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Summarize interview feedback for a hiring decision

All scorecards for one candidate on one page: ratings, evidence for and against, and open questions.

  • You start it: When you start it
Use in CuiarRun from your AI agent

What it does

The task

Open the candidate candidate for the job job in Greenhouse and read every submitted scorecard. Make a table of the ratings per interviewer and per focus area. Summarize the evidence for and against the hire, with a short quote and the interviewer for each point. List the points where the interviewers disagree and the topics that nobody asked about. Do not give your own hire or no-hire advice. Save it as a Google Doc for the debrief meeting.

  • It works in Greenhouse and Google Docs, in the workspace you pick, and signs in with passwords from your Cuiar vault.
  • It runs once, when you start it.

What you give it

BlankWhat to giveExample
candidateThe candidate's name as in GreenhouseAnna Kowalski
jobThe jobSenior Backend Engineer, Payments

What you get back

An example run with the example values above. Your run uses your own data.

Debrief: A. Kowalski, Senior Backend Engineer, 4 scorecards

AreaNadiaTomLeoAisha
System designStrong yesYesYesnone
Code qualitynoneYesMixedYes
CollaborationYesnoneYesStrong yes

For: "Designed the refund flow with idempotency keys without a hint" (Tom)

Against: "Tests were thin, only the happy path" (Leo)

Disagreement: code quality (Leo: Mixed, Tom and Aisha: Yes)

Not asked: on-call experience, the Stripe API

Saved as "Debrief A. Kowalski".

Run it in Cuiar

  1. 01

    Open it

    Click Use in Cuiar on this page. The side panel opens with the task in the composer.

  2. 02

    Fill in 2 blanks

    Type candidate and job. Tab moves to the next blank.

  3. 03

    Run it

    Run sends it to the agent. Follow each step in the panel, and stop it at any time.

From the terminal

cuiar exec "Open the candidate Anna Kowalski for the job Senior Backend Engineer, Payments in Greenhouse and read every submitted scorecard. Make a table of the ratings per interviewer and per focus area. Summarize the evidence for and against the hire, with a short quote and the interviewer for each point. List the points where the interviewers disagree and the topics that nobody asked about. Do not give your own hire or no-hire advice. Save it as a Google Doc for the debrief meeting."

Run it from your AI agent

Claude Code, Codex, Cursor and other MCP clients reach Cuiar at https://mcp.cuiar.com/mcp. Add the server one time, then ask for the task in plain words, or call run_task yourself.

1. Add Cuiar to Claude Code

claude mcp add --transport http cuiar https://mcp.cuiar.com/mcp

2. Ask your agent

Use the Cuiar tool run_task to run my "Summarize interview feedback for a hiring decision" template with candidate = Anna Kowalski; job = Senior Backend Engineer, Payments.

Setup for other agents: AI agents.

The tool call

{
  "name": "run_task",
  "arguments": {
    "task": "Open the candidate Anna Kowalski for the job Senior Backend Engineer, Payments in Greenhouse and read every submitted scorecard. Make a table of the ratings per interviewer and per focus area. Summarize the evidence for and against the hire, with a short quote and the interviewer for each point. List the points where the interviewers disagree and the topics that nobody asked about. Do not give your own hire or no-hire advice. Save it as a Google Doc for the debrief meeting."
  }
}

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