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Meaningful WorkHR leadLine manager

Leaver exit interview guide

An eight-question exit interview guide with confidentiality framing.

When to use

Whenever a staff member or long-term volunteer leaves.

Prompt template

Design an exit interview for {ROLE} who has been with us {TENURE}. 8 open questions covering: why now, what worked, what didn't, what would've kept them longer, culture / inclusion experience, safeguarding culture, one thing they'd change for their successor. Warm, non-defensive. Include a note that the conversation is confidential and will only be shared in aggregate.

Replace each highlighted placeholder with real context. Keep names and safeguarding details out.

When to use this prompt

Reach for this prompt when you need to an eight-question exit interview guide with confidentiality framing. It's designed for HR lead, Line manager. Typically used within People work.

How to use it
  1. 1

    Gather your inputs

    Have your local context, audience and goal to hand.
  2. 2

    Fill in the highlighted placeholders

    Copy the template above and replace every highlighted placeholder with real, local context.
  3. 3

    Run it in your AI tool

    Paste into your preferred AI assistant. Ask a follow-up if the output misses your association's tone.
  4. 4

    Work through the checklist

    Tick every item before you send, publish or act on the output.
Why this prompt works

Elicits honest feedback while making confidentiality explicit.

Worked example
Role: Youth Worker\nTenure: 14 months
What good output looks like

An 8-question exit interview guide with confidentiality framing.

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YMCA AI Adoption Toolkit

A practical library, guided context and safeguards so YMCA staff, volunteers and young leaders can use AI safely, confidently and locally.

Aligned with YMCA Vision 2030. Human review, always.

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Safeguarding

    Never enter identifying information about children, health or safeguarding cases into any AI tool. AI drafts, humans decide.

This toolkit is in beta. Its content was created with AI assistance and may contain errors — review outputs carefully, use your judgement, and follow your organisation's policies.

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