Capital is allocated from the condition of the buildings. Families decide on the walk from the car to the dining hall.
Enrollment teams
Weigh every campus investment against the enrollment yield it moves
A condition assessment scores the buildings. A visiting family meets the arrival, the dining line at noon, and a common space at a live hour. Sena records the visit in the order they meet it, so the capital plan can be ranked by what the visit returns.
The problem
What Sena decides
Which stops on your visit carry the most weight with families, how your campus reads against the institutions you lose students to, and which changes are available before the next admissions cycle.
Industries
Higher EducationK-12 Private SchoolsCorporate CampusesHealth Systems
Who it is for
Enrollment management, capital planning, student affairs, marketing, and institutional research teams at universities, private schools, corporate campuses, and health systems.
Powered by
Sena, the Decision AI from Rwazi.
Decision AI with access to real-world dataThe problem
Higher education enrollment teams and capital planners bring Sena the same question: where the campus money should go, if the point of spending it is enrollment.
The plan is written from the condition of the buildings
A facilities condition assessment scores roofs, mechanical systems, envelope and pavement, and it produces a deferred-maintenance figure. It is the right document for the question it answers, which is what needs repair and in what order. Every line in it describes the health of an asset.
The decision is made on the walk
A family meets the signage from the road, where they were told to park, the length of the walk, who greeted them, the room they waited in, the dining line at noon, and how many seats in the common space were taken. That is the object they are scoring, and the words they use in the car afterwards are about how the place felt.
So two institutions of similar standing can report different yield
Both hold a condition record. The reason sits outside both of them, in the sequence a visitor walked and the hour they walked it. Improving enrollment yield with analytics starts with the variable the model has yet to be handed.
The question is narrow. Which stops decide it, and how does yours read at the hour a family arrives.
How it works
How Sena connects campus experience to enrollment yield
01
Set the campuses and the hours
Name your own campus and the institutions you lose students to in each recruitment market. Then set the hours: a live weekday in term, and a published tour slot. Those are two different places, and a family sees one of them.
02
Send a first-time visitor
Sena Computer Vision walks the sequence a visiting family walks, stop by stop, and records each one. Every stop carries a photograph, the hour, the date and a structured score. The first impression is the measurement, which is why the read stays with people meeting the campus fresh.
03
Ask the families deciding
Sena Consumer Activity reaches prospective students and parents in your recruitment markets for how heavily each stop weighs and which changes would move them toward enrolling.
04
Read it against the yield you already report
You hold admitted-student and yield figures by cohort and by market. Sena returns the recorded visit and the stated weighting as facts, and your team joins them to your own numbers, since the join belongs to whoever owns the applicant pool.
05
Read again around a change
Run the same sequence before a renovation and after it, so a capital line carries a before-and-after read attached to the money it took.
Industries served
Industries and Rwazi capabilities involved
| Industry | Why it applies |
|---|---|
| Higher Education | Core. Yield is the number an admissions cycle is judged on, and the visit is usually the last thing a family does before answering. |
| K-12 Private Schools | The same competition for a small pool of families, decided on a tour walked by a parent and a child together. |
| Corporate Campuses | Offer acceptance and retention respond to the same inputs. A candidate reads the arrival, the food, and whether the floor looks occupied. |
| Health Systems | Facility experience influences where a patient chooses to be treated in a market with several options. Facility-side read only, per the UC-018 boundary. |
Check out Rwazi and Sena capabilities
| Capability | What it does here |
|---|---|
| Sena Computer Vision | Core. Walks the visit sequence at set hours and records each stop with a photograph, an hour and a score. |
| Sena Consumer Activity | Core. Reaches prospective students and parents for the weight each stop carries and the changes that would move a decision. |
| Sena (Decision AI) | Core. Holds the sequence, compares your campus against the set you named, and tracks each stop across reads. |
A property read and a consumer read, both Core. Every input is either a fact about a place or an answer from a family.
The gap
The visit arrives in one order and the capital plan is written in another
Seven stops, in the order a family meets them. Beside each is what a condition record holds for the same place. The two documents describe different objects, which is why they rank a campus differently.
| Stop | What the family meets | What the condition record holds |
|---|---|---|
| 1. Approach and parking | Signage from the road, where they were told to park, how far the walk is, and what they pass on the way. | Pavement condition rating. |
| 2. Reception | Who greeted them, how long they waited, and the room they waited in. | Envelope and mechanical age. |
| 3. The tour route | What the route passes, what it steers around, and whether the corridors are busy. | Corridor finish replacement cycle. |
| 4. Dining at a live hour | The line, the seating, the food, and whether current students are eating there. | Kitchen equipment age. |
| 5. A common space with people in it | Activity level, noise, and how many seats are taken. | Furniture replacement cycle. |
| 6. A residence and a room | The room, the shared bathroom, and the atmosphere on the floor. | Deferred maintenance backlog. |
| 7. Departure | The last thing seen, how they leave, and what gets discussed in the car. | Absent from the record. |
The hour carries as much weight as the stop. A campus at eleven on a Tuesday in term and the same campus in a July tour slot are two different places, and a family touring in July is scoring the second one. Reading both hours is how a team learns which of the two its tour program has been showing.
Ask Sena
SENA
Recent
Visit read · Market 1
Family weighting
Before and after · student center
Data connected 3/4
✓Visit record
✓Family read
✓Recruitment markets
Yield by cohort
Which stops on our visit do families weigh most heavily?
Sena
Families weigh the dining line at noon most heavily, then who greeted them. Signage from the road barely registers once they have found the lot.
