Conveo vs User Intuition: AI Research, Pricing and Depth

1. Depth by default. In Conveo’s topic guide, the researcher sets a follow-up budget for each question: automatic (0–5), none, 0–1, 1–2 or 2–5. User Intuition’s 20–30 minute interviews ladder 5–7 levels by default, from a concrete experience to its consequences and the motivation behind it, and you decide how far the moderator probes. Required questions stay pinned in order, worded verbatim when the method calls for it, and the laddering happens around them.

2. Respondents from a vetted first-party panel. Conveo describes itself as interview technology, not a panel provider. Respondent and User Interviews are API-integrated, partners such as Norstat, Sago and Bilendi quote per project, and recruitment is billed on top of platform credits. User Intuition recruits from its own 4M+ vetted panel across 58 countries, tracks panelists across studies and screens every session for AI-generated or coached answers. Panel studies return 200+ interviews in 24 hours.

3. Published, quality-only pricing. Conveo’s sign-ups are disabled and access starts with a demo. Its vendor-supplied G2 listing (March 2026) shows Pay & Go credits and an Enterprise edition from $45,000 a year, prepaid. User Intuition publishes $30 per quality voice interview with no subscription, and interviews that fail Length, Depth and Coverage checks are not charged.

The two platforms share more than these differences suggest. Both trace findings to source evidence, query research across studies, support monadic designs, screeners and quotas, offer API and MCP access, and do not train AI models on customer data. The decision turns on interview depth, where the respondents come from, and how you buy.

Depth. Every interview ladders 5–7 levels by default, following Reynolds and Gutman’s laddering method from what a participant did to why it mattered. Conveo’s own product page says over 70% of its final insights come from AI follow-ups; User Intuition makes deep follow-up the default rather than a per-question allowance.

Your methodology, run as written. Bring your guide. Required questions stay pinned in order and worded verbatim; study rules such as no PII or no product claims hold in every conversation; screeners and hard quotas govern the sample; monadic and sequential monadic designs run as parallel cells compared side by side in the Hub and in exports.

Respondents and evidence you can trace to the verbatim. Use the vetted first-party panel or bring your own sample from a customer list, Prolific, Cint / Lucid, CloudResearch, any provider via custom link, or respondents from your own survey. Every finding traces to the quote, transcript and recording, and evidence review, informed by Malterud’s information power and Hennink’s meaning saturation, shows whether the material is enough to support the recommendation.

Modality and scale. Run voice, video or chat interviews in 80+ languages (Conveo says 50+), with no cap on parallel conversations.

Risk-free cost and client-safe delivery. Pay only for interviews that pass quality checks, at a published rate. Deliver from an isolated workspace per client with an editable presentation and CSV exports; white-label delivery is available. See how agencies run User Intuition.

Conveo added MaxDiff in April 2026 and Van Westendorp and Gabor-Granger pricing questions in June 2026. Participants rank items or react to prices, then explain their choices aloud, and Conveo’s homepage lists Conjoint, Kano and TURF as coming soon. Conveo also reads verbal, vocal and visual signal on video, offers second-by-second facial coding of reactions to video stimuli, and runs always-on tracking waves through StoryLines. Those are real strengths for a brief with defined concepts, messages or price points to compare.

User Intuition is built for the step before and after measurement. Laddering follows individual experiences, consequences and motivations to show which benefits deserve a place in the concept, and why a stated preference holds. For concept testing, User Intuition runs monadic and sequential monadic designs through parallel cells, compared side by side in the Hub and exports, with hard quotas and screeners.

Bring your discussion guide or build one from the brief. Your team sets the methodology, learning goals and audience, then reviews the plan and budget before launch. User Intuition handles parallel interviewing and first-pass analysis; your researchers inspect the evidence, interpret the findings and own the recommendation.

For example, depth interviews can explain what makes a product feel reassuring and help a team define the benefits worth testing. A later MaxDiff study can rank those defined benefits. User Intuition helps your team develop and check the explanation that makes the next structured test useful.

Laddering moves from a concrete experience toward its consequences and personal significance. The approach draws on Reynolds and Gutman’s original laddering research (1988). For a positioning brief, User Intuition can explore why a benefit matters, which experiences support that explanation, and where another explanation fits better. This helps a team choose which benefit to emphasize in a concept or message and explain why it matters to the intended audience. See how User Intuition applies laddering and the AI-moderated in-depth interview platform.

For example, say a participant calls a packaging concept “reassuring.” User Intuition can explore which detail creates that impression, what concern it resolves, and whether it would change the purchase. The result gives a team a reason to preserve or change a specific design element.

Conveo’s interview platform asks follow-ups after each answer within the budget set for that question, and lets the researcher choose the moderator’s tone and write probing instructions. MaxDiff and pricing questions carry their own probing controls. The practical test is to run the same question on both platforms and read how far each transcript gets past the first answer.

