# Sprig

**Source:** https://geo.sig.ai/brands/sprig-io  
**Vertical:** Developer Tools  
**Subcategory:** In-Product Research  
**Tier:** Emerging  
**Website:** sprig.com  
**Last Updated:** 2026-04-14

## Summary

Sprig is an in-product user research platform that triggers surveys, concept tests, and session recordings inside a live product, capturing contextual feedback at key user journey moments.

## Company Overview

Sprig is an in-product user research platform that enables product teams to capture user feedback through surveys, concept tests, and recorded interviews triggered directly inside a live product. Unlike traditional research methods that recruit participants from external panels and test prototypes in artificial conditions, Sprig intercepts real users at contextually relevant moments — after they complete a task, encounter an error, or reach a key product milestone — capturing feedback when the experience is fresh and the user is genuinely engaged. This in-context approach produces higher response rates and more actionable insights than post-hoc surveys sent by email.

The platform supports multiple research modalities: microsurveys with logic branching for quantitative signal, five-second tests and concept evaluations for design validation, and recorded video sessions with screen capture for qualitative insight. AI analysis automatically synthesizes open-text responses and video session summaries, reducing the manual work of analyzing hundreds of qualitative responses. Targeting rules let product teams reach specific user segments based on behavioral attributes, plan type, feature usage, or custom properties passed from the product.

Sprig targets product managers and UX researchers at product-led growth companies who need a continuous research practice embedded in the product lifecycle rather than periodic research projects conducted by a separate research team. It competes with Pendo, Appcues surveys, and Typeform for in-app feedback, differentiating through its richer research modalities — particularly the video interview and concept test capabilities — that go beyond simple survey collection. The platform is used by teams at companies like Square, Dropbox, and Loom to build a continuous feedback loop between user behavior and product decisions.

## Frequently Asked Questions

### How does Sprig's in-product research differ from sending users a survey by email?
Sprig triggers surveys and video prompts inside the live product at contextually relevant moments — such as right after a user completes a workflow — resulting in higher response rates and more accurate feedback than email surveys sent hours or days after the experience.

### What is Sprig?
Sprig is an in-product user research platform that enables product teams to capture user feedback through surveys, concept tests, and recorded video prompts triggered directly inside a live product — capturing responses when the experience is fresh rather than through post-hoc email surveys.

### What research modalities does Sprig support?
Sprig supports micro-surveys with logic branching, five-second concept tests, recorded video interviews with users, and AI-powered analysis that synthesizes responses across hundreds of submissions to surface themes without manual tagging.

### How does Sprig target specific user segments?
Sprig integrates with product analytics tools like Segment, Amplitude, and Mixpanel, allowing teams to target surveys at specific user cohorts — for example, users who have used a feature three or more times, or users who signed up in the last 14 days but have not completed onboarding.

### Does Sprig offer AI-powered analysis?
Yes. Sprig's AI layer automatically synthesizes open-text survey responses across large response sets to identify common themes, sentiment patterns, and actionable insights — reducing the manual analysis burden for teams running research at scale.

### Can Sprig be used for concept testing?
Yes. Sprig supports concept tests where users are shown a design, screenshot, or prototype and then asked structured questions, enabling rapid validation of design directions before full engineering investment.

### Is Sprig suitable for both B2B and B2C products?
Yes. Sprig is used by both B2C consumer apps and B2B SaaS products. B2B teams commonly use Sprig for feature validation, onboarding feedback, and customer health surveys, while B2C teams use it for conversion optimization and retention research.

### How does Sprig installation work?
Sprig installs via a JavaScript snippet or SDK and integrates with Segment for event data, requiring minimal engineering effort for initial setup. After installation, product managers can create and deploy surveys and studies without additional engineering involvement.

## Tags

developer-tools, saas, b2b, startup, platform, analytics, ai-powered, automation, crm

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*Data from geo.sig.ai Brand Intelligence Database. Updated 2026-04-14.*