Insights Labs
Insights Labs
Insights Labs
About Us
Reinventing User Research with AI
Insights labs delivers end-to-end AI-native consumer research, built on two core capabilities: AI-assisted participant recruiting and AI-moderated interviews — from precisely targeting the right respondents to surfacing deep user insights, with no human moderator required.
Our Mission
To eliminate the friction between teams and their users — making deep, reliable research available to any team, at any stage.
Our Vision
A world where every product and brand decision is grounded in real user understanding, not guesswork.
Interviews Completed
Faster Research Cycle
Research Efficiency Boost
Higher Completion Rate
European Consumer Insights for a Winter Campaign
European Consumer Insights for a Winter Campaign
A global lifestyle brand wanted to deeply understand the home life and emotional needs of winter consumers, and translate that understanding into a campaign that would resonate.
Case 01｜Brand Marketing · Winter Campaign
45 participants interviewed
3 languages
3 markets
14 days to insights
Insights Labs
FRAGMENTED USER FEEDBACK
AI handles
Team focuses
Client Impact
Where User Truth Meets Creative Direction
Where User Truth Meets Creative Direction
The research helped the brand move from broad winter assumptions to locally grounded creative direction — shaping both the visual language and copy strategy of the campaign.
"This changed how we see our users."
“These insights shaped the visual and copy direction of our winter campaign. For the first time, we understood not just what European users said, but the emotions behind their words.”
Anna
User Researcher
Multilingual AI interviews
Conducts interviews in German, French, English, and more — capturing what users genuinely think and feel in their own language and cultural context, without the distortion of translation
Insights that go straight to creative
User emotions and scenes captured in interviews are translated directly into brand-ready visual references, keywords, and copy directions — closing the gap between research and creative production
Recruiting that matches your audience
AI recruiting targets the exact respondent profiles you specify, so every insight comes from your real audience — not a generic sample
Case 03｜Existing User Research · No-Show Recovery
Helping a Series A AI Startup Finally Hear From Its Users
A Series A video generation startup was losing nearly half its research participants to no-shows until AI changed the dynamic entirely.
The client had been losing 40–50% of participants to no-shows.
By triggering AI interviews at the moment of booking, every participant became a completed response — regardless of attendance.
0%
0%
Completion
0
0
Users Reached
0
0
Days to Insights
The shift
From asking users to fit research into their calendar to letting users complete interviews on their own time.
Participation Rates
+ Improved
The Challenge
When Half Your Participants Don't Show Up
A Series A video-generation startup needed feedback from existing users, but traditional interviews kept breaking down. Nearly half of recruited participants missed scheduled calls, leaving the team with incomplete answers and growing product questions.
Insight Flow
How we turn existing users into actionable product direction.
We focus on building research workflows that help product teams stay close to their users, move faster, and decide with confidence.
1
Existing Users
2
Async AI-Led Interviews
3
Real-Time Feedback
4
Pain Point Analysis
5
Product Priorities
Less Friction.
Serious Impact.
By removing the scheduling bottleneck, the startup collected complete user feedback for the first time — revealing why users were dropping off and which product changes could have the greatest impact.
Case 02｜New Product Innovation · Consumer Electronics
Validating a New Product Before Launch
A global consumer electronics brand needed to understand North American users before bringing a new product to market — validating their direction and identifying unmet needs before launch. Insights labs used AI recruiting to precisely target the right North American participants, then ran fully AI-moderated interviews with no human intervention. The client got deep user feedback fast, with a clear picture of where to focus product innovation.
01
Target Users
02
AI-Led Interviews
03
Segment Analysis
04
Product Needs
05
Launch Decisions
What We Did
Five Steps. Zero Logistics.
Recruit Target Users
Across North America, matched to the client's target market
Match the Right Participants
Filtered by usage behavior and customer profile
Run AI-Led Interviews
Conducted by video, voice, or text at the participant's own pace
Compare Across Segments
Feedback analyzed and mapped across user groups
Deliver a Validation Report
Structured insights, ready for product and go-to-market decisions
What We Delivered
Results, By the Numbers
Results, By the Numbers
120
120
User Interviews
10+
10+
User Segments Analyzed
20
20
Unmet Needs Identified
8
8
Product Use Cases Validated
6
6
Launch Recommendations
The research helped the product team validate its direction, identify priority user needs, and refine product positioning before launch.
Insights Labs
3X
Research Efficiency Boost
Case 03｜ Existing User Research · Solving High No-Show
How a Series A AI Startup Finally Heard From Its Users
A Series A AI startup in video generation was struggling to get reliable user research done. With traditional interview methods, 40–50% of recruited participants never showed up — scheduling conflicts, forgotten calendar invites, life getting in the way.
The data gaps were real, and the product questions were piling up. Insights labs deployed AI Moderator to change the dynamic entirely: no scheduling, no fixed time slot, no no-shows. Participants complete interviews whenever it works for them, at their own pace.
The startup finally got complete, high-quality feedback from its existing users — and a clear view of where the product needed to go.
The shift
From asking users to fit research into their calendar to letting users complete interviews on their own time.
