By Michael Macias, Product Manager
In another life, I ran a team of college finance counselors. What I was always really grateful for was how my team took such pride in response times. One of the key components to serving our students in a timely fashion was our file-review process. We considered this the timeframe that stretched from when we received all the documents needed to complete the ISIR review, to the time we either closed the file for awarding—or came back to notify students of additional requirements.
Visualize File Review Cycle Times to Support Student—and Staff—Success
Now, there’s StudentFormsSM, which organizes file-review workflows in a first-in, first-out (FIFO) manner to help streamline response times for completing reviews. Plus, when you’re empowered with CampusMetricsSM behind the scenes, you can look further into workflows to see just how fast your team members are working through their files.
Among CampusMetrics’ many Instant Insights, the Overall Cycle Time for Review insight allows you to see, and compare, the average cycle time of the review process over the past six months. Data visualization enables you to quickly view timeframes from the moment a student’s transaction moves to “Reviewing File” status, to when it moves forward to “Processing Corrections/Verified,” or pushed back to “Re-collecting Documents” which requires student to take additional action.
You’ll see how quickly students’ files are reviewed while your team celebrates how quickly they can serve students.
Data Visualization for Even More than File Review Processes
Throughout the entire student financial services journey, CampusMetrics reveals insightful and actionable business intelligence with a comprehensive gallery of prebuilt insights, including:
- ISIR Insights
- Operational Insights
- Award Letter Insights
- NPC Insights
These insights can help you better understand student populations, drive enrollment, make policy decisions, and adjust services to meet students’ needs. Adhering to all regulations, CampusMetrics uses aggregated, de-identified ISIR data to develop actionable trends and insights.