User Intuition’s evidence review is informed by information power and meaning saturation: the relevant detail in the interviews matters, and noticing a theme is different from understanding it well enough to advise on a decision. The review checks relevant experiences, depth, variation and competing accounts against your learning goals. It can recommend deeper analysis when the material already exists, targeted interviews when an important experience is missing, or no further research when the evidence is sufficient for the purpose.

Conveo says every insight links back to its source data and video clip, and its Talk to Your Data assistant queries across studies and StoryLines waves. Both platforms let a researcher check a claim against what participants said. User Intuition combines source-linked findings with an assessment of what the evidence supports and which uncertainty the next study should address.

For an agency, that assessment is what goes into the methods note of a readout: which learning goals the interviews support, how many distinct accounts sit behind each finding, and where the sample is thin. A client who asks how sure the team is gets an answer tied to the transcripts rather than to the size of the sample alone.

In the Walmart sample study, five of 43 shoppers described difficulty choosing between product variants, which points to a focused follow-up on what product information would help them decide.

Conveo says it works with 8+ panel providers. Two, Respondent and User Interviews, are API-integrated, so posting an engagement starts fielding; partners such as Norstat, Sago, Bilendi, Rakuten, DataDiggers and NewtonX quote per project. The widely cited 3M+ figure is Respondent’s panel, not a Conveo-owned panel. Conveo’s product FAQ puts Respondent recruitment at a $6 fee per participant plus incentives of about $1 per interview minute, about $21 for a 15-minute interview, on top of platform credits. Conveo states a fielding speed of 100 interviews in 3 days.

User Intuition’s participant recruitment starts from its own vetted panel, with panel recruitment at a published per-participant rate. A person listens to every panelist’s interviews before accepting them onto the panel, panelists are verified at signup and tracked across studies, and every session is screened for AI-generated or coached answers, so a stakeholder who asks where a quote came from gets a direct answer. Specialist audiences are recruited to order.

Bring your own sample when the audience is yours: a customer list, Prolific, Cint / Lucid, CloudResearch, any provider via custom link, or respondents routed from your own survey. Panel and own-sample interviews can sit in the same study, and every finding traces to its quote, transcript and recording.

User Intuition lets research teams and agencies run multiple studies and audiences in parallel. Start with five-minute self-serve setup and review findings as quality interviews finish. With your own participants, interviews run in parallel as people respond. Specialist audiences are recruited to order.

Conveo’s interviews are self-scheduled: participants take them on their own time, around the clock, and the AI follows up after each answer. Its public entry path is a demo, with recruitment through panel partners or your own audience. For a project deadline, add account access, partner recruitment and analysis to the fielding time. User Intuition lets your team set up a focused study directly and see results as quality interviews finish.

Five User Intuition quality voice interviews cost $150 in platform fees with your own participants, or $300 with standard panel recruitment. Incentives for your own participants are separate; specialist audiences receive a recruiting quote. User Intuition’s published rates let an agency price a fixed-fee project before the pitch, without an annual contract.

Conveo’s vendor-supplied G2 listing (March 2026) shows two editions: Pay & Go, at a higher per-credit price and aimed at agencies and small enterprises without a recurring research need, and Enterprise, prepaid annually from $45,000 a year. Conveo’s billing docs charge analysis at a base per-minute rate with multipliers for features such as advanced video analysis, so interview length drives the bill. Recruitment is billed separately. Since its September 2026 Series A, get a current quote for your scope.

User Intuition’s quality checks protect the project budget from completed sessions that do not provide enough substance. A participant can complete every question while offering only generic approval. User Intuition checks whether the interview explains a relevant experience and covers the brief with enough substance to be useful. A completed session that fails those checks is not charged, so researchers do not need to pursue a refund for an unusable interview.

Conveo scores interview quality and lets researchers exclude weak sessions from analysis. It publishes no policy on whether excluded sessions are credited, so for a Conveo quote, confirm how excluded interviews affect credits, participant incentives and recruitment charges.

For an agency, confidentiality is part of the deliverable. User Intuition separates each client’s studies, stimulus and findings in its own workspace, and outputs carry your brand rather than ours. Transcripts and screener answers export as CSV for your own analysis, and the presentation stays editable for the readout. See the security overview for data handling and retention.

Conveo publishes a strong security posture: its trust center lists SOC 2 Type II, SOC 3, ISO 27001:2022, ISO 27701:2019 and GDPR, core hosting on AWS in the EU, and isolated deployments for enterprise clients. Conveo also says it does not train AI models on client or agency data. If an ISO certificate is a hard procurement gate today, Conveo clears it.

Both platforms fit an AI-assisted stack. Conveo offers an API and a remote MCP server. User Intuition’s API and MCP research workflow lets an assistant inspect earlier studies, draft a focused brief, estimate recruitment costs, launch within approved spend, and retrieve findings with supporting quotes. Your team reviews the plan and spending before launch.