Woise

A second major feature group includes voice feedback with screenshot capture, which is ideal for longer explanations and feature requests where users need to illustrate their points with specific visual references. Users can narrate their thoughts while taking up to five screenshots to highlight particular areas of interest or concern, providing a balanced mix of auditory and visual context. This approach is perfect for detailed feedback that requires more explanation than a simple bug report, such as suggesting new functionalities or explaining complex workflows. The combination of voice and screenshots ensures that even intricate ideas are communicated clearly, reducing misunderstandings and enabling product teams to grasp user needs without back-and-forth communication.

Additional capabilities include a mobile-optimized screenshot and text feedback option, which automatically captures a screenshot and allows users to add a text description, serving as a fallback for browsers without recording support. This method ensures that feedback collection remains accessible across all devices, particularly on mobile where screen recording might be limited. The tool also automatically detects browser and device details, providing technical context that aids in debugging and compatibility assessments. Users can categorize their submissions as either ideas and feature requests or bug reports, helping teams prioritize and route feedback appropriately. The widget is designed for easy installation and customization, allowing seamless integration into existing websites without disrupting user experience.

Overall, Woise works by embedding a lightweight widget on a website that users can activate to provide feedback through their chosen method: screen recording with voice, voice with screenshots, or screenshot with text. When a user initiates a recording, the tool captures their screen activity and audio narration, then processes the audio through AI to generate a transcript. The submission includes automatic metadata such as browser version, operating system, and device type, which is attached to the feedback for full context. The collected data is organized in a dashboard where teams can review, search, and manage feedback, with notifications ensuring timely responses. This technical approach leverages modern web APIs for recording and cloud-based AI for transcription, creating a seamless end-to-end feedback loop.

The benefits and measurable outcomes for users include significantly reduced time spent on reproducing and diagnosing issues, as visual and auditory context eliminates guesswork. Development teams can resolve bugs faster and more accurately, leading to improved product stability and user satisfaction. By capturing feedback that might otherwise be lost, product managers gain a richer understanding of user needs, enabling data-driven decisions for feature development. The searchable transcripts and organized dashboard enhance workflow efficiency, allowing teams to prioritize feedback based on impact and frequency. Ultimately, this leads to higher quality products, increased user retention, and a more responsive development process that aligns closely with user expectations.

Concrete use cases include a SaaS company using Woise to collect bug reports from customers experiencing checkout errors, where screen recordings show the exact steps leading to failure and voice narration explains the user's frustration. A product team might solicit feature requests for a new dashboard design, receiving voice feedback with screenshots that illustrate desired layouts and functionalities. Customer support agents can use the tool to gather detailed issue reports from users without requiring lengthy email exchanges, speeding up ticket resolution. Educational platforms could employ Woise for student feedback on course interfaces, capturing navigation issues and suggestions for improvement through mobile-optimized submissions.

Target users primarily include product managers, developers, UX designers, and customer support teams at companies of all sizes, from startups to enterprises, who manage websites or web applications. Integrations are not explicitly detailed but implied through widget embedding on websites. The tech stack likely involves modern web technologies for screen recording and cloud-based AI for transcription. Pricing plans range from a free Micro tier with 10 submissions per month for hobby projects, to Small ($20/month for 50 submissions), Medium ($50/month for 150 submissions), Large ($100/month for 500 submissions), and custom Enterprise solutions for higher volumes. Each plan includes core features like screen recording, voice narration, AI transcription, and email notifications, with priority support available on paid tiers.

In summary, Woise fundamentally transforms how teams collect and act on user feedback by replacing ambiguous text with rich, contextual media that captures the full user experience. Its combination of screen recording, voice narration, and AI-powered transcription addresses the core shortcomings of traditional feedback methods, making it easier for users to report issues and for teams to understand and resolve them. By providing multiple capture methods and automatic context gathering, the tool ensures that no valuable insight is lost, fostering a more collaborative and efficient relationship between users and product builders. The primary takeaway is that Woise empowers teams to build better products by hearing and seeing exactly what users need, turning feedback into actionable intelligence that drives continuous improvement.

Updated 2026-02-28