Study dashboard composition references and extract reusable lessons

Problem

Define a repeatable way to study admired dashboard compositions larger than single charts, collect reference artifacts, and convert what is learned into reusable Dataface dashboard-level design guidance.

Context

• Most current design discussion is chart-level, while dashboard-level composition decisions remain under-captured.
• The team needs a repeatable study method, not occasional subjective inspiration gathering.
• Lessons must end as reusable guidance for Dataface dashboards, not just a mood board.

Possible Solutions

• A - Collect screenshots informally and let designers infer lessons later: useful for inspiration, but weak as a reusable method.
• B - Write a large abstract dashboard-design doctrine without structured reference study: ambitious, but not grounded enough.
• C - Recommended: create a repeatable reference-study template that captures composition traits, extracts reusable lessons, and turns them into dashboard-level guidance artifacts.

Plan

1. Define the study template for reference collection and lesson extraction.
2. Review a small set of admired dashboards across different composition styles.
3. Distill recurring patterns into reusable guidance with examples and anti-patterns.
4. Publish the first guidance set and note follow-up gaps for factory and graph-library work.

Implementation Progress

QA Exploration

• [ ] QA exploration completed (or N/A for non-UI tasks)

Review Feedback

• [ ] Review cleared