AI is accelerating how fast teams build products. Research tooling hasn’t kept up.
Even today, running a study is still a multi-step, manual process. Teams design a study, program it, QA it, field it, and then analyze it. Each step takes time, requires coordination, and slows down how quickly teams get to insight.
That gap is becoming more painful as product velocity increases. Teams can ship faster than ever, but understanding users is still a bottleneck.
Today, we’re introducing Sprig Research Agents.
Research Agents are built to accelerate every step of the study workflow, from setup to analysis. Instead of stitching together tools and processes, teams can move faster with agents embedded directly into how research gets done.
Accelerating the research workflow
Sprig Research Agents span the full lifecycle of a study, helping teams move faster without sacrificing depth.
Design Agent
Getting a study live is still more work than it should be. Teams spend time translating a document with survey questions into a fully programmed survey, setting up logic, and checking for errors before anything can go out.
Design Agent removes that overhead.
Upload a document with your survey questions, and Design Agent generates a complete, fully programmed study ready to launch, with response options, logic, and randomization already in place. What used to take hours can now be done in minutes, allowing teams to move from draft to live study much faster.
Field Agent
Traditional surveys are static, which limits how much teams can learn from each response. Once a survey is live, there’s no way to go deeper based on what someone says.
Field Agent introduces a more personalized and engaging approach.
It creates a conversational survey experience for respondents, with rich personalization based on user attributes and context. It also generates follow-up questions in real time based on responses, allowing teams to dig deeper and capture more meaningful insight.
Synthesize Agent
Analysis is often the most time-intensive part of the study process. Teams export data, build slides, and work to connect insights after the study is complete.
Synthesize Agent speeds this up significantly.
It generates a structured, evidence-backed research report as responses come in, including themes, summaries, and supporting quotes. By the time the study ends, teams already have a clear starting point for decisions.
Faster workflow, better outcomes
Sprig’s research agents remove the tradeoff between speed and rigor.
Studies that previously took days to set up can now be launched in minutes. Insights that used to take days to synthesize are available as responses come in. Teams can run more studies, iterate faster, and stay closer to their users.
This allows teams to move faster while producing higher-quality, more defensible insights.
Research inside your existing workflow
Insights are only useful if they’re easy to access.
Over the coming months, we’ll be rolling out an MCP connector so teams can access and use Sprig research directly in tools like Claude, Gemini, and ChatGPT. Teams can ask questions about their studies, pull insights into documents, and use them in product decisions without switching contexts.
This makes research easier to use across the organization and more naturally integrated into how teams work.
What’s coming next
Sprig Research Agents will begin rolling out in early May, with broader availability over the following weeks.
They’re built to accelerate how research gets done, so teams can move faster from question to insight.
As product development accelerates, research needs to keep up. Research Agents are a step toward making that possible.
