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.
Why this decision matters.
Graduation and completion rates are reported at the institution level, which is exactly the level at which nothing can be fixed. The loss is concentrated in specific course sequences, transfer points, and program transitions.
The failure mode is investing in broad student success initiatives while the bottleneck is one gateway course, one prerequisite chain, or one advising handoff that loses students every term.
Locating the bottleneck changes both the cost and the effect of the intervention. A sequencing or scheduling change in one course sequence can move completion more than a general program, and it can be evaluated against real cohort data afterward.
Comparing tools for education? See how SIGNLD compares with Tableau. For the underlying numbers, read how operations leaders monitor outcomes continuously.
How SIGNLD answers it.
Step 01
Connects to your source systems
Read-only access to your institutional warehouse (Snowflake), your student and course data store (PostgreSQL), and program tracking sheets maintained by departments (Google Sheets).
Step 02
Builds the graph across those systems
Students, cohorts, courses, sequences, terms, and completion events are linked so progression can be traced through the actual path students take rather than the catalog path.
Step 03
Returns a ranked brief
The brief ranks the points where cohorts lose the most students, explains the pattern at each point, and recommends the sequencing, scheduling, or support change with the largest effect on completion.
Reads from.
SIGNLD connects read-only to your existing systems. 800+ integrations available.
What the brief looks like.
The question
Which student success programs are actually improving graduation rates?
What SIGNLD found
The tutoring program shows no measurable impact on graduation rate for students who use it fewer than 4 sessions per term. Students who use it 4+ times graduate at 18% higher rates. The program is being marketed equally to all at-risk students despite this threshold effect being present in 3 years of data.
Evidence
- Tutoring program users under 4 sessions: no measurable graduation rate difference vs non-users
- Tutoring users at 4+ sessions: 18% higher graduation rate vs comparable non-users
- Current program outreach does not distinguish between session frequency in messaging
Recommended move
Shift program messaging to target commitment of 4+ sessions per term, not one-time participation. Reallocate outreach budget toward students who have completed 1-3 sessions and are likely to continue. Marginal cost of conversion is low; graduation rate impact is documented.
23% improvement in graduation rate attribution
Illustrative brief. Figures are sample data, not customer results.
Questions.
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