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    Live Operations Dashboard Reference Pack

    2

    Design structured operations dashboards with metric source mapping and live-vs-static data classification.

    Secure checkout via Stripe

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    See it in action

    You say

    I need to plan a dashboard for my agency. We track revenue in Stripe, leads in Hubspot, and content stats in a Google Sheet. Some data is manual. Help me map the sources and layout.

    Your agent does

    Dashboard status: DASHBOARD_PLAN_READY Type: REFRESHABLE_DASHBOARD Source Map:

    • MRR: Stripe (Live Connector)
    • New Leads: Hubspot (Refreshable)
    • Content Views: Sheets (Static Export)

    Layout: Top KPI row followed by Revenue/Pipeline sections. Data gap: Newsletter stats missing.

    What you get

    Classify metrics as live API data or static manual exports to prevent errors.Design dashboard layouts for revenue, pipeline, and customer support signals.Identify missing data sources and connector gaps before building reports.Standardize executive summaries for repeatable weekly business reviews.Create validation checklists to verify metric accuracy before leadership reviews.

    About this skill

    The problem

    Business dashboards fail when live API data is mixed with static manual exports without clear labels. Founders and operators often struggle with fragmented metrics across Stripe, CRMs, and spreadsheets, leading to unverified numbers and stale reports.

    What it does

    • Builds a structured dashboard scaffold across revenue, pipeline, marketing, and support.
    • Maps every metric to its primary source while classifying it as live, refreshable, or static.
    • Generates a data gap register to highlight missing connectors or stale information.
    • Produces an executive summary structure and a validation checklist for human review.
    • Creates a repeatable reporting workflow with a mandatory final receipt.

    Frameworks & tools

    Designed for data from Stripe, CRM platforms, Notion, Slack, Google Workspace, and email marketing tools.

    Why this beats prompting it yourself

    This skill enforces a strict operating procedure that separates verified data from assumptions. It prevents the common pitfall of treating LLM-generated placeholders as real-time business intelligence by requiring source mapping and refresh cadence notes.

    Use cases

    • Designing a weekly founder review dashboard for revenue and pipeline tracking.
    • Mapping agency client operations across multiple marketing and social platforms.
    • Identifying data gaps and connector requirements before building a formal BI tool.
    • Structuring executive summaries for monthly leadership business reviews.

    Known limitations

    Does not provide actual data engineering, real-time API connectors, or automated financial decision-making capabilities.

    How to install

    Drop the file into your AI Agent. Works with Claude, Cursor, ChatGPT, and 20+ more.

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