Peer Feedback Question Generator
Generates a structured question for giving useful peer feedback — specific enough to be actionable, distinct from vague 'good job' comments.
What this generator does
Draws a question for a student to answer about another student's work. The question is what makes peer feedback useful — asked for 'feedback', students write 'good work'; asked a specific question, they have to read it.
What you'll get
This generator draws from a hand-checked list of 30 entries. Here is a spread of 6 of them, so you can see the style before you generate:
- What's the strongest part of this work, and why does it work well?
- Where does the tone change, and was it meant to?
- What did the writer assume you already knew?
- Which example works hardest, and which could be cut?
- Which part would you struggle to explain to someone else?
- Does the work do what the task actually asked, or something adjacent?
A fixed sample of the list, not a live draw — your own results are picked at random from all 30, without repeating until the list runs out. Original authoring for Generate Random — general peer-review prompts, subject-neutral.. Last reviewed 2026-09-03.
How to use this tool
- Press generate for a question.
- Use it to review a partner's work.
Common use cases
- Peer-review sessions
- Structured peer-assessment activities
- Improving feedback quality
How this generator works
Draws from thirty fixed questions without repeats up to a batch of five, each specific enough to require reading the actual work rather than skimming it.
Limitations and good to know
- Questions are generic across every subject, so none references a specific mark scheme or success criteria — pair with those separately if the task needs them.
- Nothing is remembered between visits, so weekly use will meet repeats well within a term; with the page left open, none of the thirty questions repeats until all have been shown.
Practical tips
- Two questions maximum, and require an answer in full sentences.
- Pair the questions with a pairing generator so nobody reviews the person reviewing them — mutual pairs produce noticeably softer feedback in both directions.
Entries are chosen with your browser's cryptographic random number generator, so every entry on the list is equally likely. How Generate Random works.