Sprig
In-Product Microsurveys AI AnalysisSprig replaces low-converting, post-purchase email surveys with hyper-contextual, in-app micro-surveys. If you want to know exactly why a user abandoned a specific feature, you can trigger a Sprig modal the second they click "Back." With its advanced AI text analysis, it is the ultimate quantitative-to-qualitative bridge for modern B2B SaaS and consumer apps.
Product Growth Rating
What is Sprig?
The traditional feedback loop is fundamentally broken due to "Recall Bias." If a user experiences an annoying bug while booking a flight on Monday, and you send them an email survey on Thursday asking "How was your experience?", their anger has faded, and they likely won't even open the email. Indian consumer email open rates are notoriously abysmal.
Sprig (formerly UserLeap) solves this by moving the survey inside the product. It allows Product Managers to trigger a sleek, minimalist slide-out modal directly on the user's screen at the exact moment of friction or delight.
For example, if an Indian fintech app notices a user has stalled on the PAN card upload screen for 45 seconds, a Sprig survey can instantly pop up from the bottom of the screen asking, "What's holding you back right now?" The response rate on contextual in-app surveys is routinely 10x to 20x higher than traditional email methods.
6 Key Features That Matter
- Event-Triggered Delivery: Sprig integrates directly with your analytics stack (Mixpanel/Amplitude). You do not trigger surveys based on time. You trigger them based on behavior (e.g., "Show this survey exactly 5 seconds after the user clicks 'Cancel Subscription'").
- In-Product Video Capture: A relatively new, incredibly powerful feature. When a user reports a bug via a Sprig survey, they can opt to record their screen or webcam directly inside the app, showing the developer exactly how to reproduce the bug without needing a Zoom call.
- AI Text Analysis: The defining feature of the platform. If you ask 10,000 users an open-ended question, you cannot read all the answers. Sprig's AI instantly reads the unstructured text and groups it into actionable themes (e.g., "30% complained about UPI latency, 15% wanted a dark mode").
- Concept & Prototype Testing: Like Maze, you can upload Figma prototypes into Sprig. However, instead of recruiting random testers, you can trigger a modal inside your live app asking your actual power users to test the prototype of your next feature.
- Recontact & Session Replay: Sprig integrates seamlessly with Session Replay tools (like FullStory or PostHog). If a user leaves a 1-star rating in a Sprig survey, you can instantly watch the session replay to see exactly what they experienced leading up to that rating.
- No-Code Editor: Once the engineering team installs the core SDK, Product Managers have complete autonomy. You can spin up a new survey, target specific user cohorts, and launch it to production instantly without a Jira ticket.
Pricing Breakdown (INR Context)
Sprig uses an MTU (Monthly Tracked User) pricing model. Because it is highly premium and priced in USD, it is best reserved for VC-backed startups. Note: Converted at 1 USD = ₹84. Excludes 18% GST.
- Free Tier: ₹0. A generous entry point allowing for 1 active survey, 1 prototype test, and up to 5,000 Monthly Tracked Users. Perfect for early-stage validation.
- Starter: ~₹15,000/month ($175/mo). Unlocks unlimited surveys, removes the Sprig branding, and allows for 10,000 MTUs. Essential for scaling startups.
- Enterprise: Custom Pricing. For massive consumer apps, pricing scales heavily based on MTU volume, unlocking advanced AI analysis, SSO, and dedicated data residency options.
Who Should Use Sprig?
Product-Led Growth (PLG) SaaS companies and B2C Consumer Apps with a high degree of digital interactivity. If your entire business model relies on users successfully navigating a self-serve digital dashboard, Sprig is the absolute best tool to optimize that funnel.
Who should NOT use it: Purely offline businesses or omnichannel retailers. If you need to measure the customer satisfaction of someone walking into a physical store or hospital, Sprig cannot help you. You need a tool with QR codes, SMS, and offline kiosk modes (like Zonka Feedback).
First 5 Setup Steps for Product Teams
The success of Sprig depends entirely on your event taxonomy.
- Install the SDK: Engineering embeds the Sprig Web, iOS, or Android SDK into the application.
- Map Triggers (CDP Integration): Connect Sprig to your Customer Data Platform (like Segment or RudderStack). This ensures Sprig knows exactly when a user performs a
Checkout_CompletedorError_Encounteredevent. - Select a Template: Do not invent questions from scratch. Sprig has a massive library of templates. Select the "Sean Ellis PMF" template or the "Feature Churn" template.
- Define Targeting Rules: Set strict parameters to prevent survey fatigue. (e.g., "Only show to users who have been active for >30 days, AND have not seen a survey in the last 60 days").
- Launch and Route: Launch the survey and configure a Slack integration to route all open-text responses directly to the relevant product pod's channel for immediate visibility.
Top Alternatives in the Indian Market
- Zonka Feedback: An Indian-built alternative that is significantly cheaper. While its in-app widgets are not as highly polished as Sprig's, it dominates in omnichannel delivery (WhatsApp, SMS, Kiosk).
- Appcues: Primarily an onboarding tool (checklists, tooltips), but it features a very strong in-app survey module. If you are already paying for Appcues for onboarding, you likely do not need Sprig.
- Typeform / Google Forms: The free, manual alternative. You can send links via email or hardcode them into your app, but you lose the magical AI analysis and event-triggered targeting.
Stop Relying on Dead Email Surveys
Indian users do not answer marketing emails. Let our growth engineers integrate Sprig's in-app SDK directly into your core product flows to unlock a goldmine of contextual qualitative data.
Hire us →