Crayon vs User Intuition: Competitive Research and Pricing

Crayon’s competitive-enablement platform brings together website changes, market signals and internal sources such as sales-call recordings. It supports battlecards, win stories and metrics that help a team distribute and use competitive intelligence.

User Intuition collects a new account of the buyer’s experience around your brief. A competitor’s launch might prompt a study of whether customers understand the benefit, what they would trade for it and whether it changes their purchase decision. Those answers can make a competitive strategy more specific.

User Intuition’s AI moderator uses 5–7 levels of adaptive laddering, informed by Reynolds and Gutman’s laddering method (1988). Laddering connects a product attribute to its practical consequences and the personal values behind a decision. For example, a preference for a competitor’s reporting feature may trace back to a weekly executive review, fear of incorrect numbers and the buyer’s need to defend a recommendation. That suggests a different sales response than adding another feature comparison. See how User Intuition applies laddering.

User Intuition’s moderator follows relevant answers and unexpected explanations within the research brief. The output is a detailed account of the decision that your team can trace to interview quotes and use to refine a battlecard or positioning claim. RudderStack interviewed 40+ lost prospects within 48 hours in a win-loss study and found two blindspots that exit surveys and rep debriefs had missed: who controlled the budget, and which competitor had claimed a persona.

A research team can invite buyers immediately after a won or lost deal, with interviews happening whenever participants are available. User Intuition removes the need to add live moderators as the study grows, making it practical to examine different competitors and deal outcomes in the same research program.

Crayon continuously collects and distributes intelligence after its competitive program is configured. That serves an ongoing monitoring need. User Intuition’s parallel interviews apply to a focused new interview study, so a team can investigate the customer implications of a signal while it is relevant.

User Intuition charges $30 per quality voice interview for moderation and analysis. Standard panel recruitment adds $30 per participant. Incentives you arrange for your own participants are separate; specialist audiences require a recruiting quote. The published pricing lets research teams and agencies budget a focused study before committing to a broader program.

Crayon provides a custom quote for its competitive-enablement program. Vendr’s Crayon purchase data reports a $30,000 median annual purchase across 93 purchases. Crayon’s published offer includes unlimited users, insights and deliverables. User Intuition offers a smaller starting commitment when the task is to answer a defined question through buyer interviews.

User Intuition checks whether the conversation lasted long enough to address the brief, explored the participant’s experience in depth and covered the research topics. This makes the bill depend on the substance of the interview, giving your team a clearer basis for accepting work and planning the next study.

Crayon prices an ongoing intelligence program. User Intuition prices quality research interviews, making its acceptance rule directly relevant when you commission new buyer conversations.

User Intuition assesses the detail, variation and competing explanations behind each learning goal. When customers mention a competitor’s new feature, it helps examine whether that feature influenced the purchase, affected only one segment or stood in for a broader concern. The recommended action may be to analyze existing buyer detail or interview customers whose decisions contradict the apparent pattern.

User Intuition draws on information power and meaning saturation when assessing that evidence. Relevant, detailed accounts contribute more than another mention of the same feature. This informs how the product prioritizes a missing buyer perspective or a deeper examination of the interviews already available. See how User Intuition assesses evidence.

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, but stated intent leaves the next store choice unresolved. User Intuition recommends recontacting shoppers after their next comparable trip to understand what distinguished those who returned from those who chose another store. Explore the Walmart study and sample presentation to see the findings and two recommended follow-up studies.

User Intuition’s agent research workflow connects planning and execution. For example, ask whether a competitor’s lower price explains recent losses. The assistant can search earlier buyer interviews, frame alternatives such as implementation risk and prepare an interview brief that tests those explanations. Your team reviews the plan and approves spending; the assistant can monitor progress and return findings linked to source interview moments.

Crayon’s MCP server, Content API and Answers API deliver competitive intelligence into assistants and business systems. User Intuition extends the research workflow into new interviews: recruit the missing perspectives, collect the conversations and retrieve the evidence behind the findings.

User Intuition’s synthetic participants preserve individual experiences and behavioral differences that generic LLM feedback can flatten. A team can examine how different buyer profiles interpret “easier to implement” or “lower total cost,” then use their objections to improve the brief. That helps avoid asking broad preference questions when the real uncertainty concerns a specific workflow or responsibility. Calibration uses the differences between modeled and real responses to refine the representation of each person.

This design is informed by Park et al. (2024). Using interviews with 1,052 people, the researchers built simulations that reproduced General Social Survey answers 85% as accurately as those people reproduced their own answers two weeks later. For positioning work, this informs models that retain an individual buyer’s priorities and are calibrated through repeated comparisons with that person’s real responses. See how User Intuition grounds and calibrates synthetic participants.