Explorance MLY for QILT: Listen Better. Act Faster.

With purpose-built machine learning, institutions can analyse large volumes of qualitative feedback at scale with Explorance MLY, turning open-ended comments into structured, actionable insights.

MLY

Qualitative Analysis You Can Trust

500K+
500K+

Alerts Highlighted

30M+
30M+

Comment Insights Generated

5M+
5M+

Recommendations Provided

Trusted by Leading Institutions

Bring a QILT-aligned lens to student feedback

The MLY QILT model builds on the Student Experience Survey (SES) framework by re-mapping qualitative data into categories directly aligned with the Quality Indicators for Learning and Teaching. Using 1,200 data points organised across the standard 6 core themes, it enables deeper analysis, more informed decision-making, and targeted actions to improve student satisfaction and QILT outcomes.

  1. Mental Health and Wellbeing
  2. Skills development
  3. Teaching quality and engagement
  4. Peer engagement
  5. Learning resources
  6. Student support and services
  7. Other Student Experience
Bring a QILT-aligned lens to student feedback

Co-Created with Leading Australian Universities

Built in collaboration with five Australian universities, the MLY QILT model combines higher education expertise with a shared commitment to understanding the student experience. Each partner contributed to shaping a model aligned with the QILT framework and grounded in the realities of Australian higher education.

  • Australian Catholic University
  • Deakin University
  • The University of Melbourne
  • The University of Newcastle
  • The University of New South Wales
Co-Created with Leading Australian Universities

The Most Trustworthy Qualitative Feedback Analysis Tool

Built specifically for higher education, MLY delivers reliable qualitative insights while keeping your data, your decisions, and your institution in control.

  • Your data stays yours with strict privacy controls and no use of your data to train MLY models unless you explicitly opt in
  • Built on education-specific expertise using supervised, expert-validated data from real educational feedback
  • Grounded in transparent, traceable insights so teams can see the feedback behind themes, alerts, and recommendations
  • Validated through rigorous human oversight with continuous research, testing, and model refinement
The Most Trustworthy Qualitative Feedback Analysis Tool

Protect Privacy While Unlocking Honest Feedback

MLY Redaction helps institutions protect sensitive information while preserving the insights needed to understand student feedback and take action.

  • Protect sensitive data by automatically removing personal identifiers from feedback while preserving the context needed for meaningful analysis
  • Maintain valuable insights by safeguarding respondent privacy without losing the feedback institutions rely on to identify themes, concerns, and opportunities
  • Reduce institutional risk with safeguards to manage sensitive feedback responsibly and create a safer environment for students and staff
Protect Privacy While Unlocking Honest Feedback

Reduce Risk with Alerts

Identify emerging concerns and potential risks in student feedback before they escalate. MLY Alerts surfaces important developments early, helping institutions prioritise action and respond to issues that could impact the student experience.

Reduce Risk with Alerts

Time to Insight

Spend less time processing feedback and more time acting on what students are telling you. MLY quickly analyses large volumes of qualitative feedback, surfaces the trends and themes that matter, and helps teams get actionable insights faster.

Time to Insight

Turn Feedback into Clear Recommendations

MLY surfaces holistic recommendations that help institutions identify high-impact areas, focus resources where they matter most, and respond to emerging needs. With a clearer path from feedback to action, teams can close the feedback loop and drive meaningful improvements in the student experience.

Turn Feedback into Clear Recommendations
Testimonials

Why Institutions Worldwide Love MLY

Facebook
“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.​”
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Meagan Morrissey
Manager of Student and Staff Insights
“We want to understand not only what the topics are, but what recommendations we need, what we should be doing less of, and what we should be doing more of. My role is to make sure those insights reach the people who need to make those decisions in a really easy and digestible format. And that’s certainly been achieved through MLY.”
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Adam Davies
Associate Director of Performance Insights
“I would absolutely recommend Explorance, and MLY, to other universities to help them with similar pain points that we’ve experienced. It’s the speed at which we can deliver in the way the University wants us to provide that feedback. Within a week of the data coming in, we can share the findings. There is significant demand for the comments to come quickly, and that’s what MLY can provide. There wouldn’t be an alternative without an AI solution. MLY is at the heart of making positive change.”
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Claire Bench
Data Analyst
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