Hire an AI manager feedback conversation planner

Everything it can hand back

Your task sets the actual outputs. The specialist picks the methods that cover them.

• A go-to question in your voice, and a second one tied to a recent project
• A plan for the silence, and the lines to repeat back, reward honesty and handle disagreement
• A read on where your relationship with the person sits now, and what to change
• A conversation plan with praise to open with, what to say about the behaviour, questions to ask and a follow-up date

How it does the job well

• Base people decisions on job-related evidence, applied the same way to everyone.
• Write in plain, respectful language the person affected could read.
• Keep personal data to what the task needs, and handle it privately.
• Check local employment law and company policy before advising on hiring, pay or exits.

Mistakes it avoids

• Biased wording in job ads, reviews or interview questions.
• Plans with no owner, timing or way to check progress.
• Treating a template as legal advice.

What a good result looks like

An example, not your task: You want honest feedback from your team, but all you hear is "everything is fine."

• Feedback request script. Your go-to question, a plan for the silence, a second question tied to a project, and lines to reply.
• Feedback conversation plan. Where your relationship sits, specific praise to open with, the behaviour and its effect, questions, and a follow-up date.
• Hand-back summary. Each step's file, any step not run and why, and every MISSING line in one list.

How the work is checked

• Each step passed its own checks, or the run stopped at the step that failed and says why.
• The steps ran in order, and each one used the result of the one before.
• Nothing was invented to fill a gap. Every gap is a MISSING: line.
• Nothing was sent, published or paid for without a clear yes.
• States which checks passed, failed or could not run, and names missing inputs.

These checks have not been run against a model yet. Your AI uses them to check its own work.

A second opinion

Before it hands back, your AI reviews the draft the way Kim Scott and Mary Barra would. This is a way of reviewing the work. It does not mean they wrote or endorse it.

Capabilities

• Writes your questions. Writes a go-to question in your voice and a second one tied to a recent project, so people have something specific to answer.
• Plans the silence and reply. Plans the six-second pause, a line to repeat back what you heard and a way to reward the honesty by fixing the issue or saying why you will not.
• Places the conversation. Takes the same relationship and shows where it sits on the care and challenge chart, so you know what to change.
• Plans what to say. Builds the next conversation from your first step, with specific praise, the behaviour and its effect, questions to ask and a follow-up date.

How the role works

1. Checks your task, context and available tools.
2. Picks the methods needed and prepares a work plan.
3. Carries out supported tasks, with each method's limits and review gates.
4. Checks the real deliverables and corrects supported faults.
5. Hands back files, evidence and unresolved gaps.

Your specialist's working setup

Download the base specialist without a task form or account. README.md and SETUP.md explain how to use the folder. SOUL.md defines its scope. INTAKE.md asks missing questions inside your AI. PLAYBOOK.md, SKILLS.md, BEST_PRACTICES.md, CHECKS.md and HANDOFF.md guide the work and its checked deliverables.

Complete associated skills, supporting files and licences are included. Choose only the methods needed for the actual task. Keep context, working files and accepted feedback in your AI project.

Use this specialist through MCP or the API

Call prepare_specialist with role_id ask-for-feedback-then-give-it only. No task is required to load it. Your AI asks what job you need done, what you want back and which relevant context it can use.

For task-led hiring, call find_specialist, explain the suggested specialists and let the user accept or change the team.

Complete ZIP: Download base specialist. API: GET /api/v1/specialists/ask-for-feedback-then-give-it/pack. The host AI supplies its own model, tools and execution; a pack does not connect accounts or run a task.

Inputs and helpful context

The specialist starts from the task brief. Only active methods require their inputs.

For the primary method, when used

• Who you manage, and how they relate to you
• What you want to learn about how you lead, such as how you run meetings
• A recent project you worked on together (optional)
• The person who needs your feedback, what you saw them do and the effect it had, as plain facts and not a guess about their attitude
• What you have already said to them about it, even if nothing
• A line or two that sounds like how you talk (optional)

Tools and access

• Claude, ChatGPT or Gemini: Writing a few lines in your voice is text work. No files, web access or paid tools needed.
• Your calendar: Put the ask on the last five minutes of each one-to-one so it happens every time.
• Any good chat AI: Placing the situation and writing the plan is text work any strong chat AI does well.
• A calendar: Book the talk and the follow-up date straight away.

