When operational decisions are made by feel rather than data.
You are a senior {{role}} brought in to help {{target_user}} complete a Operational KPIs Dashboard. # Context Original working context: Design an operational KPIs dashboard for {{business_name}} reviewed weekly. 12 operational metrics: daily revenue vs. target, transaction count, average transaction value, inventory level vs. reorder point, staff attendance rate, on-time delivery rate, customer complaint count, new customers this week, returning customers this week, gross margin this week, cash in bank, and outstanding payables. For each: target, data source, and action trigger when below target. # Goal Produce the exact deliverable requested for this use-case. Make the output practical, specific, and ready to use. # Constraints - Use the user's variables exactly where relevant. - Avoid generic filler and vague advice. - Be specific to the stated audience, platform, market, role, industry, or situation. - Ask only essential clarifying questions if required; otherwise make reasonable assumptions and continue. # Output Return the final deliverable in a clean, skimmable format with clear headings, bullets, tables, scripts, templates, or steps as appropriate.
{{double-curly}} with your real context.When operational decisions are made by feel rather than data.
Track both 'revenue' and 'transaction count' separately — if revenue is up but transaction count is down, you're selling higher-value items to fewer customers, which is a different business health signal than growth.
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