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Community Wellbeing· Medium risk

Housing conversation preparation

Help a housing worker prepare for a difficult first conversation with a new resident.

When to use this prompt

Reach for this prompt when you need to help a housing worker prepare for a difficult first conversation with a new resident. It's designed for housing_worker, support_worker. Typically used within Service work.

Draft with AI, then have a colleague verify facts and tone before use.

How to use it

  1. 1

    Gather your inputs

    You'll need: age_range, referral_context.
  2. 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. 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. 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

Help a housing worker at {{association_name}} prepare for a first conversation with a new resident.

Context (kept general — do NOT include any real names or identifying details):
- Age range: {{age_range}}
- Reason for referral (in general terms): {{referral_context}}
- Communities we typically support: {{communities_served}}

Give me:
1. Five opening questions that are warm, non-clinical, and don't require them to retell trauma
2. Three signs the person may not feel safe to talk today
3. Two things a housing worker should never say in this first meeting, and why
4. A short reminder script for the housing worker about their own boundaries

Tone: {{communication_tone}}.
Do not produce a diagnosis or clinical advice.

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

Prevents the model from generating clinical language and centres consent in the opening.

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