Best AI tools for< Collect User Feedback >

heardeer is an AI-powered user interview platform that helps businesses collect valuable feedback from their users. With heardeer, you can create custom interview questionnaires, share them with your users, and let AI manage the interviews. heardeer's AI engine will ask your users questions, follow up on their answers, and provide you with detailed insights into their feedback. This can help you understand your users' needs, improve your products and services, and make better decisions.

UXsniff is an AI-powered website analytics tool that offers features such as session recordings, website heatmaps, feedback widgets, on-site surveys, and site audits. It autonomously analyzes user behavior to identify abnormal patterns and provides insights to enhance website UX and conversion rates. The tool leverages AI technologies like GPT Assistant and ChatGPT API to summarize session recordings and provide actionable recommendations. UXsniff helps users visualize user behavior through interactive heatmaps and offers automated SEO and UX audits. It also integrates with Zapier to connect with over 5000 apps for seamless workflow automation.

Quod.ai is an AI application that leverages Cloudflare to restrict access to its website. The site owner has the ability to ban specific autonomous system numbers (ASNs) from accessing the website. Users encountering an access denial message are prompted to enable cookies. Quod.ai provides a secure browsing experience by utilizing Cloudflare's performance and security features.

Eazy Response is an AI-powered feedback tool that helps businesses gather real user feedback quickly and efficiently. It allows users to engage with their audience using emojis, customize questions, run quizzes, and gain actionable insights through AI-driven data analysis. With easy integration and simple analytics, Eazy Response enables businesses to enhance user experience, make data-driven decisions, and improve their products based on real feedback.

ProProfs is a user research and customer feedback software that offers a comprehensive suite of tools for collecting real-time insights from website visitors and app users. With features like AI sentiment analysis, question branching, branding customization, advanced user targeting, and nudge for prototype, ProProfs empowers businesses to gather valuable feedback to enhance user experience, product functionality, and customer satisfaction. The application is designed to help businesses improve website leads, iOS & Android app feedback, NPS, customer experience management, ecommerce conversion, SaaS conversions, and marketing performance. ProProfs is known for its AI-powered analytics and reports, user-friendly interface, and exceptional customer support.

Kraftful is an AI-powered tool that helps product teams collect, analyze, and prioritize user feedback. It integrates with various feedback sources, such as surveys, app store reviews, support tickets, and user interviews, to provide a comprehensive view of user needs and pain points. Kraftful uses natural language processing and machine learning to automatically categorize and summarize feedback, making it easy for product teams to identify trends and make data-driven decisions.

Feedbuck AI is an AI-powered user feedback collection tool that helps businesses collect feedback from their users quickly and easily. It uses AI to automatically generate feedback questions based on your website and objectives, and it provides straightforward summaries with clear results. Feedbuck AI is easy to use and integrates with a variety of platforms, making it a great choice for businesses of all sizes.

Kraftful is an AI-powered platform designed for product builders to collect, analyze, and act on user feedback efficiently. It offers features such as sentiment analysis, auto-organizing insights into projects, generating surveys, AI-powered user interviews, and feedback translation. Kraftful helps product teams save time by automating tasks like crafting user surveys, analyzing feedback, and generating user stories. The platform aims to provide actionable product insights by turning volumes of user feedback into valuable information for product development.

LoomFlows is a user feedback collection tool that allows businesses to collect high-quality feedback from their users through Loom screen recordings and annotated screenshots. It helps businesses streamline feedback collection, identify impactful opportunities, and scale faster by building the right features.

Hubble is an all-in-one user research tool designed for continuous discovery in product development. It offers a wide range of features such as in-product research, usability testing, participant recruitment, and resources like guides and templates. Hubble empowers product teams to collect user insights at every stage of the development process, enabling them to make informed decisions and build better products.

Feedeo is an AI Interactive Video Generator that allows users to create branded link pages with custom avatar videos. The platform enables users to generate leads, showcase products, gamify engagement, and collect feedback effortlessly through interactive videos. Feedeo offers rich components for interactive user feedback collection and provides a simple 5-step process to create and publish interactive videos. The application caters to various industries such as marketing, sales, recruitment, e-commerce, and education, offering personalized video solutions to enhance customer interaction and drive business growth.

RhetorAI is a feedback collection AI for businesses. It uses ChatGPT to interview customers and provide insights. With RhetorAI, businesses can get real feedback from their users anytime, anywhere. It's like having a 24/7 product researcher on your team.

