The problem: we expect everyone to adapt and be able to analyze and explore our visualizations. The reality: you’re forcing end-users to adapt to the viz rather than adapting it to their needs.

Key Meeting Insights:
You need to know your audience when building a dashboard. Think about:
-- What does your audience do? What is their role?
-- Why are they coming to you? What do they need?
-- What drives the decisions they make?
Your visuals should behave like text does: context is key.
-- Is the visual help driving the decision? If it’s just nice to look at- then take it out.
-- Everything in a dashboard should help drive a decision.
-- Where can things go wrong in a dashboard?
-- Too much focus on visuals and not on context.
-- Don’t go too broad with your dashboard, have an audience in mind.
-- Understand that not everyone is analytically minded.
How can you win over dashboard users?
-- Do a discovery phase and interview stakeholders in advance.
--Understand their current state and get an idea of their ideal outcome
-- Know what you need to show in advance- what are the requirements
-- How are they going to use the data?
-- Sandbox and version- test out your dashboards in advance. Show all stakeholders how to use and interact with the dashboard. Get feedback and make edits.