Functions and deliverables

• Manager feedback conversation planner: Draft a question to ask your team for feedback. Then plan what to praise and what to raise in your next talk.
  • A go-to question in your voice, and a second one tied to a recent project
  • A plan for the silence, and the lines to repeat back, reward honesty and handle disagreement
  • A read on where your relationship with the person sits now, and what to change
  • A conversation plan with praise to open with, what to say about the behaviour, questions to ask and a follow-up date
• Feedback request script writer: Ask your team for honest feedback. You get a go-to question in your voice, a plan for the silence and lines for what you hear.
  • A go-to question in your voice, in two versions with one picked
  • The best moment to ask, so it becomes a habit
  • A plan for the silence after you ask, about six seconds
  • A second question tied to your recent project
  • Lines to repeat back what you heard, reward the honesty and handle a point you disagree with
• Feedback conversation planner: Plan a feedback conversation that gets heard. Describe the person and the problem. You get what to praise, what to say and how to say it.
  • Which box on the chart you are in now, and what to change
  • One piece of specific praise to open with
  • The behaviour and effect, in words to say
  • Questions to ask and a follow-up date
• Tough feedback note drafter: Share observed behaviour and the change you need. Get a short feedback draft with one clear request, a date and missing facts marked.
  • The behaviour and the change, each in one line
  • A short note of under 150 words
  • Any gap, such as missing true praise, marked clearly
• me.md builder: Answer a few questions, or let your AI use what it remembers. Get one private file that tells any AI who you are.
  • One me.md file with up to ten dated sections
  • A list of facts taken from memory, for you to check
  • A short note of what it removed for privacy
  • The two next steps, to save it and set it up
• Kim Scott: Prepare feedback using Kim Scott’s recorded approach. Ask for criticism, describe the work clearly and follow up with care.
  • Your problem worked on the way Kim Scott would: their questions, their method, their push-back
  • The answer or the work, in Kim Scott's voice, using their ideas by name
  • Anything that goes beyond their public record, marked
  • One suggested next step
• Mary Barra: Plan a crisis update using Mary Barra’s recorded approach. Start with affected people, state known facts and name owners for the work.
  • Your problem worked on the way Mary Barra would: their questions, their method, their push-back
  • The answer or the work, in Mary Barra's voice, using their ideas by name
  • Anything that goes beyond their public record, marked
  • One suggested next step

Tasks you can use it for

• You want honest feedback from your team, but all you hear is "everything is fine."
• You have a conversation you keep putting off with someone whose work is slipping.
• You are new to leading people and want a set way to ask for feedback and give it.

Limits to check before starting

• You face a serious conduct or performance issue in a first talk: speak to HR or your manager before you plan anything.
• You only want to write a thank-you to your team: use the Honest thank-you note writer.
• You need to settle a team disagreement: use the Disagreement response writer.

Best way to use this role

Give it one clear outcome, the actual files and a definition of done. Keep the work in one AI project so it can reuse checked context and earlier files.

• Download the handoff pack. It's a zip with HANDOFF.md and every skill file this workflow uses.
• Give the folder to Claude (in Claude Code, or as files in a Claude Project) and say "Follow HANDOFF.md".
• Say who you manage, what you want to learn and who you need to give feedback to. It works step by step and saves each result.
• Ask your question at the end of a regular one-to-one and count to six in silence. Then have the planned conversation.

Read it as data

Read the complete role setup as JSON. Connect your AI to the AI Blocks MCP library and read aiblocks://roles/ask-for-feedback-then-give-it for its role instructions and pinned sources.

This is a prepared AI role. No task has run. Your AI carries out authorized work using its available tools and reports the actual deliverables and checks.