Dialectica vs User Intuition: Buyer Research and Cost

Dialectica offers expert calls, B2B surveys and direct customer research, alongside Origin market intelligence. Its custom sourcing and managed delivery can be valuable when a brief depends on niche expertise or a difficult-to-reach professional audience. The service model includes research execution and support around the engagement.

User Intuition’s commercial due diligence interviews focus on the people whose decisions bear on the thesis. For a retention question, that might mean actual customers who renewed, reduced usage or switched. Their recent experiences help a team test whether the proposed explanation of customer loyalty fits the decisions being made.

A specialist expert can explain an industry, and a recent buyer can explain the constraints behind a particular purchase. Dialectica supports both expert access and direct customer research. User Intuition helps your team follow a customer’s account from an initial claim, such as switching difficulty, into the experience and trade-off behind it.

User Intuition’s laddering approach is informed by Reynolds and Gutman’s laddering method, which connects product attributes to consequences and personal values. For diligence, a claimed switching barrier may stem from workflow dependencies, retraining costs or concern about losing internal credibility. Tracing the consequences and values behind that claim helps a team understand when the barrier holds and which change could make a customer reconsider.

User Intuition’s direct setup helps a deal or research team act on a new question without a mandatory scoping call. Findings arrive as quality interviews finish. Your researchers can review evidence while other participants complete their conversations, including across time zones and 80+ supported languages.

User Intuition supports your own participants and a 4M+ vetted panel. Specialist audiences are recruited to order, and those interviews run in parallel as participants respond. For customer diligence, define whether the thesis requires actual customers of a named business or comparable category buyers; those audiences answer different questions.

User Intuition charges $30 per quality voice interview. BYOP incentives are separate. A team with access to relevant customers can therefore budget the platform work directly, while a brief requiring niche professional sourcing needs a recruitment estimate alongside the interview fees.

Dialectica’s commercial options include flexible purchasing and managed research services. The proposal defines the expert access, research support and deliverables included. User Intuition fits teams that own the research brief and analysis decision, and want direct control over launching and repeating interviews as the commercial thesis develops.

A verified professional can still give an answer that is too vague to test the thesis. User Intuition checks whether the interview develops the relevant experience and covers the learning goals before charging. That helps researchers direct a small study budget toward substantive accounts of buying behavior.

Dialectica also applies quality controls: its B2B survey workflow uses SurveyGuard to detect issues such as speeding and straightlining and remove poor responses. User Intuition’s published billing rule applies automatic Length, Depth and Coverage checks to interviews. Evidence review then helps assess what the accepted conversations support about the commercial hypothesis.

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 diligence, User Intuition applies these principles to examine whether the accounts support a proposed retention or growth explanation. It can recommend analyzing existing interviews for a competing explanation or recruiting customers with missing decision histories that could change the investment or operating conclusion.

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.

Dialectica Origin helps teams work with market intelligence and expert insights. User Intuition’s research workflow can begin with a question that remains unresolved, such as why some customers tolerate a price increase while others switch. The assistant can prepare a targeted study and its cost estimate for the team to review.

With User Intuition’s agentic research workflow, plan and spend approval remain with your team. The assistant can retrieve the completed findings, identify supporting customer accounts and help prepare the next research brief. This keeps a changing commercial thesis connected to the evidence collected for it.

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 a diligence team, the benefit is a focused set of questions about the customer behaviors that could support or challenge the commercial thesis.