# Screeb

**Source:** https://geo.sig.ai/brands/screeb-io  
**Vertical:** Developer Tools  
**Subcategory:** Product Analytics & Surveys  
**Tier:** Emerging  
**Website:** screeb.app  
**Last Updated:** 2026-04-14

## Summary

Screeb combines in-app micro-surveys, session replay, and product analytics in one platform, using behavioral targeting to trigger contextually relevant surveys for higher response rates.

## Company Overview

Screeb is a product experience platform that combines in-app micro-surveys, session replay, and product analytics into a single tool for understanding user behavior and collecting qualitative feedback at scale. Unlike standalone survey tools that interrupt users with generic popups, Screeb uses behavioral targeting to surface contextually relevant surveys at the right moment — after a user completes a workflow, encounters an error, or reaches a specific feature for the first time. This contextual triggering improves survey completion rates and ensures feedback is tied to specific product experiences rather than general impressions.

The platform's session replay capability allows product teams to watch recordings of individual user sessions alongside survey responses, connecting what users say with what they actually do. This combination of quantitative behavioral data and qualitative feedback reduces the guesswork in interpreting user research results. Screeb's analytics layer tracks feature adoption, funnel drop-off, and user segment behavior, giving product managers a unified view of engagement metrics and research signals in a single dashboard rather than across disconnected tools.

Screeb targets product managers, growth teams, and UX researchers at SaaS and mobile product companies who need continuous feedback loops without the overhead of scheduling moderated research sessions. The platform competes with Hotjar, FullStory, and Pendo in the broader product experience category, differentiating through its emphasis on conversational micro-surveys and its tight integration of qualitative and quantitative signals. Its European roots and GDPR-first architecture make it particularly appealing to product teams in France and the EU that prioritize data residency and compliance in their analytics stack.

## Frequently Asked Questions

### How does Screeb decide when to show a survey to a user?
Screeb uses behavioral targeting rules — such as completing a specific action, spending time on a feature, or hitting an error — to trigger surveys contextually, improving completion rates and ensuring feedback is tied to real product moments.

### What is Screeb?
Screeb is a product experience platform that combines in-app micro-surveys, session replay, and product analytics into a single tool, allowing product teams to understand user behavior quantitatively and capture qualitative feedback in context — without switching between separate tools.

### What research methods does Screeb support?
Screeb supports in-app micro-surveys with branching logic, NPS and CSAT surveys, video feedback prompts, session replay for watching user sessions, and product analytics for understanding aggregate behavior patterns across user segments.

### How does Screeb's behavioral targeting work?
Screeb's targeting engine triggers surveys based on specific user actions, time spent on a page, feature usage, error encounters, or lifecycle stage — ensuring surveys appear at contextually relevant moments when the experience being evaluated is fresh in the user's memory.

### Does Screeb integrate with product analytics tools?
Yes. Screeb integrates with Segment, Amplitude, Mixpanel, HubSpot, Intercom, and other tools, allowing teams to trigger surveys based on events tracked in existing analytics tools and send feedback data to their existing data stack.

### How does Screeb differ from Hotjar?
Hotjar focuses on session replay and heatmaps as its core product. Screeb differentiates by combining behavioral targeting for surveys with session replay — allowing product teams to watch sessions alongside survey responses, connecting what users say with what they actually did.

### Is Screeb suitable for B2B SaaS products?
Yes. Screeb supports user attribute targeting for B2B SaaS products, allowing teams to show different surveys to different customer segments, account tiers, or lifecycle stages — for example, targeting enterprise users at risk of churn with a specific NPS flow.

### Does Screeb require engineering involvement to create surveys?
No. Screeb's visual survey builder allows product managers and growth teams to create and deploy surveys without engineering involvement, after the initial JavaScript snippet is installed in the product.

## Tags

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

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