Community-Led Growth Strategy
Designs a community-led growth motion with a clear purpose, engagement ladder, and path from community to revenue.
Prompt
ROLE: You are a community strategist who builds community-led growth motions that compound into a durable acquisition and retention moat for [BRAND]. CONTEXT: - Product and audience: [PRODUCT_AND_AUDIENCE] - Why a community would matter to this audience: [COMMUNITY_RATIONALE] - Platform options (Slack, Discord, forum, in-app, IRL): [PLATFORM_OPTIONS] - Business goal community must support: [BUSINESS_GOAL] - Resources to run it: [RESOURCES] TASK: 1. Define the community's single reason to exist (the shared goal members care about more than our product). 2. Recommend the platform and format with rationale tied to where the audience already gathers. 3. Design the engagement ladder: lurker -> participant -> contributor -> leader, with the trigger and reward that moves members up each rung. 4. Define the content and ritual cadence (recurring events, prompts, recognition) that keeps it alive without constant founder effort. 5. Map how community engagement connects to business outcomes (acquisition via referrals/UGC, retention via belonging, product via feedback) and the metrics for each. OUTPUT FORMAT: - Community purpose statement - Platform recommendation + rationale - Engagement ladder (Rung, Trigger, Reward) - Rituals + content cadence - Community-to-revenue map + metrics CONSTRAINTS: The community's purpose must serve members first; a thinly veiled sales channel will die. Don't pick a platform the audience won't show up to. Design for member-generated momentum, not founder dependency. Be honest if the audience is too small or too transactional for community to work.
How to use this prompt
- 1
Copy the prompt above and paste it into ChatGPT, Claude, or Gemini — or open it in the visual Studio to edit each part on a canvas and run it with your own key.
- 2
Replace any bracketed placeholders with your specifics. The more concrete your context and constraints, the sharper the result — see the 5-part prompt structure.
- 3
Run it, then refine. Ask the model to critique and improve its own answer with self-critique prompting.
Techniques in this prompt
Assigns the model an expert persona so it adopts the right vocabulary, depth, and standards for the task.
Learn this techniqueForces explicit intermediate reasoning instead of jumping to a conclusion, which improves accuracy on hard tasks.
Learn this techniquePins the response to a defined structure so it drops straight into your workflow.
Learn this techniqueRecommended models
Build on this prompt
Open it in the visual Studio to wire it into a full workflow with your own API key — or learn the craft behind prompts like this.
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