Video Interviews

Video Customer Interviews with Screen Sharing for Concept Testing

Watch what customers actually do, not just what they say. Live websites, Figma prototypes, design mockups - tested by hundreds of real customers in 24-48 hours.

200+ video interviews in 24-48 hours
5-7 layer laddering depth on every session
Five-layer fraud and identity validation
Researcher using User Intuition AI-moderated research platform
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AI Interviewer

Tell me about the moment you decided to switch providers.

Recording 11:42
AI Insight

Trust and transparency are the #1 decision drivers across all segments.

😊 Positive 94%
54 completed
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Trusted by teams at

Capital One
RudderStack
Nivella Health
Turning Point Brands
Procter & Gamble
Microsoft
TL;DR

An AI video customer interview is software that runs a face-to-face moderated conversation with a customer over video, with optional screen sharing so they can react to a website, prototype, or design mockup in real time. User Intuition runs these video sessions on the same adaptive AI moderator that powers our voice and chat interviews, applying 5-7 layers of laddering depth to every conversation. Hundreds of video and screen-share interviews run concurrently on the platform, 24/7, with no scheduler and no human moderator burning hours per session. Studies start at $200, return results in 24-48 hours, and carry 5/5 ratings on G2 and Capterra. The output is practical: replayable video clips synced to verbatim transcripts, scroll and click activity captured against on-screen behavior, and themed findings that product, design, and research teams use to validate concepts and prototypes before launch.

The Problem

Why Voice-Only AI and Traditional Video Both Fall Short

Teams running concept tests, prototype walkthroughs, and design validation hit the same four walls. The result: research that sounds reasonable but is fundamentally redundant - or doesn't scale.

1

Voice-only AI misses what participants actually DO

Voice-only AI interviews capture what gets said, not what gets read, scrolled past, or clicked. For concept testing or prototype work, what someone does on screen is the data - and voice-only AI tools structurally cannot see it.

2

Participants fake engagement with the prototype

They open the page, pause at the top, never actually read it, then answer the questions. The data sounds reasonable but is fundamentally redundant. Without screen evidence and depth probing, you can't tell who actually engaged.

3

Concept testing requires visuals - surveys can't probe and humans can't scale

Figma mockups, live websites, prototype URLs all require visuals. Surveys can show an image but can't probe a reaction. Human-moderated Zoom + screen-share has the right depth but caps at 10-20 sessions per week.

4

Traditional moderated video doesn't scale

Zoom plus recruiter scheduling plus a human moderator per session caps weekly throughput at 10-20 and burns researcher hours. A 100-session study turns into a 4-week project.

The Fix

How AI Video Interviews Solve Each One

What matters most to teams after switching to AI-moderated research.

Captured together every session
Video + Screen

Face video, cursor activity, and on-screen behavior captured together and tied to the verbatim transcript. Replayable clip per interview - exactly what they did, exactly when.

Laddering depth on every interview
5-7 layers

Same McKinsey 'five whys' methodology used in voice and chat. Surface fakery breaks at level 4-5 - you cannot fake depth without having interacted with the demo.

Concurrent video sessions, 24/7
Hundreds

No scheduling, no per-moderator throughput cap. 100 video + screen-share interviews complete in 24-48 hours instead of 4 weeks.

Fraud and identity validation
Five-layer

Device fingerprint, panel verification, behavioral signals, and AI quality scoring filter low-quality respondents before they reach your transcript.

Definition

What Is an AI Video Customer Interview?

An AI video customer interview is a face-to-face one-on-one research session conducted by an AI moderator over video, with optional screen sharing so the customer can react to a live URL, Figma prototype, or design mockup in real time. The AI applies the same 5-7 level laddering methodology used in voice and chat interviews, then ties what the participant says to what they actually did on screen.

User Intuition's video interviews capture three layers of evidence in a single session: face video (expression and reaction), screen recording (scroll depth, hesitation points, clicks, ignored elements), and a verbatim transcript with the AI moderator's structured probing. Every clip is replayable and tied back to the moment in the conversation it happened.

The participant interacts with a live URL, a Figma prototype link, or any web-accessible asset directly inside the interview. The AI moderator probes what they're looking at, why they paused, what confused them, and what they expected to find. Sessions run asynchronously - hundreds at a time - so a 100-interview prototype study completes in 24-48 hours instead of the four weeks a Zoom-plus-recruiter pipeline takes. For methodology fundamentals across voice, chat, and video, see AI-moderated interviews.

Quick Answers

Key Questions About AI Video Customer Interviews

AI video customer interviews are research sessions where an AI moderator runs a video call with a customer and screen-shares a live URL, Figma file, or design mockup while probing 5-7 levels deep. User Intuition runs hundreds concurrently from a 4M+ pre-vetted panel, with five-layer fraud and identity validation and replayable clips. Studies start at $200; video uses 2 credits per interview ($40 each on the Pro plan, vs $20 for audio).

