Education
Stop losing teachers to burnout you could see coming
HR records, class assignment data and PTO history connected to surface overload patterns before they become resignations.
Why this decision matters.
Teacher and faculty attrition mid-year is disruptive out of proportion to its cost, because coverage has to be improvised and student outcomes suffer. The load that produces it is usually visible in scheduling data a term earlier.
The failure mode is a load model that counts sections and ignores everything else: preparation variety, class size, substitute coverage absorbed, and the administrative duties distributed informally. Two staff with identical section counts can carry very different loads.
Rebalancing while it is still a scheduling decision costs almost nothing. Replacing a departure mid-year costs recruiting, coverage, and continuity that cannot be bought back.
Comparing tools for education? See how SIGNLD compares with Power BI. For the underlying numbers, read coach labor against enrollment revenue.
How SIGNLD answers it.
Step 01
Connects to your source systems
Read-only access to the scheduling and load sheets your administrators maintain (Google Sheets), staff coordination channels (Slack), and your student and course data store (PostgreSQL).
Step 02
Builds the graph across those systems
Staff, sections, preparations, class sizes, coverage events, and administrative assignments are linked so real load is comparable across people rather than counted in sections.
Step 03
Returns a ranked brief
The brief ranks staff and departments by sustained overload, identifies the assignments driving it, and recommends the load or coverage change that relieves the most pressure.
Reads from.
SIGNLD connects read-only to your existing systems. 800+ integrations available.
What the brief looks like.
The question
Which teachers are at the highest attrition risk before the end of the school year?
What SIGNLD found
7 teachers are carrying class loads 30% above their contract baseline with no supplemental compensation logged. 3 of the 7 have not taken any PTO since the start of the school year. Two submitted accommodation requests in the last 60 days that are still unresolved in HR. The combination is a reliable attrition signal based on prior departure patterns.
Evidence
- 7 teachers at 130%+ of contracted class load with no supplemental compensation
- 3 of 7 with zero PTO since school year start
- 2 unresolved accommodation requests in HR, both over 45 days old
Recommended move
Resolve the 2 accommodation requests this week. Schedule 1:1s with all 7 overloaded teachers. Review whether supplemental pay or course reassignment is possible for Q2. Mid-year replacement cost per teacher: $12K-$18K including sub coverage, recruiting, and onboarding.
44% reduction in mid-year teacher attrition
Illustrative brief. Figures are sample data, not customer results.
Questions.
More decisions in Education.
Education
Know which students are likely to drop before they do
Enrollment records, attendance data and financial aid status connected to flag retention risk while there is still time to intervene. 14 students show a combined risk profile: attendance below 70%, financial aid status flagged for verification, and no advisor contact in the last 30 days.
Read the decision →Education
Find out which programs are moving graduation rates and which are not
Academic performance data, program enrollment and advising records connected to trace which interventions actually produce outcomes. The tutoring program shows no measurable impact on graduation rate for students who use it fewer than 4 sessions per term.
Read the decision →Education
See which students are about to lose financial aid eligibility
GPA records, credit completion data and aid requirements connected to flag eligibility risk before the academic deadline. 22 students are on track to fall below the SAP (Satisfactory Academic Progress) threshold by end of term based on current GPA trajectory and credit completion pace.
Read the decision →Run this decision on your own data.
Free Forever plan. Full 14-day Growth trial. No credit card.