MLY: AI Qualitative Analysis Software for Higher Education

Institutions Worldwide Trust MLY for Qualitative Analysis

Understand Student Sentiment at Scale

MLY is purpose-built to understand student feedback. Built using real student comments, MLY provides a nuanced analysis of qualitative feedback, including sentiment analysis and thematic categorization covering over 1000 topics specific to the student experience.

Simplify Survey Redaction

Streamline redaction processes with Explorance MLY. Easily redact sensitive information from student feedback such as personal names or abusive language and protect the psychological safety of instructors while maintaining valuable insights to improve teaching and learning.

Be Proactive with Student Feedback

Uncover pressing issues and topics found in feedback without reading each individual comment. Explorance MLY highlights comments that may contain inappropriate behavior, discriminatory language, and other sensitive topics for you to act quickly and effectively.

Ready-to-act Recommendations

Use crowdsourced recommendations on what your institution should start/stop/continue doing to drive improvement. Focus resources on high-impact areas and close the feedback loop for immediate results.

Testimonials

What Explorance Clients Are Saying About MLY

“We are very excited to have acquired MLY, which will be an invaluable tool for our campus community. With MLY, we look forward to providing instructors with high-quality feedback analysis and actionable insights that they can use to foster and innovate the teaching and learning experience.”

Anne Grunden

Program Manager, Student Evaluation of Instruction

“From where we were, to where we are now, has been a complete overhaul. Even with the number of comments we put in, 50,000 in one go, I am still baffled by how quickly MLY does the analysis once you have got it into the system to then being able to look at it within a matter of hours.”

Daniel Bayes

Teaching and Learning Officer (Student Voice and Feedback)

“The pre-trained models were a key difference for us because other off-the-shelf text analytics tools weren’t trained using Higher Education comments. With MLY, we’re speaking the same language.”

Meagan Morrissey

Manager of Student and Staff Insights

“With MLY, we have gone from analysing around 6000-7000 NSS comments per year to being able to analyse in the region of 32,000-35,000 comments across multiple internal and external datasets across the last academic year alone.”

Matthew Abley

Institutional Research Analyst

Share Feedback Insights Institution-wide

Share and collaborate with key stakeholders across teams and departments to track sentiment, identify top improvement areas, and make informed decisions across your institution.

Collect Feedback from Anywhere

No matter where you are collecting feedback, MLY’s source-agnostic capabilities enable you to analyze comments from any platform. Analyze feedback from survey comments, course evaluations, online forums, discussions boards, social media, and more, all in one place.

Keeping the Human in AI

Our model is developed using real student comments provided by partnering institutions around the world. All data entering the model undergoes a supervised learning approach, that includes a strict 3-step blind annotation process to ensure the highest-quality insights.