Voice of Customer Software for CX Teams: Beyond the Score
VoC scores don't tell you what to do next. AI-moderated interviews probe 5-7 levels deep into the reasons behind every NPS, CSAT, and CES rating — act on evidence, not assumptions.
From individual interviews to a clearer picture.
Detractors cite onboarding friction as #1 churn driver — not price as assumed...
Voice of customer software is the category of tools that captures and analyzes customer feedback across surveys, support, and ratings — most platforms stop at the score, never reaching the experience behind it. User Intuition is voice of customer software powered by AI-moderated interviews, probing 5-7 levels deep into the touchpoints, emotions, and expectations behind every NPS, CSAT, and CES rating. Across 30,000+ interviews on the platform, User Intuition has revealed the story behind the score, surfacing the experience drivers a single click on a survey scale will never capture. Those drivers only surface when score-givers can describe the experience in their own words. A User Intuition CX study starts at $150, returns score-driver evidence as participants respond, and is backed by 4.9/5 on G2 and 5/5 on Capterra. The output is practical: detractor-recovery hooks, promoter-advocacy plays, journey-friction signals, and program-design evidence for CX leaders, customer success teams, and operations teams turning voice-of-customer into action.
What is User Intuition as voice of customer software?
User Intuition is voice of customer software that goes beyond the score: AI-moderated 20–30 minute interviews ladder 5–7 levels into the touchpoints, emotions and expectations behind every NPS, CSAT and CES rating. Interview your own customers from your CRM in parallel as they respond, or recruit 200+ panel interviews in 24 hours from a 4M+ vetted panel across 58 countries, with every reason linked to its recording.
Which CX teams use User Intuition?
Research agencies running CX and voice-of-customer programs, and in-house CX, customer success and operations teams who need the reasons behind their scores.
How does User Intuition work for voice of customer programs?
Invite detractors, promoters or recent customers with your guide. The AI moderator interviews them in voice, video or chat, and every finding links back to its recording.
What do CX teams get from each study?
Score drivers by segment, journey-friction themes with verbatims, detractor-recovery and promoter-advocacy signals, an editable presentation, and every transcript and recording.
Why does voice of customer software stop at the score?
Dashboards show NPS and CSAT moving but rarely say why, or what to fix. Here's what CX teams tell us, and how User Intuition closes each gap.
- Sound familiar?
NPS dropped again. I can't tell which touchpoint broke or what would bring people back.
The story behind every NPS, CSAT and CES score
Interviews ladder 5–7 levels into the experience behind each rating: which touchpoint failed, what the customer expected, and what would win them back.
- Sound familiar?
We get 200 new detractors a month. My team can call ten a week.
Follow up with every detractor
Invite every detractor, not just the ten your team can call. AI interviews run around the clock with no cap on parallel conversations, and every conversation gets the same non-leading probing, including the sensitive ones.
- Sound familiar?
Our post-interaction surveys barely get answered, and the answers we get skew to the extremes.
Depth from the customers you choose
Invite specific segments from your CRM or recruit from the 4M+ vetted panel, and hear the full experience in 20–30 minutes instead of one click.
- Sound familiar?
Our journey map came out of a workshop. No customer was in the room.
Journey maps built from customer interviews
Interview customers at each stage and map friction from their own accounts, not the org chart.
- Sound familiar?
We measure satisfaction at checkout and know nothing about discovery, onboarding or renewal.
Voice of customer at every touchpoint
Run studies across the full lifecycle, from discovery and onboarding to billing, support and renewal, continuously and in 80+ languages.
- Sound familiar?
Every team in the room has a theory about why our scores moved. None of them starts from what customers said.
One searchable view of why customers feel what they feel
Every interview lands in a searchable hub, so CX, product and success teams query the same evidence across studies, each answer cited to the interview behind it.
From CX score to customer understanding
Define What You Need to Understand
Select the customer segment — detractors, churned users, recent purchasers — and define the touchpoint or experience you want to investigate. Bring your own guide, or our AI builds the interview guide to probe the drivers behind their behavior.
