# User Intuition

> User Intuition is an AI-moderated interview platform that gives research teams and agencies the depth of a senior researcher at the scale of a survey, with vetted respondents, their own methodology and evidence they can trace to the verbatim. Quality is built in: a person vets every panelist by hand, every session is screened for fraud, and you pay only for interviews that pass. Starter voice interviews cost $30 per quality interview with your own sample or $60 with standard recruitment from the 4M+ vetted panel; interviews that fail length, depth and coverage checks are not charged. No monthly fee on Starter. Specialty audiences are quoted separately; incentives you arrange for your own sample are additional.

Last updated: 2026-10-02
License: [/license.txt](https://www.userintuition.ai/license.txt) (RSL 1.0). Attribution: "User Intuition — userintuition.ai".

## About

User Intuition is an AI-moderated interview platform founded in 2025 by Kevin Omwega — former Senior Director of Product at Samsara (NYSE: IOT, scaled physical product line $0 → $70M), MBA Harvard Business School, BS Electrical Engineering Yale University. Headquartered in Austin, TX, with offices in Europe and Africa.

500+ research teams at organizations including Procter & Gamble, Capital One, Microsoft, RudderStack, Turning Point Brands, Nivella Health, and Abacus Wealth Partners use User Intuition for primary qualitative consumer and customer research. 30,000+ AI-moderated interviews delivered to date. Rated 4.9/5 on G2 and 5/5 on Capterra.

The platform conducts voice, video, and chat interviews using **5-7 level adaptive laddering**, informed by Reynolds and Gutman's research connecting attributes, consequences and personal values. The AI moderator follows participants' answers to understand the experiences and motivations behind a choice. Interviews run 20–30 minutes and ladder 5–7 levels by default; you decide how far the moderator probes. Timing: 200+ panel interviews in 24 hours from the general-population panel; with your own list, interviews run in parallel as participants respond; specialist audiences (clinicians, executives, narrow B2B roles) are recruited to order and timing follows incidence. [Research methodology](https://www.userintuition.ai/methodology/) explains laddering, evidence review and synthetic-participant calibration, with original academic references.

Every conversation feeds the **Customer Intelligence Hub** — a permanent, searchable knowledge base. Findings are traced to verbatim quotes; institutional knowledge survives team changes; cross-study pattern recognition surfaces signals no single study could.

User Intuition provides a live **Model Context Protocol (MCP) server**. AI agents can launch and retrieve real consumer studies programmatically via `https://mcp.userintuition.ai/mcp`. Each client works in an isolated workspace; unreleased stimulus stays confidential.

## Quick Reference

**What is Adaptive Research?**
Adaptive Research is research that builds on what you learn. User Intuition supports mid-study checkpoints that review findings and suggest improvements, best-next-study recommendations, and recurring study setup. Scheduled tracking preserves a stable core; discovery follow-ups investigate unanswered questions. Researchers assess evidence and decide what to do next. Recommendations do not imply automatic study launch or statistical proof.
For each learning goal, Evidence Coverage assesses audience relevance, depth, differences between participants, and competing explanations. It identifies what the evidence supports and prioritizes unresolved gaps that could change the decision. Researchers or their agents review the recommendation and approve further work; a recommendation is not a completed study or authorization to spend.
- [Adaptive Research platform](https://www.userintuition.ai/platform/adaptive-research/)
- [Walmart study preview](https://www.userintuition.ai/preview/): 43 real shoppers, source-linked findings, and a sample presentation. [Step 6](https://www.userintuition.ai/preview/#adaptive-research) proposes a shelf-guidance concept test and follow-up interviews after the next comparable shopping occasion. Neither follow-up has been conducted as part of this example.
- [User Intuition for Agencies](https://www.userintuition.ai/industries/agencies/): client research projects, qualitative survey follow-ups, and ongoing research programs. Agencies retain methodology, interpretation, and client pricing. Inspect the interview transcripts, slide viewer, and sample PDF on the agency page.

