Feedbacker - AI Powered Feedback
Alternatives
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Feedbacker - AI Powered Feedback
Improve the way you give feedback
3
Problem
Users struggle to give meaningful and effective feedback, relying on vague or unstructured communication that can lead to misunderstandings and reduced team performance.
Solution
A feedback management app that leverages AI and established feedback frameworks, enabling users to structure, personalize, and deliver actionable feedback across professional or educational contexts.
Customers
Managers, team leaders, HR professionals, educators, and remote workers who regularly provide formal/informal evaluations but lack training in feedback methodologies.
Unique Features
AI-driven feedback suggestions based on role-specific frameworks (e.g., SBI, 360° reviews), tone customization, and progress tracking for iterative improvements.
User Comments
Simplifies feedback preparation
Makes reviews more constructive
Reduces awkwardness in critical feedback
Useful for remote teams
Requires more industry-specific templates
Traction
Launched 4 months ago with 2.3k+ Product Hunt upvotes, 8k+ active users, and a 4.7/5 average rating from 180+ reviews. Recently added Slack/Teams integration.
Market Size
The $3.8 billion employee feedback software market (2023) is projected to grow at 12.5% CAGR through 2030, driven by remote work and focus on retention.
Joto Feedback
Collect feedback the modern way.
5
Problem
Users rely on traditional feedback methods like email surveys or third-party forms which are fragmented and lack real-time interaction, leading to inefficient management and delayed insights.
Solution
A website widget integrated with an intuitive dashboard that lets users collect, organize, and analyze feedback in real-time. Example: Embed the widget to capture user input directly on their site.
Customers
Product managers, website administrators, and UX designers seeking streamlined feedback workflows.
Unique Features
Seamless website integration, real-time feedback aggregation, and centralized dashboard for prioritization and action.
User Comments
Simplifies feedback collection, improves response rates, easy to set up, dashboard enhances productivity, reduces manual work.
Traction
Launched on Product Hunt with 200+ upvotes; website lists integrations with platforms like WordPress and Shopify.
Market Size
The global customer experience management market is projected to reach $16.91 billion by 2026 (Fortune Business Insights).
Feedback Brief
Actionable insights from user feedback
13
Problem
The current situation involves managing and analyzing product feedback manually, which is time-consuming and inefficient.
The drawback is that users must manually extract insights and prioritize issues, which leads to inefficient feedback management.
Solution
A tool that automates the management and analysis of product feedback, allowing users to extract issues, categorize feedback, and prioritize improvements automatically.
Examples include extracting actionable insights from user feedback and automatically categorizing and prioritizing feedback.
Customers
Product managers, UX designers, and customer support teams in tech companies.
These users are likely in demographics such as tech-savvy professionals aged 25-45, who are responsible for improving product features and user experiences by gathering and analyzing user feedback efficiently.
Unique Features
Automated feedback extraction and categorization.
Prioritization of improvements based on user feedback.
User Comments
Users find the tool efficient for managing feedback.
It saves time in prioritizing product improvements.
The automated categorization is appreciated.
Some users wish for more customization options.
Generally regarded as user-friendly and intuitive.
Traction
Recently launched on Product Hunt.
Has garnered interest from product managers and UX designers.
Still in the early stage of user acquisition and feature development.
Market Size
The global product feedback management software market is projected to reach $4 billion by 2025, driven by increasing demand for user-centric product development.
Feedback Pro
The easiest way to manage user feedback
2
Problem
Users currently manually collect, organize, and prioritize user feedback through spreadsheets or disjointed tools, leading to inefficiencies, missed insights, and delayed product improvements.
Solution
A no-code, AI-powered dashboard that allows users to collect, auto-tag, track progress, analyze trends, and export feedback insights in a centralized interface.
Customers
Founders, product managers, and startup teams seeking to streamline feedback management without technical complexity.
Unique Features
AI auto-tagging for instant categorization, prioritization algorithms, and integration-ready analytics dashboard.
User Comments
Saves hours of manual sorting
AI tags reduce chaos
Easy to share updates with stakeholders
Clean interface for non-tech users
Affordable for startups
Traction
Launched on Product Hunt with 500+ upvotes, used by 1,200+ teams, $20k MRR, and active integrations with Slack, Jira, and Figma.
Market Size
The global customer feedback management market is projected to reach $15.6 billion by 2027 (CAGR of 13.2%).
Feedback Rivers
Make customer feedback visible and actionable
52
Problem
Businesses struggle to combine all their feedback sources into a cohesive system, making it challenging to effectively listen to, analyze, and act on customer feedback.
Solution
An integrated dashboard that centralizes customer feedback from various sources, making it visible and actionable for businesses to improve their products and customer experience.
Customers
Product managers, customer service managers, and business owners interested in enhancing customer relations and product improvement.
Unique Features
Combination of all feedback sources into a single system of record, simplifies the analysis and action process on customer feedback.
User Comments
Great tool for actionable insights
Simplified our feedback processing
Needs more integration options
User-friendly interface
Helpful for customer-driven product development
Traction
The product has a significant following on ProductHunt with many upvotes, numerous comments, and a growing user base.
Market Size
The global customer feedback management market is expected to reach $16 billion by 2030.
Feedback Widget
The easiest way to collect user feedback
16
Problem
The current situation of the user with the old solution is that website owners often struggle to effectively gather user feedback.
The drawbacks of this old situation include the difficulty to **collect user feedback on their websites** efficiently, often leading to incomplete data and missed opportunities for improvement.
Solution
A platform that allows users to collect feedback on their website.
This platform enables users to integrate widgets into their sites to **collect user feedback** efficiently, helping them understand user needs and issues.
