Best AI tools for< Survey Researcher >

CloudResearch is an online platform that offers tools for online research and participant recruitment. It provides academic and market researchers with immediate access to millions of diverse, high-quality respondents worldwide. The platform is designed to help researchers recruit vetted online participants, manage complex research projects, and elevate data quality. CloudResearch also offers AI-powered solutions for survey research, participant engagement, and data quality assurance.

Vestmik.eu is an AI tool designed for conducting development conversations, surveys, and questionnaires in organizations. It offers a comprehensive solution for companies, institutions, and organizations operating within the public sector. The platform allows users to create customized questionnaires tailored to their organization's specific needs, either manually or with the assistance of an AI assistant. Additionally, Vestmik.eu provides features for conducting internal and public surveys, as well as guided conversation processes for performance reviews. The tool aims to enhance organizational culture and streamline communication processes through its user-friendly interface and advanced functionalities.

Fillout is an AI-powered form builder that allows users to create powerful forms, surveys, and quizzes that their audience will enjoy answering. It is designed to be easy to use, with a drag-and-drop interface and a variety of templates to choose from. Fillout also integrates with a variety of other tools, such as Airtable, Salesforce, and Google Sheets, making it a versatile option for businesses of all sizes.

Vocads is a conversational voice AI platform that reinvents the survey experience. It allows companies to collect richer data, improve their strategy, and retain clients through voice surveys. Vocads also provides employee voice surveys to engage employees, improve management, and upgrade company culture. The platform is easy to use with its no-code design, allowing users to create voice surveys from scratch instinctively and save templates for reuse. Vocads is GDPR compliant and offers data sovereignty, giving brands full control over their data.

CrowdPrisma is an AI-powered survey analysis tool that revolutionizes the way insights are extracted from free-text responses. It utilizes a cutting-edge TextEngine to automatically group responses into coherent themes and topics, providing users with quantitative insights in minutes. The platform offers an interactive dashboard for in-depth data exploration, multilingual support, and fair billing practices. CrowdPrisma is ideal for market research, customer experience analysis, human resources investigations, policy research, and more.

SurveyLoom is an AI-powered survey creation tool that simplifies the process of creating, distributing, and analyzing surveys. With intuitive survey building features, real-time analytics, customizable templates, and advanced AI insights, SurveyLoom offers a comprehensive solution for businesses and individuals to gather valuable feedback. The platform also provides team collaboration capabilities, dedicated support, and data security measures to ensure a seamless survey experience.

Outset is an AI-powered research platform that enables users to conduct and synthesize video, audio, and text conversations with hundreds of participants at once. It uses AI to moderate conversations, identify common themes, tag relevant conversations, and pull out powerful quotes. Outset is designed to help researchers understand the 'why' behind answers and gain deeper insights into the people they serve.

Simulai is an open-source conversational form builder that allows users to create interactive surveys and forms that feel like natural conversations. It is inspired by the simplicity of Notion and is completely free to use. With Simulai, users can easily add logic, choose from a list of templates, and host their forms on their own servers or use Simulai's free cloud hosting services.

Roundtable is an AI-assisted data cleaning tool designed for enterprise survey programming. It offers an easy-to-integrate API for cleaning open-ended survey responses, saving up to 70% of time. The tool uses real-time behavioral tracking to detect unnatural typing and programmatic entries, and it provides multilingual functionality for deploying studies to various markets. Roundtable also features GPT detection to identify bots and participants, dynamic clustering to group duplicate responses, and programmatic pre-screening to auto-reject low-quality participants. The tool is trusted by leaders and innovators for improving data quality efforts and providing reliable human-generated insights.

Surveyed.live is an AI-powered video survey platform that allows businesses to collect feedback and insights from customers through customizable survey templates. The platform offers features such as video surveys, AI touch response, comprehensible dashboard, Chrome extension, actionable insights, integration, predefined library, appealing survey creation, customer experience statistics, and more. Surveyed.live helps businesses enhance customer satisfaction, improve decision-making, and drive business growth by leveraging AI technology for video reviews and surveys. The platform caters to various industries including hospitality, healthcare, education, customer service, delivery services, and more, providing a versatile solution for optimizing customer relationships and improving overall business performance.

