Formbricks is an open-source survey and feedback platform for websites and apps that enables granular user insights, event-based targeting, and self-hosted data control.
Formbricks is an open-source survey and user feedback platform designed to help teams collect, analyze, and act on experience data across web and mobile products. It enables you to create targeted in-app, website, and email surveys without heavy engineering effort, using a flexible survey builder that supports multiple question types, logic, and conditional flows. Formbricks integrates directly into your product via SDKs, allowing you to trigger surveys based on user behavior, attributes, or events, such as onboarding completion, feature usage, or subscription changes.
The platform emphasizes full data ownership and privacy, with options for self-hosting or using a managed cloud deployment, making it suitable for organizations with strict compliance or data residency requirements. Collected responses are stored in a structured way, enabling segmentation, filtering, and trend analysis over time. Teams can use Formbricks for product-market fit surveys, NPS tracking, churn analysis, feature feedback, and post-support satisfaction measurement. Integration with existing workflows is supported through APIs and webhooks, allowing feedback data to flow into analytics tools, CRMs, or internal dashboards. Formbricks is particularly useful for product, UX, and customer success teams that need continuous, event-driven insights directly from users while maintaining full control over how and where the data is stored.
Please sign in to comment
💬 No comments yet
Be the first to share your thoughts!
Explore 91+ top alternatives to Formbricks
AI Companion Grok is a conversational AI assistant that answers questions, explains concepts, and provides information across diverse topics using large language model technology.
Doctransgpt is a professional AI translation tool that translates documents and websites using GPT-3.5 and GPT-4, with options for customization and user feedback.
