Abstract
Retrospective (retro) sessions are an important part of Agile/Scrum process for software development. In theory, conducting retro sessions each sprint should improve team dynamics and productivity. In praxis, retro sessions also have some disadvantages/hurdles that are hard to overcome: they are non-anonymous and time consuming. The goal of our project, conducted in collaboration between Shine Solutions and RMIT University, is to analyse the existing hurdles from industry-prospective and to provide an AI-based solution to overcome them. The two main outcomes of the project are (1) a web-based solution to support retro-sessions, and (2) a qualitative analysis of two speech recognition tools, Google Home and Amazon Alexa, to be connected with the elaborated solution to populate the retro board and help in time boxing a retro by using voice activated commands.
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