Your AI Voice agents made the calls. Students connected. Calling goals were achieved.
But what happened next?
Did those students go on to submit their applications? How many eventually enrolled?
For enrollment teams using AI calling, these questions matter just as much as connection rates and goal achievement.
Mio AI Insights now helps institutions track what happens after successful AI calling goals, with two new metrics: Application Submitted and Enrolment Done.
These metrics connect Mio AI Voice performance with application and enrollment data in Meritto, giving institutions visibility into calling performance and subsequent admission outcomes in one dashboard.
Why measuring AI calling performance shouldn’t end at Goal Achieved
AI Voice agents are designed to accomplish specific goals throughout the student enrollment journey.
A Lead Qualification Agent identifies interested students. An Application Follow-Up Agent helps students resume incomplete applications. A Lead Reactivation Agent reconnects with students who have gone quiet.
Each agent has a defined goal, and tracking how often that goal is achieved helps institutions evaluate AI calling performance.
But achieving a calling goal and completing an enrollment milestone are two different things.
Consider an applicant who has started an application but hasn’t submitted it.
Mio AI Voice calls the student, identifies why the application is pending, and captures their willingness to resume. The agent has achieved its calling goal.
But has the student actually submitted the application?
Until now, the Outcome Dashboard primarily helped institutions evaluate calling activity, connections, agent performance, and goals achieved.
With the latest update, Mio AI Insights extends that visibility to subsequent application submissions and completed enrollments.
What’s new in Mio AI Insights?
Two new admission outcome metrics are now available alongside existing AI Voice performance metrics.
1. Application Submitted
Track how many applications were submitted by leads for whom Mio AI Voice achieved its calling goal.
For example, an Application Follow-Up Agent may identify students willing to resume their applications. The new metric helps institutions see how many applications were subsequently submitted by goal-achieved leads.
This provides visibility beyond the initial conversation and into actual application progress.
2. Enrolment Done
See how many goal-achieved leads went on to complete enrollment.
A successful qualification or reactivation call may be an important step in a student’s journey. But institutions also need to know how many of those students eventually enrolled.
Enrolment Done brings that information into Mio AI Insights, helping teams evaluate AI Voice performance alongside completed admission outcomes.
Track AI calling and admission outcomes in one dashboard
With these additions, Mio AI Insights gives enrollment teams visibility across five important stages:
| Metric | What it helps you measure |
|---|---|
| Contacts Attempted | How many unique contacts Mio AI Voice attempted to reach |
| Connected | How many contacts connected with AI Voice |
| Goal Achieved | How many contacts achieved the defined AI calling goal |
| Application Submitted | Applications submitted by goal-achieved leads |
| Enrolment Done | Goal-achieved leads who completed enrollment |
Instead of reviewing calling performance and subsequent admissions progress separately, teams can see these measures together.
This is possible because Mio AI Voice works with the enrollment context in Meritto. As students progress, their application and enrollment information remains connected to the broader student record.
Learn more about how CRM-integrated AI calling connects conversations with student follow-ups.
How can enrollment teams use these metrics?
The new metrics add another layer to AI calling performance analysis.
Identify gaps between successful calls and applications
Suppose an Application Follow-Up Agent achieves its goal with a large number of students, but comparatively fewer applications are subsequently submitted.
That gap gives the admissions team something specific to investigate.
Are applicants still struggling with documentation? Do they need additional counselor assistance? Is there a pending action preventing submission?
The dashboard identifies the gap, while enrollment teams can use their student records and follow-up processes to investigate the reasons.
For more on this use case, explore how AI Voice agents help students resume incomplete applications.
Evaluate admission outcomes alongside agent performance
Connection rates and goal achievement remain important.
They show whether AI agents are reaching students and accomplishing their assigned tasks.
Adding Application Submitted and Enrolment Done allows institutions to evaluate those results alongside the admission outcomes that follow.
For instance, a lead reactivation campaign can be assessed not only by how many students expressed renewed interest, but also by how many goal-achieved leads later submitted applications or enrolled.
Make more informed decisions about AI Voice usage
When institutions evaluate AI Voice, measuring call volumes alone offers an incomplete picture.
Admission outcome tracking provides additional evidence for reviewing the value of AI calling across different enrollment use cases.
Teams can use this information to inform decisions about where AI Voice is helping students progress and where further intervention may be needed.
These metrics show subsequent outcomes among goal-achieved leads; they do not, by themselves, establish that AI Voice caused every application or enrollment.
Where can you find the new metrics?
The two new metrics are available within the existing Outcome Dashboard in Mio AI Insights.
Navigate to: Mio AI Insights → AI Voice → Lead Manager
Here, Application Submitted and Enrolment Done appear alongside the existing calling performance metrics.
The update is being rolled out to eligible higher education institutions using Mio AI Voice.
Frequently asked questions
Can Mio AI Insights track enrollments after AI Voice calls?
Yes. Mio AI Insights now includes an Enrolment Done metric that shows how many leads completed enrollment after Mio AI Voice achieved its calling goal.
What is the difference between Goal Achieved and Application Submitted?
Goal Achieved measures whether an AI Voice agent accomplished its defined calling objective, such as qualifying or reactivating a lead. Application Submitted measures applications subsequently submitted by goal-achieved leads. A completed calling goal does not necessarily mean an application was submitted.
Does the dashboard track applications and enrollments for every lead contacted?
The two new admission metrics specifically track outcomes associated with leads for whom Mio AI Voice achieved its calling goal. They should not be interpreted as application or enrollment totals for every contact attempted.
How does Mio AI Insights connect AI calling with admission outcomes?
Mio AI Voice works with student enrollment context in Meritto. Mio AI Insights brings calling performance together with application and enrollment information from Meritto, allowing institutions to review these outcomes in one dashboard.
Who can use Admission Outcome Tracking in Mio AI Insights?
The new metrics are being rolled out to eligible higher education institutions using Mio AI Voice.
Measure more than what happened on the call
AI calling performance matters. So does what students do afterward.
With Application Submitted and Enrolment Done, Mio AI Insights extends measurement beyond calling activity and goals achieved to the admission outcomes that follow.
For institutions looking to understand the contribution of AI Voice across the enrollment journey, that means greater visibility into student progress and more information to guide future decisions.
Explore Mio AI Voice and see how goal-driven AI calling connects with student enrollment outcomes.