Analytics

Progress Tracking for institutions.

Spot struggling students early and act sooner.

Indian students reviewing work on a laptop on campus

Struggling students show signals weeks before they fail.

Falling attendance, missed assignments, low internal assessment scores and disengagement from the LMS usually appear well before a student fails a semester or drops out. In most institutions this data sits in separate systems, and mentors see the full picture only after results are declared, when the options for support are limited. By then a semester has been lost, and some students have already decided to leave.

Student progress tracking brings attendance, internal marks, assignment submission and outcome attainment into one view for each student, mentor and department. Early-warning rules agreed with your academic leadership flag students who need attention. Interventions such as remedial classes, mentoring meetings and counselling are recorded and their effect measured, which also supports NAAC reporting on slow and advanced learners, mentoring and student progression.

The challenge

Common challenges we solve.

Late detection

At-risk students are identified only after end-semester results.

Siloed data

Attendance, marks and LMS activity live in different systems that mentors cannot see together.

Interventions not recorded

Remedial support happens, but there is no evidence of what was done or whether it worked.

What's included

What you get

Student dashboards

Progress across courses.

Early warnings

At-risk flags.

Department views

Comparative insights.

Interventions

Tracked and measured.

Slow and advanced learner identification

Documented, criteria-based identification with tracked support measures.

Mentor-mentee reports

Records of mentoring meetings, actions and outcomes by mentor and batch.

How it works

How we work, step by step.

  1. Data audit

    Identify available data on attendance, marks, assignments and LMS activity.

  2. Rules & dashboards

    Agree early-warning thresholds and build student, mentor and department views.

  3. Mentor workflows

    Alerts, intervention logging and follow-up reminders for mentors.

  4. Review & refine

    Track outcomes of interventions each semester and adjust rules.

Why MSM CampusOS

Why institutions choose us

  • Early-warning rules set by your academic leadership.
  • Simple mentor workflows that fit existing mentoring schemes.
  • Intervention records that serve as NAAC evidence.
  • Integration with your ERP, LMS and attendance systems.
  • Role-based access to protect student privacy.
FAQ

Frequently asked questions

What data do we need to start?
Attendance and internal assessment marks are enough to begin. LMS activity, assignment submissions and fee or hostel data can be added later. We work with whatever your ERP and LMS can export and improve coverage over time. A pilot with one department is a practical first step.
How is student privacy protected?
Access is role-based, so mentors see their mentees and department heads see their departments. Data is processed under an agreement covering storage, access and retention, aligned with the Digital Personal Data Protection Act and your policies. Students can also be informed about how their data is used for academic support.
Will this add work for faculty?
It should reduce it. Data is pulled automatically, and mentors receive focused alerts instead of compiling reports. Logging an intervention takes a minute and replaces manual registers kept for accreditation. Faculty receive a short orientation, and the workflow is adjusted based on their feedback in the first semester.
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