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Random Assignment Generator

Paste assignees and assignments, choose one-to-one or cycling behavior, and create a copy-ready browser-local assignment table.

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#AssigneeAssignment

Core random, wheel & group workflows

Use the broad picker, number, wheel, name, team or dice workflow first. Move to a specialist only when the probability model or output structure genuinely changes.

All 35 random tools

Capacity & eligibility constrained assignment

The original unrestricted assignment above remains the fastest workflow. Use this optional workspace when roles have explicit slot counts or when certain participant-role pairs are known to be ineligible before the draw.

#ParticipantRole

Each participant can fill at most one slot. The matcher maximizes valid assignments under the entered capacities and ineligibility pairs.

Fairness and randomness boundaries

Random selection can make equal-probability choices from the entered pool, but it cannot prove that the input list itself is appropriate or unbiased. Visual wheel/dice animations are presentation only. Seeded tools remain reproducible pseudo-random workflows rather than cryptographic randomness, and rating-balanced teams use a transparent heuristic rather than an optimal or human-judgment model.

How to use this Random Assignment Generator

Paste assignees and assignments, choose one-to-one or cycling behavior, and create a copy-ready browser-local assignment table.

How it works

This tool runs locally in your browser. Randomized workflows use browser cryptographic randomness where selection or shuffling is required; deterministic schedule tools follow the displayed rotation or round-robin rules.

Assignment-list mismatch is explicit

One-to-one mode stops at the shorter list. Cycle mode assigns every assignee and reuses the shorter role list as evenly as possible; it does not imply workload equivalence.

Practical guide and verification

Use the tool first, then apply these checks to verify the inputs, interpret the result, and hand it off without displacing the primary workflow.

Choose unconstrained or constrained assignment before drawing

The original workflow is fastest when every participant can take any role. Real classrooms, teams, and operations may have role capacities or explicit ineligibility rules. Use the constrained workspace only when those rules are known before the draw so the result is not retrofitted after seeing who was assigned.

Model capacity separately from role labels

Repeating a role name in a list can work for simple randomization, but an explicit capacity is easier to audit. The constrained workspace expands each role into a defined number of slots and reports any slots that remain unfilled, which makes shortages visible instead of silently cycling a shorter list.

Record ineligibility rules without exposing private reasons

A participant-role pair can be excluded for qualification, schedule, access, consent, or another legitimate operational reason. Enter only the minimum pair needed for the assignment and avoid publishing sensitive explanations. The generated report shows the rule effect without needing to disclose why the rule exists.

Audit unassigned people and unfilled slots together

A constrained assignment can be maximally matched and still leave people or roles unmatched when the inputs conflict. Review both lists before starting the activity. If a critical role is unfilled, change the real constraint or capacity deliberately rather than repeatedly rerolling until a preferred-looking result appears.

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