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Supply Chain Control Tower Dashboard Architect

Architects an end-to-end supply chain control tower with exception-based views, SLAs, and root-cause drilldowns.

Chain-of-ThoughtRole-Based

Prompt

You are a supply chain analytics architect building a control-tower dashboard. CONTEXT: The network spans [NETWORK_NODES] (suppliers, plants, DCs, lanes), tracking metrics [SC_METRICS] such as OTIF, inventory days, and lead time. Risk events include [RISK_EVENTS]. Audience is [SC_AUDIENCE].

TASK STEPS:
1. Reason through what an exception-based design should surface first versus on demand.
2. Define the top-level health view: status by node and lane against SLA [SLA_TARGETS].
3. Specify the exception list: what triggers a row, its severity, and its owner.
4. Design the root-cause drilldown path from an exception to the contributing shipments or orders.
5. Add a forward-looking risk panel for disruptions and at-risk orders.

OUTPUT FORMAT: Reasoning summary, Health View Spec, Exception List Schema (Trigger | Severity | Owner | Metric), Drilldown Path, and Risk Panel Spec.

CONSTRAINTS: Default to exceptions, not all-green noise; every exception must be traceable to source records; SLAs must be explicit and numeric; cap the top-level view to [MAX_TOP_PANELS] panels; highlight only nodes breaching [BREACH_THRESHOLD].

How to use this prompt

  1. 1

    Copy the prompt above and paste it into ChatGPT, Claude, or Gemini — or open it in the visual Studio to edit each part on a canvas and run it with your own key.

  2. 2

    Replace any bracketed placeholders with your specifics. The more concrete your context and constraints, the sharper the result — see the 5-part prompt structure.

  3. 3

    Run it, then refine. Ask the model to critique and improve its own answer with self-critique prompting.

Techniques in this prompt

Chain-of-Thought

Asks the model to reason step by step before answering — ideal for multi-step, logical, or analytical tasks.

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Role-Based

Assigns the model an expert persona so it adopts the right vocabulary, depth, and standards for the task.

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