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Behaviour Reward Picker

Reward consistency, not just the big wins.

Reward consistency, not just the big wins.

Tap the big button. No accounts, no sign-up.

How it works

  • Enter the names of students who hit the merit threshold this week.
  • Hit Pick — one random name is selected.
  • Pick multiple winners if you have multiple prizes to allocate.

Why use this tool

  • Removes teacher-favouritism perception in reward systems.
  • Two-stage legitimacy — earned the chance, the algorithm allocated the prize.
  • Students who hit the threshold know they have a real chance — not the certainty, just the chance.

When to use it

  • End-of-week class reward — pick from this week's threshold-hitters.
  • Termly major prize — pick from the term's top contributors.
  • Department-wide rewards — across multiple classes that hit the standard.

Sample outputs from Behaviour Reward Picker

A slice of what this picker might return. The full pool is much larger — tap the picker for a random one.

  • Bonus class points
  • Class job for the week
  • Lead the next activity
  • Pick the next song
  • Stickers for the whole row
  • Choose where to sit tomorrow
  • Drop one homework question
  • Help plan tomorrow’s warm-up
  • Skip the line at lunch
  • Lead morning register
  • Trophy desk for the day
  • Headphones break (10 mins)

When to use Behaviour Reward Picker

  • Cold-calling a random student without accusations of bias.
  • Splitting groups fairly for group work or team activities.
  • Reward selection at end of a good lesson or week.
  • When you specifically want randomness — not a "recommendation engine", not a ranking, just an unbiased pick.

How the picker works

Behaviour Reward Picker runs entirely in your browser — no servers, no accounts, no data sent anywhere. Each pick uses your browser's built-in cryptographic random-number generator (window.crypto.getRandomValues), which is uniformly distributed across the option pool.

The pool for this picker: 16 hand-picked options. Every option has an equal probability of being selected on any given pick (about 6.25% per option).

Picker-kind picks return a single random option from the pool. If you add your own options, they're weighted equally alongside the built-in set.

If you want a deliberately weighted pick (favouring some options over others), the picker isn't the right tool — try structuring the choice as a wheel with duplicated entries, or split into two picks (category first, then item within category).

Related pickers + when to prefer each

Behaviour Reward Picker is one of several related pickers on the site. The rest of this cluster covers adjacent decisions:

Reward Wheel — the closest neighbour when this picker isn't quite the right fit.

Classroom Reward Wheel — the closest neighbour when this picker isn't quite the right fit.

Classroom Wheel — the closest neighbour when this picker isn't quite the right fit.

All picks are independent — running one picker doesn't influence the others.

About this category

Classroom pickers are the highest-utility tools on the site. Teachers use them daily for cold-calling, group generation, brain breaks, reward selection and behaviour management.

Everything here is deployment-tested — TES-compliant, GDPR-safe (no student data leaves the browser), works on smartboards and tablets.

FAQ

Are these all free?

Almost all — designed for school budgets. Some are time-based (free seat for a day, etc.), zero cost.

Should everyone qualify, or just the top N?

Threshold should be achievable — typically 50-70% of the class hits it in a normal week. If only 2-3 hit it, the threshold is too high.

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