Who Needs Dashboards?
summary
Argues that dashboards must match audience and purpose and defines four dashboard levels — business intelligence, management information, operational and development — using a biscuit-factory example where a TV-ad campaign is measured against KPIs; describes a crude but effective HTML+Excel prototype that visualizes progress toward an 8M shekels goal (slide later shows 18M), and reports using Elastic for centralized logging; shows that a lightweight dashboard increased cross‑team visibility and drove conversations that actually changed behavior.
AI-written summary · about
chapters (6)
- 0:00Start
- 21:38DON'T KNOW WHAT THE METRICS ARE FOR
- 23:03TICK BOX EXERCISE
- 24:55WE HAVE ONE PERSON THAT MAKES ALL OUR DASHBOARDS
- 34:48HOW CAN I PICK WHICH TOOL TO USE THEN?
- 38:46WHO NEEDS DASHBOARDS?
related talks
35mWho Needs Dashboards?
45mCreating & Maintaining Impactful Dashboards'
37mMaking Informed Decisions: Guidelines for Creating an Effective Dashboard
41mEffective Dashboard Design Using
53mDashboards: interactive data visualization
49mDesigning Accessible Dashboards
59mClear and Presentation Danger
27mVisual Design - Do not let Data be your cul-de-sac!
