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Guide for teachers, facilitators, and event organizersUpdated guide7 min read

Random groups vs balanced groups vs constrained groups

Not every grouping problem needs the same level of control. This guide explains when a simple random split is enough, when balancing gives better outcomes, and when you should use constraints because logistics or relationships matter more than speed.

A person chooses between random, balanced, and constrained grouping controls while people cards sort themselves.

Guide visual

Choose the right grouping mode

From quick random splits to rule-aware schedules.

simplebalancedrules

Start by deciding whether your situation needs speed, fairness, or rule-aware scheduling. Once that is clear, choosing the right GroupMixer flow becomes much easier.

Choose the right grouping mode for the job

  • random grouping is best when speed matters more than composition
  • balanced grouping helps when fairness or mix quality matters
  • constrained grouping is for cases where real rules must be respected

Why people choose the wrong grouping approach

They use random groups for non-random goals

If you care about skill mix, fairness, or relationship rules, a pure random split can create predictable problems that then need manual fixing.

They overcomplicate simple cases

Sometimes a quick random split is exactly right. Adding unnecessary rules can slow you down without improving the outcome.

They wait too long to add constraints

When facilitators, classroom dynamics, or operational rules matter, forcing those needs into a simple random flow usually causes more work later.

Three common examples

Use random groups when you just need a fast split, balanced groups when composition quality matters, and constrained groups when specific rules have to be respected.

  • Random: a quick icebreaker where any valid group is fine
  • Balanced: a classroom task where you want stronger and weaker students spread across groups
  • Constrained: a workshop where facilitators are fixed and some people must stay together or apart
  • Use multiple sessions and avoid-repeat settings when the challenge includes repeated rounds

Try this setup in GroupMixer

This tool is preloaded with the example from this guide. You can edit the participants, constraints, sessions, and balance settings before generating groups.

Enter one person per line in the first column. Optionally, add attribute columns such as gender, role, or skill-level on the right. Those attributes can then be used to balance groups and set additional rules.
Name
Add attribute (e.g. Gender)
Male Male Female
Use 1 session for a single round of groups. Increase sessions when you want multiple rounds with new group assignments for the same people.
People
18
Groups
3
Approx size
6
Force specific people into the same group in every session. Write one "clique" per line, with names separated by commas. Example: "Alex, Sam" keeps Alex and Sam together.
Prevent specific pairs of people from being placed in the same group. Write one pair per line. Example: "Alex, Sam" means Alex and Sam must never be grouped together.
Pin specific people to a specific group across all sessions. Enter one name and one group number per row. This is useful for leaders, presenters, or anyone who must stay in a known group.
Name
Group
Set target counts for each attribute value inside each group. Keep auto distribute enabled for fair automatic targets, or edit the counts manually when you need exact control.
Track
Groups 1-3Drag the handles in the bar to adjust the distribution, or edit the numbers next to the labels manually.
Drag the handles in the bar to adjust the distribution, or edit the numbers next to the labels manually.
Need even more control?
  • Partial attendanceSet which participants attend which sessions instead of assuming everyone is present every round.
  • Custom group capacitiesGive each group its own capacity and override those capacities for specific sessions when room sizes or staffing change.
  • Session-specific constraintsApply Keep Together, Keep Apart, Fixed Placements, Repeat Limit, and balance rules only to the sessions where they matter.
  • Weighted preferencesAdd preferences that can be violated when needed, then tune their weights relative to other goals.
  • Pair encounter targetsTarget how often specific pairs should meet across the schedule, including exact, minimum, or maximum encounter counts.
  • Group visit targetsControl how often selected people visit selected groups across sessions for station rotations, task exposure, or visit caps.
  • Advanced constraint tuningFine-tune repeat limits, attribute-balance modes, penalties, and other constraint details beyond the landing-page controls.
  • Solver settingsAdjust runtime limits, deterministic seeds, solver family, and other optimization settings.
  • Result analysisInspect score breakdowns, constraint compliance, penalties, and saved results in more detail.
Your participants, rules, and configuration come with you.

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