How to Convert a Qualtrics Survey to an AI Interview (2026)

The Bottom Line

Qualtrics is an enterprise experience-management operating system — powerful, comprehensive, and priced and provisioned like enterprise software. For many teams that is exactly the problem: they wait weeks for a quote and pay for a platform when they needed a fast way to understand customers. You do not have to rip out Qualtrics to fix that. Migrate the attitudinal and qualitative studies — the ones where you need the "why" and a fast turnaround — into an AI-moderated interview, and the same questions still chart correctly and every open answer gets probed. With a platform like Koji, a typical study migrates in about 25 minutes: map each Qualtrics question to one of Koji's 6 structured question types, set how deeply the AI should probe, and publish a single interview link.

This is the field-by-field migration guide — and an honest note on what to leave in Qualtrics.

Why Teams Migrate Studies Off Qualtrics

Qualtrics earns its place for large, statistically rigorous programs. The friction shows up for everyday research:

• Enterprise cost and procurement. CoreXM is custom-quoted, typically $25,000–$50,000 per year (median around $30,000), plus $10,000–$30,000 or more for implementation. Teams routinely spend two to four weeks just getting a quote.
• Built to measure, not to converse. Qualtrics captures a clean structured answer and stops. A matrix records that satisfaction dipped; it never asks the respondent why. Text iQ can cluster verbatims after the fact, but nobody probed the answer in the moment.
• Overkill for the common case. Most teams need to understand a churn spike or a concept reaction quickly. An enterprise XM suite is more platform than that job requires.

An AI interview is not an enterprise-statistics replacement. It is the faster, cheaper, deeper medium for the studies that are really conversations in disguise.

Map Qualtrics Question Types to Koji

Koji has exactly 6 structured question types — open_ended, scale, single_choice, multiple_choice, ranking, and yes_no — and most Qualtrics question types map onto one of them:

The rule of thumb: quantitative questions stay quantitative so your dashboards keep charting, every text-entry question becomes a probed conversation, and specialized statistical modules stay in Qualtrics.

The Migration, Step by Step

1. Scope honestly. Pick the studies where depth and speed matter — satisfaction drivers, churn reasons, concept feedback, open-ended VoC. Leave Conjoint/MaxDiff programs in Qualtrics.
2. Audit the survey. List every question and label it quantitative, qualitative, or specialized.
3. Move panel/identity fields to intake. Keep name, email and consent out of the conversation.
4. Recreate quantitative questions verbatim. Keep wording, option labels and scale ranges identical for data continuity.
5. Convert text-entry questions to open_ended. These are worth probing.
6. Set probing depth. Choose 0–3 follow-ups per open question; enable the anchor follow-up on scales so the AI asks "you rated it 3 — what would make it a 5?"
7. Pick a mode and publish. Text (1 credit) for reach, or voice (3 credits) for candor. Share the link exactly as you would a Qualtrics distribution.

What the AI Interview Adds

• Adaptive follow-up. Up to 3 AI follow-ups per open question, so a dipped score comes with the specific reason attached.
• Voice or text. Voice surfaces the emotional texture and stories a matrix flattens.
• Real-time themed analysis. Koji clusters open answers into themes with supporting quotes as responses arrive — the Text iQ step happens automatically, in the moment.
• Quality-gated billing. Only conversations scoring 3 or higher consume a credit, so blank and low-effort responses never cost you.

For the full breakdown of the six question types, see the structured questions guide.

Keep Your Historical Qualtrics Data Comparable

You do not have to break your trend line. Because Koji's quantitative questions produce the same structured values — a number for a scale, an option string for a choice — your NPS, CSAT and matrix distributions stay directly comparable to the Qualtrics history, provided you keep the wording and ranges identical. You keep the trend and gain the reasons behind every score.

Common Migration Mistakes

• Trying to replace the whole XM suite at once. Migrate study by study; keep specialized quant where it belongs.
• Porting a 30-row matrix literally. Keep the rows that drive decisions and recover depth with AI follow-up.
• Leaving panel and identity fields in the body. Move them to intake so the conversation opens on something the respondent cares about.
• Probing every question to depth 3. Reserve deep probing for the two or three questions where the "why" changes a decision.

A Worked Example

A CX team ran a quarterly relationship study in Qualtrics: an NPS question, a ten-row satisfaction matrix, and one open comment, analyzed weeks later in Text iQ. They migrated just this study to Koji — kept the 0–10 NPS scale verbatim (so the number stayed comparable), reduced the matrix to the four rows that actually moved, and converted the comment to an open_ended voice question with two follow-ups plus an anchor on NPS. The headline score stayed comparable, procurement was a non-event, and the themed drivers behind a detractor cluster were in hand the next day instead of the next month.

What Stays in Qualtrics

The honest migration is a split, not a rip-and-replace. Keep Qualtrics for the work an AI interview is not built to do: conjoint and MaxDiff trade-off studies, large probability-sampled tracker programs, and advanced statistical modeling where the enterprise stats suite and panel are the whole value. Move the studies that are conversations in disguise — satisfaction drivers, churn and cancellation reasons, concept and message reactions, and open-ended voice-of-customer — where speed, probing depth, and self-serve turnaround beat procurement cycles. Many teams run the two side by side: the annual rigorous tracker stays in Qualtrics, while the monthly "why did this metric move?" studies run in Koji and feed the same dashboards, because the quantitative questions were recreated verbatim and stay comparable.

Migration Checklist

• Study scoped: attitudinal/qualitative in, specialized quant out
• Panel and identity fields moved to intake
• Scale ranges and option labels copied verbatim
• Probing depth set per open question (0–3)
• Anchor follow-up enabled on NPS and key scales
• Mode chosen (text = 1 credit, voice = 3)

Related Resources

• Structured Questions Guide — the 6 question types and when to use each
• Koji vs. Qualtrics — AI-native simplicity vs. enterprise complexity
• SurveyMonkey vs. Qualtrics vs. AI Interviews — the 2026 research stack
• Convert a SurveyMonkey Survey to an AI Interview
• Convert a Microsoft Forms Survey to an AI Interview
• Best AI Interview Software in 2026 — the platforms compared