Glimpse vs User Intuition: Trends and Customer Research

Glimpse’s trend platform provides search volumes, growth measures, related topics and alerts. Those signals can help a team decide where to look. A customer investigation can then determine what people hope to accomplish and what makes an existing solution inadequate.

For example, growing searches for high-protein snacks could reflect meal replacement, sports routines or an easier way to feed a household. User Intuition’s shopper interviews can investigate the actual purchase occasion and alternatives. That helps a team decide which need to serve and what evidence would justify moving beyond an interesting trend.

The moderator can start with a recent occasion: what prompted the search, which options the person considered and what they ultimately did. It can follow an unexpected explanation rather than assuming everyone who searched the same term wanted the same outcome. Those differences matter when defining an audience and product promise.

User Intuition’s laddering approach is informed by Reynolds and Gutman’s laddering method, which connects product attributes to consequences and personal values. For a new food category, a convenient format may matter because it removes preparation work, protects a routine or makes the person feel more capable of meeting a health goal. Connecting those consequences to the attribute helps a team design a proposition around a meaningful benefit.

User Intuition supports your own participants and a 4M+ vetted panel. Research teams can recruit people with relevant recent purchase or usage experience, then review findings as quality interviews finish. Panel studies return 200+ interviews in 24 hours; niche categories and narrowly defined behaviors are recruited to order.

Running interviews concurrently lets an agency investigate several audiences while keeping the learning goals consistent. The moderator can explore the local routine, competing alternative and purchase constraint in each conversation. That makes the resulting comparison useful for deciding where the opportunity is strongest and what the team should investigate next.

The User Intuition platform fee is $30 per quality voice interview. Incentives for your own participants are separate, and specialist audiences are recruited to order. A team can fund one focused question about a category, examine the evidence and extend the study only where a consequential uncertainty remains.

Glimpse’s subscription terms govern access to its data services; the selected product and plan determine the purchase. User Intuition’s study budget covers a different deliverable: new participant accounts explaining the need, trade-off or objection your team must understand before choosing how to act on a trend.

For opportunity research, a respondent needs relevant experience and enough detail to explain a choice. User Intuition checks the interview against the brief before billing. That helps the team avoid spending its research budget on short or generic answers that cannot distinguish a promising need from a passing interest.

Glimpse’s subscription purchases trend data access. User Intuition’s billing unit is a quality interview, followed by evidence assessment of the resulting findings. The team can examine whether the proposed customer explanation is supported, what varies across experiences and which follow-up would most improve the product decision.

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 an emerging category, User Intuition uses these principles to assess whether an apparent opportunity has a clear explanation across relevant customers. It can recommend deeper analysis of existing interviews or targeted research with people whose behavior could challenge the proposed demand story.

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.

Glimpse’s API makes trend series available to a team’s tools. The researcher still needs an explanation of what the change means for a particular customer decision. A rise in interest may lead to questions about the occasion, dissatisfaction with alternatives or the language people use to describe the problem.

Through User Intuition’s agentic research workflow, an assistant can prepare that brief and a cost estimate for the team to review. It can retrieve completed findings with supporting accounts and help identify the next unresolved question. This connects opportunity discovery to new research and a more specific decision.

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 trend research, individually grounded responses help a team explore different reasons for interest in the same category, then choose the customer experiences that deserve closer investigation.