Is institutional research supposed to be “Switzerland”? Many data professionals are taught to stay perfectly neutral — to present the numbers and step back. This episode asks whether that neutrality is really possible, or even desirable.
Host Debbie Phelps sits down with Jeremy Goodman, founder of Jeremy Goodman Consulting and former vice president at Olin College of Engineering. Drawing on a background that spans both theater and higher education, Jeremy explains how improv techniques — especially active listening and audience empathy — can transform the way data specialists present findings to campus stakeholders.
Together they explore how to bring your own perspective to the work without sacrificing professional credibility, the real-world consequences of rigid data categories, why meeting audiences at their current level of data literacy is the key to strategic change, and how an often-introverted field can do a better job of welcoming newcomers who are wrestling with imposter syndrome.
Key takeaways
The myth of “Switzerland”: Why pure neutrality in institutional research is harder to achieve — and less useful — than many data professionals assume.
Improv for data people: How active listening and audience empathy help data specialists present findings that actually land with campus stakeholders.
Perspective with integrity: Integrating your own point of view while protecting the professional credibility your role depends on.
Categories have consequences: How rigid data categorization systems shape outcomes for the real people behind the numbers.
Meet audiences where they are: Adjusting your presentation to your audience's data literacy level to drive strategic change.
Welcoming newcomers: Recognizing the introverted culture of IR and making room for new professionals experiencing imposter syndrome.
Topics covered
Neutral data
Objectivity
Improv
Active listening
Audience empathy
Data communication
Data storytelling
Professional credibility
Data categorization
Data literacy
Stakeholder engagement
Strategic change
Imposter syndrome
New IR professionals
Institutional research
Data culture