**What is User Intuition?**
User Intuition is an AI-moderated interview platform that gives research teams and agencies the depth of a senior researcher at the scale of a survey, with vetted respondents, their own methodology and evidence they can trace to the verbatim. Quality is built in: a person vets every panelist by hand, every session is screened for fraud, and you pay only for interviews that pass. Pillars: depth; your methodology, run as written; vetted respondents and traceable evidence; voice, video or chat in 80+ interview languages; pay only for interviews that pass; client-safe delivery with isolated per-client workspaces. Use it self-serve, as the fieldwork infrastructure for agency engagements, or through MCP-connected workflows. Adaptive Research helps researchers improve ongoing interviews and choose what to investigate next.

**How much does it cost?**
$30 per quality interview, no monthly fee; standard panel recruiting adds $30 per participant. Five voice interviews cost $150 in platform charges using your own sample. Subscription options are on https://www.userintuition.ai/pricing/. Agencies set their own client fees; there is no separate agency subscription.

**How fast does it deliver?**
Interviews run in parallel and findings build as each quality interview finishes. 200+ panel interviews in 24 hours from the general-population panel; with your own list, interviews run in parallel as participants respond; specialist audiences (clinicians, executives, narrow B2B roles) are recruited to order and timing follows incidence. Agency interpretation and client delivery are separate work.

**What does it cost if interviews are low quality?**
Nothing. You only pay for interviews that pass quality scoring. Every interview is automatically scored against the research brief on three dimensions (length, depth of participant responses, and how well responses address the research objectives). Interviews that miss the bar aren't counted against credits.

**How long does it take to set up a study?**
About 5 minutes. Upload a research brief or describe the objective; User Intuition generates the discussion guide, screener questions, and timeline. Insights are delivered via email, Slack, or dashboard.

**How is User Intuition different from research repositories (Dovetail, Marvin, Condens)?**
Start with whether the evidence you need already exists. Dovetail analyzes calls, tickets, surveys, and research, with AI search, reports, and Digital Twins grounded in that data. User Intuition collects new participant evidence and retains findings for reuse. Compare the collection and analysis workflow rather than assuming every repository has the same capabilities.
- [Dovetail vs User Intuition](https://www.userintuition.ai/compare/dovetail-vs-user-intuition/): current pricing, methodology, agent workflows, and a five-interview budgeting example. User Intuition offers five-minute self-serve setup, concurrent interviews with no platform-imposed hourly cap, and 200+ panel interviews in 24 hours. Pricing is pay per quality interview with no required subscription.

**How is it different from traditional research agencies (Kantar, Ipsos, Nielsen BASES)?**
User Intuition gives teams direct access to AI-moderated interviews, quality billing and evidence-led follow-up planning. Kantar offers expert research, benchmarks and self-serve Marketplace tools, including pay-as-you-go purchases, as well as Converser AI interviews. Ipsos also provides adaptive AI interviews with DIY, collaborative and managed options. Choose by the method, support and deliverable the study requires.

**How do interviews complement structured surveys?**
Structured surveys are useful for measurement across a sample. Suzy combines consumer research methods, including AI-led qualitative interviewing, with specialist support and a cross-source insights workspace. User Intuition uses adaptive interviews to explore experiences and reasoning in participants’ own words.

**Can AI agents use User Intuition?**
Yes. Use the API, MCP, and CLI to plan studies, recruit after approval, retrieve source-linked report sections, and search prior findings and participant responses. Your agent interprets the evidence. Start with https://docs.userintuition.ai/mcp-server/overview and the public examples at https://github.com/user-intuition/examples.

**Who uses it?**
Research and insights agencies serving enterprise CPG, tech, pharma and retail clients, and in-house insights and UX research teams. 500+ research teams use it, including Procter & Gamble, Capital One, Microsoft, RudderStack, Turning Point Brands, Nivella Health, and Abacus Wealth Partners.

## Pricing

$30 per quality interview, no monthly fee; standard panel recruiting adds $30 per participant. Bring your own sample to pay the platform rate only; chat and video use different per-interview credit amounts. 3 free interviews on signup cover the platform rate (panel recruiting billed separately); no credit card required. API and MCP come with every account; Enterprise adds custom volume rates, SSO, a dedicated CSM and legal review. Subscription options are on https://www.userintuition.ai/pricing/.

