This is an example of the anonymous summary the scheduler generates after the review closes. It is generated from the responses to the example review.

Alex Carter

Software Engineer Peer Review (2026-01-12)

Honest feedback can be difficult to take, so remember that all feedback contains opinions which may not be true, and it's ultimately up to you whether you believe it or do anything about it. Try to appreciate the time and energy people used to give this feedback. The free-text feedback from all of the reviewers was summarised collectively with AI, which uses its own wording and attempts to remove any insults and use a constructive tone. This summary was generated by Trust Reviews.

(82.00%) In terms of our values, I trust them to...

1. Be open and honest
2. Take ownership
3. Put the customer first

(85.00%) In terms of the responsibilities in their role, I trust them to...

1. Deliver features that meet the agreed requirements
2. Review code constructively and promptly
3. Write tests that give the team confidence to release
4. Share knowledge and help others to grow

(80.00%) How often does their engagement with the team and the work impress you?

When have they impressed you and what did you admire about them?

This feedback was summarised anonymously with OpenAI.

1. Thorough code reviews: Their reviews catch issues early and always explain the reasoning, which helps others learn.
2. Calm under pressure: During a recent incident they stayed calm, kept everyone informed, and found the root cause quickly.
3. Supportive teammate: They regularly offer to pair with newer members of the team and make time to answer questions.

When could they have helped you or the team more and what could they have done?

This feedback was summarised anonymously with OpenAI.

1. Share progress earlier: Larger pieces of work could be shared sooner so the team can give input before most of it is built.
2. Spread knowledge: Involving others in complex areas of the system would reduce the reliance on them alone.

Scores

1. 2026-01-12: 83.00%

Summary

This summary was provided with OpenAI.

Alex is widely trusted to deliver high quality work and is seen as a supportive teammate. Reviewers particularly admire their thorough code reviews and willingness to help others. The main opportunity is to share progress earlier on larger pieces of work and to involve others sooner so that knowledge is spread more evenly across the team.