ChainFuse is an AI-powered customer analytics tool designed for support-focused teams. It helps businesses track trends, receive critical alerts, and gain weekly insights to minimize churn and enhance user satisfaction. By unifying siloed customer data and connecting various communication channels, ChainFuse provides a comprehensive view of the customer's social journey. The tool leverages AI storytelling to simplify data analysis, identify leads, visualize trends, and provide real-time alerts. ChainFuse aims to prevent negative experiences, lost opportunities, and revenue loss by supporting communities, sending data to multiple platforms, and offering AI-powered insights for trend analysis and sentiment detection.

EchoQuery is an AI-powered user research tool that helps businesses gain valuable insights into their customers' needs. It offers a comprehensive analysis tool that guides users through four simple steps: creating analysis, sharing surveys, analyzing results using AI, and digging deeper for more insights. With features like unlimited analysis, AI-powered interviews, AI findings and themes, and an AI querying tool, EchoQuery empowers businesses to make data-driven decisions. The tool also provides email and phone support to assist users along their research journey.

Reflectfy is an AI-powered feedback tool that enables businesses to collect customer feedback, analyze sentiments, and generate actionable insights. It offers a comprehensive dashboard to visualize data, AI-powered sentiment analysis, customizable properties, and user management features. Reflectfy helps businesses make data-driven decisions to enhance customer experience and drive growth.

Metaforms is an AI-powered form builder that helps businesses create personalized and engaging forms. It uses AI to automatically generate conditions, logics, and branching, which can save businesses up to 85% in setup time. Metaforms also uses AI to provide real-time question framing and acknowledgements, which can increase completion rates by up to 30%. Additionally, Metaforms' AI can ask follow-up questions based on other user responses in a cohort, which can provide businesses with more insights about user behavior, intent, and preferences.

ProductKit.ai is a tool designed to help businesses convert customer feedback into powerful testimonials. It allows users to easily collect and showcase positive feedback on their websites, ultimately boosting credibility and trust among potential customers. With ProductKit.ai, users can quickly set up feedback widgets, customize the display, and approve testimonials before they are published. The tool is user-friendly, works on any website, and provides valuable insights to improve products and services.

ChatBuild AI is a website that allows users to create custom trained AI chatbots for their website in minutes. No coding experience is needed. Users can upload files to train their chatbot, and ChatBuild AI will generate a custom chatbot that is trained on the user's own data. ChatBuild AI also offers global support, so users can use their chatbot in any language.

Arro is an AI-powered research assistant that helps product teams collect customer insights at scale. It uses automated conversations to conduct user interviews with thousands of customers simultaneously, generating product opportunities that can be directly integrated into the product roadmap. Arro's innovative AI-led methodology combines the depth of user interviews with the speed and scale of surveys, enabling product teams to gain a comprehensive understanding of their customers' needs and preferences.

Re-View is an AI-powered platform that enables users to conduct surveys that capture more than words by utilizing user-friendly video survey forms. The platform allows users to understand emotions, uncover insights, and collect more and better data through authentic emotional connections. With features like automatic insights, efficient research at scale, stunning simplicity, and powerful research capabilities, Re-View offers a practical pricing model that makes research accessible to all. Users can easily create surveys, analyze responses with AI assistance, and gain valuable research reports to support decision-making.

Langfuse is a powerful tool that helps you develop, monitor, and test your LLM applications. With Langfuse, you can: * **Develop:** Instrument your app and start ingesting traces to Langfuse, inspect and debug complex logs, and manage, version, and deploy prompts from within Langfuse. * **Monitor:** Track metrics (cost, latency, quality) and gain insights from dashboards & data exports, collect and calculate scores for your LLM completions, run model-based evaluations, collect user feedback, and manually score observations in Langfuse. * **Test:** Track and test app behaviour before deploying a new version, test expected in and output pairs and benchmark performance before deploying, and track versions and releases in your application. Langfuse is easy to get started with and offers a generous free tier. You can sign up for Langfuse Cloud or deploy Langfuse locally or on your own infrastructure. Langfuse also offers a variety of integrations to make it easy to connect to your LLM applications.

Notes on AI state of the art, with a focus on generative and large language models. These are the "raw materials" for the https://lspace.swyx.io/ newsletter. This repo used to be called https://github.com/sw-yx/prompt-eng, but was renamed because Prompt Engineering is Overhyped. This is now an AI Engineering notes repo.

Lunary is an open-source observability and prompt platform for Large Language Models (LLMs). It provides a suite of features to help AI developers take their applications into production, including analytics, monitoring, prompt templates, fine-tuning dataset creation, chat and feedback tracking, and evaluations. Lunary is designed to be usable with any model, not just OpenAI, and is easy to integrate and self-host.