AI Interviews Your Customers
Each customer completes a 20–30 minute AI-moderated voice interview. The AI probes 5-7 levels deep — from initial reaction to underlying need — surfacing the motivations that surveys miss entirely.
Get Actionable CX Intelligence
Receive structured analysis with segment breakdowns, root cause mapping, and prioritized recommendations. Know exactly which touchpoints to fix and why — backed by customer verbatims your leadership team can hear.
Build Compounding Customer Knowledge
Every interview feeds a searchable intelligence hub. Track how customer sentiment evolves over time. Surface patterns across segments and touchpoints. New CX team members onboard by querying years of customer evidence.
How CX Teams use
User Intuition
NPS & CSAT Deep-Dive Research
Go beyond the score. Interview detractors, passives, and promoters to understand the reasons behind their ratings at scale.
Churn Analysis
Interview churned customers within days of cancellation. Understand the real reasons — not the dropdown menu excuse — they left.
Win-Loss Analysis
Understand why prospects chose you or a competitor. Surface the decision drivers that CRM data never captures.
Consumer Insights
Map unmet needs, purchase motivations, and brand perception across customer segments to inform CX strategy.
UX Research
Test digital experiences, app flows, and self-service tools with real customers. Identify friction points before they become churn drivers.
Brand Health Tracking
Monitor brand perception, trust, and emotional connection continuously. Detect shifts before they show up in NPS.
Why researchers choose 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, your own methodology and evidence you 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.
Senior-researcher depth
The moderator ladders 5–7 levels deep by default, using Reynolds and Gutman's laddering method, so you hear the reasons behind the reasons.
Your methodology, run as written
Bring your discussion guide and frameworks. Required questions stay pinned in order, word for word if you need it, study rules keep the moderator inside your compliance lines, screeners and hard quotas fill every cell to plan, and you decide how far it probes.
Every finding traces to its source
Click any theme through to the verbatim, the transcript and the recording. Every claim in the deliverable traces to what a participant said.
Respondents you can stand behind
A 4M+ vetted panel across 58 countries: our team reviews a video identity interview with every panelist, every voice interview is screened for AI-generated or coached answers, and panelists are tracked across studies. Or bring your own customers, panel provider or survey respondents. Either way, you can watch any interview live.
Deliverables ready to present
Themes, verbatims and an editable presentation for every study, plus every transcript, recording and screener answer to export into your own tools. Put your own brand on them when you need to.
Survey scale, quality-only billing
200+ panel interviews in 24 hours, with no cap on parallel conversations. Each one is scored on length, depth and coverage, and you pay only for those that pass.
- Isolated workspaces
- Confidential stimulus
- Never used to train AI models
- GDPR & CCPA compliant
- SOC 2 Type II compliant
- Security →
Every interview is checked before you pay for it
Interview checks run on every study, including studies with your own customers. Panel checks apply on top whenever we recruit for you.
Every interview
- Laddering 5–7 levels deep, which is hard to fake
- Watch and steer any interview live
- AI checks on every voice and video interview
- Scored on length, depth and coverage; Poor or Fair is never billed
- Our team listens to every panelist call, and a sample of yours
- Every recording and transcript yours to review and reject
How Does User Intuition Compare to NPS Surveys, CS Follow-Up Calls, and Focus Groups for CX Teams?
