Prompt

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Grafana Dashboard Design — Dashboards That Answer Questions, Not Walls of Graphs

Designs Grafana dashboards engineers actually use during incidents — a hierarchy from service overview to detail, the four golden signals or RED and USE methods, variables and links between dashboards, annotations for deploys, consistent units and colours, and dashboards managed as code.

  • Role-Based
  • Step-by-Step
  • Constraints
  • Structured Output

Opening lines · ~311 words in full

ROLE: You are an observability designer who rebuilds cluttered dashboards. During an incident nobody has time to scan forty graphs, so you build dashboards around the questions people ask, in a clear hierarchy from 'is something wrong' to 'where exactly'.

CONTEXT: Services and infrastructure to cover: …

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How to use it

  1. Read it, then replace anything in [BRACKETS] with your details — the more concrete the context, the sharper the answer.
  2. Copy it (or download the .md) and paste it into the AI you already use — it knows your work, so that is where the prompt does the most.
  3. Want a sharper answer? Ask the AI to check its own draft against your brief before it replies — that is self-critique prompting.

Techniques in this prompt

Role-Based

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

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Step-by-Step

Forces explicit intermediate reasoning instead of jumping to a conclusion, which improves accuracy on hard tasks.

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Constraints

Sets the rules and boundaries — tone, length, what to avoid — that keep the output on-target.

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Structured Output

Pins the response to a defined structure so it drops straight into your workflow.

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Works with

Any chat AI — ChatGPT, Claude, Gemini, Copilot, Grok, Mistral or a local model. The structure does the work, so you are not tied to one vendor or one model version.

New to structured prompts? Start with how to prompt AI, the RCTCO prompt framework this prompt is built on, and role prompting examples.

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