Koji vs Watermark Course Evaluations & Surveys (2026)

Watermark Course Evaluations & Surveys (formerly EvaluationKIT) is one of the most established dedicated course-evaluation platforms in higher education, and it is a serious, capable product. If you are choosing between it and Koji, the honest summary is this: Watermark is the mature standard-bearer for the traditional Likert-plus-comment census, now with AI layered on top of that data; Koji is built the other way around — the data collection itself is an AI-moderated conversation, so depth is captured at the source rather than reconstructed afterwards. Which matters more depends on what you are trying to do with student feedback.

This guide compares the two fairly, names where Watermark is genuinely the stronger choice, and shows where Koji's approach changes the evidence you get.

At a glance

Dimension	Watermark Course Evaluations & Surveys	Koji
Core collection model	Likert-scale + open-text surveys (census model)	AI-moderated conversational interviews at scale
Qualitative depth	Open comments collected, then AI-summarised after the fact	Follow-up probing in the moment; vague answers are clarified live
Analysis	Sentiment analysis, automated summaries, top takeaways, guided insights	Automatic thematic analysis with traceable quotes back to source
Bias handling	Standard survey instrument; analysis-stage AI	Standardised AI moderation applied identically to every student
LMS / SIS integration	Deep: Canvas, Anthology Blackboard, D2L Brightspace, Moodle; Ellucian Banner & Colleague	LMS-agnostic link/embed distribution
Accreditation tie-in	Integrates with Watermark Planning & Self-Study and Faculty Success	Standardised, exportable evidence and action-tracking for QA cycles
Response rates	States 70%+ average; cites one institution at 83%	Designed for engagement through conversation; varies by deployment
EU data handling	In-region AWS hosting, GDPR (EU + Swiss), TrustArc certification	EU/GDPR-native data handling
Pricing	Institutional contract; as of publication, public pricing was not available	Contact for institutional pricing
Best fit	Large institutions standardising a census across an LMS estate and the wider Watermark suite	Institutions that want genuine qualitative depth, not just more survey rows

What Watermark Course Evaluations & Surveys does well

It is worth being clear-eyed about Watermark's strengths, because they are real and they are why hundreds of institutions use it.

Scale and maturity. The product (under the EvaluationKIT and Watermark names) has run very large volumes of course evaluations across hundreds of institutions, and it shows in the operational tooling: campaign/project structures, automated reminders, optional grade-gating to lift participation, automated report distribution, and longitudinal reporting that aggregates and disaggregates results over time.
Deep LMS and SIS integration. Students can respond inside Canvas, Anthology Blackboard, D2L Brightspace or Moodle, and the platform integrates with Ellucian Banner and Colleague on the student-information side. For a large institution that wants evaluations embedded directly in the tools students already live in, this is a genuine advantage.
An accreditation-aware suite. Watermark Course Evaluations & Surveys connects to Watermark Planning & Self-Study and Faculty Success, so evaluation data can feed institutional self-study and faculty performance review without re-keying. If you are already invested in the Watermark ecosystem, that integration is hard to replicate.
AI on top of the data. Watermark has added automated summaries, sentiment analysis, top-takeaway identification and guided insights with recommended actions — useful for QA teams drowning in open-text comments.
EU-ready hosting. Watermark offers in-region AWS hosting for data residency, states GDPR compliance aligned to EU and Swiss frameworks, and holds TrustArc certification — meaningful reassurances for European procurement.

If your goal is to run a reliable, integrated, institution-wide Likert census and get faster summaries of the comments, Watermark is a strong, safe choice.

Where Koji is different — and why it matters

The key distinction is when depth is captured. In a survey tool, a student writes (or skips) a free-text box, and any nuance has to be inferred later by an analyst or an AI summariser. Whatever the student did not write is simply gone. Layering sentiment analysis and summaries on top — as Watermark does well — makes that thin data easier to read, but it cannot recover detail that was never collected.

Koji inverts the model. Each student has a short, AI-moderated conversation instead of a static form. When a student says a course was "a bit disorganised," the moderator asks what specifically felt disorganised — sequencing, assessment timing, unclear briefs — and captures a concrete, actionable answer. That changes the evidence in four ways:

Qualitative depth at the source, not reconstructed. You get specific, probed answers rather than one-line comments that an AI then has to guess the meaning of.
Standardised, bias-aware moderation. Every student is probed by the same neutral logic. This does not eliminate the well-documented biases in student feedback, but it removes the variability of who happened to write a thoughtful comment and who wrote "fine."
Automatic thematic analysis with traceability. Themes are built from the actual transcripts and trace back to verbatim quotes — useful when a QA director or external reviewer asks "what is the evidence for that conclusion?"
Formative as well as summative. Because a conversation is lighter to deploy than a full survey wave, mid-semester check-ins become practical, so issues surface while the cohort can still benefit. (See formative vs summative course evaluation.)

Koji uses the same AI interview engine as the main Koji platform used for customer and user research — course evaluation is that engine applied to students.

Honest take: when Watermark is the better choice

This audience values straight answers, so here is where we would not push Koji:

You are standardising on the Watermark suite. If you run, or plan to run, Watermark Planning & Self-Study and Faculty Success, the native data flow between course evaluations, self-study and faculty review is a real efficiency Koji does not replicate.
You need evaluations embedded deep in a specific LMS/SIS estate. If automated Banner/Colleague-driven scheduling and in-LMS response collection across Canvas/Blackboard/Brightspace/Moodle is the hard requirement, Watermark's integration maturity is an advantage.
You want minimal process change. If your institution's quality framework is built around a numeric Likert census and benchmarking those means over time, a like-for-like census tool is the lower-friction path. (We would still encourage reading why averaging Likert scores can mislead.)

Koji is the better choice when the quality of qualitative insight — not the integration topology — is the thing you most want to improve, and when you want feedback that closes the loop with documented actions for accreditation.

Data, GDPR and EU institutions

Both tools can meet European requirements. Watermark offers in-region AWS hosting, GDPR alignment (EU and Swiss) and TrustArc certification. Koji is built EU/GDPR-native. For either, your procurement team should still request the Data Processing Agreement, sub-processor list and hosting-region detail and verify them against your institution's data-protection assessment — that is standard practice, not a knock on either vendor.

Accreditation and closing the loop

For ESG/ENQA-aligned quality cycles, the evidence reviewers increasingly want is not just scores but what you did about them. Watermark supports this through its self-study and reporting suite. Koji approaches it by producing standardised, exportable evidence and tracking the actions taken in response to feedback, so the "you said / we did" loop is documented. If accreditation evidence is a priority, see turning student feedback into ESG/ENQA evidence.

Pricing

Watermark licenses through institutional contracts; as of publication, public list pricing was not available, so request a quote scoped to your enrolment and integration needs. Koji is also priced per institution — contact us for a scoped quote. Compare total cost including integration, training and the analyst time each model requires to turn raw feedback into decisions.

Bottom line

Watermark Course Evaluations & Surveys is a mature, well-integrated census platform that has added genuinely useful AI on top of survey data — an excellent fit for large institutions standardising across an LMS estate and the broader Watermark suite. Koji is for institutions that want the depth of student feedback to improve, by making collection itself a probed, standardised conversation and turning the result into traceable, accreditation-ready evidence. If your problem is "we have lots of thin comments and need them summarised," Watermark serves that well. If your problem is "our feedback is too shallow to act on confidently," that is the gap Koji is built to close.