Data Question Map workshop
Tired of creating Frankenstein dashboards that never get used?
In this 50 mins online workshop we'll show you how to decode mysterious user requirements using the Chart Doktor's Data Question technique.
The interviewing questions will spark meaningful conversations with your users that give you deep insights into their problems and also how to solve them with the available data.Learn more
Coaching program for teams
The Iconic Data Design Bootcamp is an online coaching program that will give your team the practical design skills needed to create data visualizations for data products.
Designed for product leaders, UX designers, data scientists, analysts and software developers - this program will teach you the exact formula that I use to assess the quality of data visualizations and develop design solutions that solve the toughest visualization challenges of my clients.
Let's create together!
Hi, I'm Evelyn, and I have been creating data products since 12 years. I've learned the hard way how to build user-centric data UIs - and I'd love to share my knowledge with you!
More about me
Hi, and I'm Christoph.
As an analytics professional I have been engaged with data products my whole career.
I have always been fascinated by how they work in general and how they can best provide insights for decision making.
More about me
Need some visual inspiration?
Look at my articles, talks and videos.
The cycle of encoding and decoding
How does data visualization work?
Data visualizations are basically the double encoding of a complex system. Thus, the readers of data visualizations need to go through specific steps of decoding in order to understand and interpret the data and the underlying system.
Jack the checker
Sometimes a data product can profit immensely from an explainer video. I created this video about a little robot for my client.
Are you drowning in a flood of bills and invoices? Find out how Jack the Checker can help you. Besides, learn more about robotic process automation and (finally!) understand the confusion matrix.
What, this bot makes errors?? How to explain AI to managers
My short 15 mins talk at the Amsterdam Data Viz & Data Science Meetup.
Here I aim to explore how visualizations can be used to show artificial intelligence errors to build user trust.
Figurative process visualization
The problem with dashboards is that they can rarely show the influence of multiple factors simultaneously. So I developed a new type of visualization that allows to identify correlations and potential for improvement in the applicant process.
9 Design Pitfalls on the Way to a Successful Data Product
Data visualization products are a completely new terrain and require an extended design strategy.
User interfaces for data products have the task of making complexity understandable for the user. Anyone who wants to build a data product that needs to communicate data and complex models to users faces a special challenge with an unexpectedly high level of difficulty.
Dr. Lenz Kröck
Chief Product Officer, Navigance GmbH, Munich, Germany
Easy to grasp UI for highly complex datasets
"Evelyn has been a key contributor to creating a user interface that has been acknowledged by our customers as easy to grasp, even though the underlying datasets and systems are highly complex."
Software Engineering Executive, Washington D.C.
Blending statistical know-how with design expertise
"Evelyn and her team are masters at blending statistical know-how with design expertise. She created an outcome that we had not imagined and would not have come up with on our own."
Dr. Michael Prohaska
CEO, the tean, Vienna, Austria
Rapid understanding of robotic processes
"Evelyn created a user interface for business experts and a sensational picture story to enable rapid and enduring understanding of robotic processes even by AI laymen."
Dr. Boris Mouzykantskii
Founder, Chief Executive Officer & Chief Scientist, IPONWEB, Moscow
Explaining complicated math like in seconds
"Evelyn was spot on with all explanations, she came back with a beautiful animation for a 3D geometrical concept that did explain the core idea like in seconds. If I did not witness this myself I would not have thought it was possible."
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