# data[].attributes.headline
How will we ensure timely follow up with students in red.

# data[].attributes.subject
How will we ensure timely follow up with students in red.

# data[].attributes.headline
That there are more students in red and yellow. (SS)

# data[].attributes.subject
That there are more students in red and yellow. (SS)

# data[].attributes.headline
How do we prioritize our interventions to the highest need students?

# data[].attributes.subject
How do we prioritize our interventions to the highest need students?

# data[].attributes.body
Steps: 1: Email twice per term; 2: ....

-Break them up by major? e.g., Minodora/Liza send out email to high risk Coms students
-Start with high risk?

# data[].attributes.body
The number of students we have that are successful/green (STEM)

# data[].attributes.body
IS this caseload a true representation of our STEM population?

# data[].attributes.headline
We are concerned about the number of students who dropped from full-time to part-time. (SS)

# data[].attributes.subject
We are concerned about the number of students who dropped from full-time to part-time. (SS)

# data[].attributes.headline
If early alerts are not factored in as part of the success score, then it is not a "accurate" success score.

# data[].attributes.subject
If early alerts are not factored in as part of the success score, then it is not a "accurate" success score.

# data[].attributes.body
Most of our students in red for (BIS) identify as Male & have no FAFSA/Dream Act on file

# data[].attributes.body
Exploring the weight of each risk-factor and how that plays into the students scoring (STEM)

# data[].attributes.body
Disaggregate the correct STEM Data

# data[].attributes.headline
FACH: Can we weight English 101 completion higher?

# data[].attributes.subject
FACH: Can we weight English 101 completion higher?

# data[].attributes.body
From some work I've done for persistence, previous grade may be a potential factor.

# data[].attributes.headline
High number of students in yellow and red. (SS)

# data[].attributes.subject
High number of students in yellow and red. (SS)

# data[].attributes.body
How many students are using the STEM Center?

# data[].attributes.headline
Case management approach based on success score; there should be a summary page to quickly access the components of the success score.

# data[].attributes.subject
Case management approach based on success score; there should be a summary page to quickly access the components of the success score.

# data[].attributes.body
Utilize call center/support staff and schedule follow-up with students (BIS) dig deeper and refer/assist accordingly.

# data[].attributes.body
There are human errors or technology errors that may impact these risk factors. For example, registration ticket times/dates.