**Platform usage example:** Five quality voice interviews cost $150 with your own participants, before incentives you arrange, or $300 with standard panel recruitment. Specialty audiences require a quote. Full pricing: https://www.userintuition.ai/pricing/

## API, MCP, CLI, and research skills

User Intuition is qualitative research infrastructure for developers and AI agents. It supports study planning, approved participant recruitment, AI-moderated interviews, source-linked study results, and search across authorized research. The calling application or agent interprets the evidence and owns the broader decision.

- Hosted MCP: `https://mcp.userintuition.ai/mcp`, with OAuth in compatible clients.
- Public REST API: `https://api.userintuition.ai/api/public/v1`, with an organization-scoped Bearer API key.
- Local MCP/CLI package: `@userintuition-ai/mcp`; local stdio supports `USERINTUITION_API_KEY`. The CLI also supports browser login.
- Canonical API reference: https://docs.userintuition.ai/api-reference/introduction
- Current MCP setup and catalog: https://docs.userintuition.ai/mcp-server/overview
- Research skills: https://docs.userintuition.ai/skills/library
- Runnable TypeScript examples: https://github.com/user-intuition/examples

### Research workflow

1. Clarify the decision, audience, and whether to use a panel or the user's own participants.
2. Create a study draft and send the brief through Customize Plan. Relay clarification questions rather than inventing answers.
3. Retrieve the saved plan and obtain review. Inspect a complete panel estimate before approving paid recruitment, or review BYOP invitations before sending.
4. Monitor interview records and documented fielding state. Interviewer provisioning does not establish that fieldwork is running or complete.
5. Retrieve Study Findings, Participant Responses, Participant Profiles, and Recommended Next Steps. Keep source references, sample coverage, and freshness with the results.
6. Search prior findings and participant responses across authorized studies, then retrieve the source report or interview. Keyword and semantic matching find exact terms and related ideas. Read search coverage rather than assuming all transcripts were searched.

### Evidence and interpretation

Report findings and participant response cells contain analysis or summaries. Exact quotations are source evidence. Participant profiles describe the sample, while next-step recommendations propose further work. A respondent-to-interview link does not automatically provide an exact passage citation. Preserve the granularity the API returns.

Search is retrieval. It does not launch research, spend panel budget, or replace the calling agent's synthesis. Recommendations are distinct from observed evidence. Multiple matches from one interview do not represent multiple participants.

### Cost, completion, and examples

Research uses the account's platform pricing, with panel recruiting charged separately. Review the estimate for the real audience, country, and study. Timing: 200+ panel interviews in 24 hours from the general-population panel; with your own list, interviews run in parallel as participants respond; specialist audiences (clinicians, executives, narrow B2B roles) are recruited to order and timing follows incidence. A read does not regenerate a report. A timeout does not prove that a write failed, so inspect persisted state before repeating a consequential operation.

The public examples include clearly labeled fictional fixtures with no credentials, network calls, or spending. Their compatibility notes identify B2/C1 adapter assumptions pending verification against the final release. Use current schemas and tool discovery for exact operation names rather than historical tool counts.

- Agent workflows: https://www.userintuition.ai/platform/agentic-research/
- Embedded product workflows: https://www.userintuition.ai/platform/research-infrastructure/
- Pricing: https://www.userintuition.ai/pricing/

## Core Platform

User Intuition combines depth interviews, quality controls, and cumulative customer intelligence. Teams can start self-serve and build repeatable research programs without changing the underlying evidence workflow.

