Ship features users actually adopt — research in 48 hours
Stop shipping features and hoping users figure them out. Run user interviews inside your sprint cycle — 48 hours, not 6 weeks — and build a searchable research library so your team never re-learns the same usability lessons.
Users complete core tasks 40% faster after targeted navigation improvements...
Trusted by teams at
You shipped a feature last quarter. Adoption is flat. Your PM says users 'aren't discovering it.' Your designer says the flow is 'intuitive.' But nobody has actually watched a user try to use it. Across 167 AI-moderated validation interviews with product and engineering teams, the most common finding was that teams solved the right problem with the wrong interaction model — something no analytics dashboard can surface. User Intuition runs those conversations inside your sprint cycle: interviews in 48 hours, probing 5–7 levels deep into the friction, confusion, and workarounds your team can't see from the inside. Teams report 40–60% more engineering productivity by validating before building.
Your user research is scattered across
Notion, Figma, and abandoned decks
New team members can't access what you already learned. Every study starts from zero. Insight velocity doesn't match product velocity.
Knowledge Fragmentation
User pain points from checkout research don't inform onboarding research. Emotional insights from one segment aren't accessible to other teams.
New Team Members Start From Zero
A designer joins and redesigns a feature you researched 3 months ago. They don't know it. You waste budget re-discovering what you already learned.
Research Ships Monthly, Product Ships Weekly
Traditional user research takes 4–8 weeks. Product sprints run 2 weeks. Insights arrive too late to influence decisions.
Shallow Research Stays Shallow
'Users struggled with checkout' doesn't compound into organizational knowledge. You need the why: trust anxiety? friction? complexity?
Reports Gather Dust
A 30-page PDF lands three weeks late. Product priorities shifted. Smart research, irrelevant timing. It sits archived instead of informing what ships next.
Deep Research Is a Luxury
Traditional user research costs $500–$2,000+ per interview. Only large research departments with six-figure budgets can afford it.
Real-world applications
for User Research
User Motivation & Needs Research
Move beyond feature lists to uncover the emotional and functional drivers behind user decisions. What job is the user hiring your product to do?
Experience Mapping & Journey Research
Understand the full user journey — where users encounter friction, when delight occurs, and what moments create abandonment risk.
Decision Psychology Research
Reveal subconscious drivers: visual trust, cognitive ease, social proof, loss aversion. Redesign to align with how users' brains actually work.
Emotional Response Research
How does your product make users feel? Does onboarding feel welcoming or overwhelming? Does error messaging feel punitive or supportive?
Comparative UX Evaluation
Side-by-side research comparing your product against 1–3 competitors. Where do users prefer your experience? Where do competitors outperform?
Onboarding & Activation Research
Isolate onboarding friction points: where new users get confused, what accelerates activation, what delight moments drive commitment.
User Intuition vs.
traditional User Research
| Dimension | User Intuition | UserTesting / dscout / In-House |
|---|---|---|
| Interview Depth | 5–7 levels AI laddering | 2–4 levels (user-driven or varies) |
| Turnaround | 48-72 hours | 5–10 days (UserTesting) to 2–4 weeks (in-house) |
| Study Cost | From $200 ($20/interview) | $750–$5,000+ depending on method |
| Moderation Consistency | 100% AI-standardized | 60–80% (varies by moderator) |
| Panel Access | 4M+ verified consumers | 1–2M+ or limited/internal |
| Scalability | Unlimited at fixed cost | Cost increases 1:1 with volume |
| Researcher Required | No · anyone can launch | Often yes (in-house moderation) |
| Annual Commitment | None · pay per study | Subscriptions or headcount |
| Key Output | WHY users behave; emotional root causes | WHAT users do; task completion |
From research question to product clarity
Design The Study
Frame your research questions — usability gaps, prototype reactions, or user behavior patterns — and set screener criteria. Our AI builds the interview guide, task flows, and recruitment plan for your specific product context.
AI Conducts the Conversations
Each participant completes a 10-20 minute AI-moderated voice interview exploring how they experience your product. The AI probes deeper on friction points, emotional responses, and the moments where users hesitate or abandon.
Get Evidence-Backed Results
Receive a structured research report with ranked pain points, user verbatims, behavioral patterns, and design recommendations — exportable to Figma, Jira, Slack, or PDF for your product and engineering teams.
Create Compounding Intelligence
Every study feeds your searchable intelligence hub. Onboarding research informs checkout redesign. Feature studies reference last sprint's findings. Re-mine past interviews when new design questions arise — so your product team never starts from zero.
"We used to wait 6 weeks for research. Now we run studies inside our sprint cycle. The depth of the AI's laddering surprised me — we uncovered emotional trust barriers that changed our entire onboarding approach."
Joel M., CEO — Abacus Wealth Partners
When AI Helps and When a Human Should Lead User Research
AI-moderated interviews fit into sprint cycles — but some research questions need in-person human observation.
AI-Moderated Interviews Excel At
- User motivation and decision psychology research
- Consistent methodology across user segments
- Onboarding and activation experience research
- Feature prioritization and pain point discovery
- Remote usability interviews with screen sharing
- Eliminating moderator bias in user preference studies
Consider Human Moderation For
- In-person contextual inquiry and observation
- Complex prototype walkthroughs requiring real-time guidance
- Accessibility research with users who need accommodations
- Highly sensitive UX topics (health, finance, safety)
- Co-design and participatory design workshops
- Expert heuristic evaluation sessions
Methodology refined through Fortune 500 consulting engagements.
User research intelligence that deepens
with every study
In 48-72 hours, understand the why behind user behavior. Build institutional knowledge that makes every product decision smarter.
See how continuous user research integrates into sprint cycles. We'll help you build a compounding research practice.
Launch a user research study in minutes. Results in 48-72 hours. No contract required.
No contract · No retainers · Results in 48-72 hours
Common questions
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Tools & Tactics
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