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.

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.

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.

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.

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.

Holler is an AI-powered survey tool that helps businesses collect feedback and gain insights from their customers. It is designed to be simple and easy to use, with a variety of features that make it a powerful tool for businesses of all sizes. Holler can be used to collect feedback on a variety of topics, including customer satisfaction, product development, and employee engagement. The AI-powered insights engine can help businesses identify trends and patterns in the data, and make recommendations for how to improve their products and services.

Raay is an AI-powered forms and surveys platform that helps users create, share, run, and analyze data. It offers a range of features including highly integrable forms, bias detection, and meaningful insights. Raay's affordable pricing plans make it accessible to users of all levels.

Voicepanel is an AI-powered platform that helps businesses gather detailed feedback from their customers at unprecedented speed and scale. It uses AI to recruit target audiences, conduct interviews over voice or video, and synthesize actionable insights instantly. Voicepanel's platform is easy to use and can be set up in minutes. It offers a variety of features, including AI interviewing, AI recruiting, and AI synthesis. Voicepanel is a valuable tool for businesses that want to gain a deeper understanding of their customers and make better decisions.

Zonka Feedback is a powerful Customer Feedback and Survey Platform that offers User Segmentation for precise targeting, AI capabilities for smarter surveys, and a wide range of features to measure and improve Customer Experience. It provides solutions for various industries and use cases, integrates with popular tools, and offers in-depth reporting and analytics. Zonka Feedback is known for its modern-looking surveys, ease of use, and extensive integrations, making it a versatile tool for collecting feedback from customers, users, visitors, patients, and employees.

Dezan AI is a DIY data collection and analysis platform powered by AI, designed to help users generate surveys in seconds. The platform allows users to set survey goals, craft surveys, and collect real-time data from interest-based respondents worldwide. Dezan AI offers various survey templates, question types, and data analysis features to streamline the survey creation process. With a focus on interest targeting, the platform ensures reaching the right audience for data collection campaigns. Users can enhance their surveys with AI suggestions and deploy campaigns through Google Ads for targeted audience engagement.

Autonomous agents are designed to achieve specific objectives through self-guided instructions. With the emergence and growth of large language models (LLMs), there is a growing trend in utilizing LLMs as fundamental controllers for these autonomous agents. This repository conducts a comprehensive survey study on the construction, application, and evaluation of LLM-based autonomous agents. It explores essential components of AI agents, application domains in natural sciences, social sciences, and engineering, and evaluation strategies. The survey aims to be a resource for researchers and practitioners in this rapidly evolving field.

This repository, Awesome-LLM-Survey, serves as a comprehensive collection of surveys related to Large Language Models (LLM). It covers various aspects of LLM, including instruction tuning, human alignment, LLM agents, hallucination, multi-modal capabilities, and more. Researchers are encouraged to contribute by updating information on their papers to benefit the LLM survey community.

This repository provides a systematic and comprehensive review of efficient LLMs research. We organize the literature in a taxonomy consisting of three main categories, covering distinct yet interconnected efficient LLMs topics from **model-centric** , **data-centric** , and **framework-centric** perspective, respectively. We hope our survey and this GitHub repository can serve as valuable resources to help researchers and practitioners gain a systematic understanding of the research developments in efficient LLMs and inspire them to contribute to this important and exciting field.

This repository contains a collection of papers related to tool learning with large language models (LLMs). The papers are organized according to the survey paper 'Tool Learning with Large Language Models: A Survey'. The survey focuses on the benefits and implementation of tool learning with LLMs, covering aspects such as task planning, tool selection, tool calling, response generation, benchmarks, evaluation, challenges, and future directions in the field. It aims to provide a comprehensive understanding of tool learning with LLMs and inspire further exploration in this emerging area.

