Cohortly by Datics AI
Ask your enrollment and retention data a question in plain English.
Deans, program leads and admins ask enrollment, retention and revenue data a question in plain English and get a table or chart, within what each user can already see. It ships inside your platform, under your name.
Built into your codebase and shipped under your name, on an engine we license to you.
admin.northstarcampus.com / reports / ask
In · Dean of student success asks
Which first-year programs are behind last year's pace for spring re-enrollment?
Out · Cohortly
Registered for spring vs same week last year
Outreach list: 78 students for 6 advisors
Same demo, step by step below.
Try it step by stepIllustrative demo on a fictional institution. Not client work.
From question to chart
A plain-English retention question becomes the query, the chart and the next step.
Northstar College (fictional). The dean of student success asks which first-year programs are falling behind on spring re-enrollment.
Dean of student success · Northstar College
InputWhich first-year programs are behind last year's pace for spring re-enrollment?
Asked from the Reports page in week 8 of the fall term. Cohortly answers only from data this dean can already see in the product.
One question in plain English. The query, a chart and a next step out.
- 1Applying Northstar's definitions of 'first-year' and 're-enrolled'
- 2Writing the query
- 3Limiting it to programs you can see
- 4Comparing with the same week last year
Illustrative demo on a fictional institution. Not client work.
AI inside the workflow
Cohortly inside the product, not a chatbot beside it.
Northstar Campus today: every retention question becomes a report request and a spreadsheet.
The assistant runs Cohortly, branded as Northstar Insights, the way it is built to ship under your product's name.
Illustrative demo on a fictional institution. Not client work.
What it does
What Cohortly can do.
"In the demo" items are shown above; "Sprint-ready" ones are built the same way. We pick the ones that fit your product; you don't need all of them.
Ask the data in plain English, watch for programs falling behind, and act with briefs and outreach lists for staff.
Ask
Plain-English questions
In the demoTurns a question into a query over your data and returns a table or chart, with the query shown.
Ask
Institution definitions
In the demoUses each institution's own meaning of term, cohort, active and at-risk.
Watch
Weekly brief
In the demoWrites the weekly read-out for a dean, program lead or employer admin.
Act
Outreach lists
In the demoBuilds lists of students for advisors to contact; nothing goes to students automatically.
Proof: the work it builds on
Built on a text-to-SQL engine we've delivered.
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Why it sells
What Cohortly does for your business.
What your customers get, and what it does for your renewals and pricing.
A reason to renew
Customers get answers from their own data without waiting on a report request, inside your product.
An answer for RFPs
Read-only, permission-scoped answers with the query shown, for buyers who ask how AI handles student data.
A paid AI tier
Sell plain-English analytics as an add-on, priced from the cost per question we measure in the Build Sprint.
Controls
What Cohortly touches, and who approves.
Student data isn't used to train models for anyone else and stays in your cloud. Built and tested on synthetic or de-identified data.
Who uses it
Deans, program leads, student-success staff and employer admins.
What it connects to
Your reporting database or warehouse, read-only, with each institution's own definitions.
What a person approves
It's read-only and doesn't contact students; lists and briefs go to the staff who asked.
Switch per institution
On or off for each institution, with data settings their admins control.
How to get it
Two steps to a finished Cohortly.
Start with a three-week Build Sprint. Add more only if you want it.
First · Build Sprint · $10,000 fixed
Staff ask their data and spot changes early
- Plain-English questions
- Institution definitions
- Weekly brief
- In your staging, behind a feature flag
- Delivered as pull requests
- A test set your team reviews
- Week 1Setup
- Weeks 2–3Build
- You getCohortly in your staging and a fixed production quote
- Your time
- About 2–3 hours a week from a product owner
- Data
- Synthetic or de-identified
- The fee
- Counts toward production
Then · Live in production
A finished product, yours to run
- Fixed quote
- Tested before launch
- Switch per institution
- A finished, working Cohortly in your product
- Runs in your cloud, under your name
- Fixed quote, agreed before we start
Optional · Add more later
Only if you want it
More of Cohortly:
- Saved views
- Why did it change
- Early alerts
- +3 more
Another module:
- Each one quoted on its own
- Nothing ongoing unless you ask
Already built or tried AI? Get it scored with the AI ScorecardNeed something else? Start with a Planning Sprint
FAQ
Questions about Cohortly.
Can it change student records?
No. It's read-only; lists and briefs go to the staff who asked, and nothing goes to students automatically.
How do users check an answer?
Each answer shows the query it ran, so staff can see exactly what was counted.
Does it predict which students will drop out?
No. 'At-risk' and similar terms use each institution's own definitions, not a prediction model.
Who can see what?
Answers are scoped to what each user can already see, with permissions inherited from your product.
What does a question cost to answer?
We measure the cost per question in the Build Sprint, on your schema, so you know it before you decide on production or pricing.
See Cohortly on your own product.
Bring your product and one workflow. In 30 minutes we look at where Cohortly fits, what it would cost to serve and what your customers' security review will ask.
Calls run in US Central time. No generic AI presentation: we discuss your product, users and production constraints.
