Turn survey responses into balanced draft teams.
Once responses are in, Teamer suggests draft teams for your staff to review, not final teams it imposes. It balances student preferences, availability, skills, and course constraints, and hands you an arrangement you can adjust before a single student sees it.
How it works
What happens, in order. Staff stay in charge at each step.
Collect the responses
Students complete the formation survey, and their answers become the input for matching.
Generate a draft
Teamer proposes a full set of balanced teams across the cohort in one pass, ready for you to look over.
Review and adjust
Open any team, see the arrangement, and change anything that does not sit right before it goes out.
Publish when ready
Students only see their team once you approve it. Nothing is released automatically.
You stay in control
Teamer suggests, you decide. Nothing reaches a student without a staff member's say-so.
Review before anyone sees
Drafts land with staff first, never straight to students.
Adjust or regenerate
Change any team by hand, or generate a fresh draft.
Publish on your call
Teams go live only when you approve them.
Turn AI off entirely
Prefer to form teams by hand? The feature never has to run.
What students experience
- Students never see draft or in-progress teams
- They receive their final team through a secure link once staff publish
- Their survey answers count, so teams rest on more than who sat together
Your data
AI-assisted matching sees de-identified free-text answers only, never names or emails. It runs through OpenAI in the United States when you enable it, and it suggests groupings that staff review. Every published team is a human decision.
See exactly what the AI does and does not seeFrequently asked
Can AI create balanced student teams automatically?
Teamer proposes a full set of balanced draft teams from students' survey responses in one pass, weighing preferences, availability, skills, and course constraints. It suggests; staff review, adjust, and publish. Nothing reaches a student without a person's approval.
Does the AI see students' names or personal details?
No. AI-assisted matching only sees de-identified free-text answers, never names or emails. You can also turn it off entirely and form teams by hand.
Is AI-generated team matching fair?
It is fairer than self-selection, which quietly favours the already-connected. Teamer forms teams from what students share rather than who they already know, and every published team is still a human decision a staff member signs off on.
Get draft teams for your next project
Start a pilot and we will turn your students' responses into balanced draft teams your staff can review, so your next project starts on the right footing.
Start a pilot