| Dimension | User Intuition | NPS/CSAT Surveys (Medallia / Qualtrics) | CS Team Follow-Up Calls | Focus Groups |
|---|---|---|---|---|
| Depth of Insight | 20–30 min · 5-7 laddering levels per customer | 1-2 min surveys, shallow open-ends | Unstructured, varies by agent skill | 60-min sessions prone to groupthink |
| Time to Insights | In parallel from launch to root cause analysis | Real-time scores, quarterly analysis cycles | Ongoing but no structured synthesis | 6–12 weeks including recruit and analysis |
| Cost per Study | From $150 ($30/interview) | Annual platform license, shallow per-response depth | Hidden cost in CS team time diverted from support | $15K–$75K per project |
| Scale | Every detractor interviewed at depth | High volume, low depth per response | 10-20 callbacks per week max | 8-30 participants across groups |
| Response Rate | 30-45% completion rate | 5-12% survey response rate | Low — customers avoid callbacks | Recruited panel, not representative |
| Journey Coverage | Research at any touchpoint, any time | Post-interaction surveys only | Post-support interactions only | Single topic per session |
| Bias Control | Consistent AI moderation, non-leading methodology | Question design bias, response fatigue | Agent rapport bias, inconsistent probing | Moderator bias, dominant voices skew results |
| Knowledge Retention | Searchable Intelligence Hub across all CX studies | Dashboard scores without context | Notes in CRM, no cross-study search | Quarterly decks buried in shared drives |
Hear the interviews. See the presentation.
Explore calls and a sample presentation from our 43-participant Walmart shopper study.
Grocery top-up, supercenter
“Basically, because we use those things all a lot We try to always have you know, certain things in the house at all times because we use them very frequently. So we don't like to run out of them.”
What was making you want those specific things right then? Beyond just being out? Was it about being able to make certain meals or something else?
Basically, because we use those things all a lot We try to always have you know, certain things in the house at all times because we use them very frequently. So we don't like to run out of them.
Phone replacement, unplanned and urgent
“It made me feel so safe so relieved, and it brightened my day.”
Sounds like you knew exactly what you want. A Google Pixel 6 Pro. What was it about that phone that made it the right choice for you, especially in that moment?
Yeah. Thank you. So the the the phone had a lot of features. I I heard friends were talking about this phone. So in terms of the camera setting, it can take pictures and refine them into good quality. It has its own internal scanner, like I don't need to download other apps to scan to do scans. And of course, it has high quality for recording, which has been helping me in my meetings. In the office. So it's really amazing, and I love festival the quality of the phone in terms of the camera, because the previous phone I had was a Samsung. And the quality was really frustrating. And it had it has a very good processor speed as well. It's very fast. It's very efficient, and I like it. I like it. I'm enjoying the features.
Sample presentation
Preview three slides, or download the full 15-slide presentation.
Bring your own sample
$30 per quality voice interview
Use our 4M+ vetted panel
$60 per quality voice interview
What researchers say
"We're more nimble now than we've ever been. When something shifts in the market or we get unexpected consumer feedback, we can react in days instead of waiting for the next scheduled research window. The whole commercial team has a place to go see how we're tracking, grounded in real consumer voice."
Eric O., Chief Commercial Officer, Turning Point Brands
Verified review on Capterra "Before, a number would drop and we'd all sit in a room guessing why. Now I can actually go ask the people it happened to and come back with what they said. The best part is it ends the argument: Product and Success and Marketing are all looking at the same quotes instead of each other's theories about what the NPS dip means."
Common questions
Turn CX scores into
CX intelligence that compounds
Understand why customers feel the way they do. Every study adds to a searchable knowledge base your CX team can query anytime.
Start with an editable research brief. Review your plan and discussion guide before inviting participants.
See how CX teams use AI interviews to go beyond NPS. We'll design a pilot around your most pressing CX question.
Your methodology · Your sample · No monthly fee on Starter
Go deeper on CX Teams
Pillar Guides
Deep-dive guides covering this topic from strategy to execution.
Tools & Tactics
Practical frameworks and platform-specific guides for teams ready to act.
Reference Guides
Reference deep-dives on methodology, best practices, and applied research.
Alternatives & Comparisons
Side-by-side comparisons with competing platforms and approaches.
Related Solutions
Complementary research use cases that pair with this topic.
Industries
See how teams in specific verticals apply this research.
Platform Capabilities
The platform features that power this type of research.
Last updated