Analytics Visualization Patterns Skill

When to Use

• Planning a new dashboard or updating existing visualizations.

• Coaching teams on self-serve analytics adoption.

• Auditing visual design, accessibility, and narrative clarity.

Framework

• Audience & Story – clarify persona, decision cadence, and key questions.

• Layout & Hierarchy – organize tiles by funnel (overview → drill-down → diagnostic), highlight KPIs.

• Chart Selection – match metric type to chart (trend, composition, comparison, distribution).

• Accessibility – color contrast, labels, tooltips, mobile/responsive considerations.

• Narrative & Actions – annotate insights, embed CTA buttons or playbook links.

Templates

• Dashboard wireframe grid with KPI slots.

• Metric dictionary (definition, source, owner, refresh schedule).

• Adoption checklist (stakeholder review, enablement session, feedback form).

Tips

• Keep hero KPIs at top-left with trend vs target.

• Use consistent color palettes for good/bad variance.

• Embed documentation or Loom walkthroughs directly in BI tool when possible.