Outset's AI avatar runs live interviews at scale, surfacing the insights that surveys miss – making user research something teams can afford to do weekly.
ENTRY ANGLES
Build Outset or Perspective-style AI interview platforms · Automate adjacent research workflows · Apply AI to reduce cost/complexity of existing tools to expand user base
VERTICALS
CAPABILITIES
AI/large language models, Conversational AI and natural language processing, Research workflow automation
OUTSET FOUNDER
“at $142 billion, broken down as: - $54 billion in market research, - $56 billion in market research software, - $33 billion in”
User research at most companies is slow, expensive, and episodic – something you commission before a launch, then again when something goes wrong. Outset is built to change that. Its AI avatar – a face and voice that connects with participants online and holds live conversations – replaces the human researcher without sacrificing conversational depth.
The practical effect is significant. A live AI interviewer surfaces more than a static survey does, because participants reveal more in conversation than they do answering checkbox questions. The AI can also interview in any language the participant is comfortable speaking. Interviews run simultaneously with any number of participants, compressing what was a weeks-long process into hours. And the platform automates not just the interviews but the analysis – a job that would otherwise require a dedicated analyst team. The result: research at greater scale, faster, cheaper, and with higher fidelity than traditional methods allow.
Running a study requires three steps:
- Upload an instruction document for the AI interviewer: how to present itself, how to speak, what to ask.
- Provide a contact list of the people it should reach and interview.
- Wait. Results arrive automatically.
Outset supports a wide range of research objectives – from discovery work on unmet needs to post-launch feedback collection.
During interviews, the AI can do more than ask questions. It can solicit reactions to interface mockups, product prototypes, live websites, ad concepts, and anything else displayable on a screen.
Delivered outputs include:
- A highlight reel of the most notable moments across interviews
- Full transcripts of all conversations, translated into the research team's language
- A structured breakdown of findings by category and response type
- A list of key takeaways
- A searchable knowledge base of all research materials, queryable in plain language
Outset operates on annual contracts; pricing scales with the planned number of interviews, participants, and required platform features.
The company currently has around 50 clients, revenue growing at 20% per month, and a doubling in the past four months – with just 14 people on staff, founders included.
Outset was [first covered here in fall 2023](/review/insajty-dvigatel-biznesa), when it raised its previous $3.8M round. It has now closed $17M in new funding.
The lead investor in this round, 8VC, put Outset's total addressable market at $140 billion. If that's right, $17M is practically pennies relative to the potential upside.
The $140 billion figure looked enormous at first – quick searches for user research market estimates turned up much smaller numbers. But digging further, there's a study that puts the "insights industry" at $142 billion, broken down as:
- $54 billion in market research,
- $56 billion in market research software,
- $33 billion in "reporting" – what companies spend internally to analyze, interpret, and disseminate research findings.
And that $142 billion reflects 2024 actuals. This is despite user research, including in-depth interviewing, still being slow, expensive, and operationally intensive for most companies. AI-powered research tools should change all three of those constraints simultaneously.
When that happens, something economists call Jevons' Paradox kicks in. Formulated in the 19th century, the paradox describes what happens when a technological advance makes a resource more efficient to use: consumption of that resource tends to increase, not decrease, because lower costs drive broader adoption.
In plain terms: making user research faster and cheaper won't shrink the market – it'll expand it. Companies that never ran research before will start. Companies that ran it occasionally will run it continuously. The addressable audience grows by orders of magnitude.
This effect should at minimum dramatically expand Outset's potential customer base. And it may well grow total market size even further – a price drop of 80% compounded by 10x growth in the number of payers can still produce a larger overall market.
User research, it turns out, is a surprisingly high-upside category. And Outset and 8VC aren't the only ones who noticed.
Perspective ([reviewed here](/review/kak-poluchit-insajty-pro-svoj-produkt)) raised $4M in January of this year under the banner of "democratizing user research" – making it accessible to a broader universe of companies. Their approach is nearly identical to Outset's: AI interviewers conducting and summarizing user research at scale.
The near-term direction: if the insights market is already this large – and the user base could grow by orders of magnitude as AI brings down the cost of research – this space deserves immediate attention. Building Outset- or Perspective-style platforms, or automating adjacent research workflows, looks like a strong opportunity right now.
The broader pattern is worth naming. As Microsoft CEO Satya Nadella wrote in January: "Jevons' Paradox is playing out again. As AI becomes more efficient and accessible, we will see its use skyrocket – turning AI into a commodity we can't get enough of"
What other things exist today – things that only a minority use because they're too expensive or too complex – could be made dramatically more accessible with AI, pulling in orders of magnitude more users?