Koji vs Questback for Course Evaluation (2026)
A fair, evidence-based comparison of Koji and Questback for student and course evaluation in European higher education — AI-moderated interviews versus enterprise survey software, with GDPR, pricing transparency, analysis depth, and an honest note on when each tool fits.
Koji Education Team
Product ·
Short answer: Questback is a mature, GDPR-native European enterprise-feedback platform built around structured surveys — a sensible choice if you want one vendor for customer, employee, and student feedback. Koji is an AI-native course-evaluation platform that replaces static Likert questionnaires with AI-moderated conversational interviews and automatic thematic analysis. If your priority is deeper, bias-aware qualitative insight into teaching and learning — and accreditation-ready evidence — Koji leads on substance. If you need a broad enterprise survey suite spanning many departments and use cases, Questback may be the better all-rounder. This guide compares both honestly so QA directors, deans, and procurement teams can decide with evidence.
What each platform actually is
Questback is an enterprise feedback management (EFM) platform headquartered in Oslo, Norway, with more than 25 years of combined experience in feedback software. It is used for customer satisfaction, employee engagement, 360-degree reviews, market research, and — relevant here — student and course feedback. Its strengths are breadth and maturity: customizable templates, 21 question types, branching logic so respondents see only relevant questions, and the ability to run anonymous or identified surveys with completion tracking. For European institutions, its compliance story is genuinely strong: data hosted exclusively in Frankfurt, Germany, ISO 27001 certification, and GDPR compliance by design.
Koji for Education (edu.koji.so) is purpose-built for course and student evaluation. Instead of asking students to rate a series of Likert statements, Koji conducts an AI-moderated conversational interview: it asks open questions, then probes follow-ups dynamically based on what each student says. It then performs automatic thematic analysis across all responses, surfaces recurring issues, and tracks the actions an institution takes in response — closing the quality loop. The same AI interview engine powers the main Koji platform at koji.so for general customer and user research, so the conversational method is battle-tested well beyond education.
Side-by-side comparison
| Dimension | Koji | Questback |
|---|---|---|
| Primary method | AI-moderated conversational interviews with dynamic follow-ups | Structured surveys (Likert, multiple-choice, 21 question types) with branching logic |
| Qualitative depth | Open dialogue that probes the why behind ratings | Open-text boxes; depth depends on respondent effort |
| Analysis of free text | Automatic thematic analysis across all interviews | Manual coding or add-on text analytics; richer reporting on higher tiers |
| Follow-up probing | Adaptive, per-respondent, in real time | Static, pre-defined branching paths |
| Bias and standardization | Standardized AI moderation reduces phrasing and order effects across cohorts | Quality depends on how each survey is worded and ordered |
| Closing the loop | Built-in action tracking from insight to documented response | Reporting and export; loop-closing handled in other systems |
| Data residency / security | EU data handling, GDPR-aligned | EU hosting in Frankfurt, ISO 27001, GDPR by design |
| Scope | Focused on course/student evaluation and research interviews | Broad EFM: CX, employee, market research, plus education |
| Pricing transparency | Talk to sales for institutional pricing | No official public pricing; see note below |
Where Questback genuinely fits
We are not here to pretend Questback is a weak product — it is not. For some institutions it is the right call:
- You want one platform for everything. If your university runs customer-style surveys, employee engagement programs, 360 reviews, and course feedback, consolidating on a single EFM suite has real procurement and governance advantages. Questback covers that spread; a focused evaluation tool does not.
- You run very large, standardized quantitative programs. When the goal is comparable numeric metrics across thousands of respondents and conversational depth is not the priority, a structured survey engine is efficient and familiar.
- You already own it. Existing Questback investment, integrations, and staff familiarity are legitimate reasons to extend rather than replace.
- You need 360-degree feedback tooling. Questback supports 360s natively; Koji is focused on evaluation and research interviews, not multi-rater performance review.
Reviewers on third-party sites also flag honest drawbacks worth weighing: several note the interface is not intuitive and can feel over-engineered, that reporting is limited on basic licenses, and that only one person can work in a user account at a time. A number of reviewers report frustration with auto-renewal terms and contract cancellation. Treat these as user-reported signals to probe during your own evaluation, not as settled fact.