01
Recruit existing users with AI
AI identifies and recruits current users who match your research criteria — so you hear from the people whose experience actually matters
02
Participate anytime, no scheduling needed
AI Moderator lets participants join on their own time, eliminating the 40–50% no-show rate that plagues traditional interview research. No calendar coordination. No waiting
03
Real-time insight delivery
Interview findings sync to your team in real time — via Slack or your tool of choice — so you’re never waiting on a report to understand what users are telling you
04
Structured insights that drive decisions
Auto-generated reports surface product pain points and prioritize improvement areas — giving your team the evidence it needs to make confident, user-centered product calls
By eliminating the no-show bottleneck, the client collected complete user feedback for the first time — gaining a clear understanding of why users were dropping off and what changes would have the most impact.
Insights Labs
+ Improved
Participation Rates
Real Conversations. Better Decisions.
Real Conversations. Better Decisions.
Real users. Real insights. Learn what global consumers think of your product, where they hesitate, and how to turn feedback into better market decisions.
Real users. Real insights. Learn what global consumers think of your product, where they hesitate, and how to turn feedback into better market decisions.
From Brief to Report
Create guides, conduct interviews, and generate structured insights in one workflow.
Create guides, conduct interviews, and generate structured insights in one workflow.
Insights Labs
Insights Labs
Fits Your Workflow
Fits Your Workflow
Connect your existing tools and manage participant incentives without extra setup.
Connect your existing tools and manage participant incentives without extra setup.
AI-Assisted Recruiting
AI-Assisted Recruiting
Define your target profile. Our AI finds and recruits the right participants automatically.
Define your target profile. Our AI finds and recruits the right participants automatically.
AI Interview Setup
AI Interview Setup
Define your research goal in one sentence. AI builds the full interview guide.
Define your research goal in one sentence. AI builds the full interview guide.
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Interview Across Markets
Interview Across Markets
Run AI-led interviews with real users in multiple languages.
Run AI-led interviews with real users in multiple languages.
Insight Flow
01
Real Users
02
Multilingual Interviews
03
Emotional Signals
04
Visual Direction
05
Campaign Messaging
Case 01｜Brand Marketing · Winter Campaign
European Consumer Insights for a Winter Campaign
A global lifestyle brand wanted to deeply understand the home life and emotional needs of winter consumers, and translate that understanding into a campaign that would resonate.
45 participants interviewed
3 languages
3 markets
14 days to insights
Insights Labs
FRAGMENTED USER FEEDBACK
AI handles
Team focus
Client Impact
Where User Truth Meets Creative Direction
The research helped the brand move from broad winter assumptions to locally grounded creative direction — shaping both the visual language and copy strategy of the campaign.
"This changed how we see our users."
“These insights shaped the visual and copy direction of our winter campaign. For the first time, we understood not just what European users said, but the emotions behind their words.”
Anna
User Researcher
Case 02｜New Product Innovation · Consumer Electronics
Validating a New Product Before Launch
Users Interviewed
Segments Tested
Days to Report
Faster Research Cycle
The Challenge
Ready to Launch. But Is the Market Ready?
A global consumer electronics brand needed to understand North American users before launching a new product — validating use cases, unmet needs, and purchase barriers before going to market.
Validate Use Cases
Generate
What We Did
Five Steps. Zero Logistics.
Recruit Target Users
Across North America, matched to the client's target market
Match the Right Participants
Filtered by usage behavior and customer profile
Run AI-Led Interviews
Conducted by video, voice, or text at the participant's own pace
Compare Across Segments
Feedback analyzed and mapped across user groups
Deliver a Validation Report
Structured insights, ready for product and go-to-market decisions
What We Delivered
Results, By the Numbers
80
80
User Interviews
5+
5+
User Segments Analyzed
10
10
Unmet Needs Identified
0
0
Product Use Cases Validated
0
0
Launch Recommendations
Client Impact
The research helped the product team validate its direction, identify priority user needs, and refine product positioning before launch.
Case 03｜Existing User Research · No-Show Recovery
Helping a Series A AI Startup Finally Hear From Its Users
A Series A video generation startup was losing nearly half its research participants to no-shows until AI changed the dynamic entirely.
The client had been losing 40–50% of participants to no-shows.
By triggering AI interviews at the moment of booking, every participant became a completed response — regardless of attendance.
0%
0%
Completion
0
0
Users Reached
0
0
Days to Insights
The Shift
From asking users to fit research into their calendar to letting users complete interviews on their own time.
AI Moderator
Participation Rates
+ Improved
Participation Rates
+ Improved
The Challenge
When Half Your Participants Don't Show Up
A Series A video-generation startup needed feedback from existing users, but traditional interviews kept breaking down. Nearly half of recruited participants missed scheduled calls, leaving the team with incomplete answers and growing product questions.
What We Delivered
Research That Shows Up, Even When They Don't
80 Users Completed Interviews
Far above the industry average of 50% no-shows.
90%
Completion Rate
Surfaced directly from user conversations — no guesswork, no assumptions.
10+
Product Pain Points Identified
12 improvement areas prioritized
From the first AI-led interview to a structured, decision-ready report — delivered in days, not weeks.
7
days from launch to report
Less Friction. Serious Impact.
By removing the scheduling bottleneck, the startup collected complete user feedback for the first time — revealing why users were dropping off and which product changes could have the greatest impact.