Dining at noon
31%
Welcome
24%
Walk from parking
18%
Road signage
9%
Traced to stated weighting + 900 families10 wk
Split the walk by tour slot and live hour
Compare Market 2
Campus map.pdf
Markets
Illustrative interface. Numbers are an example, not a Rwazi result.
Who uses it
Roles and functions
Enrollment management
Core user. Reads which stops carry weight with families in each recruitment market, and takes that into the tour program and the yield plan.
Facilities and capital planning
Puts an experience case beside the maintenance case, so both are on the table when the capital plan is set.
Student affairs
Prioritizes dining and common space by the weight each carries with a visiting family.
Marketing and communications
Redesigns the tour route, and the hour it runs, around the stops that carry the most weight.
Marketing solutions →Institutional research
Holds the yield figures and runs the join, since the applicant pool and the cohort definitions are theirs.
Strategy solutions →Why teams trust Sena
Why teams choose Sena for this
| What you need | What Sena does |
|---|---|
| A first impression, recorded | Sends someone meeting the campus for the first time, since the impression is the thing being measured and a familiar walker has already lost it. |
| The hour, alongside the place | Records a live weekday in term and a published tour slot separately, because a common space at those two hours gives two different readings. |
| The same read on the set you compete with | Runs the identical sequence at the institutions you lose students to, so yield optimization strategies rest on a matched comparison. |
| Your yield stays yours | Sena returns the visit record and the stated weighting. The enrollment yield improvement case is built inside your own numbers, where the applicant pool lives. |
Related use cases
UC · Consumer Understanding
Consumer purchase driver analysis
Understand why shoppers pick one product over another at the point of purchase.
See the use case → UC · Brand & PerceptionBrand perception and sentiment tracking
Hear what shoppers think about your brand in their own words.
See the use case →20-min live walkthrough
Talk to Sena about the campus visit behind your yield rate
Tell us the decision you are weighing, and we will bring the market read to the conversation.
Watch a live demo of Sena Decision AI
See this use case run on a market like yours
Get the questions from your own team answered
Start from your own question
Bring the decision in front of you and we will run the first read against it on the call.
Talk to the Rwazi team
FAQs
01 What is enrollment yield?
The share of admitted students who go on to enroll. A higher education enrollment team reports it by cohort and by recruitment market, and it is the number an admissions cycle is judged on. College enrollment answers turn on many inputs, and the campus visit is usually the last one a family adds before deciding, which is why the visit carries weight out of proportion to the hours it takes.
02 How does improving enrollment yield with analytics work?
A yield model reads the attributes it has been handed: test scores, aid, distance, program, contact history. Improving enrollment yield with analytics is bounded by that list, and the campus visit is usually absent from it, or present as an attended event with a date. Adding a scored record of what a family met on the visit gives the model a variable that moves and that a capital plan can act on.
03 What campus factors influence enrollment decisions?
The arrival and the parking, the wayfinding, who greeted them, the dining at a live hour, the activity level in common spaces, recreation, the library and the places to work, the residence, the outdoor spaces, and the sense of fit that comes out of the whole sequence. Building age and mechanical systems belong on the maintenance plan, where they answer a different question well.
04 How do you measure a campus visit experience?
Send someone meeting the campus for the first time, at a set hour, following a fixed sequence of stops. Each stop is recorded with a photograph, the hour, the date and a structured score. The read stays with first-time visitors because the impression is the measurement, and anybody who works on a campus has already lost the ability to have one.
05 How do you connect campus investment to enrollment yield?
Two inputs meet your own numbers. Sena returns the scored visit for your campus and for the institutions you name, and the weight prospective families place on each stop. Your institutional research team joins both to the yield you already report by cohort and market. Yield optimization strategies for enrollment management in higher education then rank candidate capital lines by what that comparison shows, inside your applicant pool.
06 Do you replace the consultants who build our yield model?
The two sit side by side. Consultants for yield modeling in higher education enrollment management build and calibrate the model, and enrollment yield modeling improves as the attribute list improves. Sena supplies one attribute that has been hard to obtain at scale: a scored record of the campus visit, for your campus and for the set you compete with.
07 How do you benchmark campus experience against other institutions?
The same sequence runs at the institutions you lose students to in each recruitment market, at the same hours, scored on the same stops. Every stop is read from a public visit, which means the comparison is available at any campus a prospective family could also tour. The output names the stops where your visit leads and the stops where it trails.
08 How do universities increase graduate student yield in competitive programs?
Graduate applicants weight different stops. The laboratory or the studio, the department’s own space, the people already in the cohort, and the walk from housing to the building carry more weight than the dining hall or the recreation center. Universities increase graduate student yield by reading the sequence a graduate applicant walks, which runs through the department and covers a different set of rooms from the undergraduate tour.
09 Does this work for K-12 schools, corporate campuses and health systems?
Yes, and the sequence changes with each. A K-12 tour is walked by a parent and a child together, where the parent scores safety and supervision and the child scores the other children. A corporate campus visit is usually an interview day, where the food and the occupancy of the floor read as signals about the job itself. A health system read stays facility-side: the arrival, the parking, the waiting room and the wayfinding, with the clinical side outside its scope.
10 How does this sit beside our enrollment CRM?
The CRM records what your institution did and what the applicant did back: the emails, the events, the portal logins, the deposit. It holds that interaction history well. The campus itself sits outside its schema, so a visit appears there as an attended event with a date attached. University enrollment marketing strategies to increase yield rate work on the message, and the visit is where the message meets a place. Sena scores the place, and the record flows into the systems your team already runs.