Page 309 - The Design Thinking Playbook

EXPERT TIP

Toolbox for the hybrid model

We recommend having a combined toolbox ready that contains the usual methods of design thinking and the tools from data science. As in
design thinking, the critical point is: use the right method at the right point in time. There are many useful methods in design thinking that are
easy to apply and quick to learn for everybody. In data science, things are a little more complicated because many tools require expert knowl-
edge. But there is hope that more and more tools are being established that are user-friendly and can be used to perform data analysis without
programming skills and expert knowledge. In addition, an increasing number of companies train their employees to acquire these skills. We
have had very good experiences with Tableau. This is an easy-to-use tool. It also has a “back” functionality, if something goes wrong in the data
experiments.

Interview for
empathy Empathy “How might we”
Design map Prototype
challenge Core Brainstorming Testing with
beliefs Feedback
Bodystorming capture grid user

Pilot

Statistical tools Business Predictive Machine learning
intelligence analytics platform
Data mining / Visualization
exploration
Deep learning

Programming language, data sources tools, data preparation tools, data discovery tools

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