Best AI tools for< Analyze Feedback Data >

Feedback Navigator is an AI-powered platform designed to help businesses analyze and extract valuable insights from customer feedback data. It offers features such as sentiment analysis, request detection, custom workflows, and the ability to import feedback from various sources. The platform aims to streamline the process of gathering and understanding customer feedback to empower businesses in making informed decisions and enhancing customer satisfaction.

Feedbase is an AI-powered dashboard tool designed to help businesses listen to customer feedback, learn from it, and level up their operations. It offers easy integration through a simple script or widget, providing insights and analytics on customer feedback. With pricing plans catering to startups and businesses of all sizes, Feedbase aims to make customer feedback management simple and effective.

Eclipse AI is an AI-powered customer feedback analytics platform that seamlessly collects and unifies customer feedback from various channels. It provides actionable insights to improve customer experience by analyzing data and predicting customer behavior. Eclipse AI helps organizations save time on manual analysis, boost customer loyalty, and achieve measurable improvements in CX metrics. With features like integrating feedback channels, generating insights, and linking feedback to KPIs, Eclipse AI is a valuable tool for customer-focused organizations.

Lancey is an AI tool designed for product teams to operate faster by leveraging customer feedback. It acts as an autonomous AI Product Manager, helping teams stay close to customers and build the right products efficiently. Lancey automates the processing of feedback data, provides product insights, and facilitates actions based on feedback, ultimately improving product decisions and customer satisfaction.

Feedback is an AI-powered platform designed to unlock unparalleled insights from customer feedback for businesses, particularly in the hotel industry. The platform offers comprehensive hotel analysis and trend discovery through AI-driven review analysis, helping businesses cut costs while improving customer satisfaction. Feedback provides interactive AI conversations, automated personalized responses, and advanced competitive analysis to enhance service quality, communication efficiency, and strategic advantage. With Feedback, businesses can transform customer reviews into actionable information, elevate customer experiences, and drive business growth through smart data-driven strategies.

Deepform is a customer feedback portal software that allows software teams to capture, organize, and analyze product feedback in one place. It helps teams build products that their customers love by providing a platform for customers to share ideas, vote on features, and engage in discussions.

Groupt is an AI-powered data categorization and analytics application that simplifies the process of transforming complex arrays of qualitative data into clear, actionable insights for enhanced decision-making. Users can upload CSV files containing data such as user feedback, survey responses, or any qualitative data to receive visualizations of response groupings, categories, and more. The application offers high accuracy and reliability in categorizing data, with a user-friendly interface and transparent pricing options.

Viable is an AI-driven platform that provides actionable insights from qualitative data. It effortlessly transforms raw data into valuable information using AI technology. The platform offers integrations with various tech stacks and transparent pricing options to meet user requirements. Viable is designed to help businesses improve customer experience, boost employee engagement, enhance marketing strategies, prioritize product management actions, and conduct efficient research with the help of AI.

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.

CustomerIQ is an AI platform that automatically discovers and quantifies themes across customer feedback channels like calls, surveys, tickets, and transcripts. It aggregates customer feedback, extracts and categorizes feature requests, pain points, preferences, and highlights related to customers. The platform helps align teams, prioritize work, and build a customer-obsessed culture. CustomerIQ accelerates development by scoping project requirements faster and providing actionable insights backed with context.

Wizu is an AI-powered conversational survey platform that revolutionizes customer feedback collection. By leveraging artificial intelligence, Wizu offers insightful and actionable feedback through intelligent follow-up questions, enhanced engagement, and quality insights. The platform balances quantitative and qualitative feedback, providing users with a new approach to enhancing customer feedback. Wizu also offers AI-driven data analysis, transforming raw feedback into compelling stories and actionable intelligence, ultimately helping businesses make informed decisions and strategic improvements.

Rargus is a generative AI tool that specializes in turning customer feedback into actionable insights for businesses. By collecting feedback from various channels and utilizing custom AI analysis, Rargus helps businesses understand customer needs and improve product development. The tool enables users to compile and analyze feedback efficiently, leading to data-driven decision-making and successful product launches. Rargus also offers solutions for consumer insights, product management, and product marketing, helping businesses enhance customer satisfaction and drive growth.

Thematic is an AI-powered platform that transforms noisy feedback into accurate and layered insights. It empowers users with the understanding to be customer-led and saves time by providing specific insights in seconds. Thematic offers powerful analytics and visualizations, coversational analytics, and intelligence from every interaction. The platform allows users to connect and combine feedback from various sources, tag and theme feedback with AI, and analyze feedback through filters like product, channel, region, theme, sentiment, or date. Thematic is a trustworthy tool for customer feedback analysis, used by insights analysts, researchers, and product managers to improve customer experiences, usage, and profitability.

