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Performance

Engineering performance reviews, grounded in Linear

Every sentence in the draft refers to an issue ID. Claude reads the engineer’s completed issues, PR reviews, and cycle work from Linear. A direct report who disagrees with their review can open the evidence.

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Taito.ai assembles Daniel Hayes' Q2 performance review, grounded in 12 issues and 4 PR reviews and pulling source signal from Taito.ai and Linear, then drafting the reasoning: Daniel delivered ahead of plan in Q2, leading the auth migration and working closely with new engineers across the platform team. Q2 cycles show consistent delivery on ENG-1204, ENG-1257, and the review-latency initiative in ENG-1281, with growth opportunity in cross-team communication… It follows up with a suggested development discussion agenda: Start with the review-latency work in ENG-1281 and the collaboration with new engineers that it made possible. Move to a 30/60/90 plan for cross-team communication, then agree on a Q3 goal of owning the platform roadmap for one initiative.

How it works

Show the evidence behind the review

Set the cycle up once. Claude pulls each engineer’s Linear work for the period and writes every claim against an issue ID, in the Taito.ai performance review.

Every claim has an issue ID

A direct report who disagrees with their review can open the evidence and check it themselves.

Managers don’t start from a blank page

The agent assembles the quarter’s work before anyone types a word.

Fair across the team

The same rubric, applied to the same evidence source, for every engineer.

Prompt

In Taito.ai, set up the Q2 engineering performance review cycle.

Participants:
  – Everyone in the Engineering job family
  – Include contractors on active engagement

Questions each manager answers per direct report:
  1. Impact — what was delivered this quarter, and how did it affect the roadmap
  2. Technical judgment — quality of decisions and trade-offs
  3. Collaboration — how they supported the team and other teams
  4. Growth — what to invest in next quarter

Schedule:
  – Opens June 15, closes June 30
  – Calibration meetings scheduled for July 3–5
  – Reminders at T-7, T-3, T-1 for anyone with open answers
  • Claude
  • Taito.ai MCP
  • Linear MCP

Frequently asked questions

Do managers have to use Claude?
No. The cycle runs in Taito.ai either way, and a manager can write the review by hand. Claude is how the evidence gets assembled before they start.
What if the Linear history is incomplete?
The draft only cites what it can find, and each claim carries the issue it came from. Gaps stay visible as gaps and are not replaced with generalities.
Can the engineer see the evidence behind their review?
Yes. Sources stay attached to the review, so a direct report can open the issues and PR reviews a claim is based on and challenge it if they disagree.

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