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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