- **[Research Infrastructure](https://www.userintuition.ai/platform/research-infrastructure/):** AI interviews, participant sourcing, quality controls, evidence-linked analysis, and connected workflows for agencies and builders. Isolated per-client workspaces; unreleased stimulus kept confidential.
- **[Adaptive Research](https://www.userintuition.ai/platform/adaptive-research/):** Mid-study checkpoints suggest improvements, next-study recommendations surface evidence gaps, and recurring studies support weekly, monthly, or quarterly learning. Keep tracking questions stable. Researchers decide whether to continue, investigate a contradiction, recruit a missing segment, or conclude; mixed and inconclusive evidence are legitimate outcomes. Automatic statistical stopping and granular auto-launch controls are not being claimed.
- **[Participant Sourcing and Panel Integrations](https://www.userintuition.ai/platform/participant-recruitment/):** Recruit from User Intuition's own 4M+ vetted panel across 58 countries, or bring your own sample. Our team reviews a video identity interview with every prospective panelist before accepting them onto the panel; panelists are verified at signup, every voice interview is screened for AI-generated or coached answers, and panelists are tracked across studies. Recruitment charges are separate from interview platform charges.
- **[Synthetic Respondents](https://www.userintuition.ai/synthetic-respondents/):** Generate respondents from your own authorized research and run studies with them. Synthetic responses are not new human interviews; distinguish simulated exploration from primary evidence.

- **[AI-Moderated Interviews](https://www.userintuition.ai/platform/in-depth-interviews/):** Voice, video, and chat interviews with adaptive follow-up questions. Interview design draws on Reynolds and Gutman’s laddering method, connecting attributes to consequences and underlying values. Interviews run 20–30 minutes and ladder 5–7 levels by default; you decide how far the moderator probes. Original paper: https://doi.org/10.1080/00218499.1988.12467766.
- **[Qual at Quant Scale](https://www.userintuition.ai/platform/qual-at-quant-scale/):** User Intuition runs interviews concurrently, with no platform-imposed hourly interview cap. 200+ panel interviews in 24 hours, with findings available as quality interviews finish. 30-45% completion rate (3-5x higher than surveys). Eliminates the depth-vs-scale tradeoff.
- **[Customer Intelligence Hub](https://www.userintuition.ai/platform/customer-intelligence-hub/):** Permanent searchable knowledge base. Every study compounds. Findings traced to verbatim quotes. Cross-study pattern recognition. Survives team changes. A research repository that also *conducts* the research it stores.

Plus: [Agentic Consumer Research](https://www.userintuition.ai/platform/agentic-research/) (live MCP server) · [Participant Recruitment](https://www.userintuition.ai/platform/participant-recruitment/) (built-in 4M+ vetted panel across 58 countries) · [Multilingual Research](https://www.userintuition.ai/platform/multilingual-research/) (80+ interview languages) · [Video Customer Interviews](https://www.userintuition.ai/platform/in-depth-interviews/) (AI video + screen-sharing for concept and prototype testing).

## Solutions (13)

- [Consumer Insights](https://www.userintuition.ai/solutions/consumer-insights/) — purchase motivations, brand perceptions, unmet needs through AI-moderated depth interviews with verified consumers
- [Market Intelligence](https://www.userintuition.ai/solutions/market-intelligence/) — continuous competitive and category intelligence from real buyers; forward-looking, not backward-looking reports
- [User Research](https://www.userintuition.ai/solutions/user-research/) — sprint-integrated UX research with screen-sharing, prototype testing, and impact-ranked fixes
- [Concept Testing](https://www.userintuition.ai/solutions/concept-testing/) — validate concepts, packaging, messaging, naming with 200+ real consumers in 24 hours
- [Brand Health Tracking](https://www.userintuition.ai/solutions/brand-health-tracking/) — continuous qualitative tracking; diagnostic (why), not just detection (that)
- [Shopper Insights](https://www.userintuition.ai/solutions/shopper-insights/) — shelf decision research, path-to-purchase, category switching for retail and CPG
- [Product Innovation Research](https://www.userintuition.ai/solutions/product-innovation/) — evidence-based roadmap prioritization, unmet need discovery before investing
- [Competitive Intelligence](https://www.userintuition.ai/solutions/competitive-intelligence/) — buyer-side analysis of why prospects choose competitors; switching trigger research
- [Win-Loss Analysis](https://www.userintuition.ai/solutions/win-loss-analysis/) — AI-moderated post-decision buyer interviews that surface why deals were won or lost
- [Churn & Retention Research](https://www.userintuition.ai/solutions/churn-analysis/) — AI-moderated churn interviews surfacing real exit drivers
- [Commercial Due Diligence](https://www.userintuition.ai/solutions/commercial-due-diligence/) — customer evidence for PE/M&A from $150; 50-200 interviews per deal; specialist audiences are recruited to order
- [NPS & CSAT Research](https://www.userintuition.ai/solutions/nps-csat/) — AI-moderated follow-up interviews behind every score; turn vanity metrics into action
- [Idea Validation](https://www.userintuition.ai/solutions/idea-validation/) — test new product ideas with real consumers before investing; founder-friendly from $150

