In an ongoing Kaken-funded research project, an online software was developed that supports learners as they progress through the steps of a group oral discussion task. During the activity, students transcribed their own voices. Later, they were presented with metrics regarding their contributions to the conversation including number of words spoken, number of turns taken, average words spoken per turn, number of words spoken during longest turn, number of pre-selected target words spoken, number of questions asked, and an accuracy percentage based on an automatic speech recognition (ASR) technology. Learners were prompted to use these data for self-assessment and goal setting, while teachers and researchers could access the data for pedagogical and research agendas. Data from a previous study (Author, 2019) using the same task sequence showed growth over time for total words spoken and average turn length. In this presentation, the principal investigator discusses some of the preliminary results gleaned from new research, particularly regarding the accuracy of students’ transcriptions. Attendees interested in using this online software for their own classes or participating in future research projects are offered free access and support.