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Learn from the people that matter for |

Unravel runs deep, adaptive conversations with the people your decisions affect.

Every insight traces back to the exact moment someone said it.

The problem

Teams build on assumptions because learning from real people is broken.

Qualitative research is too slow, too expensive, and requires expertise most teams don’t have. Surveys tell you what. Analytics tell you how many. Neither tells you why. The result: features ship that nobody asked for. Policies land that nobody needs.

0%of products fail because teams didn’t understand customer needs
~0%of development effort goes to features nobody uses
0k+per study from a traditional research agency
Meet Unravel

AI interviews that go deep. Insights you can trace and trust.

Unravel runs adaptive voice conversations with the people your decisions affect and delivers structured findings in hours. Every claim links back to the exact quote.

Accessible tourism
Insight

The accessibility gap is not in the physical experience. It is in the digital booking flow.

My screen reader couldn't parse the room options. We gave up after twenty minutes.

Interview participant
Enterprise operations
Insight

40% of the workday is lost to chasing information instead of creating value.

Chasing colleagues for the right information takes time and energy I cannot put into what I should be doing.

Interview participant
Product research
Insight

Users build manual workarounds for product failures and never report them.

I usually just skip that step and do it manually, because it takes longer to fix the mistakes.

Interview participant
Based on real Unravel studies

Depth, not spoken surveys

Most AI tools ask scripted questions. Unravel adapts, probes, and follows unexpected threads. Researchers call it the closest thing to talking to a real person.

Traceable evidence, not summaries

Other platforms give you themes and dashboards. Unravel gives you evidence. Double-click any finding and hear the participant say it. No hallucinations. No trust gap.

Built for every team, not just product

Product teams, municipalities, HR departments, operational audits. Any team making decisions that affect people. No research expertise required.

SetupResearchResults

Tell us what you need to learn

Have a short briefing conversation with our AI — or fill in your research question directly. We help you frame the right question, whether it is about your product, your policy, your employees, or your users.

Unravel setup options for conversational setup or manual setup

We build your AI interviewer

From your briefing, Unravel generates a complete interview agent: stages, exploration areas, conversation style, and language. You review and customize everything before it goes live.

Unravel agent configuration screen with interview setup fields

Test and refine

Preview the interview yourself. Have a test conversation, adjust the stages, change the tone and depth. Make sure it asks the right questions before participants see it.

Unravel test interview preview screen for refining the participant flow

Share with participants

Send a URL, display a QR code, or share a direct link. Participants join from any device, in their own time, in their own language. No app to install, no account to create.

Unravel sharing options with a direct link and QR code

Real conversations happen

The AI interviewer adapts in real time — listening, following up, going deeper. Five minutes or an hour, depending on the participant. Like a skilled researcher, not a templated survey.

Live Unravel interview interface during an active conversation

Traceable insights in your dashboard

Every conversation comes in with a full transcript and audio. Analysis reports surface patterns across interviews. Every finding traces back to the exact quote and the exact moment someone said it.

Unravel responses dashboard with participant sessions and outcomes
Case studies

Real studies. Real findings. Real impact.

Every insight below comes from an actual Unravel project. Click to explore.

Product

Breeze

The fastest-growing dating app in the Netherlands entered NYC. Traction stalled. They needed to understand why.

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Breeze

Breeze promised direct, intentional dating, but users in New York were not getting enough matches or clarity in the process to trust that promise.

Unravel was embedded directly inside the Breeze app as a pop-up. Users talked to an AI interviewer about their experience from within the product itself.

The core promise was breaking: users liked profiles but got zero feedback. In a city of millions, they still felt they had a tiny dating pool, and the silence after liking someone was experienced as rejection.

I have a limited dating pool, which to me is crazy because I live in New York City.

Breeze user, NYC

Delivered six concrete product interventions to improve match feedback, profile quality, and the sense of control inside the matching experience.

6 prioritized interventions
Operations

Global real estate firmNDA

A billion-euro real estate business needed to understand where AI could unlock capacity across acquisitions, development, asset management, and property management.

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Under NDA

Hines NL needed to see where time and capacity were being lost across four divisions, and where AI could realistically reduce operational drag.

Unravel ran a cross-divisional operational audit across acquisitions, development, asset management, and property management to map how work, information, and reporting moved through the business.

The same frictions kept appearing across teams: people hunted for information that should have been accessible, reformatted the same material for different audiences, and lost time translating global templates into local workflows.

Chasing colleagues for the right information takes a lot of time and energy, which I cannot put into the things I should be lined up for.

Operational audit interviewee

Delivered a four-level AI capability roadmap centered on a shared knowledge foundation, plus immediate tooling opportunities that could reduce retrieval and repetitive work across the business.

Hundreds of recoverable hours identified across multiple divisions
Accessibility

Claire & George

A Swiss foundation helping people with disabilities travel independently needed to understand their guests' digital experience.

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Claire & George

Claire & George needed to know whether their website gave travelers with accessibility needs enough confidence to book independently.

Unravel interviewed previous guests while they explored the website live, capturing both what they understood and what made them hesitate.

Guests generally understood the offer, but the site gave them facts without reassurance. For this audience, trust depends on knowing that the trip will actually work for their specific needs.

I need to feel sure it will work for me before I commit. Just listing the features isn't enough.

Claire & George guest

Produced evidence-backed website priorities showing which content and trust signals were missing, so the team could reduce hesitation and support requests.

Evidence-backed redesign priorities
Our vision

Teams should not have to choose between speed and understanding.

Learning from people — real conversations, not surveys, not assumptions — should be as fast and accessible as any other part of making decisions.

Today, Unravel runs adaptive AI interviews that give teams evidence they can trace and trust. Tomorrow, Unravel becomes a continuous learning system — one that keeps context across studies, suggests what to research next, and integrates into the tools teams already work with.

Unravel founders presenting on stage

Frequently asked questions

We use AI to conduct the interviews at scale and speed, but every finding is traceable to real human evidence. You get the rigor of qualitative research without the timeline or cost of a traditional agency.

Product teams, municipalities, architects, HR teams, operational teams, researchers, and venture capital firms. Anyone making decisions that affect people and who wants evidence instead of assumptions.

From kickoff to delivery, most projects take days rather than weeks. A standard study with 15–20 interviews can be set up in hours and delivers results within days.

Participants receive a simple link. They have a voice conversation with an AI interviewer that adapts in real time — following up, probing, and going deeper based on what they say.

Structured findings with every insight linked to the exact quote and context. Plus evidence-backed recommendations your team can act on immediately.

Project-based. We scope each engagement based on the number of interviews and the complexity of the research question. Self-serve options are also available.

No. We work with teams of all sizes — from two-person startups to multi-division enterprises. The platform scales to fit.

All conversations are processed securely. We can work under NDA and comply with data privacy requirements including GDPR.

See the product

A walkthrough of how Unravel works, from question to insight.

See what your organization already knows.

Start a conversation — we’ll help you find the right question.