Remesh vs User Intuition: AI Research and Study Pricing

Remesh’s research formats include Live sessions, self-paced Flex studies and Video interviews. Live combines responses and voting, while Flex lets people participate asynchronously. These formats support different ways of gathering and comparing input.

User Intuition’s AI-moderated interviews focus on an individual account: what happened, what the participant considered and why the experience mattered. For concept research, that can expose a use case or objection the team did not anticipate, then trace it far enough to inform a product or message decision.

User Intuition applies 5–7 levels of laddering. In Remesh Live, the moderator can request suggested probes after a group question closes; User Intuition’s moderator follows each person’s answer within their own interview. A participant who dislikes a concept’s complexity can describe the occasion when it would be used, the workaround they prefer and what they would risk by changing. This turns a reaction into an explanation a product team can act on.

The design is informed by Reynolds and Gutman’s laddering method, which links attributes to practical consequences and personal values. For a concept test, it helps the team understand whether a negative response concerns usability, trust, fit with a routine or a more important trade-off. See how User Intuition applies laddering.

Remesh’s on-demand recruitment describes Flex fielding within 24 hours and at least two business days for Live recruitment. Those are recruiting timelines within an eligible project. Setup, audience and the selected research format affect the complete schedule.

User Intuition fields 200+ panel interviews in 24 hours; with your own participants, interviews run in parallel as they respond. Recruit through a 4M+ vetted panel or invite your own participants; interviews are available in 80+ languages. Your team can compare early findings as quality interviews finish and continue recruiting the experiences required by the brief.

Five User Intuition interviews total $300 with standard recruitment. BYOP incentives are separate; specialist audiences require a quote. User Intuition’s published starting example makes the full standard study cost visible before launch.

Remesh’s recruiting terms list $1 per participant per minute for Flex and $1.25 for Live, excluding software, with audience eligibility conditions. User Intuition interviews run 20–30 minutes; for Remesh, a session of that length implies $20–$30 (Flex) or $25–$37.50 (Live) per participant for recruitment alone at those rates. Remesh’s project and subscription options require a quote for the complete engagement.

User Intuition evaluates the conversation against the brief before charging: its length, the depth of the participant’s account and coverage of the research topics. A session that finishes without exploring the relevant experience should not consume the same interview budget as a substantive conversation.

Remesh’s recruiting terms cap charges at the requested participant count or actual completed count, whichever is lower. User Intuition’s rule additionally makes its interview charge conditional on passing Length, Depth and Coverage checks. Research teams and agencies receive automatic billing protection without a manual refund request.

User Intuition’s evidence review is informed by Malterud et al.’s information power framework and Hennink et al.’s research on meaning saturation. These approaches relate sample adequacy to relevant information and distinguish noticing a theme from understanding it in depth. User Intuition uses these approaches to examine whether agreement on a theme is supported by detailed explanations across relevant experiences. It can recommend further analysis of existing interviews or focused conversations with participants whose different experience might change the interpretation.

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, then comparing those who returned with those who chose another store. This tests what turns stated intent into a store choice. Explore the Walmart study, two recommended follow-ups and sample presentation.

Remesh’s research workflow overview describes planning, recruitment, probing, cited analysis and presentation exports through Remy and connected tools. Agent access is therefore a shared capability, with different research formats and commercial terms behind it.

With User Intuition’s agentic research workflow, a product team can ask an assistant to review a concept study, identify an unresolved usage scenario and prepare a focused interview brief. The resulting findings return with source quotes and evidence assessment, so the next decision can build on the same research record.

User Intuition’s synthetic participants help teams explore how a concept fits different habits, preferences and lived experiences. Their calibrated responses can help refine stimuli and prioritize follow-up questions before commissioning more interviews. Explore User Intuition’s synthetic participants. See how User Intuition grounds and calibrates synthetic participants.

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 result informs User Intuition’s person-specific grounding and repeated calibration against the original respondent. Remesh also provides AI simulations for research preparation. User Intuition’s design centers on calibration against the same opted-in person’s real responses, helping preserve individual variation when exploring a new question.

User Intuition measured this in a preregistered benchmark: a synthetic conditioned on a person’s own interview closed 81% of the fidelity gap, while demographics alone reached 19%, in within-domain response prediction. See the benchmark.