NAVIGATE: Population Health Dashboard
The Population Health Dashboard gives a snapshot of the academic progress of currently
enrolled undergraduate students. It also provides the ability to drill down and identify
groups of students who may need additional academic support.
Training Guides
Population Health Feature Guide
Frequently Asked Questions
Why do I see 'No Data' on my dashboard?
If your institution is not sending Navigate the necessary data for Population Health Dashboard, we cannot provide the report (e.g., if your institution has not completed the launch of its predictive model, related visualizations will be blank in PHD). This may also occur briefly each day as we load in new data, depending on the size of files we are loading to your dashboard. Please talk to your Application Administrator if you have further questions.
When is data loaded to the Population Health Dashboard?
At least 6 years of historical data is loaded to the Population Health Dashboard. It is updated nightly. However, the Population Health Dashboard is developed in a separate application from the rest of the Navigate platform; as a result, data is first loaded nightly from your SIS into Navigate, and then loaded the following night into PHD. This means that if a student updates her major in your SIS on Monday, that change will appear in Navigate on Tuesday, and in PHD on Wednesday.
I looked at the PHD this morning and everything worked well, but this evening it says 'No Data'! How could it have been working this morning and now not working at all?
This is expected behavior. Our bundles run overnight (starting at 8pm), and the only time the dashboards are unstable is when the data uploads are in process. It is usually a fast process, but it can take up to an hour for some larger schools. If it is evening and your dashboards look different than you expect, wait until the next morning, and you should see stable data again.
Which Cumulative GPA is being used?
We are picking up the GPA as of the students’ most recent term. Whether it is "Institutional" GPA or a GPA that includes data from other institutions will be based upon your school's configurations. Please contact your Application Administrator if you have questions about which GPA you are using.
Why am I seeing different enrollment numbers in Advanced Search and Population Health Dashboard?
There are a few potential reasons. The most likely one is that Population Health Dashboard does not include students who have withdrawn from the term, while the Advanced Search does include them.
Why do I see a concentration or major in the drop-down that makes no sense with my college selection?
The filtering works differently in the Analytics dashboards and reports than in Advanced Search. In Advanced Search, if you select the College of Health Sciences and then go to the Major drop-down, you'll only see majors within that college. In PHD, you will see majors that students within the College of Health Sciences have been enrolled in. For example, Student X could be enrolled in pre-Nursing, and could have been enrolled at one point in a Spanish major, and you'd see those both appear in the drop-down when you select the College of Health Sciences because both of those are in her academic record.
What is logic behind Repeated Courses in Population Health? Why is this different than the number on the student profile?
This chart counts total repeat courses (not distinct repeat courses) per student for repeat courses per term. The student profile counts distinct courses that have been repeated.
Example: Student X takes Math 101 three times and takes English 101 twice. Her student profile will show two distinct repeat courses, and PHD will show five repeats for her.
What is the logic behind Withdrawn Courses in Population Health? Why is this different than the number on the student profile?
This chart's count is updated/reflected as soon as the updated information is received from your institution to our systems (including if the term is in session) i.e., it is not the total count as of enrolled term selected.
Example: Enrolled in Spring 2018 is selected, and Student X just withdrew. This count will be reflected IF your institution has updated this information in the nightly feeds, and the following day for our dashboards even if Spring 2018 is currently in session.
What is the logic behind the count of Major Switches in Population Health?
The count is calculated based on change in major only, and NOT major and college combination.
Example: If a student switched from Major=Undeclared in School of Medicine to Major=Undeclared in School of Nursing, it is not counted as a major switch.
What permissions apply to the Population Health Dashboard?
Anyone who has access to the Population Health Dashboard will see the information for the entire institution. Be mindful of who you are granting access to these dashboards, especially if your institution has sensitivities around data for specific populations.
Right now, I see Enrollment History term options of 2017 (Winter/Spring/Summer/Fall) – when would 2018 term data for Winter/Spring be available? How does that logic work?
We will provide terms back in time for the last year. This will update as the platform moves through terms.
For the 'Not Enrolled in Next Term' filter, it will show terms that begin within the next 6 months from the current date. However, the options for additional terms will only show once we are receiving data for those future terms in the nightly files. For example, early in the Spring term we will not see an option to view enrollment in the future Fall term yet, because no student has enrolled in that term (meaning we are not receiving term data yet). It will appear once we receive records of students enrolling in that upcoming term.
Are "inactive" students part of the Population Health Dashboard?
Inactive students will be included based on the active logic dictated by your specific institution. There is an 'Active' filter included in the Dashboards that would allow you to include them or filter them out. However, the primary use case for the Dashboards is to intervene with currently enrolled students, not inactive students. Because of that, the default for the Active filter is to only include 'Active' students. You have the option to include Inactive as well. If you have questions about your institution's active logic, contact your Application Administrator.
If you filter on a previous semester in the Enrolled In column (ex: Spring 2017) in the Population Health Dashboard, does the data that returns show ALL students who were enrolled in that semester (who may have now graduated or not enrolled in the current term) OR does it show all students who were enrolled in Spring 2017 who are also enrolled in the current term?
The total is ALL students enrolled in Fall 2017, regardless of their current enrollment in the Spring 2018 term.
Why do I see the 'Institution' benchmark showing as higher than 'Your Students' in the dashboard if I have not selected any filters?
The filters default to showing 'Active' students, so the numbers for 'Your Students' and 'Institution' can be different before you have selected other filters.
When I export a bucket/list of students, I see this option for line/bar/pie graphs but so far I haven’t found a list where this feature really makes sense or looks logical - it seems like the table of students is what is best. Are there examples you have where the line/bar/pie graphs are best use case? I just want to make sure I’m not missing an exciting feature!
We have developed the Population Health Dashboard in a separate application from the Navigate platform. These links are a standard option within the application in which we have developed the Dashboards and we cannot turn those features off right now due to limitations of that user interface. We recommend that you ignore the chart options.
Regarding the number of Ds/Fs chart, are non-credit courses counted in those buckets if my institution gives grades for those courses?
Yes. The grade count is coming from the total Ds or Fs granted and does not account
for credit versus non-credit courses.