What can I test with screen sharing?

Live website URLs, Figma prototype links, hosted design mockups, JPEG/PNG concept boards, marketing landing pages, app prototypes - any web-accessible asset. The participant interacts with the asset while the AI probes their reactions in real time.

How fast can I run 100 video interviews?

There's no rate limit on User Intuition's end. Sessions run concurrently and asynchronously, 24/7 — 100, 500, or 1,000 video interviews all kick off the moment the study launches. The 24-48 hour benchmark is participant completion time, not a throughput cap. A traditional Zoom + recruiter + human moderator pipeline caps at roughly 10-20 sessions per week.

How do you stop participants from faking engagement with the prototype?

Two layers. Screen recording captures real on-page behavior - scroll depth, where they paused, what they clicked, what they ignored. The AI moderator runs 5-7 level laddering; surface fakery breaks at level 4-5 because participants can't fake depth without having actually interacted with the asset.

Is this for customer research or job-candidate interviews?

Customer research only. User Intuition is for testing products, prototypes, concepts, and websites with real customers. We are not a hiring or candidate-screening platform like HireVue.

Key Capabilities

Built for Video + Screen From the Ground Up

Everything required to run prototype, concept, and live-URL testing at hundreds-per-week throughput - without scheduling, without a researcher per session.

Synchronized Video + Screen Capture

Face video, cursor, and on-page activity captured in one synchronized recording. Every replayable moment is tied to the verbatim transcript with timestamp.

See what they did, hear what they said, and read why - in one clip

Live URL and Figma Prototype Testing

Drop in any web-accessible asset - production URL, staging link, Figma prototype, hosted mockup. Participant interacts inside the interview while the AI moderator probes.

Test real assets at real scale, no developer or designer integration work

5-7 Level Laddering on Every Session

Same adaptive AI moderator that powers User Intuition's voice and chat interviews. McKinsey 'five whys' methodology applied to every session; depth never varies by moderator fatigue.

Surface fakery breaks at level 4-5 - quality you can verify

Five-Layer Fraud and Identity Validation

Device fingerprint, panel verification, behavioral signals, transcript-quality AI scoring, and pay-only-for-high-quality commitment filter low-quality respondents before they reach your data.

The data you analyze is the data that actually matters

Customer Intelligence Hub Integration

Every video interview is searchable in the Customer Intelligence Hub alongside voice and chat sessions. Query for specific reactions, surface cross-study patterns, build institutional UX memory.

Concept-test evidence that compounds with every study

Async by Default, Any Device

Participants join from any device with a browser, camera, and screen-share permission. Sessions run 24/7 across timezones - no calendar coordination, no human moderator availability constraint.

100 sessions in 24-48 hours, not 4 weeks
How It Works

From Prototype to Insights in 6 Steps

Drop in your asset, recruit, and let the AI run the sessions.

1
5-10 min

Design Your Study + Add Screen-Share Asset

Define research objectives, target audience, and discussion guide. Paste a live URL, a Figma prototype link, or any web-accessible asset — it loads inside the interview when each participant joins. The AI generates the discussion guide and screening logic from your inputs.

2
24-48 hrs

AI Conducts Concurrent Video + Screen-Share Sessions

Source participants from User Intuition's 4M+ pre-vetted global panel — or import your own list. Hundreds of video + screen-share interviews run in parallel, 24/7. The AI probes 5-7 levels deep on what participants do on screen — pauses, scrolls, clicks, hesitations — and the participant's words, captured together with synchronized video and verbatim transcripts.

3
Seconds

Replayable Clips + Verbatim-Linked Insights

Receive a structured report with quantified themes, replayable video clips, and direct verbatim citations. Every claim ties back to a moment in a real conversation — clickable, evidence-traced, ready to share with product, design, and leadership teams.

4
Ongoing

Compounding Customer Intelligence

Every video study feeds the searchable Customer Intelligence Hub. Pay only for high-quality conversations — quality-screened sessions count toward your usage. Query across studies, track design patterns over time, and turn one-off prototype tests into a longitudinal program.

Compare

User Intuition vs. Conveo vs. Outset vs. Voxpopme

Dimension User Intuition Conveo Outset / Voxpopme
Video + screen-share modality Yes on every Pro-tier interview Yes, with Figma-native integration Generic screen sharing
Laddering depth 5-7 levels applied every interview Probing claimed; depth varies Probing claimed; depth shallower in practice
Identity validation Five-layer fingerprint + panel + behavioral + AI quality Standard panel verification Standard panel verification
Pay-for-quality commitment Pay only for high-quality conversations Per-interview pricing, no quality refund Per-interview pricing, no quality refund
Figma-native integration Screen-share via URL (any Figma file works) Native Figma plugin Screen-share via URL
Pricing transparency $20 Pro audio rate, $40 video, public pricing page Quote-based Quote-based
Concurrent throughput Hundreds in 24-48 hours Tens to low hundreds Tens
Methodology & Trust

How Does the AI Moderator Stay Deep on Video + Screen?

