Build what customers actually need — validated in 48 hours
Product decisions shouldn't be opinion battles in a conference room. User Intuition gives PMs AI-moderated customer interviews at $20 each — get evidence for roadmap prioritization, stakeholder alignment, and feature validation before engineering writes a single line of code.
Feature request volume doesn't match actual user priority — the #1 requested feature ranks #4 in willingness to pay...
Trusted by teams at
Product teams make roadmap decisions based on sales requests, support tickets, and stakeholder opinions — proxy data that misrepresents what customers actually need. By the time traditional research delivers results, the sprint has shipped. User Intuition gives PMs direct customer evidence in 48 hours at $20 per interview. AI-moderated conversations probe 5-7 levels deep into needs, willingness to pay, and switching triggers. Use it to validate features before build, align stakeholders with customer evidence instead of opinions, run continuous discovery that fits sprint cycles, and reduce the 30-50% of engineering effort typically wasted on features customers don't value.
You're building features customers
requested — but don't actually need
Feature requests, support tickets, and stakeholder opinions are proxies for customer needs — and they consistently mislead product decisions.
Opinion-Driven Roadmaps
The loudest executive or biggest customer shapes the roadmap. Without systematic customer evidence, product decisions are really opinion battles disguised as strategy.
Proxy Data Replaces Real Voice
You rely on support tickets, NPS scores, and sales call notes — all filtered through someone else's interpretation. The actual customer voice is missing from your decision process.
Research Blocks Sprint Cycles
Traditional research takes 6-12 weeks. Your sprints are 2 weeks. You either ship without evidence or delay while waiting for research that arrives after the decision window closes.
No Continuous Discovery Practice
Discovery happens in bursts — a big study once a quarter, then months of building on assumptions. There's no systematic way to stay connected to customer needs week over week.
Feature Factory Without Feedback Loops
Features ship, metrics move (or don't), and nobody interviews customers to understand why. Without post-launch validation, you can't tell if you solved the right problem.
Stakeholder Alignment Without Evidence
You spend weeks aligning executives on prioritization. Without customer evidence, every stakeholder anchors on their own experience and the debate never resolves on merit.
How Product Teams use
User Intuition
Product Innovation
Validate new product concepts and feature ideas with target users before engineering invests. Test willingness to pay, switching triggers, and must-have vs. nice-to-have.
Win-Loss Analysis
Interview won and lost deals to understand the real decision drivers. Discover why prospects chose you — or a competitor — beyond what sales reported.
UX Research
Understand user motivations, mental models, and friction points through depth interviews that go beyond task completion metrics.
Concept Testing
Test product concepts, messaging, and positioning with 50-300 users in 48-72 hours. Iterate through multiple rounds before committing to build.
Churn Analysis
Interview churned customers to understand the real reasons they left — not the exit survey checkboxes. Identify patterns that predict and prevent future churn.
NPS & CSAT Deep Dives
Go beyond satisfaction scores to understand the motivations behind ratings. Turn detractors into a product improvement roadmap with evidence-traced insights.
User Intuition vs.
traditional Product Teams tools
| Dimension | User Intuition | Traditional Product Research |
|---|---|---|
| Time to Evidence | 48-72 hours from question to insight | 6-12 weeks via agencies or internal research teams |
| Cost Per Study | From $200 ($20/interview) | $15K-$75K per research project |
| Interview Depth | 30+ min · 5-7 laddering levels | 5-min surveys or biased internal interviews |
| Sample Size | 50-300+ depth interviews per study | 5-12 user interviews or 500+ shallow surveys |
| Sprint Compatibility | Same sprint — launch and receive within 2 weeks | Research finishes after the sprint ships |
| Stakeholder Access | Self-serve — PMs launch directly | Requires research team, RFPs, vendor management |
| Knowledge Retention | Permanent searchable intelligence hub | Insights live in Confluence pages nobody revisits |
| Continuous Discovery | Weekly cadence possible at $20/interview | Quarterly studies at best due to cost and timeline |
From product question to customer evidence
Frame Your Product Question
Define what you need to learn — feature validation, prioritization evidence, churn drivers, competitive switching triggers. Our AI builds the interview guide and recruits participants from a 4M+ panel.
AI Interviews Your Customers
Each participant completes a 10-20 minute AI-moderated voice interview. The AI probes 5-7 levels deep into needs, workarounds, willingness to pay, and decision drivers — the evidence PMs actually need.
Evidence-Backed Findings Delivered
Receive structured insights with customer segments, priority rankings, verbatim quotes, and clear product implications. Every finding traces back to actual customer conversations for stakeholder credibility.
Continuous Discovery Compounds
Every study feeds a searchable customer intelligence hub. Track how needs evolve, compare segments over time, and give every PM on the team access to the full evidence base.
"User Intuition revealed why customers actually chose us — and it wasn't what our sales team reported. The depth of understanding from hundreds of AI-moderated interviews transformed how we prioritize our roadmap."
Eric O., COO, RudderStack
When AI Helps and When a Human Should Lead Product Research
AI-moderated interviews deliver fast, unbiased customer evidence — but some product research scenarios benefit from human facilitation.
AI-Moderated Interviews Excel At
- Feature validation and prioritization research
- Win-loss and competitive switching analysis
- Churn diagnosis and retention research
- Continuous discovery at sprint-cycle speed
- Cross-segment need comparison with consistent methodology
- Post-launch impact validation at scale
Consider Human Moderation For
- Executive customer advisory board sessions
- Complex enterprise buying committee interviews
- Live prototype co-creation and iteration
- Deeply technical product feedback requiring domain expertise
- Strategic partnership and ecosystem research
- Sensitive topics like pricing negotiation dynamics
Methodology refined through Fortune 500 consulting engagements.
Stop debating the roadmap —
let customers decide
In 48-72 hours, get customer evidence for your toughest product decisions. Every study builds a searchable knowledge base the entire team can access.
See how product teams embed continuous customer evidence into sprint cycles. We'll design a discovery cadence for your team.
Launch a product research study in 10 minutes. Customer evidence in 48-72 hours. No research team required.
No contract · No retainers · Results in 48-72 hours
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