Design sprint / discovery sprint

Design sprints/discovery sprints are a method to allow our customers to answer mission-critical questions in just three to five days by creating and testing a prototype.

In the digital age, the speed at which companies have to adapt to change has increased enormously. Design sprints stand out thanks to their speed and compress a brainstorming and experimentation phase, which would often take several weeks in the past, down to just one week.

The goal is to test one or more potential solutions by providing users with a high-fidelity prototype. This provides the team with valuable insights from the target market and the target group at an early stage, which means the development of the products and features can be continued in a much more focused way and with a greater chance of success.

The structure of a design sprint

The design sprint typically starts with an intuitive discussion of the challenge to the business. Once a common understanding has been reached, we develop versatile solutions together with the customer in a creative phase, and then combine and refine them. This is followed by the implementation of one or more of the innovation ideas in prototype form, which we then test with real users at the end of the design sprint.  

Structure of a design sprint

In addition to the moderator, we can also provide experts from our cross-functional teams for a design sprint if required. We are happy to flexibly support you with our agile knowledge, our UX/UI expertise and our technological know-how.

Would you like a consultation on this subject?

Call us or send us an E-Mail. We look forward to advising you.

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Collin Rogowski

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Collin Rogowski

Head of inovex Academy

inovex Blog

Dr. Christoph Tempich I 24.04.2017

Data products: 5 success factors make the difference

Both in the USA and in Europe, there is talk of imposing stricter regulations on companies which consider data as the foundation of their business model. While there are obviously some firms which have a particularly thorough grasp of how to monetise their data, there are also a great many companies which are interested in doing so, but which have been less successful in their attempts. We have, therefore, examined the similarities in the business models of successful data-centric companies and determined five key factors for success.

Read the blog article (in German)