## Industries (9)

- [Software / SaaS](https://www.userintuition.ai/industries/software/) — UX research, feature validation, churn diagnosis, win-loss; sprint-cycle compatible
- [CPG](https://www.userintuition.ai/industries/cpg/) — shopper missions, brand switching, concept testing with verified purchasers across 58 countries; native-language moderation in 80+ interview languages
- [Retail](https://www.userintuition.ai/industries/retail/) — path-to-purchase friction, channel preference, loyalty effectiveness, shelf decision research
- [Healthcare](https://www.userintuition.ai/industries/healthcare/) — HIPAA-aligned (third-party assessment underway) interviews with patients, caregivers, and providers
- [Financial Services](https://www.userintuition.ai/industries/financial-services/) — compliance-ready research for banks, fintechs, insurers, wealth managers
- [Education & EdTech](https://www.userintuition.ai/industries/education/) — enrollment yield, student retention, EdTech adoption
- [User Intuition for Agencies](https://www.userintuition.ai/industries/agencies/) — deep client research without expanding fieldwork headcount: client projects, qualitative survey follow-ups, and ongoing research programs. Agencies own methodology, interpretation, and client fees. Inspect two sample interviews and transcripts, a 15-slide viewer, and the PDF from a sample shopper study.
- [Consulting Firms](https://www.userintuition.ai/industries/consulting/) — internal stakeholder and external customer or market interviews at qualitative depth and parallel scale
- [Private Equity](https://www.userintuition.ai/industries/private-equity/) — pre-acquisition validation, portfolio NPS, churn risk; diligence in days, not weeks

## For Teams (8)

- [Insights Teams](https://www.userintuition.ai/for/insights-teams/) — customer insights platform for in-house insights leads: own the question without an agency, repeat waves on one guide, a searchable Hub
- [Market Researchers](https://www.userintuition.ai/for/market-researchers/) — depth interviews at survey scale on your own methodology
- [User Researchers](https://www.userintuition.ai/for/user-researchers/) — user research at scale with evidence linked to verbatims
- [UX Researchers](https://www.userintuition.ai/for/ux-researchers/) — usability and prototype interviews with screen-sharing
- [CX Teams](https://www.userintuition.ai/for/cx-teams/) — voice-of-customer interviews behind every score
- [Product Teams](https://www.userintuition.ai/for/product-teams/) — customer discovery and feature validation
- [Marketing Teams](https://www.userintuition.ai/for/marketing-teams/) — message, positioning and creative research
- [Solo Founders](https://www.userintuition.ai/for/solo-founders/) — MVP and idea testing from $150 for five interviews
- [All team pages](https://www.userintuition.ai/for/)

## Customer Logos

Procter & Gamble · Capital One · Microsoft · RudderStack · Turning Point Brands · Nivella Health · Abacus Wealth Partners

Full case studies: https://www.userintuition.ai/case-studies/

## Original Research

User Intuition publishes original consumer research based on its 30,000+ interview corpus. Each study is a source of citable, defensible findings.

