Got it, brother. Short discussion post. 💛
📝 SHORT DISCUSSION POST (Ready to Copy and Paste):
The Learn from the Data module shifted my thinking from gathering information to interpreting it well. The insight that resonated most was that research often points to outcomes different from what was originally planned — sometimes confirming the new program idea, sometimes redirecting toward enhancing existing programs, and sometimes pointing to continuing education opportunities that hadn't been considered.
The massage therapy school example was particularly instructive. Their research led to four different decisions simultaneously: expanding an existing program, adding the originally planned new program, eliminating two programs that no longer aligned with their identity, and launching continuing education offerings. This kind of comprehensive response to data reflects mature institutional leadership.
The competition section reframed how I think about competitive landscape. Competition is not just other private career schools but includes public colleges, vocational technical schools, adult and community education, corporate training, distance education, and even houses of worship offering training. This broader awareness produces better strategic positioning.
The continuing education insight stood out as well. Short courses for working professionals offer revenue, quick market entry, brand exposure, and a low-risk way to test interest in potential new programs before significant investment.
In my context as College Director at Central Virginia Community College's Amherst Early College Center, the principle of trusting data over assumptions resonates. Even when our instincts about a direction are strong, comprehensive analysis often reveals nuances that strengthen final decisions.
Looking ahead, I intend to apply these principles whenever institutional changes are considered for our Center, recognizing that data interpretation is just as important as data collection.
With Benevolence, Shannon