Askaiform is an AI tool that simplifies the process of creating instant feedback questions from product descriptions. It offers a streamlined solution for generating customized feedback forms effortlessly. With features like analytics, summarization, sentiment analysis, and customizable form creation, Askaiform empowers users to capture and analyze responses effectively. The platform supports multiple languages for form generation and analysis, and provides options to export data in formats like CSV and Excel, enhancing usability and accessibility for diverse user bases.

COHEZION is a Community Data Platform designed for gaming communities to increase player LTV and engagement through data-driven decisions. It offers AI-guided bug reporting and feedback workflows, as well as direct project management integration. By leveraging AI technology, COHEZION helps product and operations teams save time and make informed decisions based on insights extracted from bug reports, feedback, and community-generated content.

SurveyMonkey is a popular free online survey tool that offers a wide range of features to help users create, distribute, and analyze surveys. With integrations, customizable forms, AI-powered survey creation, and market research solutions, SurveyMonkey caters to various industries and roles. It provides templates for different use cases like customer satisfaction, employee feedback, and event registration. The platform also offers resources, blog posts, and customer success stories to guide users in maximizing the benefits of survey data.

Anecdote is a customer feedback analytics hub that leverages automated AI tagging and precision NLP clustering to help businesses uncover product insights, detect bugs, analyze competitor feedback, and provide real-time feedback alerts. The platform offers semantic search, survey analysis, and integrates with over 65 sources to deliver accurate clusters from customer feedback. Anecdote is used by top customer-centric companies to save time, improve customer experiences, and track feedback in multiple languages securely.

FeedbackApp is a simple yet powerful tool that helps you gather customer feedback from your website or project effortlessly. Target users and understand your customers better to make great data-driven decisions. Stop critical issues quickly. Gather feedback from your users and understand their pain points before they become public-facing criticisms, all while fueling growth and customer satisfaction.

Painboard is a customer feedback analysis tool designed to help businesses uncover and prioritize customer pain points. It automatically summarizes, groups, and sorts customer feedback, allowing users to focus on the most important aspects. With features like original quote display, customizable grouping, and Zapier support, Painboard streamlines the process of extracting valuable insights from customer reviews. By simplifying the task of analyzing large volumes of feedback, Painboard enables businesses to make informed decisions and improve customer satisfaction.

BabblerAI is an advanced artificial intelligence tool designed to assist businesses in analyzing and extracting valuable insights from large volumes of text data. The application utilizes natural language processing and machine learning algorithms to provide users with actionable intelligence and automate the process of information extraction. With BabblerAI, users can streamline their data analysis workflows, uncover trends and patterns, and make data-driven decisions with confidence. The tool is user-friendly and offers a range of features to enhance productivity and efficiency in data analysis tasks.

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.

ChatGPT is a large language model that can generate human-like text, translate languages, write different kinds of creative content, and answer your questions in a conversational way. It is trained on a massive amount of text data, and it is able to understand and respond to a wide range of natural language prompts. Here are 5 jobs suitable for this tool, in lowercase letters: 1. content writer 2. chatbot assistant 3. language translator 4. creative writer 5. researcher

Lector is a text analysis tool that helps users extract insights from unstructured text data. It provides functionalities such as sentiment analysis, keyword extraction, entity recognition, and text summarization. With Lector, users can easily analyze large volumes of text data to uncover patterns, trends, and valuable information. The tool is designed to be user-friendly and efficient, making it suitable for both beginners and experienced users in the field of natural language processing and text mining.

CometLLM is a tool to log and visualize your LLM prompts and chains. Use CometLLM to identify effective prompt strategies, streamline your troubleshooting, and ensure reproducible workflows!

LazyLLM is a low-code development tool for building complex AI applications with multiple agents. It assists developers in building AI applications at a low cost and continuously optimizing their performance. The tool provides a convenient workflow for application development and offers standard processes and tools for various stages of application development. Users can quickly prototype applications with LazyLLM, analyze bad cases with scenario task data, and iteratively optimize key components to enhance the overall application performance. LazyLLM aims to simplify the AI application development process and provide flexibility for both beginners and experts to create high-quality applications.

