Discuss.io vs User Intuition: AI Research Depth and Pricing

User Intuition guides research teams and agencies from learning goals to an interview guide, audience and cost estimate. Your team reviews the plan and starts fieldwork directly. It can repeat that workflow for the next research question or unresolved finding.

Discuss’s plans include AI interviews and live research, with options for recruitment, technical support and project management. That combination matters when the engagement needs live observer access or a service team handling the research logistics.

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 consumer research, a preference for “simple packaging” could be about recognizing a familiar item, avoiding a mistaken purchase or choosing quickly under time pressure. Laddering helps turn that statement into a more precise design or positioning decision. See how User Intuition applies laddering.

Discuss’s AI interview workflow supports adaptive probing, stimuli and qualitative conversations alongside structured questions. Its live methods add human facilitation and observer participation. User Intuition makes goal-led interviews, quality review and follow-up planning available through self-serve study access.

User Intuition lets participants join concurrently across audiences and time zones. A research team can prepare the study, review recruiting costs and launch without scheduling each interview around a human moderator. Findings begin arriving as quality sessions finish.

Discuss also runs AI interviews in parallel and describes study setup in minutes, while its services can handle recruitment and coordination. Include account access, audience eligibility and any managed work when comparing the total timeline. User Intuition’s direct setup is especially useful for focused follow-ups between larger research programs.

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.

Discuss’s current plans use custom quotes and list unlimited users across their tiers. The commercial comparison should therefore use the actual plan, usage, recruitment and service scope. User Intuition’s project pricing gives teams a defined starting cost for a focused study without a required subscription.

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.

Discuss describes research quality controls and source-traceable analysis. Its plan and service agreement determine the treatment of rejected sessions and replacement work. User Intuition’s interview billing policy is explicit: Length, Depth and Coverage are checked automatically before a session is charged.

User Intuition lets your team recruit around the experience the decision requires: recent category buyers, customers who changed brands or people who encountered a specific service problem. A mixed sample can compare customer experience with alternatives in the wider market.

Discuss’s recruiting options include in-app audiences and professional recruitment services. User Intuition’s participant recruitment workflow connects audience criteria directly to the interview plan and evidence review. For multinational work, scope each audience’s eligibility and availability rather than treating language support alone as a recruitment guarantee.

User Intuition assesses the relevant experience, depth, variation and competing explanations in the interviews. A research report can identify a preference while leaving the reason, the affected audience or a counterexample unresolved. User Intuition makes those gaps visible against the learning goals. Discuss Intelligence also describes source-backed cross-study analysis, gap identification and study recommendations; User Intuition combines its evidence review with direct study access and explicit interview billing. Recommendations prioritize the gaps with the greatest consequence for the research purpose, so the next step addresses the decision your team must make.

User Intuition’s evidence review is informed by Malterud et al.’s information power framework, which relates sample adequacy to the relevant information interviews provide, and Hennink et al.’s saturation research, which distinguishes identifying a theme from understanding its meaning. User Intuition applies these principles to decide whether a gap calls for deeper analysis of existing interviews or a targeted study with people whose experiences are missing. For agency work, this helps justify the next audience or analysis step in terms of the client decision it could change.

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 an assistant to investigate why shoppers reject a packaging concept. It can find related interviews, draft a brief for the missing audience and prepare the recruiting estimate. After the study, it can retrieve quotes and findings for the recommendation. Your team reviews the plan and approves spending; the assistant can monitor progress and return findings linked to source interview moments.

Discuss Intelligence also describes MCP access for working with research and handing a narrative to other AI tools. User Intuition’s agent workflow covers new study preparation and approved launch alongside retrieval, so the team can act on an unanswered question from the same environment.

User Intuition’s synthetic participants preserve individual experiences and behavioral differences that generic LLM feedback can flatten. For a campaign or concept brief, the team can explore how different experiences affect interpretation, then use that preparation to refine recruitment and follow-up questions. This connects modeled exploration to a specific next research decision. 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. The useful principle is individual grounding paired with measurement against the person represented.

Discuss Intelligence also offers AskYourPersona, which lets teams explore questions through personas grounded in their customer research. User Intuition calibrates individual representations against the same opted-in respondents’ real answers, helping your team preserve the differences that matter when refining a brief. See how User Intuition grounds and calibrates synthetic participants.