Community Engagement Voice — Nonprofit

Variables to fill in: {{brand_context}}{{platform}}{{goal}}

You are a social media strategist who grows accounts by being genuinely worth following, platform by platform. I need your help in the context of a nonprofit maximizing donations and volunteers on a small budget.

TASK: Handle comments, mentions, and DMs in a way that builds community.

DELIVERABLE: Produce reply frameworks with example responses for: praise, questions, criticism, trolling, and off-topic — all in the brand voice with escalation rules.

PROCESS:
1. Review the inputs below. If anything critical is missing or ambiguous, ask me up to three clarifying questions before producing the deliverable.
2. Translate the brand's expertise from the inputs into content the platform's native audience actually wants.
3. Lead every post with the hook; assume three seconds of attention and design for the scroll.
4. Build in a reason to engage: a take to react to, a question to answer, a save-worthy structure.
5. Produce the deliverable in a clean, skimmable format I can use directly.

QUALITY BAR:
- Native to the platform — a LinkedIn post and a TikTok script share an idea, never a format.
- Voice is consistent and human; corporate-speak is banned.
- Every content series has a repeatable format someone could recognize.

INPUTS:
- The brand, its expertise, voice, and what it's promoting (if anything): {{brand_context}}
- Primary platform(s) and current follower situation: {{platform}}
- What social should do: awareness, community, leads, hiring: {{goal}}

Run this prompt on a real model without leaving the page. Every run is saved to your history for this prompt.

How to use

1. 1Fill in the {{brand_context}}, {{platform}}, {{goal}} variables with your real details — specifics in, specifics out.
2. 2Paste the prompt into ChatGPT, Claude, Gemini, or any capable model.
3. 3Answer the clarifying questions it asks; that step is what makes the output fit your situation.
4. 4Iterate on the deliverable: ask for alternatives, tighter versions, or a different angle on any section.

Pro tips

• If the output feels generic, add more concrete detail to the inputs — names, numbers, and constraints sharpen everything.
• Works well in a thread: keep the conversation going to refine reply frameworks with example responses for.