Qualtrics vs User Intuition: Surveys, Interviews and Pricing

Qualtrics Strategy & Research also includes qualitative research, participant panels, AI assistance and a research repository. Its breadth suits teams running several methods within an established program. The decision is which workflow you need for the question at hand.

A preference survey shows which proposition wins, while interviews explain what participants understood, what they doubted and what they compared it with. User Intuition’s customer research workflow helps turn those explanations into a more specific product or messaging decision, then assess which assumption needs another test.

For procurement, an enterprise Qualtrics program brings its own security review. User Intuition complies with GDPR and the CCPA today, and its SOC 2 Type II examination is underway: no report has been issued yet, and a SOC 2 engagement letter, control-inventory summaries and current status are available under NDA at security@userintuition.ai. Your data never trains AI models. See User Intuition security for details, and compare both vendors’ current documentation with your requirements before sharing unreleased stimulus.

Qualtrics Conversational Feedback deepens a response inside a questionnaire. Its live moderated research supports a human interviewer. User Intuition makes full conversational moderation repeatable without scheduling a researcher for each session, while adapting the next question to what the participant says.

User Intuition’s laddering approach is informed by Reynolds and Gutman’s laddering method, which connects product attributes to consequences and personal values. For product research, “easy to use” can mean fewer steps, less fear of making an error or more confidence when presenting work to a colleague. Following that chain helps the team understand which outcome matters and what a redesign should preserve.

User Intuition supports your own participants and a 4M+ vetted panel. The team can launch a brief, review findings as quality interviews finish and compare experiences across relevant groups.

The benefit for research teams and agencies is operational: a new question does not require filling a moderator’s calendar before conversations can begin. Consistent learning goals provide a basis for comparison, while adaptive questioning preserves the unexpected detail that explains why two participants make different decisions.

User Intuition charges $30 per quality voice interview. BYOP incentives are separate, and specialist recruitment requires a quote. A team can fund a focused interview study without an annual software commitment, then extend the research when the next consequential question becomes clear.

Qualtrics’s published plans include a free survey tier with 500 total responses and paid options with more research capabilities. Enterprise packages are quoted. The comparison depends on whether your team needs a survey platform and advanced methods or a complete interview study; the software response allowance and participant recruitment are distinct parts of the budget.

User Intuition evaluates the substance of each conversation, helping research teams avoid paying platform fees for an interview that stops early or fails to develop the learning goals. Researchers can focus on what the accepted accounts mean for the decision instead of requesting refunds for unusable sessions.

Qualtrics’s survey response allowance is a different billing unit from User Intuition’s quality interview. For a study intended to explain behavior, a completed response alone is not the deliverable: the team needs enough detail to understand the experience, examine a competing explanation and decide what action the evidence supports.

User Intuition’s evidence review is informed by Malterud et al.’s information power framework and Hennink et al.’s meaning-saturation research. These approaches connect sample adequacy to relevant information and distinguish identifying a theme from understanding it in depth. For a product decision, User Intuition uses these principles to examine whether the interviews explain the behavior the team wants to change. It can recommend deeper analysis of the existing accounts before further fieldwork, or targeted interviews where a missing experience could alter the recommendation. Qualtrics Research Hub also supports finding existing evidence and identifying research gaps.

For example, we interviewed 43 Walmart shoppers to understand purchase decisions, trip friction and return intent. Thirty-six said they would shop at Walmart again. User Intuition recommends recontacting shoppers after their next comparable trip and comparing those who returned with those who chose another store. The follow-up tests which experiences turn stated intent into a store choice. Explore the Walmart study, two recommended follow-ups and sample presentation.

Qualtrics Research Agent capabilities include building conjoint and MaxDiff projects. User Intuition’s agentic research workflow can start with a question such as why customers prefer an idea in a survey but hesitate when considering an actual purchase.

The assistant can examine earlier evidence, prepare interviews around that hesitation and estimate the cost. Your team reviews the plan and approves spending. Once interviews finish, the assistant retrieves findings and supporting accounts, helping a researcher connect the recommendation to what customers said and prepare the next focused investigation.

User Intuition builds synthetic participants from real, opted-in respondents, using their individual traits, habits and behaviors. It repeatedly compares synthetic responses with the same respondents’ real answers to calibrate the models. That grounding preserves differences in experience and priorities that generic LLM feedback flattens.

This design is informed by Park et al. (2024). Their simulations of 1,052 people reproduced General Social Survey answers 85% as accurately as those people reproduced their own answers two weeks later. The study informs User Intuition’s emphasis on individual grounding and repeated calibration. Qualtrics synthetic panels provide another way to work with modeled responses. For User Intuition, the useful output is a sharper research question grounded in differences between people, ready to investigate through the next study.