You've analysed the data. You've built the charts. You've put them in front of your audience. So why aren't they getting it?
In this episode, we explore the Data Journey, a simple way of understanding what needs to happen between raw information and an audience. We unpack the important distinction between exploring data to understand it yourself, and explaining it so somebody else can understand it. And why confusing those two legs causes so many problems.
Also, diagnose the three broken data journeys we see regularly: the Data Decorator, the Data Dumper and the Data Cameo. From dashboards packed with charts but no insight, analysis that seems obvious only because you've stared at it for days, to starting with the conclusion and hunting for evidence afterwards, we look at why each happens and the questions you can ask to avoid them.
What You'll Learn:
The difference between exploring data and explaining it
Where data storytelling actually fits in the journey from information to audience
Why visualising data isn't the same as communicating an insight
How to recognise when you've become a Data Decorator
Why the curse of knowledge turns good analysts into Data Dumpers
How expecting your audience to interpret your charts can make them feel like they're "not a numbers person"
The dangerous difference between testing a hypothesis and proving a conclusion
How to recognise when you're using data to confirm the story you already wanted to tell
Practical questions to diagnose where your own data journey might be broken
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