Design the early alert workflow before discussing retention
Help a student success dean assess data, advisor capacity, and faculty participation.
An early alert platform only works when two things line up. Faculty need to enter data that means something, and an advisor needs enough time to act on what comes through. As an account executive, you can talk about retention outcomes all day, but if you skip past the handoff from a professor noticing a problem to an advisor doing something about it, you are selling a promise you cannot back up. The conversation that actually matters happens before anyone mentions a retention number.
Why this conversation goes wrong
Deans and vice provosts for student success live under pressure to show results. Boards ask about retention rates, enrollment offices want proof that intervention programs pay off, and a sales conversation that opens with a retention projection feels like relief. It gives them a number to bring back to their cabinet. That is exactly why the conversation goes wrong. You end up promising an outcome that depends on variables you have not examined yet, things like whether faculty log attendance consistently, whether advisors carry caseloads that leave room for outreach, and whether anyone has agreed on what counts as an urgent flag versus a routine one.
If you let the dean set the frame around retention, you inherit their assumptions. Most institutions have inconsistent data entry across departments. Some professors log every absence. Others log nothing until a student has missed six weeks of class. Advisors often work from spreadsheets, homegrown reports, or three different systems that do not talk to each other. None of that is a reason to walk away from the deal. It is a reason to map the actual workflow before you let retention enter the conversation at all.
How to prepare before the call
Before you get on a call with a student success dean, find out what you can about their current process. Ask your champion, if you have one, how faculty currently report concerns about a student. Find out whether the institution has an early alert tool already, even an informal one built in a spreadsheet or a learning management system plugin. Ask what happens after a flag gets raised today. Does it go to an advisor, a case manager, or nowhere at all.
Prepare three or four questions that pull the conversation toward workflow instead of outcomes. Good questions sound like this. Which signals are available today and how timely are they. Who receives an alert once it exists. What is that person's caseload, and do they have time built in to respond. What counts as urgent versus routine, and who decided that.
Also prepare to hear resistance. Deans want a number. When you redirect toward process, some will push back and ask you to just answer the retention question. Have a short, calm explanation ready for why you are asking about workflow first. You are not stalling. You are making sure the platform gets built on a process that actually functions, so the number they eventually see is real and not a guess dressed up as a projection.
What to say
Dean Alvarez opens the call by asking, "Will this platform improve our retention rate, and can it catch every student who is at risk?"
You answer, "The platform only works from the data your institution feeds it and the response process you put around it. I cannot promise a retention number today, and no tool can flag every student who needs help. What I can do is help you find out where the gaps are. Which signals are timely right now, and what actually happens after an advisor gets a flag?"
Dean Alvarez explains that faculty enter attendance data unevenly, some diligently and some almost never, and that advisors pull from different caseload reports depending on which department they support.
You respond, "That gives us two real areas to look at, data availability and advisor capacity. Rather than guess at what a workflow should look like, let's map three recent student situations together, with someone from advising, a faculty representative, and someone from IT in the room. We look at what information existed at the time, who had the ability to act on it, and what alert rule would have actually mattered. That tells us more than any retention projection I could give you today."
Dean Alvarez agrees to set up the session and asks how long it usually takes.
You say, "Usually about an hour once we have the right three people in the room. It's worth doing before we talk about numbers, because the exercise tends to surface exactly where the workflow breaks down, whether that's faculty buy in, advisor bandwidth, or just an unclear definition of what counts as urgent."
Mistakes to avoid
The most common mistake is answering the retention question directly, even with a hedge. Saying something like "institutions using platforms like this typically see improvement" hands the dean a number to repeat internally, and now you own an outcome you never actually measured for their institution. Avoid it entirely. Redirect every time.
A second mistake is treating the workflow mapping exercise as a formality you rush through to get to the pitch. Deans notice when you are performing curiosity instead of practicing it. Ask real follow up questions during the mapping session. If a dean says advisors use three different caseload reports, ask which one is most current and why the others still exist. That kind of specific question is what makes the exercise useful instead of decorative.
A third mistake is failing to name the risks the mapping session reveals. If faculty participation is spotty, say so plainly. If advisor caseloads leave no time for outreach, say that too. Deans respect a vendor who names a real obstacle over one who smooths everything into a sales narrative. This same principle applies broadly across education sales conversations. When you start an employer advisory council with clear questions, the goal is the same, get specific information instead of vague agreement, and be willing to state plainly when something will not work as hoped.
How to practice and score it
Before your next discovery call, take a support process your institution contact has already described and sketch the actual route a concern travels. Start with a missing assignment or an absence. Trace it to whoever notices it, then to whoever gets told, then to whoever is supposed to act. Mark every point where data is missing, delayed, or owned by a different team that is not in the room. That sketch becomes your prep sheet for the call.
Score yourself, or have a manager score you, on three things. Did you avoid stating or implying a retention outcome before the workflow was mapped. Did you ask specific questions about data timeliness, advisor capacity, and alert definitions rather than general ones. Did you propose a concrete next step, like a three case mapping session, instead of leaving the conversation open ended.
This is also a good scenario to rehearse before you are on the phone with a real dean. DealSpeak's Education practice conversations let you run this exact exchange against an AI counterpart that pushes back the way a real dean does, asking for a number, resisting the redirect, and testing whether you hold your ground without sounding evasive. The scoring shows you exactly where you slipped into a promise you could not support. If you handle employer relationships too, the same practice library covers related situations, including how to turn employer feedback into a program discussion without overcommitting on curriculum changes.
Close
A retention number means nothing if the workflow underneath it cannot hold up. Map the path from a faculty signal to an advisor action first, name the gaps you find, and let the dean decide whether to close them before you talk about outcomes. That order builds trust that a rushed pitch never will.
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