quantilope vs User Intuition: Research Methods and Cost

quantilope supports methods such as MaxDiff, conjoint and implicit testing, with method access set by package. It also offers qualitative video responses and adaptive probing of survey answers. That combination helps researchers quantify preferences and add context within a wider consumer-intelligence program.

User Intuition’s concept research workflow investigates the mechanism behind a preference. A team can explore when a proposed benefit would matter, what the customer uses instead and which concern would prevent adoption. The findings help refine a concept or identify a question worth investigating before the next decision.

quantilope’s inColor collects and analyzes video responses, with transcription, sentiment analysis and showreels. Its survey tools can also ask follow-up questions while respondents are in the study. User Intuition develops the participant’s own account across the interview, including unexpected examples and exceptions that help explain the underlying choice.

User Intuition’s laddering approach is informed by Reynolds and Gutman’s laddering method, which connects product attributes to consequences and personal values. For concept research, an appealing feature may represent convenience, fewer errors or greater confidence in a difficult situation. Understanding that consequence helps a team improve the proposition and identify which assumption needs to be tested before committing to a design or message.

quantilope supports automated methods and ongoing tracking, helping teams repeat structured research and analyze results as they arrive. Timing follows the method and audience. User Intuition provides a focused interview workflow with a 4M+ vetted panel, BYOP and interviewing in 80+ languages.

Panel studies field 200+ interviews in 24 hours, and studies with your own list run in parallel as your participants respond. Findings arrive as quality conversations finish, allowing teams to compare experiences across segments while each interview follows its own context. Researchers can expand the investigation when a missing experience could change the recommendation, without creating a sequential moderator schedule.

quantilope’s published packages include a three-user Business entry plan, with Pro and Enterprise priced through sales. Method access varies: qualitative and implicit methods appear in Pro, while conjoint and segmentation appear in Enterprise. A team should budget around the methods, tracking and research services its program requires.

User Intuition charges $30 per quality voice interview. Incentives for your own participants are separate, and specialist audiences are recruited to order. Per-study purchasing allows an agency or research team to fund a defined brief, assess the evidence and decide whether another interview study would materially improve the decision.

quantilope includes automated data cleaning and pre-survey quality tools within its platform. User Intuition’s billing rule applies to the substance of a new depth interview: it checks whether the conversation contains enough detail and addresses the learning goals before charging for that interview.

Quality screening helps determine whether a response is usable, while evidence review examines what the accepted accounts support. User Intuition connects these stages so a researcher can inspect the explanation behind a theme, consider exceptions and decide whether the proposed recommendation rests on a well-understood 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 concept research, User Intuition uses these principles to assess whether the team understands why a benefit matters. It can recommend deeper analysis of existing interviews or a study of a missing customer context that could change the proposition or its priority.

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.

quantilope’s quinn capabilities include study drafting, setup review and search across project history. User Intuition’s agentic research workflow gives a researcher a way to commission new interviews when existing material leaves an important assumption unresolved.

For example, an assistant can prepare a study of customers who like a concept but would continue using an alternative. The team reviews the plan and approves spending. Source-linked accounts can then reveal the switching effort or risk behind the gap between interest and adoption, guiding a more consequential follow-up.

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 tends to flatten.

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 consumer research, individual grounding helps teams explore differences that a broad audience profile can hide, then turn those contrasts into focused questions for the next study. quantilope’s Category Twins reflect its segment-based tracking context and update with new tracking waves.