A few months ago we were excited to announce that we earned a second round funding for our project POST – a tool for journalists helping them to make a better usage of data analytics in their daily work. As we hope, POST will shape the future of data driven journalism by combining data analysis with a chatbot. Last year we were able to build a first prototype, and now the second round of funding allows us to actually build the product.
In monthly updates we will share our progress, as well as our biggest challenges and even failures. We talked to Allegra, scrum master on the project to review the results of last month's work.
Allegra, what was the starting point for your work on POST?
Our first idea for POST was the result of our collaboration with many different editorial teams from the leading German and European newspapers and magazines in the past years. Our participation in the digital transformation of the publishing industry gave us a lot of insights into challenges and workflows of the editorial teams. We’ve developed not only a deep understanding of digital journalism today but a vision of the future of journalism. Based on that, we’ve decided, that we want to take that knowledge and turn it into something that will shape this future. We wanted to build a tool that not only makes the lives of journalists easier, but also adds another layer of quality to their work.
During our first research phase for POST we interviewed all our contacts and when developing the prototype we always involved them for testing. Their contribution was of an enormous help to develop our idea further and align it with their actual needs. After building our prototype last year, we had to apply for a new round of funding with Google DNI and when we won the new one we were able to start developing the product in September 2017.