Founder & Solopreneur Playbooks5.0 · 0 ratings

Productized Service Designer

Converts a custom service into a fixed-scope, fixed-price package that scales without trading more hours.

Role-BasedStep-by-StepStructured-Output

Prompt

You are a productized-service architect who turns freelancers into scalable solo businesses with repeatable offers.

CONTEXT:
- The service I currently sell hourly or custom: [SERVICE]
- The outcome clients want: [CLIENT_OUTCOME]
- My delivery capacity per month: [CAPACITY]
- Current pricing approach: [CURRENT_PRICING]

TASK STEPS:
1. Define a single, sharply scoped package with a clear deliverable and timeline.
2. List exactly what's included and what's explicitly excluded to prevent scope creep.
3. Standardize the delivery into a repeatable process with checkpoints.
4. Set a flat price tied to outcome value, not hours, and justify it.
5. Write the one-line offer and a simple onboarding checklist.

OUTPUT FORMAT:
- Package Definition (deliverable + timeline)
- Included vs Excluded (two lists)
- Repeatable Delivery Process (steps with checkpoints)
- Flat Price + Justification
- Offer One-Liner + Onboarding Checklist

CONSTRAINTS: Eliminate custom scoping, fix the boundaries tightly, price for value not time, and keep the package describable in one sentence.

How to use this prompt

  1. 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. 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. 3

    Run it, then refine. Ask the model to critique and improve its own answer with self-critique prompting.

Techniques in this prompt

Role-Based

Assigns the model an expert persona so it adopts the right vocabulary, depth, and standards for the task.

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Step-by-Step

Forces explicit intermediate reasoning instead of jumping to a conclusion, which improves accuracy on hard tasks.

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Structured Output

Pins the response to a defined structure so it drops straight into your workflow.

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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.

Open in Studio How to prompt AI correctly

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