Snapshot
Continue to About ↓- What it does
- Sprig is an enterprise survey and research platform in which AI agents help design studies, field them adaptively across email, panels, websites and mobile apps, and synthesize results into stakeholder-ready reports.
More detail
- It is positioned for research teams that need continuous, behavior-linked feedback programs rather than one-off static surveys.
- Best for
- Enterprise and UX research, product, growth, and insights teams running continuous, multi-team research programs that need in-product, email, panel, and mobile survey delivery with governance and compliance controls.
- Pricing
- Sprig does not publish prices, tiers, or usage allowances.
More detail
- Pricing is quote-based through a booked demo and scales with your research program based on total response volume across studies, with activation depending on research capabilities, deployment environments, and enterprise onboarding and supp
- Main limitation
- Buyers who need published, self-serve pricing tiers before engaging, or small teams and individuals expecting generous free allowances
More detail
- in-product deployment also requires installing SDKs rather than a no-code-only setup.
- Record
- Living and monitored
- Reviewed
- Evidence
- Public web research
- Machine access
- Structured profile ↗
About
- Sprig is an enterprise survey and research platform in which AI agents help design studies, field them adaptively across email, panels, websites and mobile apps, and synthesize results into stakeholder-ready reports.
- It is positioned for research teams that need continuous, behavior-linked feedback programs rather than one-off static surveys.
What it helps with
- Survey design is slow and manual, requiring hand-built logic, branching, and question flows.
- Static forms produce low completion and fail to adapt follow-up questions to participants.
- Feedback is often detached from real user behavior, so teams see drop-off but not the cause.
- Statistical analysis and reporting are manual and slow to turn into shareable narratives.
- Research tooling is fragmented across separate design, distribution, and synthesis systems.
- Experience metrics such as NPS and CSAT are tracked without context on what drives movement.
Capabilities
A practical view of what is available and where limitations apply.
| Offering | Available | Detail |
|---|---|---|
| AI Design Agent | Yes | Builds studies from a goal or uploaded questions, configures skip logic, and runs AI bias audits. |
| AI Field Agent | Yes | Delivers conversational, adaptive surveys with AI-generated follow-ups and attribute piping. |
| AI Analyze Agent | Limited | Recommends and runs statistical methods such as crosstabs, t-tests, ANOVA, and correlation, but is marked 'Now in Preview' on the official site. |
| AI Synthesize Agent | Yes | Generates research narratives and surfaces segment themes with human-in-the-loop verification. |
| Multi-channel distribution | Yes | Panels, email, web apps and websites, mobile apps, and QR codes from one platform. |
| In-product SDK deployment | Yes | Requires installing SDKs for web, iOS, Android, React Native, or Flutter. |
| Advanced quantitative methods | Yes | Conjoint, MaxDiff, and Van Westendorp pricing analysis are described on official solution pages. |
| MCP connector and API | Yes | Connect Sprig to AI tools and work with data without manual exports. |
| Security and compliance certifications | Yes | GDPR, HIPAA, SOC 2 Type II, CCPA, ISO 27001, ISO 27701, and Data Privacy Framework are stated. |
| Published self-serve pricing | No | The official pricing page lists no tiers or dollar figures and directs users to book a demo. |
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Evidence
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- Verification
- Scribble researched these facts from the linked public sources.
- The owner has not manually confirmed every field.
- Last reviewed
- Primary source
- sprig.com
Technical profile details
Record ID
298974b0-c28a-4dd7-b13c-55fc7c119051Canonical URLhttps://profiles.scribble.network/listing/sprig-298974b0