The facilitated applied-learning sessions represent one of the highest value elements of the symposium—the chance to work collaboratively with peers at other associations and with seasoned consultants who, collectively, have helped hundreds of organizations transform their businesses. Faculty will present relevant content and context and then guide participants in working together to solve a problem or develop innovative opportunities in situations highly relevant to their everyday work. We’ll draw on actual situations and scenarios shared in advance by symposium participants and integrate them into group work.
Learners will be assigned to intentional (not random) groups and attend the app labs in cohorts that will foster a sense of meaningful peer learning.
- Generating and Leading Innovation (facilitated by Seth Kahan)
How can we develop new educational offerings that stand out from competition, stay within budget, and meet learner needs more effectively? How can we ensure key stakeholders across the organization—staff, board, and members themselves—will embrace new approaches to learning?
- The Data-Driven Learning Business (facilitated by Celisa Steele and Wes Trochlil)
What can we learn from our data that will help drive the future of the business? How can we know if we’re connecting with the right customers in the right way? How do we know we’re creating significant value?
- Marketing Mastery in the Evolving Learning Landscape (facilitated by Jeff Cobb)
What new channels/segments are open to us? How could we position and promote more effectively? How can we price educational offerings to make them as attractive as possible—without succumbing to downward price pressure?
The sessions will be repeated across the two days so all attendees participate in each app lab.
The real world is complex, and most challenges and opportunities require collaborative, cross-functional thinking and access to expert insight. Attendees will have the chance to apply their experience and what they learn in the morning to deal with situations that come as close as possible to real-world complexity.