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1、Dont Get Ghosted:Designing and Implementing an Enrollment Prediction ModelAndrew LaVeniaColumbia University School of Professional StudiesMarialejandra Chuy SilvaColumbia University School of Professional StudiesMichelle VakmanColumbia University School of Professional StudiesDavid DysartPitzer Coll
2、egeDont Get Ghosted:Designing and Implementing an Enrollment Prediction ModelAndrew LaVenia,Associate DirectorMarialejandra Chuy Silva,Assistant DirectorMichelle Vakman,DirectorThe problem But first,a story!Ghosting:when someone cuts off all communication without explanation.“Most of us think about
3、it in the context of digital departure(.)but it happens across all social circumstances(.).A ghost is a specter,something we think is there but really isnt.Weve all probably acted like this if were honest.Weve all probably been ghosted,too(.).These are supernatural times.”-Adam Popescu.Columbia SPS:
4、Who We Are One of 17 schools at Columbia University 18 Masters programs 25 visiting,certificate,and non-degree programs Multiple Pre-College and High School programs 10 American Language Program offerings Over 11,000 students Fall,Spring,and Summer intakes!Slate users since 2019Exploring tangible ac
5、tions Other teams concerns and needs Identifying common threads With X number of admitted students,and Y number of students ghosting us:what steps could we take to better report on the likelihood of enrollment?The solution?The“Ghost”field!Buthow to track this?Butwhere will this live?Buthow will this
6、 impact reporting?Butwill anyone know what were talking about?!?!How can we actually track likelihood to enroll?Step 1:Clean dataStep 2:Post-decision statusStep 3:Identify enrollment indicatorsStep 4:Build it outPost decision statusesThe result:Applicant Engagement tabThe result:“Viability”table on