Contify vs User Intuition: Market Monitoring and Buyer Research

Contify’s market-intelligence platform organizes information into feeds, dashboards and alerts. It combines internal content with external sources to give teams a shared view of companies and markets.

User Intuition lets research teams and agencies specify an audience, interview people about their own experience and assess the resulting evidence. For a market-entry decision, that could mean understanding how buyers handle a problem today, what would trigger a change and which alternatives they would consider.

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, interest in automation may reflect a desire to remove repetitive work, reduce approval delays or avoid errors that affect a customer relationship. Understanding that chain helps a team choose the right proposition and audience. See how User Intuition applies laddering.

A research brief can start with the signal but leave room for a different explanation. User Intuition follows the participant’s answers into concrete examples and trade-offs, providing a customer account that a news feed or company announcement cannot supply by itself.

A team can respond to a market development with a focused interview study instead of waiting for a scheduled research cycle. User Intuition supports your participants, a 4M+ vetted panel or both. Interviews run in parallel as participants respond, and panel studies field 200+ interviews in 24 hours.

Contify offers a seven-day trial and ongoing monitoring once the relevant sources and topics are configured. Its automation is suited to keeping an intelligence view current. User Intuition adds a study workflow when the team needs a new account of how customers are responding.

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.

Contify’s paid platform is quoted around the intelligence requirements, and its official platform offer includes unlimited user access. Contact Contify for the relevant scope and terms. User Intuition’s published per-interview model gives a team a clear starting budget for collecting customer evidence on a specific question.

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.

Contify’s intelligence workflow filters and organizes collected information. User Intuition applies its checks to the newly commissioned customer conversation, linking payment to whether the interview covers the brief in sufficient depth.

User Intuition examines the relevance and depth of customer experience, including differences and competing explanations. For a proposed market entry, it can assess whether the interviews include customers who recently faced the problem, whether their examples are detailed and whether alternative solutions explain their behavior. The product prioritizes the consequential gaps and recommends deeper analysis or a targeted follow-up study.

This approach is informed by information power, which relates sample adequacy to relevant information, and meaning saturation, which separates identifying a theme from understanding it. User Intuition uses these ideas to decide where existing customer detail is sufficient to analyze and where another perspective is needed. See how User Intuition assesses evidence.

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, 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 the assistant to explore why customers delay replacing a legacy tool. It can find previous customer evidence and prepare a brief about switching effort, approval processes and the alternatives people use. Your team reviews the plan and approves spending; the assistant can monitor progress and return findings linked to source interview moments.

Contify’s Athena AI extracts business facts and develops insights from external and internal intelligence. Its Business News API delivers structured information into other systems. User Intuition’s agent workflow is designed to commission customer conversations and assess what those interviews establish.

User Intuition’s synthetic participants preserve individual experiences and behavioral differences that generic LLM feedback can flatten. A team can examine the appeal of a proposed benefit alongside the habits and constraints of different customer profiles. The resulting objections help focus the next interview on the circumstances that would make someone change their behavior. 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 market-entry work, this informs models grounded in individual customers and measured against those people’s responses as the representation is refined. See how User Intuition grounds and calibrates synthetic participants.