Nielsen BASES vs User Intuition: Concept Research

NIQ BASES concept and claims testing combines consumer research, modeling and consulting. Its broader portfolio includes product performance, packaging and pricing research. Those capabilities suit a team deciding how an innovation might perform within a category or portfolio.

User Intuition’s concept interviews address the reasoning behind a reaction. If shoppers like an idea but would not buy it, the team needs to understand the occasion, the alternative and the obstacle. Those explanations can change the proposition, the proof it needs or the audience the brand should investigate next.

For a premium snack, “too expensive” could mean poor everyday value, uncertainty about the ingredients or a mismatch with the intended occasion. The moderator can ask about a recent purchase and explore what would justify switching. The resulting account helps a team choose whether to change the product, the message or the audience.

User Intuition’s laddering approach is informed by Reynolds and Gutman’s laddering method, which connects product attributes to consequences and personal values. Connecting attributes with consequences and values helps a concept team distinguish a surface preference from the benefit a shopper is seeking. That makes a revision more specific: emphasize an outcome, remove an objection or test the conditions under which the concept earns its premium.

NIQ BASES includes multiple research methods with different timelines. Its AI Screener is designed for rapid early screening, while commissioned product or concept research follows the selected method and scope. The time to a modeled screen and the time to new participant evidence represent different research activities.

User Intuition has no platform-imposed hourly interview cap. It supports your own participants and a 4M+ vetted panel; screening and participant response affect completion time. A concept research brief can keep the central proposition consistent while exploring how local routines, category alternatives and purchase occasions change its meaning.

User Intuition charges $30 per quality voice interview. Incentives for your own participants are separate, and specialist audiences are recruited to order. Research teams and agencies can begin with a focused question, refine the proposition and decide whether a further study is justified by the unresolved evidence.

NIQ BASES’s Studio platform supports project setup directly or with an expert. Compare by deliverable: interview explanations, a modeled screen, a product test or a forecast. A team can use depth interviews to improve the proposition it later takes into a broader validation program.

For concept research, an interview needs to explain the participant’s interpretation and the conditions behind their reaction. A positive adjective alone gives little guidance on what to build or communicate. User Intuition checks whether the conversation develops useful detail and addresses the research brief before applying the platform fee.

NIQ BASES’s fees cover the selected testing, modeling or consulting scope. User Intuition’s automatic quality billing makes it easier to budget for substantive new interviews. Evidence review then examines whether those interviews support the proposed concept change and which consumer experiences remain important to investigate.

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 innovation decisions, User Intuition applies these principles to test whether a proposed benefit has a clear role in consumers’ lives. Existing interviews can support deeper analysis; missing purchase occasions or objections can become targeted follow-up questions before the team commits to a concept revision.

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, ask an assistant to identify what remains unresolved about a new convenience proposition. It can use earlier research to prepare interviews with consumers whose routines are relevant, then estimate the study cost. The team reviews the plan and approves spending before the study runs.

User Intuition’s agentic research workflow returns findings to that same assistant. A researcher can ask which experiences support the concept, what competing explanations remain and which revision deserves another test. This helps agencies keep a client’s innovation brief connected to the evidence as the proposition develops.

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. BASES AI Screener focuses on early idea evaluation and market potential. User Intuition uses individual grounding to help a researcher identify the consumer trade-offs and occasions that deserve deeper investigation.