MLY’s learning model is specifically developed for L&D and trained solely on genuine training survey comments. MLY analyzes comments and identifies key topics, provides nuanced sentiment analysis, highlights recommendations, and surfaces any alert from comments that require immediate attention. All these capabilities help you uncover hidden issues and correlations that may otherwise go unnoticed in more traditional quantitative analysis.

MLY analyzes qualitative data and summarizes that data into quantitative feedback and insights such as sentiments, alerts, recommendations, and topics. Using Natural Language Processing (NLP), MLY can recognize hidden patterns and correlations in the data, cluster and classify them, and by processing more and more data continuously learn and improve.

Explorance uses a supervised machine learning approach to train MLY. This ensures MLY is only trained with comments that have been formally approved via an in-house blind annotation process. This process has three annotators work independently of one another, where the resulting comment is only approved if all three unanimously agree upon the interpretation.

MLY’s primary strengths are its specialized categorization and actionable insights. Built to understand the student and employee experience, the analysis results in more targeted and relevant insights with themes and terminology specific to the topic. Additionally, MLY enables the actionability of the insights through its Recommendations and Alerts models, providing a starting point for the most critical themes that arise from the data.

Explorance MLY is source-agnostic and can analyze any type of written text. Any comments provided through official channels can be assessed using the AI solution, including internal employee surveys, pulse surveys, town hall follow-ups, and feedback shared on third-party sites like Glassdoor, social media platforms, and more.

Employees are more likely to share feedback on third-party websites, which makes a source-agnostic solution so much more valuable. It allows you to capture the authentic voice of your employees beyond the direct feedback you may already be collecting internally.