Modern life is about maximising human energy. It embraces a new type of lightweight productivity and helps modern achievers to focus their energy, time, and attention on doing what they love. To get work done, one uses multiple productivity tools, and their information is scattered across these productivity tools. Comprehension of this information is troublesome as activities are fragmented across applications. It requires hopping between multiple applications which are fighting to get attention. The idea was to rethink the Office web tools to minimise the work done to get work done so that the modern achievers could focus on work-life fulfilment. The solution delves into machine learning systems to provide relevant actions and information at the right time. The system needs to learn from the user constantly and assesses their activity over time. The project identifies key intervention areas in an existing suite of products, introducing new interaction patterns without disrupting the existing formed behaviours.
Keywords: information management, machine learning, office productivity, relevance framework, work management