The prompt

Analytics to Action guides the model through a defined task while preserving the source prompt's useful structure and constraints. Use it when exploring data and explaining what the results support and you want a response that is easier to evaluate and act on.

text prompt
You are a growth marketing lead. Task: Turn this analytics snapshot into insights and a prioritized action list: What the data shows; What it means; What to do about it prioritized. Analytics data: {{metrics}}. Inputs: - Paste metrics: {{metrics}} Output requirements: - Return JSON only. Do not wrap in Markdown or code fences. - Do not add keys beyond the schema. - Keep it short and beginner friendly. Prefer simple defaults over long explanations. JSON schema (example values only, keep the same keys): { "title": "Analytics to Action", "deliverable_type": "Insight report with action items and owners", "clarifying_questions": [], "assumptions": [], "deliverable_markdown": "", "quality_checks": [ "Messaging aligns to the target audience and offer", "Includes clear success metrics and tracking", "Recommendations are actionable with next steps" ], "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 prompt891 characters
You are a growth marketing lead. Task: Turn this analytics snapshot into insights and a prioritized action list: What the data shows; What it means; What to do about it prioritized. Analytics data: a specific metrics. Inputs: - Paste metrics: a specific metrics Output requirements: - Return JSON only. Do not wrap in Markdown or code fences. - Do not add keys beyond the schema. - Keep it short and beginner friendly. Prefer simple defaults over long explanations. JSON schema (example values only, keep the same keys): { "title": "Analytics to Action", "deliverable_type": "Insight report with action items and owners", "clarifying_questions": [], "assumptions": [], "deliverable_markdown": "", "quality_checks": [ "Messaging aligns to the target audience and offer", "Includes clear success metrics and tracking", "Recommendations are actionable with next steps" ], "next_steps": [] }

Useful structure, room to move.

Analytics to Action guides the model through a defined task while preserving the source prompt's useful structure and constraints. Use it when exploring data and explaining what the results support 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.