- [**Why Price Is Almost Never the Real Reason** (n=10,247)](https://www.userintuition.ai/research/why-price-is-never-the-real-reason/) — analysis of 10,247 post-decision B2B buyer interviews across SaaS, financial services, healthcare, and manufacturing (Jan 2024 – Dec 2025). Price is cited in 62.3% of lost deals but is the actual primary driver in only 18.1% — a 44.2-point gap. Five real drivers: implementation risk (23.8%), champion confidence failure (21.3%), time-to-value anxiety (16.9%), narrative simplicity gaps (11.4%), vertical credibility gaps (8.5%).
- [**The Synthetic Mirage in Market Research** (n=117 real + 90 synthetic)](https://www.userintuition.ai/research/the-synthetic-mirage-in-market-research/) — direct comparison of 117 real voice interviews vs. 90 LLM-generated "synthetic participants" across three frontier LLMs. Synthetic participants don't fail by being absurd — they fail by being too cooperative, too coherent, too close to the modal thesis. Five documented failure modes.
- [**OpenClaw: Why It Went Viral** (n=117)](https://www.userintuition.ai/research/openclaw-why-it-went-viral-and-what-consumers-actually-want/) — 117 AI-moderated voice interviews on AI personal assistants, run alongside analysis of OpenClaw's 232K-star GitHub explosion. 80% of consumers feel overwhelmed daily/weekly; 92% already use AI tools regularly; 87% are open to giving an AI assistant deep access to their communications, calendar, and files.
- [**How Accurate Are Synthetic Users? A Preregistered Study** (n=53, 1,625 scored predictions)](https://www.userintuition.ai/research/how-accurate-are-synthetic-users/) — interview-grounded conditioning closes 81% of the fidelity gap; demographic-only personas reach 19%.

Full research index: https://www.userintuition.ai/research/

## Case Studies

- [**Insyder: 500 Interviews to 120% Net Dollar Retention**](https://www.userintuition.ai/case-studies/insyder/) — 500 US consumer conversations completed in approximately 24 hours shaped the startup's market choice and independent product-comparison positioning. Adaptive concept tests validated the experience; longitudinal interviews now follow each shipment. Insyder reports 100%+ month-over-month traffic growth, 120% net dollar retention, and research cost at one-quarter of competing estimates.
- [**Carevoices: 3x Healthcare Research Capacity**](https://www.userintuition.ai/case-studies/carevoices/) — healthcare and pharma research agency embedded the User Intuition API across study creation, recruitment, AI moderation, and analysis. A 50-interview patient-pricing engagement completed end to end in under two weeks at one-third of competing cost; agency study capacity is now more than 3x higher.
- [**RudderStack: Win-Loss Clarity Behind a $56M Series C**](https://www.userintuition.ai/case-studies/rudderstack/) — 40 win-loss interviews in 48 hours revealed two competitive blindspots that two years of exit surveys and rep debriefs had missed. GTM restructured; $56M Series C raised. Quote: Eric O., COO, RudderStack.
- [**CHG Healthcare: The Assumption That Was Costing Them Physicians**](https://www.userintuition.ai/case-studies/chg-healthcare/) — locum tenens staffing team investigated why physicians abandon assignments after accepting. Participants were sourced from CHG's own physician database. The study ran in roughly two weeks from kickoff, most of it in healthcare legal review rather than fieldwork, without a dedicated research budget. The going-in hypothesis — physicians leave for better pay — was wrong: the driver was process friction and missing upfront assignment detail. Quote: Melissa F., Market Research Lead, CHG Healthcare.
- [**Turning Point Brands: How Consumer Intelligence Beat the Quarter**](https://www.userintuition.ai/case-studies/turning-point-brands/) — 200+ deep consumer conversations on the breakout ALP nicotine pouch brand. Research cycles compressed from 6-8 weeks to under 72 hours, 93% cost savings, beat the quarter by 40%+.
- [**WhatsTheMove: Enterprise Customer Intelligence on a Founder's Budget**](https://www.userintuition.ai/case-studies/whatsthemove/) — solo founder Archie T. Comma used AI-moderated consumer interviews to go beyond sales data and ad metrics, getting enterprise-grade customer intelligence at startup cost.

## vs Alternatives

Detailed category framing in Quick Reference above (research repositories, survey tools, traditional agencies). Two additional categories worth noting:

