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For principals, deans and HODs

Is the syllabus actually being covered?

Today that answer lives in a register and a verbal update at the monthly meeting. GaugeSkills turns it into a live number, per section, that updates as classes are conducted.

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What leadership sees

Planned versus delivered, per section.

Faculty own the plan they set. Leadership sees the gap while there is still time to close it.

Syllabus coverage · CSE, Semester 3

Illustrative
  • Data Structures 88%

    Data Structures: 88 percent delivered against a plan of 85 percent on track.

  • DBMS 72%

    DBMS: 72 percent delivered against a plan of 85 percent behind plan.

  • Operating Systems 58%

    Operating Systems: 58 percent delivered against a plan of 85 percent critically behind plan.

  • Discrete Maths 90%

    Discrete Maths: 90 percent delivered against a plan of 85 percent on track.

  • Digital Logic 84%

    Digital Logic: 84 percent delivered against a plan of 85 percent on track.

The marker shows where the plan says you should be.

Operating Systems is roughly three weeks behind plan.

Illustrative data. A pilot shows your own numbers.

Teaching progress

  • Coverage against plan

    Delivered versus planned, by course and by section.

  • Lag in weeks

    Not just a percentage how far behind, in time you can act on.

  • Classes held versus scheduled

    The operational reality behind the coverage number.

  • Backlog visibility

    What needs extra sessions before the exam calendar locks.

Teacher performance

Framed as support rather than a scorecard and worth saying that to your staff explicitly.

  • Teaching snapshot

    Courses handled, classes conducted, content published, coverage.

  • Faculty evaluation

    Structured evaluation instead of a form nobody reads.

  • Faculty predictive analytics

    Which sections are heading for weak outcomes.

  • Outcome linkage

    Activity read alongside quiz averages and at-risk counts, for context.

Run the institution

  • Admin analytics

    College-wide rollups across departments and programmes.

  • AI insights

    Generated summaries of what the data is showing.

  • Programmes and batches

    Provision batches, enroll students, promote a semester in bulk.

  • User management

    Roles and access across students, faculty, parents and staff.

The AI tutor wins students. This is the part that decides whether the institution buys.

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