Obsei is an open-source, low-code, AI powered automation tool that consists of an Observer to collect unstructured data from various sources, an Analyzer to analyze the collected data with various AI tasks, and an Informer to send analyzed data to various destinations. The tool is suitable for scheduled jobs or serverless applications as all Observers can store their state in databases. Obsei is still in alpha stage, so caution is advised when using it in production. The tool can be used for social listening, alerting/notification, automatic customer issue creation, extraction of deeper insights from feedbacks, market research, dataset creation for various AI tasks, and more based on creativity.

Deep Lake is a Database for AI powered by a storage format optimized for deep-learning applications. Deep Lake can be used for: 1. Storing data and vectors while building LLM applications 2. Managing datasets while training deep learning models Deep Lake simplifies the deployment of enterprise-grade LLM-based products by offering storage for all data types (embeddings, audio, text, videos, images, pdfs, annotations, etc.), querying and vector search, data streaming while training models at scale, data versioning and lineage, and integrations with popular tools such as LangChain, LlamaIndex, Weights & Biases, and many more. Deep Lake works with data of any size, it is serverless, and it enables you to store all of your data in your own cloud and in one place. Deep Lake is used by Intel, Bayer Radiology, Matterport, ZERO Systems, Red Cross, Yale, & Oxford.

RWKV is an RNN with Transformer-level LLM performance, which can also be directly trained like a GPT transformer (parallelizable). And it's 100% attention-free. You only need the hidden state at position t to compute the state at position t+1. You can use the "GPT" mode to quickly compute the hidden state for the "RNN" mode. So it's combining the best of RNN and transformer - **great performance, fast inference, saves VRAM, fast training, "infinite" ctx_len, and free sentence embedding** (using the final hidden state).

The LLM course is divided into three parts: 1. 🧩 **LLM Fundamentals** covers essential knowledge about mathematics, Python, and neural networks. 2. 🧑‍🔬 **The LLM Scientist** focuses on building the best possible LLMs using the latest techniques. 3. 👷 **The LLM Engineer** focuses on creating LLM-based applications and deploying them. For an interactive version of this course, I created two **LLM assistants** that will answer questions and test your knowledge in a personalized way: * 🤗 **HuggingChat Assistant**: Free version using Mixtral-8x7B. * 🤖 **ChatGPT Assistant**: Requires a premium account. ## 📝 Notebooks A list of notebooks and articles related to large language models. ### Tools | Notebook | Description | Notebook | |----------|-------------|----------| | 🧐 LLM AutoEval | Automatically evaluate your LLMs using RunPod |  | | 🥱 LazyMergekit | Easily merge models using MergeKit in one click. |  | | 🦎 LazyAxolotl | Fine-tune models in the cloud using Axolotl in one click. |  | | ⚡ AutoQuant | Quantize LLMs in GGUF, GPTQ, EXL2, AWQ, and HQQ formats in one click. |  | | 🌳 Model Family Tree | Visualize the family tree of merged models. |  | | 🚀 ZeroSpace | Automatically create a Gradio chat interface using a free ZeroGPU. |  |

LLM-PowerHouse is a comprehensive and curated guide designed to empower developers, researchers, and enthusiasts to harness the true capabilities of Large Language Models (LLMs) and build intelligent applications that push the boundaries of natural language understanding. This GitHub repository provides in-depth articles, codebase mastery, LLM PlayLab, and resources for cost analysis and network visualization. It covers various aspects of LLMs, including NLP, models, training, evaluation metrics, open LLMs, and more. The repository also includes a collection of code examples and tutorials to help users build and deploy LLM-based applications.

TypeChat.NET is a framework that provides cross-platform libraries for building natural language interfaces with language models using strong types, type validation, and simple type-safe programs. It translates user intent into strongly typed objects and JSON programs, with support for schema export, extensibility, and common scenarios. The framework is actively developed with frequent updates, evolving based on exploration and feedback. It consists of assemblies for translating user intent, synthesizing JSON programs, and integrating with Microsoft Semantic Kernel. TypeChat.NET requires familiarity with and access to OpenAI language models for its examples and scenarios.

Proactive Agent is a project aimed at constructing a fully active agent that can anticipate user's requirements and offer assistance without explicit requests. It includes a data collection and generation pipeline, automatic evaluator, and training agent. The project provides datasets, evaluation scripts, and prompts to finetune LLM for proactive agent. Features include environment sensing, assistance annotation, dynamic data generation, and construction pipeline with a high F1 score on the test set. The project is intended for coding, writing, and daily life scenarios, distributed under Apache License 2.0.

