Sprig
Sprig is an advanced AI tool that aims to revolutionize the way teams comprehend and enhance their product experience. The primary purpose ...
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What is Sprig?
Sprig is an AI-powered enterprise research platform designed for UX teams, product managers, and design teams who need fast, relevant user insights. The platform unifies Long-Form Surveys, In-Product Surveys, Session Replays, Heatmaps, Feedback, and Prototype Testing into a single tool powered by AI agents. Sprig helps teams do more research in less time by capturing and analyzing real-time feedback and behavioral data at scale, enabling faster decision-making across product, design, and marketing teams.
Key features include Sprig AI with three core capabilities: Ask (prompt-based study generator that builds studies from product questions), Observe (AI-powered Replays, Heatmaps, Surveys, and Feedback that capture real-time user data), and Recommend (AI Explorer that provides cross-study analysis and specific product improvement suggestions). The platform includes three AI research agents: Design Agent (creates surveys in minutes with skip logic and mandatory questions), Field Agent (adapts surveys in real-time based on respondent answers with AI follow-ups), and Synthesize Agent (automatically analyzes unstructured data into actionable insights).
Sprig is specifically built for researchers, product managers, and design teams at fast-growing tech companies. The platform integrates with tools like Figma, Slack, and Mixpanel, and scales across user bases from a few hundred to millions of users. Companies like Figma, Calendly, Ramp, Notion, and Coinbase use Sprig Surveys for experience insights.
Sprig pricing
Pricing model: Paid
Sprig offers 3 pricing plans: Free ($0/month) includes 1 study per month, 5,000 MTUs, 1 Link Survey per month, AI analysis included, basic heatmaps, and unlimited account seats. Starter ($175/month annually or $199/month monthly) includes 2 studies per month, 25,000 MTUs, unlimited Link Surveys, full AI analysis, analytics integrations, heatmaps & replays, and unlimited account seats; mobile delivery adds $200/month. Enterprise (custom pricing) includes custom usage limits for Replays, Heatmaps, Feedback & Surveys, custom MUUs per month, advanced security, study design customization, API access, dedicated support, SSO/SAML, and unlimited account seats.
Sprig pros
- AI-powered study creation from prompts saves hours of manual survey building
- Design Agent automatically builds skip logic and question flow
- Field Agent provides real-time adaptive surveys with AI follow-up questions
- Synthesize Agent automates analysis of unstructured data into insights
- AI Explorer combines Heatmap, Replay, Survey, and Feedback data for cross-study analysis
- Replays capture targeted user behavior video clips with AI theme grouping
- Heatmaps provide visual representation of user interactions with AI analysis
- In-Product Surveys capture real-time insights during user journeys
- Long-Form Surveys support foundational research on mobile and desktop
- Feedback surveys collect continuous feedback throughout user journeys
- Prototype Testing included in the unified platform
- Unlimited account seats on all plans
- Works with hundreds to millions of users at scale
- Integrations with Figma, Slack, and Mixpanel
- AI audits for bias and leading questions to ensure data quality
- Mobile delivery option available for surveys
- AI analysis included even on free tier
- Validation guardrails identify broken flows automatically
Sprig cons
- Premium pricing in USD best for VC-backed startups
- Starter plan limited to 2 studies per month
- Free tier only includes 1 study per month
- Mobile delivery costs extra $200/month on Starter plan
- MTU (Monthly Tracked Users) pricing can scale heavily
- Enterprise pricing not publicly available - custom only
- Free tier has 5k MTUs limit which may be restrictive
- AI follow-up questions only support Open Text, not Voice/Video
Frequently asked questions about Sprig
What is Sprig and what does it do?
Sprig is a unified AI-powered research platform built for UX teams, product managers, and design teams. It brings Long-Form Surveys, In-Product Surveys, Session Replays, Heatmaps, Feedback, Prototype Testing, and AI-powered research agents into a single platform. Sprig helps teams capture and analyze real-time feedback and behavioral data at scale to uncover user needs, generate faster insights, and create better product experiences.
How does Sprig AI work?
Sprig AI leverages AI in three groundbreaking ways: Ask, Observe, and Recommend. Ask lets you prompt Sprig AI with any product question and it builds a study automatically. Observe captures real-time user data through Replays, Heatmaps, Surveys, and Feedback with AI analysis. Recommend uses AI Explorer to provide cross-study analysis and specific product improvement suggestions based on experience data.
What are the AI research agents in Sprig?
Sprig includes three AI research agents: Design Agent creates surveys in minutes by uploading any survey document and instantly building a polished survey with questions, skip logic, and mandatory questions. Field Agent adapts surveys in real-time based on respondent answers with AI-generated follow-up questions. Synthesize Agent handles initial analysis of unstructured data so teams can focus on how learnings should influence decisions.
Who is Sprig for?
Sprig is specifically built for researchers, product managers, and design teams at companies who need fast, relevant user insights. The platform serves fast-growing tech companies including Figma, Calendly, Ramp, Notion, and Coinbase. It scales across user bases from a few hundred to millions of users.
What survey types does Sprig offer?
Sprig offers four survey types: Long-Form Surveys for foundational research (feature prioritization, pricing research, brand awareness), In-Product Surveys for targeted surveys right in your product, Feedback Surveys for continuous feedback throughout user journeys, and Link Surveys for web and link delivery. Long-Form Surveys work on both mobile and desktop.
What is AI Explorer?
AI Explorer is Sprig's cross-study AI analysis tool that continuously reviews experience data captured throughout your product. It combines Heatmap, Replay, Survey, and Feedback data holistically across your product experience to analyze user experience for specific flows, user groups, or entire products. The result is a prioritized list of AI-generated issues and opportunities with specific product suggestions to improve your product at scale.
How do Replays work in Sprig?
Sprig Replays capture trigger-based user journey video clips to help you see firsthand what's working and what's not. AI analyzes and groups clips into actionable product themes. Replays help teams troubleshoot issues like confusing navigation, hidden CTAs, and bugs, and watch users engage with features for the first time to identify optimization areas for your roadmap.
What are Heatmaps and how does AI analyze them?
Sprig Heatmaps capture a visual representation of users' in-product interactions with AI that does the analysis automatically. Heatmaps help teams understand user engagement trends across the product experience in real time to boost adoption, retention, and satisfaction. AI finds and fixes points of user frustration with confusing navigation, product bugs, hidden buttons, and more.
Does Sprig have a free tier?
Yes, Sprig offers a Free plan at $0/month that includes 1 study per month, 5,000 MTUs, 1 Link Survey per month, AI analysis included, basic heatmaps, web and link delivery, and unlimited account seats. The free tier is suitable for individuals just getting started with capturing quick and easy user insights or for early-stage validation.
What integrations does Sprig support?
Sprig connects to favorite tools to easily share user events, attributes, and insights. Key integrations include Figma for design collaboration, Slack for team communication and insight sharing, and Mixpanel for analytics. The platform also offers API access on Enterprise plans for custom integrations.