The Problem
Advisors need context,
not just alerts
not just alerts
-
Complex pathways — nonlinear degree paths with minors, certificates, and interdisciplinary interests
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Fragmented data — engagement, grades, and catalog info in separate silos
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Reactive advising — meaningful conversations happen once or twice a semester, not daily when students actually need them
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No root-cause visibility — prerequisite gaps and workload spikes invisible until too late
What Advisors See
Early warning
with explanations
with explanations
The dashboard delivers daily proactive alerts — surfacing who needs attention and why. Instead of reactive semester reviews, advisors get continuous intelligence: risk factors, prerequisite gaps, engagement shifts, and strengths-based opportunities updated every day.
Every day, for every student:
- • Why they're flagged, not just that they are
- • Strengths and opportunities, not just deficits
- • Life context that shapes academic performance
- • Connected advisor team and intervention history
CU
Academic Advising Dashboard
Monitor student progress and coordinate interventions
Last synced: 2 hours ago
Sync Canvas Data
Critical Alerts
Requires immediate attention
5
Early Warnings
Showing signs of struggle
1
Intervention Success
Improved after intervention
78%
Total Students
In your advising cohort
14
MT
Marcus Thompson critical
Computer Science · Sophomore
1.40
Semester GPA
ER
Emma Rodriguez critical
Psychology · Junior
1.80
Semester GPA
JM
Jake Morrison critical
Aerospace Engineering · Junior
1.90
Semester GPA
Example Insights
The system surfaces why, not just who
Prerequisite Gap
“Struggling in Algorithms — weak Discrete Math grade. Prerequisite gap likely contributing.”
Engagement Shift
“3 late assignments after perfect history — sudden disengagement, check-in recommended.”
Strengths Match
“Strong ML-adjacent performance — Data Science minor only 2 courses away.”
Workload Alert
“18 credits + new part-time job — may exceed sustainable threshold.”
Who This Serves
Three roles,
one shared graph
one shared graph
🎓
Students
Navigate complex degree paths, discover minors and certificates aligned with their interests, see prerequisite chains before enrollment
👥
Academic Advisors
Scale authentic connection across 300–500 students — daily proactive alerts replace once-a-semester check-ins with continuous, contextual support
📚
Faculty & Administrators
Update curriculum to match university goals and market-ready outcomes — see where prerequisite gaps cause downstream failures
Student Detail
MT
Marcus Thompson
Computer Science / Data Science · Sophomore · ID: 108234567
×
1.40
Semester GPA
2.80
Cumulative GPA
15
Credits
100
Risk Score
✉ Email Student
📅 Schedule Meeting
Overview
Courses
Interventions
History
🎓 Academic Advisory Team
Sofi Alarcon Escallada Primary Advisor
Computer Science · ECOT 717
Cole Gladhart Minor Advisor
Mathematics · Math 240
📚 Life Context & Key Events
💼 Employment
25 hrs/week
The Sink Restaurant · off-campus
🏠 Housing
Off Campus
15 min commute
How It Works
From fragmented data
to connected context
to connected context
Threshold builds a knowledge graph from existing university data sources. Each data point gains meaning from its connections to everything else. Connects via standard Canvas LTI integration — no custom infrastructure required.
Canvas LMS (LTI)
Transcripts
Course Catalog
Advising Notes
Organic Chemistry
History
Communications
Sociology
Music
Philosophy
Discrete Math
Structural
Linear Algebra
Biochemistry
Optimization
Networks
Algorithms
Computer Vision
Programming
Machine Learning
Databases
Robotics
NLP
Data Science
Psychology
HCI
Neuroscience
Entrepreneurship
Systems
What We're Exploring
Open questions
-
Canvas integration — what engagement signals matter most for early intervention?
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Advisor workflow — how does contextual intelligence change the advising conversation?
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Curriculum feedback — can prerequisite gap data help faculty identify structural issues?
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Equity & access — does consistent early warning reduce intervention disparities?
Try It Live
See it in action
Scan to explore the live demo, learn about our Canvas LTI integration, or talk with us about bringing Threshold to your institution.
thresholdlabs.io/advising
getthreshold.com
Use Cases in Practice
What this looks like
on campus
on campus
-
Student: “What can I minor in?” Graph shows a CS student is 2 courses from a Data Science minor based on completed coursework and topic overlap
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Advisor: 500+ student caseload Daily proactive alerts surface which students need attention today — turning once-a-semester check-ins into everyday contextual support
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Faculty: curriculum review Prerequisite chain analysis shows that 40% of Algorithms failures trace back to weak Discrete Math foundations
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Accommodations: exam scheduling Student needs extended exam time — system flags scheduling conflicts and suggests adjusted courseload options automatically
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Medical: concussion protocol Recent medical incident triggers coordinated outreach — professor notification, smaller section transfer, and TA support allocation
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Multi-advisor approvals Double major + minor requires sign-offs from 3 advisors and a professor exception — one shared view replaces running across campus for drop-ins
Design Principles
Advisor-in-the-Loop
Supports conversations and decisions — never automates them. Advisors interpret, the system surfaces.
Strengths-Based
Surfaces interests, near-completions, and opportunities alongside risk — not just deficit tracking.
Equitable Access
Consistent early signals for all students reduce information asymmetry across caseloads.
Privacy-First
Operates within existing FERPA frameworks. Student data stays within institutional boundaries.