Software Research That Compounds
Get enterprise-grade qualitative research in 72 hours. Run 30+ minute AI-moderated interviews that go 5–7 levels deep into user motivation. Build cumulative user understanding that actually compounds with every feature test, churn interview, and usability study.
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What User Intuition Does for Software Teams
User Intuition is an AI customer research platform for SaaS teams that runs research-quality interviews to explain why activation fails, features stall, and customers churn. It synthesizes conversations into themes you can act on within days—so product, UX, and insights leaders ship with confidence.
Why do power users churn in the first 90 days?
Pulse interviews with churned and at-risk customers surface whether the problem is onboarding, feature gaps, pricing friction, support responsiveness, or competitive displacement. Patterns emerge by Monday; the product team ships a response by Friday.
Which feature should we build next—and what's the evidence?
Test roadmap assumptions with 5–6 targeted interviews before locking engineering capacity. Go deep on how users would actually use the feature, what workarounds they currently use, and what would make it worth upgrading.
What workarounds are users building that we should productize?
30+ minute interviews with power users surface the tools, hacks, and manual processes they've built around your product's limitations. These workarounds are your best feature candidates.
Why Software Research Breaks at Decision Speed
Product teams running SaaS or B2C tech know the research pattern: sprint cycles compress, you need insights to feature-prioritize and understand churn, but the infrastructure to capture and retain those insights systematically doesn't exist.
Research Recruitment Isn't Built for B2B SaaS
Most teams need to interview actual paying customers, power users, or segment-specific personas. Recruiting takes weeks. DIY recruiting consumes PM hours. Survey platforms pool cheap respondents, not your customer profile.
Users Can't Articulate Why They Use Your Product
A user might say they like your dashboard but can't explain why it reduces workload 40% vs. competitors. Most research stops at the first answer. Your team is left guessing at the real motivation.
Market Velocity Means Research Can't Keep Up
New competitors launch. Feature expectations shift monthly. Your research findings from Q3 hit the report in Q4 and are outdated by January. The speed gap leaks millions in opportunity cost.
Institutional Amnesia Starts on Day One
Every feature launches with learning that evaporates. A PM joins six months later and rebuilds what was learned about notification friction or onboarding drop-off. No cumulative knowledge base. Each sprint restarts from scratch.
You Can't Trace Feature Decisions Back to Evidence
Fast-moving teams ship first, measure second. No one can trace a feature back to the research that informed it. The connection between research and roadmap dissolves.
Competitors Are Running Research You Don't See
While you're building without systematic user input, competitors are compounding competitive insights through weekly surveys, user communities, and win-loss analyses.
Measurable impact
What matters most to teams after switching to AI-moderated research.
Compress from 2–3 weeks to 72 hours. Product decisions happen in the sprint where research launches, not three sprints later.
Features backed by 8–12 user interviews instead of assumptions. Designs validated with real users rarely need mid-build pivots.
Onboarding research surfaces exact friction points causing drop-off. Teams that implement findings see measurable activation improvements in the next cohort.
Pulse interviews surface churn patterns weeks before they appear in NPS or usage dashboards. Stop the problem before it becomes a metric.
How software & saas research teams use User Intuition
Validate Product-Market Fit Before Launch
Run 8–12 rapid interviews with target customers before committing to a quarter-long build. Use laddering to uncover whether the core job-to-be-done maps to your solution.
Reduce Churn Through Root-Cause Research
Pulse interviews with churned and at-risk customers in 48 hours surface whether the problem is onboarding, feature gaps, pricing friction, or competitive displacement.
Test Feature Prioritization Every Sprint
Test roadmap assumptions with 5–6 targeted interviews before locking engineering capacity. Go deep on actual usage, current workarounds, and what would make it worth upgrading.
Win Competitive Displacement (Win-Loss)
Surface what actually drove the purchase decision for recent buyers and lost customers. Reveal whether your feature advantages matter and where product friction costs you deals.
Segment Users by Motivation, Not Demographics
Interview across power users, casual adopters, integrators, and end-users. Understand distinct jobs-to-be-done and churn patterns. Store motivation maps in Intelligence Hub.
Usability & Prototype Testing
Test Figma prototypes and staging environments with real users before engineering commits. Discover workarounds and mental models behind interface interactions.
Get started in minutes
Design Your Research
Define your question and target segment. User Intuition's 4M+ panel covers 50+ industries and roles: CTOs, product managers, operations leaders, end-users in your vertical.
Launch Within a Day
AI moderates 30+ minute interviews with 5–7 levels of laddering. Interviews happen in parallel. By day two, transcripts stream in. By day three, patterns emerge.
Search and Act
Findings land in Intelligence Hub—searchable, tagged by theme, participant, date, and product initiative. Your roadmap conversation shifts from what to build to what 40+ users told us.
Built for speed and depth
Speed That Matches Sprint Cycles
72-hour turnaround—fast enough to inform this sprint, not next quarter's retrospective. Traditional research takes eight weeks. By the time results land, engineering has already started.
Depth Beyond Surface-Level Surveys
30+ minute interviews with AI-guided laddering uncover emotional drivers, workarounds, mental models, and unmet needs hiding beneath surface-level yes/no responses.
Persistence Through Intelligence Hub
Every interview is searchable, taggable, and cross-referenceable. Six months later, a new PM needs to understand onboarding—they search and find seven related interviews spanning your product journey.
Research Integrity
Blind AI moderation recruits from your defined segment—paying customers, high-LTV users, competitive-engaged segments. Honest feedback from the right people, not the loudest voices.
When Alternatives Still Make Sense
If you need quantitative validation across 1,000+ users or purely UI micro-interaction testing, complement with survey tools or recorded sessions. For product decisions, roadmap, and churn—User Intuition outpaces the alternatives.
How it compares
- UserTesting/Maze: shows what users do, not why. Generic panel, 1–2 weeks
- In-app surveys: fast but shallow, biased toward casual users, no depth
- DIY PM interviews: leading questions, HiPPO bias, no institutional memory
- User Intuition: 72 hours, 5–7 levels deep, searchable Intelligence Hub that compounds
"By month three, our Intelligence Hub contained 30+ interviews. When a PM considered a new notification strategy, they searched and found patterns across 8 interviews spanning three product initiatives. Research became an institutional asset."
VP of Product — B2B SaaS Company
When AI Helps and When a Human Should Lead Software Research
AI-moderated interviews fit into sprint cycles — but some product research needs human facilitation.
AI-Moderated Interviews Excel At
- User motivation and decision psychology research
- Consistent methodology across user segments and personas
- Feature prioritization and pain point discovery at scale
- Win-loss and churn analysis with buyer honesty
- Remote prototype feedback via screen sharing
- 24/7 scheduling across global user bases
Consider Human Moderation For
- Complex prototype walkthroughs requiring real-time guidance
- Highly exploratory discovery research with undefined scope
- Accessibility research with users who need accommodations
- Executive buyer interviews requiring relationship trust
- Co-design and participatory design workshops
- Deep domain expertise in specialized verticals
Methodology refined through Fortune 500 consulting engagements.
Run your first SaaS user interview study this week
Whether you're validating product-market fit, diagnosing churn, or testing feature assumptions—get research-quality answers in 72 hours.
Launch your first study in minutes. Define your question, target your segment, and see results in 72 hours.
No sales deck. We'll map User Intuition to your next product decision, churn investigation, or competitive question.
See what a software research study looks like inside the Intelligence Hub. Real example, anonymized data.
No contract · Per-interview pricing · Results in 72 hours