Woise

Product Introduction

1. Definition: Woise is a browser-based user feedback collection tool (technical category: SaaS feedback widget) enabling users to submit visual and audio bug reports and feature requests directly from a website or web app.
2. Core Value Proposition: Woise eliminates vague, text-based user feedback by allowing users to effortlessly record their screen with voice narration, providing developers and product teams with actionable, context-rich feedback including automatic AI transcription, browser/device details, and visual proof, drastically reducing troubleshooting and clarification cycles.

Main Features

1. Screen Recording + Voice Feedback: Users activate the Woise widget to capture their entire screen or application window in real-time while narrating the issue or idea. The recording captures precise UI interactions. Simultaneously, the user's microphone records their explanation. Post-submission, Woise's AI automatically transcribes the voice narration into searchable text, providing a quick summary alongside the video. Technical implementation relies on browser-based media capture APIs (e.g., WebRTC).
2. Voice Feedback with Screenshots: For scenarios requiring less motion or more focused visuals, users narrate their feedback while manually capturing up to 5 annotated screenshots within the Woise widget. The AI transcribes the voice explanation, linking it directly to the relevant screenshots. This method uses browser screenshot APIs and client-side image capture.
3. Mobile-Friendly Screenshot + Text: Optimized for mobile browsers, this mode automatically captures a screenshot of the current viewport upon widget activation. Users then add a text description. It serves as a fallback for browsers lacking full recording support and leverages responsive design principles and mobile viewport capture techniques.
4. Automatic Context Capture: Every Woise submission, regardless of type, automatically logs critical technical metadata: browser type and version, operating system, device type (desktop/mobile), screen resolution, and the exact page URL. This eliminates manual user input for environment details.
5. Feedback Type Categorization: Users explicitly categorize submissions as "Ideas & Feature Requests" or "Bug Reports" during capture, allowing teams to instantly filter and prioritize incoming feedback within the Woise dashboard.

Problems Solved

1. Pain Point: Incomplete and vague text feedback causes significant delays as teams struggle to understand issues ("it's broken") or feature requests ("add X"), requiring extensive back-and-forth to gather missing context, screenshots, steps to reproduce, and environment details.
2. Target Audience:
   • SaaS Product Managers: Needing clear user insights for roadmap planning.
   • Software Development Teams (Frontend/QA): Requiring precise bug reproduction steps and environment data.
   • Customer Support Teams: Handling user-reported issues needing quick, accurate diagnosis.
   • UX Researchers: Collecting rich qualitative feedback on user interactions.
   • Product Owners of Web Apps & Mobile Websites: Seeking efficient user feedback channels.
3. Use Cases:
   • Reproducing elusive frontend bugs reported by users.
   • Capturing detailed user workflows for feature improvement.
   • Gathering specific, visual feature requests from power users.
   • Streamlining feedback collection from non-technical users on mobile devices.
   • Centralizing feedback scattered across email, Slack, and support tickets.

Unique Advantages

1. Differentiation: Unlike traditional feedback forms (Typeform, SurveyMonkey) or basic screenshot tools (e.g., browser extensions), Woise uniquely combines synchronous screen recording, voice narration, and automatic AI transcription into a single, frictionless submission. Competitors lack this integrated, context-rich capture method.
2. Key Innovation: Woise's core innovation is leveraging user voice narration synchronized with visual proof (recording/screenshots) and automated technical context capture, processed by AI for immediate readability. This replaces the inefficient, multi-step process of requesting descriptions, screenshots, steps, and environment details separately.

Frequently Asked Questions (FAQ)

1. How does Woise capture user feedback without requiring users to type? Woise allows users to record their screen with voice narration, capture voice with screenshots, or use automatic mobile screenshots with text, eliminating the need for detailed typing and providing rich visual and audio context.
2. Is Woise compatible with mobile devices for collecting feedback? Yes, Woise offers a dedicated mobile-friendly feedback mode that automatically captures a screenshot and allows text input, ensuring seamless feedback collection on smartphones and tablets.
3. Do users need to create an account to submit feedback via Woise? No, end-users submitting feedback through the Woise widget do not need to create an account; they can capture and submit their feedback instantly as anonymous or identified users (based on your configuration).
4. How accurate is the AI transcription of voice feedback in Woise? Woise uses advanced speech-to-text AI technology to automatically transcribe voice recordings into searchable text, providing a highly accurate summary for quick review alongside the original audio/video. Accuracy depends on audio clarity.
5. Can Woise handle feedback if a user's browser doesn't support screen recording? Yes, Woise provides fallback methods: the Voice Feedback with Screenshots mode or the Mobile Screenshot + Text mode, ensuring feedback capture works across all major browsers, even without full recording support.