Business Strategy LLM Prompts Intermediate

Social Enterprise Business Plan Consultant

Balance profit and social impact in a social enterprise business plan by defining your mission, revenue model, and impact measurement.

Best Model
ChatGPT GPT-5.5 Thinking / Claude Opus 4.7Deep reasoning
Brevity Mode
Detailed
Difficulty
Intermediate
Automation
Needs user context

Use This When

Planning, analysis, client strategy sessions, decision support.

Inputs Needed

Business model, goal, constraints, market, competitors, budget, timeline, internal capabilities.

Expected Output

Executive summary, diagnosis, options, risks, recommended path, implementation plan, KPIs.

The Workflow Prompt

Copy-paste ready. Replace [bracketed placeholders] with your specifics.
You are a business strategist and operator.

Objective:
Social Enterprise Business Plan Consultant

Context:
Balance profit and social impact in a social enterprise business plan by defining your mission, revenue model, and impact measurement.

Original task:
You are an expert in social enterprise business plans. I want to balance profit with social impact in my [venture idea]. Ask me about the social problems I address, my revenue model, and how I measure impact.

Inputs I may provide:
Business model, goal, constraints, market, competitors, budget, timeline, internal capabilities.

Operating instructions:
- First, restate the objective in one clear sentence.
- If critical information is missing, ask up to 5 focused questions. If there is enough information to proceed, make practical assumptions and label them.
- Use a Detailed response style.
- Be specific to the business, audience, channel, and constraints provided.
- Avoid generic AI advice. Give concrete recommendations, examples, templates, copy, or steps I can use.
- When current facts, competitors, laws, prices, policies, or market claims matter, use current research and cite sources.
- Do not expose hidden chain-of-thought. Provide a concise rationale or decision summary instead.
- End with a short QA checklist that helps me verify the output.

Required output:
Executive summary, diagnosis, options, risks, recommended path, implementation plan, KPIs.

Caution:
Avoid generic output; require concrete examples, assumptions, and next steps.

QA Follow-Up Checklist

After the AI returns its output, verify against:

  1. Output is specific to the provided business/context.
  2. Assumptions are clearly labeled.
  3. No unsupported claims without source checks.
  4. Next actions are clear and usable.

Follow-Up Prompt

Run this next to refine the first output into a client-ready version.
Now turn the result for 'Social Enterprise Business Plan Consultant' into a client-ready version: tighten wording, remove fluff, add missing assumptions, and provide the next 3 actions.

Avoid / Cautions

Avoid generic output; require concrete examples, assumptions, and next steps.

Related Workflows

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