Analyse youth feedback without losing minority views
Summarise feedback while preserving perspectives that might otherwise be lost.
Higher-risk prompt — human review is required before you act on the output.
This prompt touches safeguarding, wellbeing, funding claims or public communications. Verify facts, remove personal details and check with a colleague before using the result.
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 manager. 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
Gather your inputs
You'll need: Raw feedback (anonymised), Context of the engagement.Nice to have: Demographic mix. - 2
Fill in the template
Copy the template below and replace every bracketed placeholder with real, local context. Keep names and safeguarding details out. - 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 or context. - 4
Review with the checklist
Work through the human-review checklist below before you send, publish or act on the output.
Prefer a guided flow? Adapt with the guided builder — it fills placeholders from your association profile.
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.\n\nFeedback: {{feedback}}\nContext: {{context}}Replace bracketed placeholders with real context. Never paste identifying details about children, health or safeguarding cases.
Human review checklist
Tick each before you send or publish 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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