Trusted by teams at
Already listening for
teams across Meta.
A few of the programs we run with Meta teams today, from weekly brand tracking to in-depth interviews in India.
Brand tracking
A weekly read on how people see Meta
A weekly conversational tracker of how people perceive Meta as a company. Each wave adds new AI-moderated interviews, so the team can see why perception is shifting as well as whether it has moved.
Weekly waves · ongoing
Threads
Creative & concept testing
Which ideas land, and why
Testing campaign creative and brand concepts for Threads, including its WNBA work, to learn which ideas land with the audience and why.
Campaign creative · brand concepts
Market research
What 18–24s in India look for in an app
In-depth interviews with 18–24-year-olds in India, exploring what shapes which apps they prefer and why.
India · ages 18–24 · in-depth interviews
Reality Labs
Product & UX research
How heavy AI users really work
Workflow walkthroughs with heavy AI users, to understand how they use AI tools in their real day-to-day work.
Heavy AI users · workflow walkthroughs
INDEPENDENT STUDY · RUN BY LISTEN
How people choose
an AI assistant.
We interviewed [N] people about Muse and the assistants they compare it with. Watch the two-minute summary, then get the full report.
Listen ran this study on its own, with its own participants. Meta did not commission it and it uses no Meta data.
[Summary video, generated in Listen · 2:00]
All Teams
Threads
Reality Labs
Ads & business
Meta AI
Stories, not the grid
"Why do creators post to Stories but skip the grid?"
Audience:
Creators with 1k–50k followers
Result:
Coded reasons plus a clip reel of the top three
Use this as my question
Leaving Reels mid-scroll
"What makes someone leave Reels for another app mid-scroll?"
Audience:
Daily Reels watchers, on screen recording
Result:
Drop-off moments, each with the participant’s own explanation
Use this as my question
Off Marketplace
"Why do sellers move a Marketplace chat to another app?"
Audience:
Active Marketplace sellers
Result:
Coded reasons, ranked by how often they come up
Use this as my question
Back to Groups
"What would bring an 18–24-year-old back to Groups?"
Audience:
18–24s who call Facebook “my parents’ thing”
Result:
Preference scores and the “why” behind each
Use this as my question
Support in a five-person shop
"Where does WhatsApp customer support break down for a five-person shop?"
Audience:
Small shops running support on WhatsApp
Result:
A map of the friction points, with clips
Use this as my question
What’s OK to forward
"How do families decide what’s OK to forward?"
Audience:
Family group admins in three markets
Result:
Themes, translated and coded, with quotes in the original language
Use this as my question
Threads
The first open
"What did people expect the first time they opened Threads?"
Audience:
People who opened Threads once and never came back
Result:
The expectation gap, in their own words
Use this as my question
Threads
Threads first
"What would make a daily X user post on Threads first?"
Audience:
Daily X users who haven’t tried Threads
Result:
Switching triggers and the blockers behind them
Use this as my question
Reality Labs
Why they wear them
"Why do people wear AI glasses, and when do they stop?"
Audience:
AI glasses owners and serious considerers
Result:
Real findings from Listen’s own Consumer Tech Readout
Use this as my question
Reality Labs
Bystanders
"How would you feel if someone wore smart glasses around you?"
Audience:
People who’ve been around someone wearing smart glasses
Result:
Where people draw the line, and what would change their mind
Use this as my question
Ads & business
Where setup stalls
"Where do small advertisers give up on campaign setup, and why?"
Audience:
Advertisers who stalled halfway through setup
Result:
The exact step, and the reason, for each drop-off
Use this as my question
Ads & business
Why spend got cut
"Why did you cut your ad spend this quarter?"
Audience:
Small business owners who cut spend this quarter
Result:
Coded reasons, split by business size
Use this as my question
Meta AI
An assistant in the group chat
"What do people ask an assistant that lives inside a group chat?"
Audience:
People who use Meta AI in a group chat
Result:
Use cases, ranked, with the moments that felt odd
Use this as my question
Meta AI
After the first try
"Why did people stop after their first try?"
Audience:
People who tried Meta AI once
Result:
The first-use gap, coded by theme
Use this as my question
Example studies, screeners and figures are illustrative. None of it is Meta research. The AI glasses figures come from Listen’s own Consumer Tech Readout.

