Sprig transforms manual survey workflows with a system powered by research agents, enabling enterprise teams to move from question to defensible insight without compromising rigor.
Every product team has a filing cabinet of good intentions. It is full of research that arrived a week after the decision was already made. Somebody wanted to know why users abandoned the onboarding flow, kicked off a study, waited, chased responses, cleaned the data, and by the time the deck was ready the roadmap had moved on. Sprig was built by a person who lived that lag and decided it was a solvable problem, not a fact of nature.
That person is Ryan Glasgow, a former product manager who founded the company in San Francisco in 2019 under the name UserLeap. The original product was narrow and useful: a micro-survey that fired inside a live app the instant a user did something interesting, so the question landed while the experience was still warm. It caught on with SaaS teams who were tired of surveying people three weeks after the fact and calling it insight.
In 2021 the company rebranded to Sprig, a name coined with the help of branding studio Lexicon. The new name marked a bigger shift than a fresh logo. Sprig was no longer one widget; it was consolidating the scattered tools of user research - in-product surveys, longer studies, session replays, heatmaps, and open-text analysis - into a single platform. The pitch was simple to say and hard to build: put attitudinal and behavioral research under one roof so teams stop stitching together five tools to answer one question.
Strip away the category labels and Sprig sells one thing: speed to a defensible answer. A product manager, designer, or researcher has a question - does this new pricing page confuse people, would users pay for this feature, why does retention dip in week two - and Sprig is the machinery that turns that question into evidence collected from real users, ideally while they are still in the flow of using the product.
The current homepage says it in five words: "Enterprise surveys. Powered by agents." That last word is the interesting one. Sprig has reorganized the platform around three AI research agents, each owning a slice of the workflow that used to eat a researcher's afternoon.
Turns a research objective into a full study, wires up logic and branching, and audits the questions for bias before a single user sees them.
Delivers studies through a conversational interface, personalizing follow-ups in real time to pull higher-quality answers out of respondents.
Clusters open-text, spots patterns across segments, and produces a presentation-ready narrative report instead of a raw spreadsheet.
The tell is what the agents remove. The old survey builder was a blank canvas, which sounds generous and is actually a tax - most of the skill in research is knowing what to ask and how not to lead the witness. By having a Design agent audit for bias up front, Sprig is quietly arguing that rigor should be built into the tool, not left to whoever happens to be running the study that day.
Sprig's customer list reads like a directory of companies that live or die by understanding their users quickly: Figma, Square, HelloFresh, Notion, Coinbase, Ramp, and Calendly among them. These are product-led businesses where a confusing flow costs real money and a good insight compounds. Figma's UX research lead put the appeal plainly - the platform lets the team "get a wealth of feedback from our users." Square's research group uses it to scale its impact without scaling headcount at the same rate.
The scale behind the scenes is large. Sprig reports processing more than 1.3 trillion events, storing over 72 billion visitor attributes, and tracking better than a billion visitors a month. Those are the kinds of numbers that let a survey fire at exactly the right moment for exactly the right person, rather than blasting everyone and hoping.
The problem Sprig attacks is timing as much as method. Traditional research is retrospective - you study what happened after it happened, and the finding lands after the moment to act on it has passed. The company's stated mission is to rebuild survey and research infrastructure so teams move from question to evidence faster without losing rigor, and its stated vision is research that happens "in the moment, not after the fact."
There is a second, quieter problem: rigor at speed. Fast research is easy to do badly. Leading questions, biased samples, and cherry-picked quotes produce confident-sounding nonsense. Sprig's answer is to bake guardrails into the tooling - bias detection during design, validation on the data coming in - so that going faster does not mean getting sloppier. For a research team, that is the difference between a tool that saves time and a tool you can defend in a room full of executives.
Sprig sits in a crowded middle. Above it are the enterprise experience-management giants - Qualtrics, Medallia - built for company-wide feedback programs and priced accordingly. Around it are the specialists: Hotjar and FullStory for behavior, Maze and Dovetail for research operations, Typeform and SurveyMonkey for general-purpose surveys, Pendo for in-app guidance, and open-source challengers like Formbricks nipping at the mid-market.
Sprig's wedge is the combination. Behavioral triggers plus attitudinal surveys plus AI synthesis, aimed squarely at product and design teams rather than at a central customer-experience department. Its bet on agents is a bet that the next advantage is not more features but less work - that teams will pick the platform that turns an objective into a finished study with the fewest human handoffs. It is worth noting the flip side: the same enterprise pivot that won Figma and Square left some of UserLeap's original small-team users hunting for something simpler. Growing up has a cost, and Sprig has paid part of it.
Sprig raised its way up the ladder that its ambitions required. A $16M Series A in late 2020 funded the platform build. A $38M Series B in mid-2021, led by Andreessen Horowitz, powered the rebrand and expansion. A $30M extension in August 2022 brought total funding to roughly $90M and reportedly valued the company around $330M.
The investor roster - Andreessen Horowitz, Accel, First Round Capital, and angel Elad Gil - is the standard cast for a company at this stage. The interesting name is Figma Ventures, which joined in 2022. Figma is both a marquee Sprig customer and an investor, a tidy signal that a design-tool company betting on its own users understood the value of a tool for understanding users. The business itself is straightforward B2B SaaS: subscriptions tiered by product scale and seats, sold to mid-market and enterprise product, design, and research teams.
Ryan Glasgow launches in San Francisco with behavior-triggered in-product micro-surveys.
Early funding to turn a survey widget into a product research tool.
A $38M round led by a16z bankrolls the leap to an all-in-one research platform.
Total funding reaches ~$90M as Figma Ventures joins the cap table.
Design, Field, and Synthesize agents plus an MCP Connector reframe the whole product.
The through-line is consistent even as the surface keeps changing. From a single micro-survey to a platform to a set of agents, the company has kept pointing at the same target: shrink the distance between a product question and a trustworthy answer. The tools got more capable; the ambition stayed put.
The honest way to describe Sprig is not as a survey company or an analytics company but as infrastructure for decisions. Product teams do not want more dashboards. They want to ship the right thing more often and defend the choice afterward. Sprig's thesis, sharpened by its founders' view of building product in a post-LLM world, is that research should be continuous rather than episodic, connected to real behavior rather than guessed at, and produced fast enough to matter while the decision is still open.
Whether the agent-first approach becomes the default for research or one option among many, the underlying idea has already spread: evidence should keep pace with the roadmap. For the teams at Figma, Square, HelloFresh, and Coinbase already running on it, Sprig is the quiet layer that turns a hunch into something you can put in a deck - and then act on before the moment passes.