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.