The Problem Isn’t Bad Advisors. It’s a Broken System.

The core issue plaguing college advising isn’t a lack of care. It’s an operational system that forces advisors to be “data analysts, call center staff, policy interpreters, and crisis managers” all at once. Their most valuable expertise is trapped in inboxes, workarounds, and undocumented gut instincts, buried under the logistics of navigating multiple, overlapping systems.

There is a fundamental disconnect between how leadership views advising—through org charts, budgets, and caseload reports—and the student’s lived experience, which is often a series of barriers. Students don’t see utilization rates; they see a system that fails them when they are most vulnerable.

“I reached out. No one answered.” “The next appointment is in three weeks.” “I got sent to three different offices and no one owned my problem.”

The Best Solutions Don’t Start with an Algorithm; They Start with Listening.

Instead of imposing a top-down technology solution, the most effective approach begins by treating advisors as co-designers of the system they will use. This counter-intuitive strategy starts not with an algorithm, but with sitting down with advisors and mapping their real-world workflows, identifying their pain points, and pinpointing where students “fall through the cracks.”

This process uncovers the true mechanics of advising—from the first email or LMS flag to a resolved issue. It treats advisors’ deep institutional knowledge and on-the-ground experience as essential infrastructure, not an afterthought to be addressed during a training session. The philosophy is a simple but profound shift.

We treat advisors as domain experts whose knowledge is critical infrastructure, not as “end users” to be trained after the fact.

A “Digital Twin” Makes Advising More Human, Not Less.

A “digital twin” of advising is a data- and workflow-driven model of your institution’s advising function. Crucially, it is not a chatbot that replaces advisors or a generic risk score on a dashboard.

Instead, the digital twin handles the heavy lifting of logistics. Its key functions include:

• Aggregating signals to spot early warning signs. It pulls in data from the LMS, course registration, and billing systems to identify late-night logins, repeated course drops, and other high-friction patterns that typically precede withdrawal.
• Encoding advisor logic, capturing the “if-then” patterns that experienced advisors use to identify and solve student issues, turning individual experience into a shared, reusable playbook for the entire team.
• Automating repetitive workflows, such as routing cases to the right office and sending reminders. This ensures that when a student raises a hand, the system creates a clear, trackable path to resolution.
• Learning from outcomes by tracking which interventions correlate with persistence and feeding those insights back to improve the model and advising practice over time.

The result is a fundamental change in the advisor’s day. They spend less time digging for data and triaging overflowing inboxes, and more time in meaningful, high-value conversations. The system proposes the next logical step, but the advisor always decides.

For students, this new ecosystem feels like support that arrives when life actually happens. Complex problems get to the right person without delay, and outreach arrives at the moments that matter most. Because the system has already assembled the context, students get advisors who are present, not rushed—able to focus on goals, fears, and options instead of reconstructing history.

The Most Important Data Isn’t in a Spreadsheet.

Experienced advisors develop a form of “hidden expertise”—a set of patterns and gut instincts that allow them to spot trouble long before a GPA drops. This knowledge is rarely formalized or shared, yet it is one of an institution’s most valuable assets.

This expertise includes recognizing subtle cues and patterns, such as:

• “If a student misses this specific milestone twice, I know we’re in danger.”
• “When they phrase an email this way, it usually means there’s a financial or family issue underneath.”
• “Working third shift with a morning lab is the beginning of a downward spiral unless we fix the schedule.”

The true power of a digital twin is its ability to capture this nuanced human experience. It turns the individual wisdom of your best advisors into a shared, institutional playbook, ensuring every student benefits from the team’s collective knowledge.

Conclusion: A System Worthy of Its People

The narrative that advising is “broken” misses the point. Advisors aren’t broken; they have been asked to carry a broken system on their backs. Technology’s best and highest use isn’t to replace them, but to finally give them tools that can manage the immense systemic complexity of their work.

For institutional leaders, this approach transforms advising from a hopeful, necessary service into a visible, investable retention engine. It becomes a measurable, strategic lever for retention and equity, allowing for targeted investments that are directly connected to student outcomes. It frees human experts to do the irreplaceable work that no algorithm can replicate.

And that, the irreplaceable work that no algorithm can replicate will increase retention, completion and the student success we are all working so hard to achieve.