Koji vs Qualtrics for Course Evaluation (2026): A Fair Comparison
Qualtrics is a powerful enterprise experience-management platform with strong survey tooling; Koji is a purpose-built, AI-native course-evaluation system that runs adaptive interviews instead of static Likert forms. Here is an honest, side-by-side comparison for European QA directors, deans, and procurement teams.
Koji Education Team
Product · June 2, 2026
Short answer: Qualtrics is a broad, enterprise-grade experience-management (XM) platform with a mature Course Evaluations module — strong if you already own Qualtrics, need one tool across surveys, employee experience, and research, and have administrators who can configure it. Koji is a narrower, purpose-built course-evaluation system: instead of static Likert forms, it runs short AI-moderated interviews with each student, probes vague answers in the moment, and returns automatic thematic analysis mapped to your quality cycle. If your goal is richer qualitative evidence, higher signal from open comments, and accreditation-ready documentation with EU data handling, Koji is built for exactly that. If your goal is a single XM platform spanning many survey types, Qualtrics has the broader footprint.
This guide compares both fairly, including where Qualtrics is the better choice.
What each tool actually is
Qualtrics Course Evaluations is a module inside the wider Qualtrics XM platform. According to Qualtrics, its education products are used by more than 8,800 schools. The course-evaluation solution provides an expert-designed question bank, institutional benchmarks, LMS/LTI integration, automated reminders to lift response rates, role-based real-time dashboards, key-driver analysis, and Text iQ for sentiment and topic coding of open-ended comments. It is a configurable, established product backed by a large vendor.
Koji for Education is an AI-native evaluation platform. Rather than asking students to rate a list of statements 1–5, Koji conducts a brief conversational interview: it asks an open question, listens to the answer, and follows up — "you said the labs felt rushed; which part specifically, and what would have helped?" — the way a skilled researcher would. Every interview uses the same standardized moderation logic, so probing is consistent across thousands of students. Koji then performs automatic thematic analysis, surfaces recurring issues, and tracks the actions taken in response. It shares the same AI interview engine as the main Koji platform used for customer and user research.
Side-by-side comparison
| Dimension | Koji | Qualtrics Course Evaluations |
|---|---|---|
| Core method | AI-moderated adaptive interviews (conversational) | Structured surveys (Likert + open text) |
| Follow-up probing | Automatic, in-the-moment, standardized | None — students answer fixed items only |
| Qualitative analysis | Automatic thematic analysis built in | Text iQ (sentiment/topic coding; requires setup) |
| Bias-aware moderation | Standardized prompts reduce inconsistent probing | Depends on question wording; no live moderation |
| Closing the loop | Built-in action tracking against findings | Possible via dashboards/workflows; manual to operationalize |
| Breadth of platform | Focused on course/teaching evaluation | Full XM suite (CX, EX, research, surveys) |
| LMS integration | Yes (link/LTI-style distribution) | Yes, mature LMS/LTI integration |
| Benchmarks | Cohort/longitudinal within institution | Cross-institution question bank + benchmarks |
| EU/GDPR data handling | EU-focused data handling | GDPR-compliant; EU/UK data-residency options available |
| Pricing transparency | Quote-based | Quote-based; not publicly listed |
| Best fit | Institutions wanting deep qualitative signal + accreditation evidence | Institutions wanting one XM platform across many use cases |
Competitor facts above are drawn from Qualtrics public materials as of publication; verify current specifics with the vendor.
Where Koji is stronger
1. It gets students to say more. The biggest weakness of traditional course evaluation is thin open-text: a handful of words like "good course" or "too fast." Because Koji probes in the moment, it converts a vague comment into something actionable. This matters because the qualitative comments — not the Likert means — are what teaching staff actually act on. (We cover why numeric averages mislead in Why Averaging Likert Scores Misleads.)
2. Standardized, bias-aware probing. A human running 60 focus groups would probe inconsistently and tire. Koji applies the same moderation logic to every student, so the depth of questioning does not depend on who is asking. This is a fairness property: every student gets the same chance to be understood.
3. Analysis is done for you. Text analysis in any survey tool, including Qualtrics Text iQ, still requires someone to define topics, tune the model, and interpret output. Koji performs thematic analysis automatically and presents themes with supporting quotes, cutting the weeks of manual coding that institutional-research teams typically spend.
