Case 03|Existing User Research · No-Show Recovery

Case 03|Existing User Research · No-Show Recovery

Helping a Series A AI Startup Finally Hear From Its Users

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.

A Series A video generation startup was losing nearly half its research participants to no-shows until AI changed the dynamic entirely.

Case 01|Brand Marketing ·

Winter Campaign

Understanding European Consumers to Power 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 actually resonate. Insights labs recruited target participants through AI, then deployed AI Moderator to conduct customized interviews in German, French, and English. The result: authentic user stories and emotions, distilled directly into the visual direction, key messaging, and copy the brand needed for their winter campaign.

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

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

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

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

Sarah M

Client

” For the first time, we actually understood what European users were saying — not just the words, but the emotional undercurrent beneath the culture. Those insights directly shaped the visual and copy direction of our winter campaign. “

Sarah M

Client

” For the first time, we actually understood what European users were saying — not just the words, but the emotional undercurrent beneath the culture. Those insights directly shaped the visual and copy direction of our winter campaign. “

Case 02|New Product Innovation

How a Global Consumer Electronics Brand Validated Its Next Product

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.

AI Moderator runs the entire interview process autonomously. Participants engage naturally, by voice or text, at any time. The system captures feedback in real time and auto-generates structured insight reports — giving product teams a direct line to what North American users actually want.

Insights Labs

3X

Research Efficiency Boost

AI screens and recruits North American participants matched to your exact target profiles — covering diverse user segments to ensure your sample is representative and your findings are credible.

AI-assisted recruiting

Auto-generated reports break down how different user segments perceive the new product, what their unmet needs are, and where the clearest market opportunities lie — giving product teams a direct input into innovation decisions.

User segmentation insight report

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 schedule, to making research fit into their life

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

step image

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

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 schedule, to making research fit into their life

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

step image

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

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.
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

0x

0x

Days to Insights

Participation Rates

+ Improved

Participation Rates

+ Improved

The Challenge

When Half Your Participants Don't Show Up

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.

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.

The Shift

From asking users to fit research into their calendar to letting users complete interviews on their own time.

From asking users to fit research into their calendar to letting users complete interviews on their own time.

AI Moderator

AI Moderator

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Ainet
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What We Did

How We Solved It, Step by Step

How We Solved It, Step by Step

Recruited existing users who matched the research criteria

Recruited existing users who matched the research criteria

Launched flexible AI-led interviews with no scheduling required

Launched flexible AI-led interviews with no scheduling required

Let users respond by voice or text whenever convenient

Let users respond by voice or text whenever convenient

Synced feedback to the team in real time, as responses came in

Synced feedback to the team in real time, as responses came in

Generated a structured report on pain points and improvement priorities

Insight Flow

Insight Flow

How we turn existing users into actionable product direction.

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.

We focus on building research workflows that help product teams stay close to their users, move faster, and decide with confidence.

1

Existing Users
Existing Users

2

Async AI-Led Interviews
Async AI-Led Interviews

3

Real-Time Feedback
Real-Time Feedback

4

Pain Point Analysis
Pain Point Analysis

5

Product Priorities
Product Priorities

What We Delivered

Research That Shows Up
Even When They Don't

Research That Shows Up
Even When They Don't

[X]+ Users Completed Interviews
[X]+ Users Completed Interviews

Far above the industry average of 50% no-shows.

Y%

Completion Rate

Far above the industry average of 50% no-shows.

Y%

Completion Rate

Surfaced directly from user conversations — no guesswork, no assumptions.

56+

Product Pain Points Identified

[Z] improvement areas prioritized
[Z] improvement areas prioritized

From the first AI-led interview to a structured, decision-ready report — delivered in days, not weeks.

From the first AI-led interview to a structured, decision-ready report — delivered in days, not weeks.

Z

Z

days from launch to report

days from launch to report

Less Friction. Serious Impact.

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.

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.

Listen deeper. Decide faster.

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Based in the Bay Area

Listen deeper. Decide faster.

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Based in the Bay Area

Listen deeper. Decide faster.

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Based in the Bay Area

Listen deeper. Decide faster.

Placeholder

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Based in the Bay Area