This repository provides a comprehensive list of academic papers, articles, tutorials, slides, and projects related to Large Language Model (LLM) systems. It covers various aspects of LLM research, including pre-training, serving, system efficiency optimization, multi-model systems, image generation systems, LLM applications in systems, ML systems, survey papers, LLM benchmarks and leaderboards, and other relevant resources. The repository is regularly updated to include the latest developments in this rapidly evolving field, making it a valuable resource for researchers, practitioners, and anyone interested in staying abreast of the advancements in LLM technology.

Awesome-AI-Agents is a curated list of projects, frameworks, benchmarks, platforms, and related resources focused on autonomous AI agents powered by Large Language Models (LLMs). The repository showcases a wide range of applications, multi-agent task solver projects, agent society simulations, and advanced components for building and customizing AI agents. It also includes frameworks for orchestrating role-playing, evaluating LLM-as-Agent performance, and connecting LLMs with real-world applications through platforms and APIs. Additionally, the repository features surveys, paper lists, and blogs related to LLM-based autonomous agents, making it a valuable resource for researchers, developers, and enthusiasts in the field of AI.

Speech Trident is a repository focusing on speech/audio large language models, covering representation learning, neural codec, and language models. It explores speech representation models, speech neural codec models, and speech large language models. The repository includes contributions from various researchers and provides a comprehensive list of speech/audio language models, representation models, and codec models.

Efficient Foundation Model Survey is a comprehensive analysis of resource-efficient large language models (LLMs) and multimodal foundation models. The survey covers algorithmic and systemic innovations to support the growth of large models in a scalable and environmentally sustainable way. It explores cutting-edge model architectures, training/serving algorithms, and practical system designs. The goal is to provide insights on tackling resource challenges posed by large foundation models and inspire future breakthroughs in the field.

This repository compiles a list of academic papers that evaluate, align, simulate, and provide surveys or perspectives on the use of Large Language Models (LLMs) in the field of Social Science. The papers cover various aspects of LLM research, including assessing their alignment with human values, evaluating their capabilities in tasks such as opinion formation and moral reasoning, and exploring their potential for simulating social interactions and addressing issues in diverse fields of Social Science. The repository aims to provide a comprehensive resource for researchers and practitioners interested in the intersection of LLMs and Social Science.

This repository, Awesome-LLM-RAG, aims to record advanced papers on Retrieval Augmented Generation (RAG) in Large Language Models (LLMs). It serves as a resource hub for researchers interested in promoting their work related to LLM RAG by updating paper information through pull requests. The repository covers various topics such as workshops, tutorials, papers, surveys, benchmarks, retrieval-enhanced LLMs, RAG instruction tuning, RAG in-context learning, RAG embeddings, RAG simulators, RAG search, RAG long-text and memory, RAG evaluation, RAG optimization, and RAG applications.

Efficient Multimodal Large Language Models: A Survey provides a comprehensive review of efficient and lightweight Multimodal Large Language Models (MLLMs), focusing on model size reduction and cost efficiency for edge computing scenarios. The survey covers the timeline of efficient MLLMs, research on efficient structures and strategies, and applications. It discusses current limitations and future directions in efficient MLLM research.

Academic_LLM_Sec_Papers is a curated collection of academic papers related to LLM Security Application. The repository includes papers sorted by conference name and published year, covering topics such as large language models for blockchain security, software engineering, machine learning, and more. Developers and researchers are welcome to contribute additional published papers to the list. The repository also provides information on listed conferences and journals related to security, networking, software engineering, and cryptography. The papers cover a wide range of topics including privacy risks, ethical concerns, vulnerabilities, threat modeling, code analysis, fuzzing, and more.

Scientific Large Language Models (Sci-LLMs) is a repository that collects papers on scientific large language models, focusing on biology and chemistry domains. It includes textual, molecular, protein, and genomic languages, as well as multimodal language. The repository covers various large language models for tasks such as molecule property prediction, interaction prediction, protein sequence representation, protein sequence generation/design, DNA-protein interaction prediction, and RNA prediction. It also provides datasets and benchmarks for evaluating these models. The repository aims to facilitate research and development in the field of scientific language modeling.

