Random Group Generator

Make balanced, random groups from any list of people. The group generator is easy to use. It is great for teachers, trainers, and organisers who need fair teams.

The generator shuffles names at random. This makes fair groups with no bias. Everyone gets the same chance to work with new people.

Smart group setup makes class time run better. It builds clear teams that keep students busy and well behaved. Random groups help peer tutoring and group work. They suit every learning style and skill level.

Work teams use random groups to help staff meet new people. They mix staff from different teams. This breaks down walls between departments. Trainers use the tool to share skills and build leaders at every level.

Research on group learning shows that mixed groups lift grades and social skills. Studies in education back this up. Random groups ease stress and help shy students join in. They give students the best setting to learn from each other.

Educational & Organisational Tools: Our random generators help with school work and staff training. Use them to set up class groups, run team building, or manage projects. These tools use proven methods. They boost learning and help everyone take part. Also try our Random Pair Generator for more random selection tools.

When you click Generate Groups, the tool first creates a copy of your participant list and shuffles it with the Fisher–Yates algorithm, using JavaScript's Math.random() to pick each swap. This gives every possible ordering of your list an equal chance of occurring, so group composition is unpredictable each time. The shuffled list is then sliced into consecutive chunks of your chosen target size — no participant is skipped or weighted. All of this runs entirely in your browser; nothing is sent to a server. For more detail on how browsers implement pseudo-random number generation, see the MDN documentation for Math.random().

How remainders are handled depends on the distribution mode you choose. In Allow uneven mode (the default), the final group simply receives whatever participants remain after the even chunks are filled — it will be smaller than the target size if the count does not divide evenly. In Even only mode the tool calculates how many full groups fit, then assigns participants to each group in order, giving the last group any leftover members so it may be slightly larger than the others. Either way, every participant appears in exactly one group.

Consider a class of 10 students: Alice, Bob, Charlie, Diana, Eve, Frank, Grace, Henry, Isla, and Jack. Set the target group size to 3 with Allow uneven enabled (the default). After shuffling, the tool slices the list into chunks of 3:

• Group 1 — Grace, Diana, Jack (3 members)
• Group 2 — Alice, Henry, Eve (3 members)
• Group 3 — Charlie, Isla, Bob (3 members)
• Group 4 — Frank (1 member — the remainder)

Switching to Even only mode recalculates: 10 ÷ 3 gives 3 full groups, with the last group absorbing the extra member — resulting in two groups of 3 and one group of 4. The key difference from a list randomiser or pair generator is that this tool always produces multiple named groups simultaneously, ready to copy and share.

The table below shows how the tool distributes participants across groups for common combinations of list size and target group size, in the default Allow uneven mode. Maths: each row is computed by dividing the participant count into consecutive chunks of the target size, with the final chunk holding whatever remains.