Reach3 vs User Intuition: Research Speed and Cost

Reach3’s consulting approach combines mobile conversations with expert research support. Its community model can suit a brand that wants recurring, in-the-moment input and a partner to shape the program.

User Intuition’s shopper research works well for a focused decision: why a shopper substituted a product, rejected a pack or chose a different store. Research teams and agencies can run that question themselves, examine the evidence and commission a targeted follow-up as the decision develops. The practical choice is how much of the research program you want to delegate.

Reach3 and Rival’s research on conversational methods reports richer responses when conversational design and AI probing are used. The meaningful distinction is the interview workflow and access model, rather than the presence of follow-up questions alone.

User Intuition’s laddering approach is informed by Reynolds and Gutman’s laddering method, which connects product attributes to consequences and personal values. A shopper’s preference for a familiar brand might reflect a previous disappointment, fear of wasting a family meal or a need to avoid negotiation at home. User Intuition explores that chain so a team can decide whether to change the product, the message or the reassurance on the pack.

User Intuition removes the need to coordinate a moderator’s calendar for each shopper conversation. Bring your own audience or use the 4M+ vetted panel, define the relevant purchase experience and review findings as interviews finish. Interviews in 80+ languages support research across markets.

Audience availability and response affect turnaround. A broad grocery brief and a rare purchase occasion have different recruiting requirements. Reach3’s published completion and response metrics report 87% completion rates and say 40% of participants complete their surveys within an hour; those figures measure participation, not the time from a new brief to findings. User Intuition’s direct setup gives the researcher control over when a new study begins.

User Intuition charges $30 per quality voice interview for the platform. BYOP incentives are separate; specialist audiences need a recruiting quote. This lets research teams and agencies assign a clear shopper study cost to a client question or category decision, then fund another wave when the evidence warrants it.

Reach3’s engagement process starts with discussing the research need. Its proposal sets the services, audience and deliverables. For a managed program, the relevant value includes research expertise and delivery support. User Intuition is useful when your team owns the strategy and wants to purchase the interview workflow directly.

For shopper research, screened eligibility is only the start. A useful interview needs an account of the trip, the alternatives and the trade-offs that shaped the purchase. User Intuition’s checks assess whether that conversation has enough substance and covers the research brief.

This reduces the work of requesting credits for unusable interviews and makes a small study budget easier to manage. Reach3’s commercial terms are set in the engagement proposal. User Intuition’s published rule is automatic: interviews that fail Length, Depth or Coverage checks do not incur the platform charge.

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 shopper decisions, User Intuition applies these principles to check whether a proposed explanation holds across purchase occasions and household needs. Existing interviews can support deeper analysis; missing experiences can become a targeted follow-up brief. The next study is prioritized by what could change the commercial decision.

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.

For example, ask an assistant to examine what existing interviews say about a packaging change. It can identify unanswered questions, prepare a study for shoppers with the relevant category experience and estimate the cost before your team commits the budget.

User Intuition’s agentic research workflow then makes the resulting evidence available to the same assistant. A strategist can ask which participant experiences support the recommendation, compare purchase occasions and prepare the next client discussion. Human approval stays with the team that owns the research decision.

User Intuition’s models can help explore how shoppers with different routines interpret a proposed pack, offer or shopping occasion. Those individual habits help a researcher identify which trade-offs to probe, such as convenience during a rushed trip versus value during a planned stock-up. User Intuition’s synthetic participants help your team refine hypotheses and choose the questions to investigate next.

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 an agency, the useful output is a sharper set of hypotheses and follow-up questions tied to the people and occasions the client needs to understand.