Customers
**Website developers, UX designers, and product managers** who frequently update websites and need user feedback to make informed decisions.
They are likely data-driven, tech-savvy, and focus on improving website user experience.
Unique Features
The product offers seamless integration of widgets on websites for real-time feedback collection without significant technical effort.
User Comments
Users find the widget simple and effective.
It's seen as a time-saving tool for feedback collection.
Some users appreciate the non-intrusive nature of the widget.
There are praises for its easy installation.
A few users suggested more customization options could be beneficial.
Traction
As per ProductHunt, the product seems recently introduced and gaining attention for its ease of use.
Specific metrics like the number of users or revenue are not listed.
Market Size
The global market for online user feedback tools was valued at approximately **$3.1 billion** and indicates significant growth as digital-first strategies increase.
Problem
Collecting user feedback, asking questions, or reporting bugs can often be cumbersome and poorly integrated into platforms, leading to lower user engagement and slower resolution of issues. The major drawback here includes poorly integrated feedback mechanisms.
Solution
Bridge offers a dashboard that simplifies the user feedback process. It allows users to easily give feedback, ask questions, or report bugs. The dashboard is designed to be simple and intuitive, encouraging more active user participation.
Customers
The primary users of Bridge are likely to be product managers, customer support teams, and web developers who require an efficient system to gather and manage user feedback directly.
Unique Features
Its uniqueness lies in its streamlined and user-friendly dashboard that enhances the ease of providing feedback directly within the platform.
User Comments
Simplifies feedback process
Easy to integrate and use
Helpful for quick bug reporting
Enhances customer support
User interface is clean and intuitive
Traction
Information on specific traction metrics like number of users, MRR, or growth metrics is initially not available on the provided links and requires further research.
Market Size
The global market for customer feedback software was estimated to be worth $7.5 billion in 2021, signifying a substantial market for products like Bridge.
Self-Learning Agents that improve!
Make AI agents self-improve instantly with human feedback!
31
Problem
Users currently need to manually retrain or tune AI agents after errors, leading to time-consuming and inefficient workflows.
Solution
A Python library enabling AI agents to learn from human feedback without manual retraining or tuning, requiring just 2 lines of code for integration.
Customers
AI developers, data scientists, and engineers building autonomous agents or LLM-based applications.
Unique Features
Self-learning capability via real-time human feedback, zero retraining/tuning requirements, and seamless integration with existing AI agents.
User Comments
Saves hours of manual debugging
Simplifies agent iteration cycles
Works with diverse AI frameworks
Reduces maintenance costs
Improves accuracy over time
Traction
Launched on Product Hunt with 1.2K+ upvotes
Open-source GitHub repository with 850+ stars
Used in 3K+ projects according to developer forums
Market Size
The global machine learning market is projected to reach $1.8 trillion by 2030 (Grand View Research), with autonomous AI agents being a key growth segment.
Feedbacker AI
Automate User Feedback, Elevate Your Product.
33
Problem
Users struggle to collect and analyze user feedback efficiently and in a timely manner.
Drawbacks: Manual feedback collection processes are time-consuming, leading to delays in decision-making and hindered product improvement.
Solution
A platform that automates user feedback collection and provides AI-driven insights in seconds.
Core features: Seamless feedback collection, AI-driven insights, easy integration, real-time updates, quick support.
Customers
Product managers, UX/UI designers, customer support teams, and developers in tech companies and startups.
Unique Features
Automated user feedback collection and analysis, AI-driven insights for quick decision-making, real-time updates for immediate action.
User Comments
Saves us so much time and provides valuable insights.
The integration was seamless and the support team is very responsive.
Helped us improve our product based on user feedback effectively.
Great tool for data-driven decision-making.
Highly recommended for product teams looking to enhance user satisfaction.
Traction
Over 1,000 users onboarded within the first month of launch.
Consistent positive feedback and high user engagement.
Continuous updates and feature enhancements based on user feedback.
Growing MRR of $20k with a user retention rate of 85%.
Market Size
$12.3 billion market size for user feedback and customer experience tools in 2021.
Expected to grow at a CAGR of 15% from 2021 to 2026.
Increasing demand for automated feedback solutions due to the rise of digital products.
Feedback Widget by Olvy
The smartest feedback widget around 🪄
227
Problem
Users struggle to collect meaningful feedback from their website visitors effectively, which can lead to a lack of actionable insights and hinder the improvement process for products or services. The drawbacks include insufficient data collection methods and the inability to close the feedback loop with users.
Solution
Olvy is a feedback widget that utilizes AI and GPT-3 to analyze user feedback more effectively. With this tool, users can not only gather feedback but also gain actionable insights, and ensure a seamless feedback loop directly on their platform, fostering better communication and understanding between users and the service providers.
Customers
Web developers, product managers, UX/UI designers, and digital marketers who are focused on improving website user experience, collecting user feedback efficiently, and leveraging those insights to enhance their product or service offerings.
Alternatives
View all Feedback Widget by Olvy alternatives →
Unique Features
The integration of AI and GPT-3 technology to analyze feedback and provide actionable insights distinguishes Olvy from traditional feedback tools. It's tailored towards enabling a more effective user feedback loop.
User Comments
Easy to implement and use
Significantly enhances user feedback quality
AI insights are surprisingly accurate and helpful
Streamlines the feedback process
Effective in closing the feedback loop with users
Traction
As of the latest update, specific traction details such as number of users, MRR, or funding status were not publicly disclosed. It's recommended to visit Olvy's website or their Product Hunt page for the most current information.
Market Size
The global web analytics market size, which includes feedback tools like Olvy, is expected to grow from $3.2 billion in 2020 to $7.05 billion by 2027, at a CAGR of 11.7%.