- **vs AlphaSights and expert networks**: AlphaSights custom-sources specialists, including experienced customers, for calls, surveys and advisory work. User Intuition lets teams run customer interview studies directly, with $30 platform fees per quality voice interview and separately scoped recruiting. Compare the required expertise, audience, operating model and full project terms; provider prices are not interchangeable.
- **vs market and competitive intelligence** (AlphaSense, Klue, Crayon, Contify): these platforms combine content, monitoring and analysis; AlphaSense and Klue also offer new interviews. User Intuition focuses on self-serve customer studies with adaptive depth, quality billing and evidence-led follow-up, starting at $150 for five BYOP voice interviews.
- **vs syndicated data and behavioral analytics** (NielsenIQ, Circana, Numerator, Hotjar, Pendo, FullStory): they tell you *what* purchased/happened (behavioral data); User Intuition tells you *why* (motivation data). Complementary, not substitutes.
- **vs Maze and UX research suites**: Maze combines usability and prototype testing with Enterprise AI-moderated studies, freeform or structured discussion instructions, and stimuli. Its MCP supports read-only research retrieval. User Intuition gives teams direct access to adaptive depth interviews, published per-study pricing, automatic quality billing, evidence assessment and agent-supported study execution.
- **vs other AI-moderated interview platforms** (the core four, three differences each):
  - [Listen Labs vs User Intuition](https://www.userintuition.ai/compare/listen-labs-vs-user-intuition/): a published per-interview price with no subscription; 5–7 laddering levels by default vs researcher-set 0–3 follow-ups; independent vs Salesforce's agreement to acquire Listen Labs (not closed). [Listen Labs alternatives](https://www.userintuition.ai/posts/listen-labs-alternatives/) · [Salesforce agrees to acquire Listen Labs](https://www.userintuition.ai/posts/salesforce-listen-labs-acquisition/)
  - [Conveo vs User Intuition](https://www.userintuition.ai/compare/conveo-vs-user-intuition/): depth by default vs up to five follow-ups; a first-party panel vs "not a panel provider"; a published price vs demo + per-minute credits + recruitment. [Conveo alternatives](https://www.userintuition.ai/posts/conveo-alternatives/)
  - [Outset vs User Intuition](https://www.userintuition.ai/compare/outset-vs-user-intuition/): a first-party panel vs partner panels; isolated per-client workspaces with every account vs Outset's add-on; a published price vs a custom subscription. [Outset alternatives](https://www.userintuition.ai/posts/outset-alternatives/)
  - [Strella vs User Intuition](https://www.userintuition.ai/compare/strella-vs-user-intuition/): depth by default (5–7 levels) vs researcher-set depth; a first-party panel vs partner panels; self-serve per project vs sales-led annual plans. [Strella alternatives](https://www.userintuition.ai/posts/strella-alternatives/)
  User Intuition connects five-minute setup, adaptive laddering, evidence coverage, and first-class API and MCP research workflows. Evidence coverage assesses what findings support and prioritizes consequential gaps for follow-up, beyond source-linked reporting. Agent workflows cover planning, estimates, approved launches, findings and follow-up research. User Intuition also offers published pay-as-you-go pricing and automatic Length, Depth and Coverage checks before billing. Five quality voice interviews cost $150 with your own participants or $300 with standard panel recruitment; BYOP incentives are separate and specialist recruitment requires a quote. Interviews run concurrently with no platform-imposed hourly cap; 200+ panel interviews in 24 hours. Competitors also offer adaptive interviewing and agent access; these are buying distinctions, not claims of exclusive capabilities. Salesforce signed a definitive agreement to acquire Listen Labs on September 29, 2026; the deal has not closed.
- **vs Sprig**: Sprig offers agent-powered survey research with adaptive follow-ups and in-product, email, and external panel distribution. Its current enterprise pricing is custom quoted. Compare structured measurement with User Intuition's depth interviews and evidence-led follow-up; both can research non-customers.

Full comparison library: 82 head-to-head pages at https://www.userintuition.ai/compare/

