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Course evaluations instructors actually learn from

End-of-term evaluations arrive as unreadable scans or a rigid LMS module, too aggregated to help one instructor and too late to help this cohort.

The short way: A clean evaluation per course — content, delivery, workload, self-assessed learning — anonymous, comparable term over term, readable in one screen.

Ready-made templates for this

Prefer to start from a questionnaire rather than a description? These are already written.

Type this — that’s the whole job

“A course evaluation: clarity of teaching, usefulness of materials, workload fairness, what helped learning most, what to change”

Build it now — free

Free to start. The Pro plan adds per-collector separation. Compare plans

No setup, no tutorial. The words above go with you — review what the AI builds, then share the link.

How it works — three steps

  1. 1

    Describe the course level and format; the AI drafts the standard dimensions.

  2. 2

    One collector per course section keeps instructors' results separate; turn on Anonymous responses on each link so students stay unnamed.

  3. 3

    Run the same instrument every term — the trend is the point.

What’s doing the work

Anonymous collection

Students grade honestly when the grade can't grade them back.

Per-collector separationPro

Each section's results stand alone; the department still sees the whole.

PDF report export

Each instructor gets their own one-page summary.

Questions people ask

Mid-term or end-of-term evaluation?

Both — a tiny mid-term pulse helps THIS cohort; the full end-of-term instrument feeds the record. Duplicating the survey takes a click.

How do we lift student response rates?

Give ten minutes of class time with the QR code on screen: everyone in the room can answer there and then, instead of waiting for an email.

Minutes, not weeks. That’s the deal.

Start free

Free to start. The Pro plan adds per-collector separation.