We started by interviewing Sanoma’s journalists and editors to understand the practices and challenges of the article creation process. We also discussed how the assistive information should be delivered. It soon became clear that faster access to Sanoma’s content, like graphics, images and other enrichments, would help, and that the required amount of data for utilizing it existed.
Based on insights gathered, we co-created Hennibot, an editorial assistant that helps journalists create engaging, high-quality content by leveraging multiple AI-driven tools and analyzing texts using a variety of data sources from inside and outside Sanoma.
Co-creating the AI-services with Sanoma’s data scientists helped us combine existing tools to deliver fast results. By utilizing these tools, Hennibot analyzes Sanoma’s previous articles and compares the written texts to those performing well, e.g. in terms of reading rates, read times, shares and feedback. The assistive information is shown on a visually clear dashboard. Journalists participated in every step of the design process to ensure Hennibot’s usability.