4. Accreditation evidence and closing the loop. Koji is designed around the quality cycle: standardized evidence, longitudinal cohort reporting, and explicit action tracking that documents what changed as a result of feedback — exactly what ESG/ENQA, NVAO, AACSB, and EQUIS reviewers want to see. See Turning Student Feedback into ESG / ENQA Accreditation Evidence.
5. Response quality over response volume. Low response rates and non-response bias plague online evaluations. A shorter, more engaging conversational format can lift completion and yields richer data per respondent — though representativeness still requires attention (see Response Rates and Non-Response Bias).
Where Qualtrics is the better choice
We will be honest: Qualtrics is the right pick in several scenarios.
- You already run Qualtrics institution-wide. If your university has an enterprise Qualtrics license used by research, marketing, HR, and student services, consolidating course evaluation into the same platform reduces vendor sprawl and reuses existing admin skills.
- You need a general-purpose survey platform. Koji is focused on evaluation interviews. If you also need complex panel research, conjoint analysis, 360 reviews, and CX dashboards, Qualtrics XM covers far more ground.
- You want cross-institution benchmarking from a large question bank. Qualtrics offers expert-designed items and benchmarks accumulated across thousands of schools.
- You require very specific data-residency contracts. Qualtrics offers established EU/UK data-residency options and enterprise procurement processes that some institutions mandate.
If those describe you, Qualtrics is a defensible, mature choice.
Pricing reality
Neither vendor publishes per-seat course-evaluation pricing; both are quote-based. As of publication, Qualtrics does not list course-evaluation pricing publicly, and changes to its academic licensing after the retirement of its long-standing Academic Program have been widely discussed by universities as raising costs. We will not quote a figure we cannot verify — request a written quote and confirm what is included (Text iQ, data residency, support tier, integration). For Koji, request a quote scoped to your number of courses and terms.
How to choose
Ask three questions:
- What do you do with the results today? If your teaching staff mostly read open comments and ignore the 1–5 averages, you need richer qualitative signal — Koji's strength. If you build executive dashboards across many data sources, Qualtrics' breadth helps.
- Who will run it? Qualtrics rewards institutions with dedicated survey administrators. Koji aims to reduce that operational burden by automating moderation and analysis.
- What does your accreditation cycle demand? If you need to demonstrate closing-the-loop with documented actions, prioritize a tool that tracks actions natively.
What the student actually experiences
The two tools feel different from the student's seat, and that difference drives data quality.
A Qualtrics evaluation is a familiar web form: a page of statements rated on a scale, a couple of open-text boxes at the end, perhaps page logic and reminders. Well-designed, it is quick to complete — but it is also easy to satisfice. A student in a hurry rates everything "4," types "good course," and submits. There is no mechanism to notice the answer is thin and ask for more.
A Koji evaluation feels like a short, respectful conversation. The student is asked an open question, answers in their own words, and is occasionally asked to elaborate — "you mentioned the pace; was that the lectures, the assignments, or both?" Because the follow-up is contingent on what the student said, the same five minutes yields specific, attributable evidence rather than a flat rating. Students also report feeling more heard, which can support engagement and completion over time.
For administrators, this changes the downstream work. With form data, the qualitative payoff depends on how much students happened to write and how much time staff spend coding it. With interview data, the depth is built in and the first pass of analysis is automated, so institutional-research teams move from transcription and tagging to interpretation and action. Neither approach removes the need for human judgement about representativeness and context — but they start the QA team from very different places.
The bottom line
Both are credible. Choose Qualtrics if you want one enterprise XM platform across many use cases and already have the licensing and administrators to run it. Choose Koji if your priority is the substance of student feedback — deeper qualitative evidence, standardized bias-aware probing, automatic analysis, and accreditation-ready documentation with EU data handling. For most European institutions whose core problem is "our open comments are too thin and our QA team drowns in manual coding," Koji is the more direct fit.
See also our Koji vs EvaSys comparison for the traditional-SET incumbent.
Ready to see adaptive interviews on your own courses? Request a Koji for Education demo and run a pilot on a single programme this term.