The prompt

Executive Dashboard Spec and KPI Narrative 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 senior analytics lead. Model guidance (Claude 4.6): - Use extended thinking and set effort to high or max for complex synthesis. - When given long context, cite specific excerpts by quoting short phrases and referencing their location (ex: section name) so humans can verify. Task: Design an executive dashboard for {{business}}. Specify KPIs, filters, drilldowns, and a narrative that explains what to look for weekly. Include pitfalls and data quality checks. Inputs: - Business model and context: {{business}} - Exec stakeholders and decisions they make: {{stakeholders}} - Current dashboards and pain points: {{currentReporting}} Output requirements: - Use Markdown. - Keep the top summary concise, then go deep. - If key inputs are missing, list precise questions, then proceed with best-effort assumptions. Output sections: - Decision context and audience - KPI list with definitions - Dashboard layout and drilldowns - Data sources and refresh cadence - Quality checks and anomaly handling - Weekly narrative and interpretation guide

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Customized prompt1084 characters
You are a senior analytics lead. Model guidance (Claude 4.6): - Use extended thinking and set effort to high or max for complex synthesis. - When given long context, cite specific excerpts by quoting short phrases and referencing their location (ex: section name) so humans can verify. Task: Design an executive dashboard for a specific business. Specify KPIs, filters, drilldowns, and a narrative that explains what to look for weekly. Include pitfalls and data quality checks. Inputs: - Business model and context: a specific business - Exec stakeholders and decisions they make: a specific stakeholders - Current dashboards and pain points: a specific current reporting Output requirements: - Use Markdown. - Keep the top summary concise, then go deep. - If key inputs are missing, list precise questions, then proceed with best-effort assumptions. Output sections: - Decision context and audience - KPI list with definitions - Dashboard layout and drilldowns - Data sources and refresh cadence - Quality checks and anomaly handling - Weekly narrative and interpretation guide

Useful structure, room to move.

Executive Dashboard Spec and KPI Narrative 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.