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Community WellbeingYouth workerProgramme lead

Analyse youth feedback without losing minority views

Summarise feedback while preserving perspectives that might otherwise be lost.

This one needs human approval before use — got it?

High-risk prompt: touches sensitive areas. Always have a human review the output before you use it. How to use AI responsibly →

Fill in the details

2 placeholders

Type your details in and we'll drop them into the template. Empty slots stay as tokens so nothing goes missing.

Prompt template

Analyse the anonymised feedback below. Provide: main themes, disagreements, and any minority views that would be lost in a summary. Do not fabricate quotations. If you attribute a view, quote directly from the source text. Note where sample size limits confidence.

Feedback: {{feedback}}
Context: {{context}}

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

Human review checklist

Tick each before you send or publish the output.

When to use this prompt

Reach for this prompt when you need to summarise feedback while preserving perspectives that might otherwise be lost. It's designed for Youth worker, Programme lead. Typically used within Analysis work.

Not suitable for real-time decisions about individuals, safeguarding cases, or public claims without human sign-off.

How to use it
  1. 1

    Gather your inputs

    You'll need: Raw feedback (anonymised), Context of the engagement.
    Nice to have: Demographic mix.
  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

Direct-quote-only rule plus explicit minority-view section prevents the model from smoothing over dissent.

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YMCA AI Adoption Toolkit

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Aligned with YMCA Vision 2030. Human review, always.

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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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