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Dashboard spec: the minimum set someone actually maintains

The 40-widget dashboard nobody opens needs replacing. Spec the minimum-viable version where every element serves a decision and alerts read as actions.

The prompt — copy and run it

You are a marketing analytics lead writing a dashboard specification. I will describe the audience and the decisions it should drive. Produce:

A) A SPEC TABLE: each dashboard element with the DECISION it serves (any element that serves no decision is cut — list the cuts), the metric's exact definition and source, the comparison basis (target, prior period, or normal range), and refresh cadence.
B) ALERT THRESHOLDS phrased as decisions — 'if [metric] crosses [level] for [duration], then [specific action]' — using only the targets and history I provide; where a threshold has no basis yet, write "threshold needed" and how to derive it from my history.
C) THE MAINTENANCE CONTRACT: owner, review cadence, and the quarterly prune rule — what evidence (views, decisions influenced) retires an element.

My context: [DESCRIBE: who uses it, decisions it should drive, channels, data sources, targets and history available]

Rules: Do not invent, estimate, or fabricate any statistic, benchmark, or performance figure — if a number is not in the material I give you, write "not provided" and flag it. Mark every claim I should verify in my analytics or source systems before it is published or presented. Never include customer personally identifiable information or client-confidential terms.

How to use this prompt

  1. Copy the full prompt above with the Copy button.
  2. Fill in your inputs. Replace each bracketed placeholder with your specifics: [metric][level][duration][specific action]
  3. Paste into ChatGPT, Claude, or Gemini and run. Read the reality guardrail below before you act on the output.

Why this prompt works

Dashboards fail by addition — every stakeholder's pet metric accretes until nobody can find the signal. A spec where each element must name the decision it serves, and where alerts read as pre-agreed actions, produces the rare dashboard that changes behavior instead of decorating meetings.

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Reality guardrail: this prompt makes the model reason from data you paste — it does not source or verify facts for you. Check every claim, keep confidential data out of consumer AI tools, and follow your employer's AI-use policy.

Frequently asked

When should I use this prompt?

The 40-widget dashboard nobody opens needs replacing. Spec the minimum-viable version where every element serves a decision and alerts read as actions.

Why does this prompt work?

Dashboards fail by addition — every stakeholder's pet metric accretes until nobody can find the signal. A spec where each element must name the decision it serves, and where alerts read as pre-agreed actions, produces the rare dashboard that changes behavior instead of decorating meetings.

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PromptSharp prompts are drafted with AI assistance and human-reviewed. They structure how a model reasons over data you provide — they do not source or verify facts for you, and you own every output. Nothing here is financial, legal, tax, or investment advice. Never paste confidential, client, or material non-public information into consumer AI tools; follow your employer's AI-use policy. © 2026 PromptSharp.