Study drafting from a brief
Upload a brief, paste existing questions, or describe a goal in plain language. The Design Agent turns that input into a structured study with question flow, logic, and sections you can review and edit.
Sprig
ReclamarSprig is an enterprise research platform for UX and research teams to design studies, field surveys, and synthesize responses in one system.
Enterprise research platform powered by AI agents
Sprig is an enterprise research platform for teams that need to design studies, reach participants, and turn responses into defensible findings in one system. The product centers on three AI agents: Design for study setup, Field for participant-facing delivery, and Synthesize for analysis and reporting.
The platform is positioned for UX and research teams running experience measurement, foundational discovery, journey and behavioral research, market and consumer insights, and concept or prototype testing. Sprig also offers smaller plans for individuals and small teams, while its enterprise offering emphasizes organizational governance, access controls, security, and compliance.
Core capabilities
Pre-launch validation
The Design Agent checks for broken or conflicting logic, unclear questions, and branching problems before launch, helping teams catch issues earlier in the workflow.
Conversational, contextual fielding
The Field Agent delivers surveys in a conversational, chat-style format and can personalize questions using user attributes, behavioral data, product usage context, and custom metadata.
Omnichannel deployment
Sprig supports distribution through email, links, panels, websites, web apps, and mobile apps, with native SDK integrations for web, iOS, and Android delivery.
Evidence-backed synthesis
The Synthesize Agent turns structured and open-ended responses into a report with themes, summaries, takeaways, and recommendations that can be reviewed and edited before sharing.
Platform for continuous research
Pricing and product pages indicate a single platform with configurable research capabilities for design, fielding, synthesis, and governance across teams.
Common use cases
Designing a study from scratch
Create surveys from a brief or objective, validate the logic, and launch a structured study without building the survey from scratch.
Fielding in product and across channels
Deliver surveys inside a product or through other channels, using contextual data to ask more relevant questions at the right moment.
Synthesizing research findings
Convert open-ended and structured responses into a narrative report with themes, summaries, and recommendations for stakeholders.
Continuous experience research
Run ongoing measurement programs that compare themes and metrics over time instead of treating each study as a one-off project.
Multi-team research programs
Use Sprig for product discovery, journey analysis, market insights, or concept and prototype testing when a research program needs both collection and analysis workflows.
Pros and Cons
Pros
- Combines study design, participant delivery, and synthesis in one platform.
- Supports multiple research modes, including experience measurement, discovery, journey research, market research, and concept testing.
- Offers conversational fielding and contextual personalization to improve participation quality.
- Lets researchers review, edit, and inspect evidence behind generated findings.
- Includes options for both enterprise programs and smaller standalone studies.
Cons
- The sources do not provide a published integration catalog beyond mentions of AI tools and presentation exports.
- Some workflow details are intentionally high level, so teams may need a demo to evaluate fit for their specific research process.
- Pricing is described by usage and capabilities, but the pages do not publish fixed plan prices in the provided text.
FAQ
How does Sprig fit into a research workflow?
Sprig is designed as a research platform for design, fielding, and synthesis workflows. The source pages describe it as supporting enterprise research programs, but they do not publish a detailed setup sequence beyond uploading a brief or questions, configuring deployment, and reviewing generated outputs.
How do the agents work together?
The Design Agent can ingest a research brief, pasted questions, or a plain-language objective and produce a structured study for review. The Field Agent then helps deploy that study to participants, and the Synthesize Agent turns responses into a report.
What does Sprig produce as an output?
The source pages describe several output types: a structured study draft, conversational fielded surveys, and a presentation-ready research report with summaries, themes, and recommendations. Synthesize also lets teams inspect the evidence behind generated findings.
How is Sprig priced?
Sprig’s pricing page says plans are shaped by total response volume, activated research capabilities, and deployment environments such as link, email, web, and mobile. It also says enterprise onboarding and support are included for enterprise plans.
Who is Sprig for?
Sprig positions the platform for organizations running research across multiple teams and for smaller teams using standalone studies or early initiatives. The pricing page highlights enterprise platform use as well as free and starter options for individuals and small teams.
Quick Facts
- Category
- Enterprise research platform
- Primary users
- UX and research teams
- Workflow
- Design, field, synthesize
- Deployment channels
- Email, link, panels, web, mobile
- Pricing shape
- Usage- and capability-based; enterprise onboarding and support included
- Domain
- sprig.com