Where Koji leads for course evaluation
The limitations of traditional Student Evaluation of Teaching (SET) surveys are well documented in the higher-education literature: declining response rates, shallow free-text, susceptibility to wording and order effects, and the persistent gap between collecting feedback and acting on it. Koji is designed around exactly those gaps:
- Depth on the why. A Likert score tells you students rated workload 2.8/5. A Koji interview tells you why — uneven assessment deadlines, unclear rubrics, a specific module that front-loads effort — because it probes follow-ups conversationally. That is the difference between a number and an actionable cause.
- Automatic thematic analysis. Qualitative comments are where the insight lives and where SET programs drown, because manual coding does not scale. Koji clusters themes across an entire cohort automatically, so a teaching-and-learning lead reads patterns, not a thousand raw comments.
- Bias-aware standardization. Because moderation is standardized by the AI rather than left to each survey author, phrasing and order effects are reduced and cohorts become more comparable over time — which matters for fair, defensible evaluation.
- Closing the loop, documented. Koji tracks the action taken in response to feedback and the status of that action. That documented you-said-we-did trail is exactly what quality cycles and accreditors expect, and it is where survey-only tools typically stop.
GDPR and EU data handling
Both platforms take European data protection seriously. Questback hosts data in Frankfurt, holds ISO 27001, and markets GDPR compliance by design — a strong, verifiable position for EU institutions. Koji is likewise built for EU/GDPR data handling. For a procurement team, the practical step is the same regardless of vendor: request the current Data Processing Agreement, confirm data-residency and sub-processor details in writing, and verify retention and anonymization controls against your institution's policy. Do not take any marketing page — including this one — as a substitute for the signed DPA.
A note on pricing transparency
As of publication, Questback does not publish official per-seat pricing on its own site. Third-party software directories report plans (Basic, Pro, Enterprise) starting in the region of US$349/month for up to ten users, with separate, sometimes substantial, customization and training costs — but these figures are not confirmed by Questback and should be verified directly with the vendor. Koji's institutional pricing is likewise quoted on request. The honest takeaway: for both tools, get a written quote scoped to your student numbers, programmes, and term cycle rather than relying on directory estimates.
Beyond education
If your interest in Koji extends past course evaluation, the same AI interview engine runs general user and customer research on the main platform at koji.so. Institutions sometimes start with course evaluation and later use Koji to interview prospective students, alumni, or employer partners — one method, many research questions.
Response rates and the quality of what you collect
Response rate is the metric institutions obsess over, but for evaluation it is a means, not the end. A 70% response rate of one-word comments is worth less than a 40% rate of substantive feedback. Structured surveys like Questback can drive volume efficiently, especially with reminders and completion tracking, and that is a genuine strength when you need broad coverage. The trade-off is depth: more responses to the same fixed questions do not tell you anything the questions did not already ask. Koji optimizes the other variable. Because each interview adapts and probes, a smaller number of completed conversations can yield richer, more actionable evidence than a larger pile of Likert rows. For a course team trying to decide what to actually change next term, the second is usually more useful — and for an accreditation panel, conversational evidence of acted-upon themes carries more weight than a satisfaction percentage.
Migrating from a survey tool to Koji
Switching evaluation tools mid-cycle worries QA teams, and rightly so — comparability across terms matters. The pragmatic path is to run Koji alongside your existing survey for one or two programmes first, on the same cohort, and compare what each surfaces. Keep your historical quantitative trend lines intact while you build a parallel qualitative evidence base, then expand once teaching teams see the difference in actionability. This staged approach preserves longitudinal data, avoids a disruptive big-bang cutover, and gives procurement a concrete, evidence-based comparison before any institution-wide commitment. It also respects rule one of good evaluation: never trade away a working feature to adopt a new one.
The bottom line
Choose Questback if you want a single, mature, GDPR-native EFM suite to standardize surveys across customer, employee, and student feedback, and structured quantitative metrics are your priority. Choose Koji if course and student evaluation is the job to be done and you want conversational depth, automatic thematic analysis, bias-aware standardization, and a documented closing-the-loop trail that stands up in a quality review. For most European institutions trying to move beyond shallow SET scores toward evidence that actually improves teaching, that is where Koji wins.
Ready to see AI-moderated course evaluation on your own modules? Book a Koji for Education demo and compare the depth of insight against your current survey tool on a real cohort.