Hear Every Student Voice with MLY Qualitative Analysis

Identify sentiment, trends, and opportunities for improvement across your institution to enhance your student experience by turning open-ended feedback into actionable insights.

MLY

Qualitative Analysis You Can Trust

500K+

Alerts Highlighted

30M+

Comment Insights Generated

5M+

Recommendations Provided

Institutions Worldwide Trust Explorance

Qualitative Analysis Can Be Difficult, Costly, and Time-Consuming

Whether it's manual human-read analysis or thematic coding with text analytics, qualitative analysis of student comments is often disregarded due to its resource-intensive nature. If that happens, you may be ignoring crucial insights about the student experience.

Accurately Analyze and Quantify Student Comments in Minutes

Explorance MLY uses purpose-built machine learning to categorize student comments by topic, detect sentiment, identify areas of improvement, and highlight pressing issues.

Uncover Student Feedback Insights Across 900+ Topics

Pre-built MLY models categorize comments across more than 900 student experience topics and detect sentiment. Use the results to inform institutional strategy.

Redact Sensitive Feedback

Redact sensitive student feedback with ease. Remove Personally Identifiable Information (PII), offensive, or discriminatory comments across languages, maintain student anonymity, and ensure course evaluations focus on teaching effectiveness

Foster an Inclusive Learning Environment

Empower a safe, equitable learning environment by quickly flagging inappropriate behavior, discriminatory language, and any other pressing issues present in student feedback before they escalate.

Close the Feedback Loop Quickly and Effectively

Simplify the presentation of qualitative analysis for faculty and academic staff with crowdsourced recommendations. Get a clear picture of what students are saying and quickly act on trending topics your institution should do more or less of, change, or continue doing.

Understand Every Student Voice, Everywhere

Confidently analyze multilingual student feedback without losing context or anonymity. Accurate interpretation across languages ensures every perspective is heard and understood, empowering institutions to make informed decisions that reflect the full diversity of the student experience.

Amplify Your Student Voice Across All Platforms

Capture feedback and ensure no student’s voice is left unheard. With MLY, you can analyze student feedback from any source including survey comments, review platforms, social media posts, and online forums.

Award-winning Feedback Analytics Tools

Explorance's software solution has garnered numerous awards throughout its history, including being named Gold Winner for AI in Education at the 2024 QS Reimagine Education Awards. Find out how Blue, MLY, and the rest of the tech stack are shaping the future of feedback for organizations everywhere.

Accurately Capture the Voice of Your Students and Employees

Explorance MLY mi-lee uses machine learning to turn millions of feedback data points into topics, sentiment, recommendations, and alerts you can act on.

Accurately Capture the Voice of Your Students and Employees

Explorance MLY mi-lee uses machine learning to turn millions of feedback data points into topics, sentiment, recommendations, and alerts you can act on.

Streamline Feedback Analysis for Impactful Actions

Consistently analyze large amounts of feedback, derive actionable insights, and cut down months of work into minutes by processing and analyzing up to 400,000 comments simultaneously with machine learning. Accelerate the insight to action cycle and close the feedback loop with evidenced impact.

Stay Informed with Continuous, Relevant Insights

Explorance trains MLY with a supervised machine learning approach on comments approved through annotation. Decision-makers get insights that reflect ongoing themes in higher education, not generic summaries.

Testimonials

Why Organizations Worldwide Love Using MLY

“Our team's dedication and expertise in harnessing the power of MLY to derive actionable intelligence from unstructured data sets us apart in the field and this is only made possible by the strong partnership between Explorance and University of Newcastle.”

Meagan Morrissey

Manager of Student and Staff Insights

“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)

“Adding MLY to LJMU’s portfolio of analytical tools has enhanced understanding of student needs and improved the student experience by providing faster, real-time analysis without the need for lengthy manual data processing.”

Fenna Boerkamp

Institutional Research and Evaluation Officer

“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

Explain Quantitative Results with Qualitative Analysis

Combine and contrast quantitative results with qualitative analysis to understand the “why” behind what your students are saying. Go beyond traditional metrics by adding specific context and nuances that can go undetected when you use quantitative data analysis alone.

Listen to Students Throughout Their Academic Journey

Students provide their feedback throughout their entire academic journey at your institution. Make the campus-wide student voice count from application to alumni by proactively demonstrating a commitment to their feedback.

Enable Decision-makers to Drive Institutional Change

Empower key stakeholders to autonomously explore insights and identify improvement opportunities with role-based dashboards and reporting. Deliver personalized analyses for any level at your institution and accelerate the insight-to-action cycle.

Case Studies

Discover Explorance MLY Success Stories

Case Study

Liverpool John Moores University: Analyzing the Student Voice with the Help of AI

Case Study

University of Newcastle: Amplifying the Student Voice with AI-powered Qualitative Analysis

Case Study

University of Westminster: Leveraging AI-powered Qualitative Analysis for the NSS and Beyond

FAQ

Qualitative Analysis for Higher Education FAQs

Any other questions?

How does MLY help analyze feedback in higher education?

MLY’s student experience model is purpose-built for higher education. Explorance trained it on student comments annotated by people, using domain-specific themes and terminology. 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.

How does MLY work?

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 improve as it processes more data over time.

How is MLY trained?

Explorance uses a supervised machine learning approach to train MLY. This methodology ensures MLY is trained only on comments formally approved through an in-house blind annotation process. This process uses three annotators working independently, and a comment is approved only if all three unanimously agree on the interpretation.

How is MLY different from platforms like ChatGPT?

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

What type of comment can be analyzed with Explorance MLY?

Explorance MLY is source-agnostic and can analyze any type of written text. Any comments provided through official channels can be assessed using the 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.

Hear Every Student Voice with MLY Qualitative Analysis

Qualitative Analysis You Can Trust

Institutions Worldwide Trust Explorance

Qualitative Analysis Can Be Difficult, Costly, and Time-Consuming

Accurately Analyze and Quantify Student Comments in Minutes

Uncover Student Feedback Insights Across 900+ Topics

Redact Sensitive Feedback

Foster an Inclusive Learning Environment

Close the Feedback Loop Quickly and Effectively

Understand Every Student Voice, Everywhere

Amplify Your Student Voice Across All Platforms

Award-winning Feedback Analytics Tools

Accurately Capture the Voice of Your Students and Employees

Accurately Capture the Voice of Your Students and Employees

Streamline Feedback Analysis for Impactful Actions

Stay Informed with Continuous, Relevant Insights

Why Organizations Worldwide Love Using MLY

Explain Quantitative Results with Qualitative Analysis

Listen to Students Throughout Their Academic Journey

Enable Decision-makers to Drive Institutional Change

Discover Explorance MLY Success Stories

Qualitative Analysis for Higher Education FAQs

How does MLY help analyze feedback in higher education?

How does MLY work?

How is MLY trained?

How is MLY different from platforms like ChatGPT?

What type of comment can be analyzed with Explorance MLY?

Get a Personalized Demo

Learn more about Explorance's products, solutions, and the company.

Products

Solutions

Resources

Company