InMoment vs User Intuition: CX Research and Pricing

InMoment, part of Press Ganey Forsta, combines feedback collection, text analytics, reputation management and case-management workflows. It also offers market research and panel access. That breadth suits teams that need to monitor experience, route issues and coordinate improvement across the organization.

User Intuition’s NPS and CSAT follow-up interviews focus on the explanation behind a signal. A falling satisfaction score may reflect a broken process, a changed expectation or an alternative that makes the same experience feel worse. Interviewing the relevant customers helps the team identify which explanation should shape its response.

InMoment’s Active Listening can ask for detail based on the answer a respondent gives. This helps improve feedback collection within an ongoing survey program. User Intuition’s moderator works through a research brief, connecting an incident to what the customer expected, how they responded and what could change their next decision.

User Intuition’s laddering approach is informed by Reynolds and Gutman’s laddering method, which connects product attributes to consequences and personal values. For CX research, “support was slow” can lead to the work the delay prevented, the consequences for the customer and the reliability they expected from the relationship. That chain helps a team distinguish a service-speed problem from a more consequential loss of trust.

A researcher can launch follow-up interviews with recent detractors, customers who contacted support or people who stopped using a service. Findings arrive as quality conversations finish, so the team can examine explanations while the study is underway. Setup does not require a mandatory sales or scoping call.

User Intuition supports your own participants and a 4M+ vetted panel, with interviews in 80+ languages. Recruitment and participant response affect completion time. For follow-up research on satisfaction scores, recruiting the customers who experienced the issue matters more than adding unrelated respondents to the sample.

The User Intuition platform fee is $30 per quality voice interview. Incentives for your own participants are separate, and specialist audiences require a recruiting quote. This lets research teams and agencies budget for an investigation into one customer issue, then extend it when the evidence warrants another study.

InMoment’s packages combine different feedback, analytics and service capabilities, including DIY and managed options. The proposed scope determines the commercial comparison. For a team that already has a CX platform, User Intuition can add targeted interviewing without requiring a replacement of the entire feedback program.

A response such as “the service was poor” identifies dissatisfaction but gives a team little basis for action. User Intuition checks whether the conversation develops the experience and addresses the learning goals, helping your study budget go toward interviews that can explain the issue.

InMoment’s package covers its selected CX capabilities and service scope. User Intuition’s billing unit is a quality interview. The automatic checks reduce manual disputes about unusable sessions, while evidence review helps your team assess whether the resulting explanations support a change to the customer experience.

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 CX decisions, User Intuition uses these principles to examine whether a proposed fix addresses the experience behind the complaint. It can recommend deeper analysis of existing interviews or targeted follow-ups with customers whose experiences could change the recommendation.

A shopper study illustrates how this evidence review works. 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.

For example, a team may ask why customers who received a quick support response still describe the experience as unreliable. An assistant can find prior evidence, prepare interviews with the relevant customers and estimate the cost. Your team reviews the research plan and approves the spending.

User Intuition’s agentic research workflow then brings the findings back with source quotes. The researcher can ask which explanation has support, what would change the recommendation and whether existing interviews already answer the next question. This connects investigation and follow-up within the team’s working process.

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. For a CX team, the useful output is a more specific hypothesis about expectations, trust or switching, ready to investigate with the relevant customers.