Suggested questions

1The Role of Data in Higher Ed – How can predictive analytics help colleges make smarter decisions about enrollment, financial aid, and student success?

2The Changing Landscape of Admissions – With declining enrollment and shifting student demographics, how should colleges adapt their admissions strategies to stay competitive?

3Rethinking College Affordability – The high-price, high-discount tuition model is widely criticized—what alternative financial strategies should institutions consider to ensure sustainability and accessibility?

4Equity in Admissions – How can colleges use data to reduce bias in admissions and create a more inclusive process for underrepresented students?

5Data-Driven Decision-Making vs. Institutional Tradition – Many colleges still rely on outdated models and gut instinct when planning for the future. What are the biggest barriers to adopting a data-first approach, and how can institutions overcome them?

6The AI Revolution in Higher Ed – AI is reshaping many industries, but what role should it play in higher education? Can AI-powered analytics improve enrollment and student success?

7From Consulting to Scalable Solutions – HAI Analytics has transitioned from a boutique consulting firm to a tech-enabled platform. What lessons have you learned from scaling a service-based business into a software-driven company?

8The Future of Work & Higher Ed’s Role – The job market is changing rapidly due to automation and AI. How should higher education institutions evolve to prepare students for the future workforce?

9Women in EdTech & Leadership – As a female entrepreneur in a male-dominated industry, what challenges have you faced, and what advice do you have for other women looking to lead in tech and data-driven fields?

10Data-Driven Leadership – You talk a lot about using data to improve decision-making in education, but how can business leaders apply those same principles to their own organizations and leadership strategies?