The 'llm-misinformation-survey' repository is dedicated to the survey on combating misinformation in the age of Large Language Models (LLMs). It explores the opportunities and challenges of utilizing LLMs to combat misinformation, providing insights into the history of combating misinformation, current efforts, and future outlook. The repository serves as a resource hub for the initiative 'LLMs Meet Misinformation' and welcomes contributions of relevant research papers and resources. The goal is to facilitate interdisciplinary efforts in combating LLM-generated misinformation and promoting the responsible use of LLMs in fighting misinformation.

Efficient Multimodal Large Language Models: A Survey provides a comprehensive review of efficient and lightweight Multimodal Large Language Models (MLLMs), focusing on model size reduction and cost efficiency for edge computing scenarios. The survey covers the timeline of efficient MLLMs, research on efficient structures and strategies, and their applications, while also discussing current limitations and future directions.

Cool-GenAI-Fashion-Papers is a curated list of resources related to GenAI-Fashion, including papers, workshops, companies, and products. It covers a wide range of topics such as fashion design synthesis, outfit recommendation, fashion knowledge extraction, trend analysis, and more. The repository provides valuable insights and resources for researchers, industry professionals, and enthusiasts interested in the intersection of AI and fashion.

This repository is an updating survey for Continual Learning of Large Language Models (CL-LLMs), providing a comprehensive overview of various aspects related to the continual learning of large language models. It covers topics such as continual pre-training, domain-adaptive pre-training, continual fine-tuning, model refinement, model alignment, multimodal LLMs, and miscellaneous aspects. The survey includes a collection of relevant papers, each focusing on different areas within the field of continual learning of large language models.

Knowledge Conflicts for LLMs: A Survey is a repository containing a survey paper that investigates three types of knowledge conflicts: context-memory conflict, inter-context conflict, and intra-memory conflict within Large Language Models (LLMs). The survey reviews the causes, behaviors, and possible solutions to these conflicts, providing a comprehensive analysis of the literature in this area. The repository includes detailed information on the types of conflicts, their causes, behavior analysis, and mitigating solutions, offering insights into how conflicting knowledge affects LLMs and how to address these conflicts.

The Next-Generation LLM-based Recommender Systems Survey is a comprehensive overview of the latest advancements in recommender systems leveraging Large Language Models (LLMs). The survey covers various paradigms, approaches, and applications of LLMs in recommendation tasks, including generative and non-generative models, multimodal recommendations, personalized explanations, and industrial deployment. It discusses the comparison with existing surveys, different paradigms, and specific works in the field. The survey also addresses challenges and future directions in the domain of LLM-based recommender systems.

What Are They Thinking?

Expert in creating surveys for causal experimentation.

Helps you write market research briefs and survey questions.

Free to use oracle for analyzing Net Promoter Score data.

Free, beautiful, and AI-generated product surveys

This GPT is a researcher that has deep understanding about the area of PUBLIC PARTICIPATION and related topics such as sociology and, human geography and politology.

Expert in marketing research, with a clever twist on its origins.

พัฒนากระบวนการคิดทางสังคมศาสตร์ที่ลึกขึ้นไปอีกขั้นด้วยบทสนทนา และคำถาม

Expert at crafting engaging questions like Rob Fitzpatrick

Expert in biostatistics, psychometrics, and general statistical analysis.

Teaches and analyzes research methods with in-depth, academic insights.

Your go-to guide for insightful, creative, and practical research assistance.

这是一个spss工具助手，主要用来解决spss相关的问题

10 simple questions to get a small business owner's opinion on AI and AI tools.

Survey Creator

Build beautiful forms and surveys for free. Analyze the submission data to uncover insights.

ChatPaper作者维护的GPTs

The buddy that helps you with all things Drones. While I'm nicer than most humans, I'm still a bot, so double check my answers

Explains SAR technology for elevation monitoring.

A coach to assist community visioning processes.