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Data Dashboard Spec

Turn stakeholder questions, metric definitions, data needs, and design constraints into a dashboard specification.

USE CASE OUTCOME

From underspecified dashboard asks to a build-ready dashboard spec.

Data Dashboard Spec helps teams define audience, metrics, filters, data sources, views, and acceptance criteria before engineering work starts.

Before

Dashboard asks are underspecified

Teams know they need a dashboard, but metric definitions, user tasks, filters, and data constraints are still unclear.

  • Business questions
  • Metrics
  • Data sources

After

Dashboard spec ready for build

DearClaw produces metric definitions, layout sections, filter rules, data needs, edge states, and validation checks.

  • Metric definitions
  • Layout
  • Validation

HOW IT RUNS

How Data Dashboard Spec runs inside DearClaw.

Start with stakeholder questions, metric goals, source notes, and reporting needs. DearClaw turns them into a dashboard spec.
Data Dashboard Spec running inside a focused DearClaw workspace.
Pipeline4 stages
01Clarify questionsAudience · decisions · cadence
02Define metricsFields · filters · sources
03Plan displayViews · states · acceptance
04Final resultSpec · build checklist

QUICK ANSWERS

Answers before installing.

Direct answers for people comparing whether this DearStore use case fits their work.

What does Data Dashboard Spec do?

Turn stakeholder questions, metric definitions, data needs, and design constraints into a dashboard specification.

Who is Data Dashboard Spec for?

Data Dashboard Spec is for teams working on data use cases in DearClaw.

What inputs does Data Dashboard Spec need?

Start with goal: Specify a dashboard, material: Questions, metrics, data notes, and result: Dashboard spec.

What output does Data Dashboard Spec produce?

Data Dashboard Spec produces Metric definitions, Layout, and Validation.

How does Data Dashboard Spec run inside DearClaw?

Start with stakeholder questions, metric goals, source notes, and reporting needs. DearClaw turns them into a dashboard spec.

What are the limits and fit for Data Dashboard Spec?

It fits repeatable knowledge work when the user can provide useful source material and review the result before acting. It should not replace final judgment, approvals, or source-of-truth systems.

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