the conference experience to you!
The 2025 Apra Debates focused on three critical prospect development issues: data access for fundraisers, the problem of too much data, and AI readiness. Debaters weighed data transparency against the need for expert interpretation, and the strategic value of comprehensive data against the risk of "analysis paralysis." While the audience leaned toward compromise on access and adopted an optimistic view of AI, the session underscored a core theme: prospect development professionals must remain strategic, adaptable, and focused on continuous learning to navigate the evolving industry landscape successfully.