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.
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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.
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.
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.
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.
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.
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.
How AI Video Interviews Solve Each One
What matters most to teams after switching to AI-moderated research.
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.
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.
No scheduling, no per-moderator throughput cap. 100 video + screen-share interviews complete in 24-48 hours instead of 4 weeks.
Device fingerprint, panel verification, behavioral signals, and AI quality scoring filter low-quality respondents before they reach your transcript.
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.
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.
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.
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.
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.
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.
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.
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.
From Prototype to Insights in 6 Steps
Drop in your asset, recruit, and let the AI run the sessions.
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.
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.
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.
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.
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 |
What Teams Test with Screen Sharing
Six common patterns where seeing the customer plus their screen changes the answer.
Prototype Testing
Walk customers through a working prototype. Capture what they tap, where they hesitate, and what they expect that isn't there.
→Live Website Feedback
Drop in a production URL or staging link. The AI probes scroll behavior, click choices, and what customers think the page is for.
→Figma Mockup Reactions
Share a Figma prototype URL. Customers click through screens; the AI captures emotional reactions to color, copy, and layout.
→Concept and Visual Testing
Test campaign concepts, packaging mockups, or feature visuals. Combine on-screen reaction with 5-7 layer probing on why.
→Design Validation
Validate design directions before engineering investment. Quantified themes plus replayable evidence per claim.
→Async UX Walkthroughs
Replace scheduled Zoom UX sessions with async video + screen share. Same depth, 10x throughput, no calendar tetris.
→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
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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.
No scheduling. No moderator burnout. Just video evidence and verbatim depth on every session.