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Dashboard

As explained in The Art of AI Product Development

A dashboard is a user interface that presents data through organized tables, visualizations, and controls.

A dashboard is a user interface that organizes data through tables, visualizations, and controls. Its value is not determined by visual polish alone: a crowded dashboard may satisfy information requirements while leaving users unable to find or use much of its capability. section 1.1

A dashboard can support an AI-assisted workflow by:

  • Showing relevant data points after a user selects a topic. section 10.2.1
  • Providing controls for output length and desired style before generation. section 10.2.1
  • Explaining generation progress and warning about missing data before users rely on results. section 10.2.1
  • Supporting verification through source links, confidence scores, explanations, and editing options. section 10.2.1

Financial analytics and sustainability reporting

A financial analytics dashboard serves investment professionals with extensive tables and visualizations, but users access only a fraction of its capabilities. A redesigned dashboard for a sustainability manager presents carbon-emissions data, lets him configure a factual report draft, explains the generation process, and flags content requiring review. section 1.1 section 10.2.1

How The Art of AI Product Development covers it

How deep it goes
Shows dashboards through concrete interface flows, but stops short of implementation details or general information-architecture principles.
Examples
Uses financial analytics and carbon-emissions reporting to contrast crowded information displays with guided, reviewable AI interactions.
What it assumes
Assumes familiarity with data-oriented work, while showing the interface accommodating users from investment and financial backgrounds.
What you can do after
Operate dashboards to inspect data, configure generated outputs, understand system progress, and review uncertain results.
How it connects
Connects dashboards with tables, visualizations, controls, conversational interfaces, source links, confidence scores, and user feedback.
Cover of The Art of AI Product Development
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This explainer was generated by Manning's knowledge graph from the text of The Art of AI Product Development. The section links point to the parts of the book it draws on.