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Summer Institute for Educational Fundraising Pre-I ...
Because We-ve Always Done It This Way...Does that ...
Because We-ve Always Done It This Way...Does that Make it Right
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Pdf Summary
This document discusses the topic of alumni engagement and the need for programs and processes to adapt and change over time. The authors identify reasons why programs may be resistant to change, such as comfort, lack of innovation, and analysis paralysis. They emphasize the importance of strategic thinking, leadership, relationship building, and emotional intelligence in driving successful engagement initiatives. <br /><br />The concept of the Mutual Value Proposition (MVP) is introduced as a framework for creating lifelong, mutually beneficial relationships between institutions and alumni. The MVP should describe the specific benefits and outcomes derived from engagement and be adaptable and scalable to different events and programs. Delivering mutually-valuable experiences involves connecting alumni to the institution and to each other, delivering unique content and connections, and ensuring follow-up for success.<br /><br />The document also discusses the assessment cycle for evaluating existing programs and making necessary changes. This cycle involves analyzing and evaluating existing data, identifying gaps and impact, making decisions, defining/redefining/eliminating initiatives, selecting the best ideas based on clarity, usability, stability, scalability, sustainability, integration, and ROI, implementing the chosen ideas, and gathering data for further assessment.<br /><br />Tips for driving change include setting appointments, coming prepared with a clear vision, being prepared for resistance, following up, staying positive, and staying the course. Key takeaways from the document include the importance of data, communication, and keeping the MVP in mind when planning and implementing engagement initiatives.
Keywords
alumni engagement
adaptation
resistance to change
leadership
Mutual Value Proposition
lifelong relationships
mutually beneficial relationships
data analysis
impact
driving change
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