π₯ Random Group Generator
Split names into fair, random groups in one click.
Random Groups
How to Use This Random Group Generator
Paste your list of names, choose whether you want a set number of groups or a set group size, and generate. The names are shuffled with an unbiased algorithm and dealt out so group sizes differ by at most one person. Ten sample names are preloaded so you can try it immediately.
Paste or type names into the box, one per line. Blank lines are ignored, and duplicate names are kept as separate entries.
Choose "Number of groups" to fix how many groups you want, or "Group size" to fix how many people go in each group. Enter the number.
Click Generate Groups. Each group card lists its members with a copy button for pasting into a document, slide, or chat.
Not happy with the mix? Click Shuffle Again for a fresh random split with the same names and settings.
How the Randomness Works
Fairness here has two parts: the shuffle and the deal. The shuffle uses the Fisher-Yates algorithm, which walks the list from the last name to the first, swapping each with a randomly selected name from the unshuffled portion. That procedure is mathematically proven to give every ordering an equal chance. The random choices come from crypto.getRandomValues, the browser's cryptographically secure random source, rather than the weaker Math.random, so the shuffle has no detectable bias. After shuffling, names are dealt round-robin across the groups, which guarantees the most even split possible: no group can be more than one member larger than any other.
Worked Example
Take the 10 preloaded names (Ava, Liam, Maya, Noah, Emma, Oliver, Sophia, Ethan, Isabella, Lucas) with "Number of groups" set to 3. After the shuffle, the names are dealt round-robin: the 1st, 4th, 7th, and 10th shuffled names land in Group 1, the 2nd, 5th, and 8th in Group 2, and the 3rd, 6th, and 9th in Group 3. That produces group sizes of 4, 3, and 3, the most even split of 10 into 3. Switch the mode to "Group size" and enter 4, and the tool computes ceil(10 / 4) = 3 groups, dealing the same 4, 3, 3 distribution. Every name appears exactly once, and a second click of Shuffle Again re-deals everyone into a brand new random arrangement.
Classroom and Team Uses
Teachers reach for this most often for lab partners, project teams, and discussion groups, where a visibly random split ends all debate about favoritism. It works just as well for peer review pairs, debate sides, classroom tournament brackets, and seating rotations. Coaches use it to draft balanced scrimmage teams, and managers use it to mix departments in workshops so people meet colleagues they would not otherwise talk to. One practical tip: for group work that spans several weeks, generate fresh groups for each new unit. Students build a wider set of collaborators over the term, and no one gets stuck with the same dynamic all semester.
Frequently Asked Questions
How does the randomization work?
The tool shuffles your name list with the Fisher-Yates algorithm, the standard unbiased shuffle: it walks the list from end to start, swapping each name with a randomly chosen earlier one. The random numbers come from crypto.getRandomValues, your browser cryptographically secure random source, not the weaker Math.random. Every possible ordering is equally likely, so no name is favored for any group.
Will the groups come out even?
As even as the math allows. Names are dealt round-robin into the groups, so group sizes differ by at most one person. Ten names into three groups gives 4, 3, and 3. If you pick a group size instead, the tool first works out how many groups that needs and deals the same way: ten names with a group size of 4 gives groups of 4, 3, and 3.
How many names can I enter?
There is no hard limit. The tool handles a classroom of 30 or a company offsite of 300 the same way, since the shuffle runs entirely in your browser. For very large lists, the group cards render in a scrollable page, and the per-group copy buttons let you lift each group into a document or chat message.
Can it avoid putting the same people together twice?
Each click of Generate or Shuffle Again produces a fresh independent shuffle, so repeats are possible by chance, exactly as with drawing names from a hat. If you need to avoid a repeat pairing from a previous round, generate again: with a class of 24 split into groups of 4, the odds of the same exact group re-forming are tiny. The tool does not track history between visits.
What are good classroom uses for random groups?
Random groups are ideal for lab partners, project teams, discussion circles, peer review pairs, and classroom games where fairness matters. Teachers also use them to mix ability levels without appearing to play favorites, since the shuffle is visibly impartial. For recurring group work, generate fresh groups each unit so students collaborate with different classmates over the term.