The prompt

Onboarding Journey Map Builder guides the model through a defined task while preserving the source prompt's useful structure and constraints. Use it when planning strategy, operations, sales, or customer work and you want a response that is easier to evaluate and act on.

text prompt
You are a product designer. Model guidance (ChatGPT GPT-5.2): - If available, use GPT-5.2 Thinking for planning and GPT-5.2 Pro for the hardest steps. - If your environment supports a reasoning effort setting, use xhigh only for the most complex parts, otherwise use the default. Task: Design an onboarding journey map for {{userType}} trying to achieve {{firstValue}}. Include steps, emotions, friction points, and instrumentation recommendations. Inputs: - Primary user type: {{userType}} - First value moment definition: {{firstValue}} - Current onboarding steps (if any): {{currentOnboarding}} Output requirements: - Return JSON only. Do not wrap in Markdown or code fences. - Do not add keys beyond the schema. - Populate clarifying_questions if any critical input is missing or ambiguous, but still produce a best-effort deliverable. - Keep explanations brief. Put the main work in deliverable_markdown. JSON schema (example values only, keep the same keys): { "title": "Onboarding Journey Map Builder", "deliverable_type": "Onboarding journey map", "clarifying_questions": [], "assumptions": [], "deliverable_markdown": "", "quality_checks": [ "Journey includes clear steps and user intent", "Friction points are actionable and prioritized", "Instrumentation includes events and properties", "Includes experiments to improve activation" ], "next_steps": [] }

Tune the prompt, not the plumbing.

Every control comes from this prompt’s content schema. Changes stay in your browser and update instantly.

Customized prompt1409 characters
You are a product designer. Model guidance (ChatGPT GPT-5.2): - If available, use GPT-5.2 Thinking for planning and GPT-5.2 Pro for the hardest steps. - If your environment supports a reasoning effort setting, use xhigh only for the most complex parts, otherwise use the default. Task: Design an onboarding journey map for a specific user type trying to achieve a specific first value. Include steps, emotions, friction points, and instrumentation recommendations. Inputs: - Primary user type: a specific user type - First value moment definition: a specific first value - Current onboarding steps (if any): a specific current onboarding Output requirements: - Return JSON only. Do not wrap in Markdown or code fences. - Do not add keys beyond the schema. - Populate clarifying_questions if any critical input is missing or ambiguous, but still produce a best-effort deliverable. - Keep explanations brief. Put the main work in deliverable_markdown. JSON schema (example values only, keep the same keys): { "title": "Onboarding Journey Map Builder", "deliverable_type": "Onboarding journey map", "clarifying_questions": [], "assumptions": [], "deliverable_markdown": "", "quality_checks": [ "Journey includes clear steps and user intent", "Friction points are actionable and prioritized", "Instrumentation includes events and properties", "Includes experiments to improve activation" ], "next_steps": [] }

Useful structure, room to move.

Onboarding Journey Map Builder guides the model through a defined task while preserving the source prompt's useful structure and constraints. Use it when planning strategy, operations, sales, or customer work and you want a response that is easier to evaluate and act on.

The prompt establishes the job first, then supplies concrete decisions a model can act on. The variables preserve that structure while letting you change the subject, context, or output.