Log10 is a one-line Python integration to manage your LLM data. It helps you log both closed and open-source LLM calls, compare and identify the best models and prompts, store feedback for fine-tuning, collect performance metrics such as latency and usage, and perform analytics and monitor compliance for LLM powered applications. Log10 offers various integration methods, including a python LLM library wrapper, the Log10 LLM abstraction, and callbacks, to facilitate its use in both existing production environments and new projects. Pick the one that works best for you. Log10 also provides a copilot that can help you with suggestions on how to optimize your prompt, and a feedback feature that allows you to add feedback to your completions. Additionally, Log10 provides prompt provenance, session tracking and call stack functionality to help debug prompt chains. With Log10, you can use your data and feedback from users to fine-tune custom models with RLHF, and build and deploy more reliable, accurate and efficient self-hosted models. Log10 also supports collaboration, allowing you to create flexible groups to share and collaborate over all of the above features.

Mosec is a high-performance and flexible model serving framework for building ML model-enabled backend and microservices. It bridges the gap between any machine learning models you just trained and the efficient online service API. * **Highly performant** : web layer and task coordination built with Rust 🦀, which offers blazing speed in addition to efficient CPU utilization powered by async I/O * **Ease of use** : user interface purely in Python 🐍, by which users can serve their models in an ML framework-agnostic manner using the same code as they do for offline testing * **Dynamic batching** : aggregate requests from different users for batched inference and distribute results back * **Pipelined stages** : spawn multiple processes for pipelined stages to handle CPU/GPU/IO mixed workloads * **Cloud friendly** : designed to run in the cloud, with the model warmup, graceful shutdown, and Prometheus monitoring metrics, easily managed by Kubernetes or any container orchestration systems * **Do one thing well** : focus on the online serving part, users can pay attention to the model optimization and business logic

Slurm-web is an open source web dashboard designed for Slurm based HPC clusters. It provides a graphical user interface to track jobs, insights, and visualizations for monitoring HPC supercomputers. The tool offers features like interactive charts, job filtering, live status updates, node visualization, RBAC permissions, LDAP authentication, and integration with Prometheus for metrics collection.

STORM is a LLM system that writes Wikipedia-like articles from scratch based on Internet search. While the system cannot produce publication-ready articles that often require a significant number of edits, experienced Wikipedia editors have found it helpful in their pre-writing stage. **Try out our [live research preview](https://storm.genie.stanford.edu/) to see how STORM can help your knowledge exploration journey and please provide feedback to help us improve the system 🙏!**

Enhances user experience through rigorous usability testing and feedback.

A GPT/AI system designed to collect, analyze, and summarize recent news from established media outlets, emphasizing balance in perspectives and precision in content delivery, with a default focus on top breaking news stories, adaptable to user-specified topics.

Data Privacy for Social Media Companies & Platforms collect detailed personal information, preferences, and interactions of users, making it essential to have strong data privacy policies and practices in place.

Efficiently collects and confirms user's sales lead requirements.

Expert in collectible valuation with real-time market data insights.

Collect & Explore Timelocked Bitcoins

I know so many quotes... You should collect them and save them as a GIF...

Insurance providers collect and process personal health, financial, and property information, making it crucial to implement comprehensive data protection strategies.

Spa and Beauty Salons collect Customer inforation, including personal details and treatment records, necessitating a high level of confidentiality and data protection.

Public transport authorities collect data on travel patterns, fares, and sometimes personal details of passengers, necessitating strong privacy measures.

Fitness and Wellness Centers collect personal health and fitness data of their clients, including potentially sensitive health metrics, requiring careful handling and protection of this data.

Language and Skill Training Centers collect personal information of learners, including progress tracking and sometimes payment details.

Supercharge your personal knowledge management journey by using a highlight capturing service (such as Readwise) and then turning those highlights into useful knowledge assets. Examples include flash cards, research abstracts or articles based off the highlights you collect and choose to combine.

Travel and Hospitality Industry. Hotels, Airlines, and Travel Agencies collect personal information like travel histories, passport details, and payment information, necessitating robust privacy and security measures.

I'm designed to help You analyze any logs like Linux system logs, Windows logs, any security logs, access logs, error logs, etc. Please do not share information that You would like to keep private. The author does not collect or process any personal data.

Provides info on Webform pooling (beta).

Facilitates customer satisfaction through effective feedback management.

What Are They Thinking?

Free, beautiful, and AI-generated product surveys

Assistente de atendimento de vendas da IntegraVoip, especializado em fornecer suporte inicial e coletar informações essenciais dos clientes durante o processo de venda consultiva.