The moderator is the same adaptive AI that powers voice and chat - it doesn't change methodology by modality. Screen + video adds two evidence layers: real on-page behavior and face-level reaction, both tied to verbatim probing.

What the AI Moderator Does

  • Runs 5-7 level laddering on every interview
  • Probes the moment of hesitation, not the question after
  • Detects when scroll behavior contradicts spoken response
  • Adjusts depth by participant value and study hypotheses
  • Captures cursor + face + voice in one synchronized record
  • Never fatigues, never leads, never skips a probe

What You Get Back

  • Replayable video clip per interview, transcript-synced
  • Quantified themes with verbatim evidence per claim
  • Scroll-depth and click-pattern data per asset
  • Cross-study pattern surfacing in the Intelligence Hub
  • 5/5 G2 and Capterra-verified delivery quality
  • Pay-only-for-high-quality conversation guarantee

Methodology refined through Fortune 500 research engagements. Same depth on every modality.

"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."

Eric O., COO, RudderStack

FAQs

Frequently Asked Questions

An AI-moderated video customer interview is software that runs a face-to-face research session with a customer over video while an AI moderator probes their reactions, with optional screen sharing so they can interact with a website, prototype, or design mockup live. User Intuition's video interviews capture face video, screen recording, and verbatim transcript together, all tied back to the moment each insight happened.
You build the study, paste in a live URL or Figma prototype link, and recruit from a 4M+ panel or import your own customer list. Hundreds of video + screen-share sessions run concurrently, 24/7. The AI moderator runs 5-7 level laddering on each one. You get replayable clips synced to verbatim transcripts and quantified themes within 24-48 hours.
Yes. Drop in a production URL, staging link, or any web-accessible page. The participant loads the URL inside the interview while the AI moderator probes their reactions, captures scroll behavior, and asks why they paused or clicked where they did. No developer integration required.
/platform/ai-moderated-interviews/ is the methodology overview - what AI-moderated research is, how the adaptive moderator works across voice, chat, and video. This page goes deep on the video + screen-share modality specifically: prototype testing, live URL feedback, concept testing with visuals, async UX walkthroughs.
HireVue and similar tools are for screening job candidates. User Intuition runs video interviews with customers for product, design, and market research - testing prototypes, websites, concepts, and design mockups. We are not a hiring or candidate-evaluation platform.
Yes, by sharing the Figma prototype URL inside the interview. The participant interacts with the Figma file via screen share while the AI probes their experience. We do not have a native Figma plugin (Conveo does), but URL-based screen share works with any Figma file or any other web-accessible asset.
Yes. Face video, cursor movement, scroll behavior, clicks, and on-page activity are all captured together and synchronized with the verbatim transcript. Every replayable clip shows exactly what the participant did and exactly what they said about it at that moment.
There's no rate limit on our end — sessions run concurrently and asynchronously, 24/7, regardless of sample size. The typical 24-48 hour benchmark from study launch to full results is participant completion time, not a moderator-throughput cap. A traditional Zoom + recruiter + human-moderator pipeline caps at roughly 10-20 sessions per week, so the same 100-session study takes about 4 weeks the old way.
Two layers. First, screen recording captures real on-page behavior - scroll depth, where they paused, what they clicked, what they ignored. Second, the AI runs 5-7 level laddering; surface fakery breaks at level 4-5 because you cannot fake depth on a prototype you didn't actually engage with. Five-layer fraud and identity validation runs before recruitment, too.
Studies start at $200. Video interviews use 2 credits each, audio uses 1 credit, chat uses 0.5. On the Pro plan ($999/mo, $20/credit), that's $40 per video interview, $20 audio, $10 chat. Pro includes 50 credits/month — 25 video interviews or 50 audio. Starter is $0/mo with 3 free interviews on signup, no credit card. Full pricing at /pricing/.
Yes - that is the core of the platform. The AI moderator runs the entire session: greeting, screen-share setup, structured probing, follow-ups, wrap. No human researcher joins live. You receive results once participants complete; you do not schedule or attend any sessions.
Any modern device with a browser, camera, microphone, and screen-share capability. Desktop, laptop, and most tablets. We do not require app installs. Participants join via a URL link from email or panel invite.
Test Your Prototype

From Figma to Customer Reactions in 24-48 Hours

Book a demo to see video + screen-share interviews in action, or start free with 3 interviews - no credit card required.

See it First

Explore a real video study output - no sales call needed.

Self-serve

3 interviews free. Launch your first video + screen-share study in minutes.

No scheduling. No moderator burnout. Just video evidence and verbatim depth on every session.