explorance_logo_horizontal_color

Mly_Logo
 
Empower a Feedback Culture of Psychological Safety and Wellbeing

Use AI-powered qualitative analysis software to automatically identify and redact sensitive information from feedback and foster a culture of psychological safety for your students, staff, and faculty.

MLY_LP

 

University of Newcastle
Harvard University logo
University of Texas at Austin logo
westminster logo
McGill University logo

Support Instructor Wellbeing

Student feedback is a key component in evaluating the learning experience and improving teaching practices, but harmful comments can hurt instructors' confidence and morale. Automated redaction tools like Explorance MLY help safeguard psychological safety by removing inappropriate language, personal names, and sensitive information, allowing educators to focus on improvement without fear of judgement.

HE Results
HE_Alert_Score-1

Protect Student Wellbeing

A safe academic environment values every student’s voice. MLY’s Alerts module identifies pressing issues found in student feedback, enabling swift action to address concerns and promote an inclusive campus culture.

Strengthen Institutional Integrity

Institutions thrive when trust and respect are prioritized. By addressing harmful feedback proactively, MLY demonstrates your commitment to diversity, accountability, and equity, enhancing your reputation as a leader in higher education.

HE_Sentiment Analysis Img
Highlited Comment HE

Unlock the Value of Your Qualitative Data

Qualitative feedback is a treasure trove of insights, yet it often goes underutilized. MLY’s advanced analysis tools enable institutions to delve deeper into student and faculty feedback, uncovering patterns, trends, and opportunities for growth.

Role-specific Analysis

Ensure the correct data is only viewed by the right person. Use your institutional hierarchy and redact specific information based on role to maintain a respectful and effective reporting process.

Role-specific Analysis ing
HE_Sentiment Analysis_6

Save Time and Resources

Manually reviewing and redacting feedback is time-intensive and inconsistent. MLY streamlines this process with AI-powered automation, ensuring harmful content is removed efficiently and accurately.


Symbole-2
Copyright © 2025 Explorance Inc. All rights reserved.