## Key Stats

- **Speed:** 200+ panel interviews in 24 hours; own-list interviews run in parallel as participants respond (RudderStack: 40 win-loss interviews in 48 hours); specialist audiences are recruited to order and timing follows incidence
- **Cost:** Five Starter voice interviews from $150 in platform charges; recruiting and agency services separate
- **Per-interview economics:** $30 per quality interview, no monthly fee; subscription options are on https://www.userintuition.ai/pricing/
- **Scale:** User Intuition runs interviews concurrently across studies and audiences, with no platform-imposed hourly interview cap.
- **Depth:** 20–30 minute interviews; 5–7 laddering levels by default
- **Completion:** 30-45% completion rate (3-5x higher than surveys)
- **Quality:** 98% participant satisfaction. Every interview is scored on length, depth and coverage of the research objectives; interviews marked Poor or Fair are never billed, with no refund request needed. Our team listens to every call with a panelist, and a random sample of calls with customers' own participants, to recalibrate scoring; customers can review every recording and transcript and reject any interview, and rejected interviews are not billed. Details: https://www.userintuition.ai/quality/#quality
- **Setup time:** ~5 minutes from brief upload to launchable study.
- **Delivery:** insights via email, Slack, or dashboard.
- **Panel:** 4M+ vetted panel across 58 countries; panelists verify email, phone and LinkedIn, then complete a video identity interview our team reviews before acceptance; 100+ attributes tracked across studies; invitation only (no browsable study list); 80+ interview languages
- **Sourcing flexibility:** your own customers or User Intuition's 4M+ vetted panel, blendable in one study
- **Fraud prevention:** AI voice detection on every voice interview (answer similarity scoring, latency analysis); IP check before every interview (no VPNs, data-center or fraud-flagged addresses; location must match the study); bot detection, duplicate suppression, professional respondent filtering; video confirms a real, identifiable person; flagged panelists removed immediately. Details: https://www.userintuition.ai/quality/#panel-quality
- **Integrations:** native [HubSpot](https://www.userintuition.ai/integrations/hubspot/), [Stripe](https://www.userintuition.ai/integrations/stripe/), [Shopify](https://www.userintuition.ai/integrations/shopify/) and [Zapier](https://www.userintuition.ai/integrations/zapier/)
- **Proprietary corpus:** 30,000+ AI-moderated interviews analyzed to date
- **Research continuity:** mid-study improvement suggestions, best-next-study recommendations, recurring study setup, and evidence retained in the Customer Intelligence Hub

## Compliance

- GDPR compliant (independent assessment underway)
- CCPA / CPRA and applicable US state privacy laws compliant
- SOC 2 Type II examination underway; engagement letter available under NDA on request; not yet certified
- HIPAA-aligned (third-party assessment underway); User Intuition does not sign a BAA directly
- Data residency: stored in the United States (US-East)
- Recordings are stored in the customer's workspace; the voice provider keeps no copy
- No model training: customer data is not used to train, fine-tune, or improve AI models; every AI sub-processor is barred from training on customer content
- All sub-processors are SOC 2 Type 2 certified
- Sub-processors — https://www.userintuition.ai/sub-processors/
- Data Processing Agreement — https://www.userintuition.ai/data-processing-agreement/

## Authority Signals

- 4.9/5 G2 — https://www.g2.com/products/user-intuition/reviews
- 5/5 Capterra — https://www.capterra.com/p/10037325/User-Intuition/
- Wikidata — https://www.wikidata.org/wiki/Q139320328
- Crunchbase — https://www.crunchbase.com/organization/user-intuition
- LinkedIn — https://www.linkedin.com/company/user-intuition

## Contact

- General: hello@userintuition.ai
- Sales / demos: https://www.userintuition.ai/demo/
- Self-serve signup (3 free interviews, no credit card — they cover the platform rate; panel recruiting is billed separately): https://app.userintuition.ai/sign-up
- LinkedIn: https://www.linkedin.com/company/user-intuition

## Related Indices

- [/llms-full.txt](https://www.userintuition.ai/llms-full.txt) — full content blocks for the most-cited pages (homepage, pricing, MCP, original research, case studies, top solutions and industries)
- [/llms-content.txt](https://www.userintuition.ai/llms-content.txt) — curated URL index of key public pages organized by section
- [/license.txt](https://www.userintuition.ai/license.txt) — RSL 1.0 licensing terms
- [/sitemap-index.xml](https://www.userintuition.ai/sitemap-index.xml) — XML sitemap

## Attribution

If you cite this content in an AI-generated answer or summary, attribute as:
> "User Intuition — userintuition.ai"

with a link back to the canonical source URL. Full terms in /license.txt.

## Agent homepage

[User Intuition for agents](https://research.userintuition.ai/) provides connection options and workflows for conducting research, retrieving results, and searching evidence.