See the Unseen with Product View AI
Re-imagining Product Testing with Vision AI and AI Agents - 11.24.25
The challenge product teams face
In-home usage tests (IHUTs) lean on surveys. Surveys tell you what people remember and choose to share - not what actually happened in the moment.
Consumer video changes that. It exposes the eyebrow raise at "sulfate-free," the wince after the first spray, the over-dose from a foundation pump. These micro-moments are where friction hides, workarounds start, and loyalty is won or lost.
Introducing Product View AI
Product View AI brings consumer videos, observational methods, Vision AI, and AI agents into one workflow so you can see real usage, decode emotion and behavior, and turn it into fixes your team can ship.
- See real product use. Collect raw, in-home videos to capture what people do - not just what they say.
- Decode emotions and behaviors. Observational techniques map the "why" across activity, goal, feeling, actor, event, time, space, and object.
- Test at speed and scale. Vision AI models, trained with observational coding, convert hours of footage into patterns, tensions, and clear next steps.
- Enrich with AI agents. Interdisciplinary agents - think semiotician, anthropologist, neuroscientist - turn signals into guidance your team can act on.
This approach turns unfiltered consumer videos into actionable recommendations for product development and sharper marketing. Product View AI turns the say-do gap into see-do clarity. Using in-home video, computer vision, and expert agents to overcome legacy IHUT blind spots and fast-track the right fixes - so your product isn't just tested, it wins.
What you get
- Be a fly on the wall in your product experiences
- Discover hidden opportunities for product development
- Targeted recommendations for product improvement
- Develop products that win, with validated methods, consistent KPIs, and proven expertise
How it works (at a glance)
- Recruit in-home testers with clear consent for video capture and privacy guardrails.
- Capture raw usage across priority tasks and moments (setup, first use, refills, failures).
- Vision AI detects faces, gestures, objects, sequence, dosage, dwell time, and context.
- Observational coding maps activities, goals, feelings, actors, time/space, and objects.
- AI agents synthesize tensions and opportunities into fixes, A/Bs, and design rules.
- Output includes ranked recommendations, expected impact/effort, and KPI movement.
Why this matters for product development
People don't narrate their habits, micro-frustrations, or workarounds in surveys. Vision AI and observational methods surface them without adding respondent burden. Pair that with interdisciplinary agents, and you get context plus clarity - the "why" and the "what to do next."
For teams, that means fewer launch failures, faster iteration, and stronger claims support. For leadership, it means consistent KPIs across studies and product lines, built on methods you can defend.
What's inside the analysis
- Moment maps: first-use, peak frustration, recovery, and delight
- Emotion and behavior signals, informed by affective computing research
- Jobs-to-be-done tensions linked to design, formula, packaging, or instruction fixes
- Prioritized recommendations tied to severity, frequency, and business impact
Read: "Seeing the Unseen"
Our latest Ipsos Views paper - the third edition of the Humanizing AI series - shows how leaders can use HI+AI to see moments in product experiences, not memories, at scale and with new depth.
Backed by Ipsos, the world's largest product testing advisor
Access a suite of solutions that measure sensorial, contextual, and emotional connections with consistent Key Performance Indicators. Proven methods help brands reach superiority across the product lifecycle.
Next steps
- Identify the top three moments that matter in your product experience.
- Run a focused IHUT with video capture and clear success metrics.
- Apply Product View AI to prioritize fixes you can ship in the next sprint.
If your team is upskilling on AI for product work, explore practical training here: AI courses by job.
Contact
Get in touch with the Ipsos Product Testing team to see a demo and review sample outputs for your category.
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