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. |  |

Data-Juicer is a one-stop data processing system to make data higher-quality, juicier, and more digestible for LLMs. It is a systematic & reusable library of 80+ core OPs, 20+ reusable config recipes, and 20+ feature-rich dedicated toolkits, designed to function independently of specific LLM datasets and processing pipelines. Data-Juicer allows detailed data analyses with an automated report generation feature for a deeper understanding of your dataset. Coupled with multi-dimension automatic evaluation capabilities, it supports a timely feedback loop at multiple stages in the LLM development process. Data-Juicer offers tens of pre-built data processing recipes for pre-training, fine-tuning, en, zh, and more scenarios. It provides a speedy data processing pipeline requiring less memory and CPU usage, optimized for maximum productivity. Data-Juicer is flexible & extensible, accommodating most types of data formats and allowing flexible combinations of OPs. It is designed for simplicity, with comprehensive documentation, easy start guides and demo configs, and intuitive configuration with simple adding/removing OPs from existing configs.

MAVIS (Math Visual Intelligent System) is an AI-driven application that allows users to analyze visual data such as images and generate interactive answers based on them. It can perform complex mathematical calculations, solve programming tasks, and create professional graphics. MAVIS supports Python for coding and frameworks like Matplotlib, Plotly, Seaborn, Altair, NumPy, Math, SymPy, and Pandas. It is designed to make projects more efficient and professional.

Digma is a Continuous Feedback platform that provides code-level insights related to performance, errors, and usage during development. It empowers developers to own their code all the way to production, improving code quality and preventing critical issues. Digma integrates with OpenTelemetry traces and metrics to generate insights in the IDE, helping developers analyze code scalability, bottlenecks, errors, and usage patterns.

Phoenix is a tool that provides MLOps and LLMOps insights at lightning speed with zero-config observability. It offers a notebook-first experience for monitoring models and LLM Applications by providing LLM Traces, LLM Evals, Embedding Analysis, RAG Analysis, and Structured Data Analysis. Users can trace through the execution of LLM Applications, evaluate generative models, explore embedding point-clouds, visualize generative application's search and retrieval process, and statistically analyze structured data. Phoenix is designed to help users troubleshoot problems related to retrieval, tool execution, relevance, toxicity, drift, and performance degradation.

Langtrace is an open source observability software that lets you capture, debug, and analyze traces and metrics from all your applications that leverage LLM APIs, Vector Databases, and LLM-based Frameworks. It supports Open Telemetry Standards (OTEL), and the traces generated adhere to these standards. Langtrace offers both a managed SaaS version (Langtrace Cloud) and a self-hosted option. The SDKs for both Typescript/Javascript and Python are available, making it easy to integrate Langtrace into your applications. Langtrace automatically captures traces from various vendors, including OpenAI, Anthropic, Azure OpenAI, Langchain, LlamaIndex, Pinecone, and ChromaDB.

DataLine is an AI-driven data analysis and visualization tool designed for technical and non-technical users to explore data quickly. It offers privacy-focused data storage on the user's device, supports various data sources, generates charts, executes queries, and facilitates report building. The tool aims to speed up data analysis tasks for businesses and individuals by providing a user-friendly interface and natural language querying capabilities.

AI Audio Datasets List (AI-ADL) is a comprehensive collection of datasets consisting of speech, music, and sound effects, used for Generative AI, AIGC, AI model training, and audio applications. It includes datasets for speech recognition, speech synthesis, music information retrieval, music generation, audio processing, sound synthesis, and more. The repository provides a curated list of diverse datasets suitable for various AI audio tasks.

Superflows is an open-source alternative to OpenAI's Assistant API. It allows developers to easily add an AI assistant to their software products, enabling users to ask questions in natural language and receive answers or have tasks completed by making API calls. Superflows can analyze data, create plots, answer questions based on static knowledge, and even write code. It features a developer dashboard for configuration and testing, stateful streaming API, UI components, and support for multiple LLMs. Superflows can be set up in the cloud or self-hosted, and it provides comprehensive documentation and support.

LLM Datasets is a repository containing high-quality datasets, tools, and concepts for LLM fine-tuning. It provides datasets with characteristics like accuracy, diversity, and complexity to train large language models for various tasks. The repository includes datasets for general-purpose, math & logic, code, conversation & role-play, and agent & function calling domains. It also offers guidance on creating high-quality datasets through data deduplication, data quality assessment, data exploration, and data generation techniques.

Facilitates customer satisfaction through effective feedback management.

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Enhanced search assistant with user feedback integration and advanced NLP.

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Keyword Extraction Tool: Efficiently extracts keywords from various texts, social media, and customer feedback with our user-friendly, scalable tool.

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What Are They Thinking?

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