Best AI tools for< Conduct Surveys >

Hubble is an all-in-one user research platform designed to help uncover meaningful insights quickly and easily. It offers a wide range of features such as in-product research, contextual surveys, prototype testing, usability tests, participant recruitment, and resources like guides, templates, and demo videos. Trusted by product and research teams in world-class organizations, Hubble provides fast, scalable insights with industry-leading coverage of task types and surveys. With AI-powered research report building, quantitative data analysis, and easy exporting capabilities, Hubble aims to streamline the user research process and drive customer-centric decision-making.

Prolific is a platform that helps users quickly find research participants they can trust. It offers free representative samples, a participant pool of domain experts, the ability to bring your own participants, and an API for integration. Prolific ensures data quality by verifying participants with bank-grade ID checks, ongoing checks to identify bots, and no AI participants. The platform allows users to easily set up accounts, access rich and comprehensive responses, and scale research projects efficiently.

Millis AI is an advanced AI tool that enables users to effortlessly create next-gen voice agents with ultra-low latency, providing a seamless and natural conversational experience. It offers affordable pricing, integration with various services through webhooks, and the ability to connect phone numbers to AI voice agents for inbound/outbound calls in over 100 countries. With Millis AI, users can build and deploy voice agents in minutes, from no-code to low-code developers, and transform voice interactions across industries.

Stormz is a brainstorming and decision-making platform that helps facilitators design workshops, conduct surveys, and use AI to enhance their brainstorming sessions. It is simple to use, even for first-time users, and allows for quick and easy access to features. Stormz is perfect for workshop lovers, facilitators, Scrum Masters, and Growth Hackers, and can be used for a variety of purposes, including brainstorming, decision-making, retrospective, and growth hacking.

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.

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.

Branded Research, acquired by Dynata, provides access to AI-verified audience insights. It offers a range of research methods, including surveys, webcam studies, and emotional AI. With its advanced algorithms and extensive profiling, Branded helps businesses connect with their target audience and gain valuable insights to drive innovation. The company serves various industries, including tech, consumer goods, healthcare, and research agencies.

WorkHack Forms is an AI-powered form builder that helps businesses create intelligent forms that ask the right questions and collect clean data. With WorkHack Forms, businesses can:

Personno.ai is an AI-driven market research platform that provides businesses with access to a pool of AI-generated respondents. These respondents are designed to mimic the behavior and characteristics of real human respondents, allowing businesses to conduct research studies quickly and cost-effectively. Personno.ai's platform includes a range of features that make it easy to create and manage research studies, including the ability to create custom audiences, conduct real-time interviews, and collect both qualitative and quantitative data.

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.

Maze is a continuous product discovery platform that enables users to enrich product decisions with intuitive user research. It offers a wide range of features such as prototype testing, website testing, surveys, interview studies, and more. With AI-powered tools and integrations with popular design tools, Maze helps users scale user insights and speed up product launches. The platform provides Enterprise-level protection, encrypted transmission, access control, data center security, GDPR compliance, SSO, and private workspaces to ensure data security and compliance. Trusted by companies of all industries and sizes, Maze empowers teams to make user-informed decisions and drive faster product iteration for a better user experience.

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.

OrgaNice is an AI-powered HR platform designed for Slack-first teams. It helps in organizing teams, engaging employees, and fostering a listening-based culture within organizations. The platform offers features such as org chart creation, tracking birthdays and anniversaries, managing time off, giving kudos, and conducting surveys. OrgaNice aims to streamline HR processes and improve employee engagement by leveraging AI technology and integrating seamlessly with Slack.

Cognitive Calls is an AI-powered platform that enables users to automate incoming and outgoing phone and web calls. It offers solutions for various industries such as customer support, appointment scheduling, technical support, real estate, hospitality, insurance, surveys, sales follow-up, recruiting, debt collection, telehealth check-ins, reminders, alerts, voice assistants, learning apps, role-playing scenarios, ecommerce, drive-through systems, automotive systems, and robotic controls. The platform aims to enhance customer interactions by providing personalized support and efficient call handling through voice AI technology.

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.

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.

Yabble is a leading AI solution for market research, offering a suite of AI tools for data creation, virtual audiences, surveys, and data analysis. Built with custom algorithms and world-class Large Language Models, Yabble provides secure and insightful answers for all stages of research. Trusted by global brands, Yabble enables users to generate deep insights quickly and efficiently, transforming the way market research is conducted.

Sereda.ai is an AI-powered platform designed to unleash a team's potential by offering solutions for employee knowledge management, surveys, performance reviews, learning, and more. It integrates artificial intelligence to streamline HR processes, improve employee engagement, and boost productivity. The platform provides a user-friendly interface, personalized settings, and automation features to enhance organizational efficiency and reduce costs.

Rival Technologies is a conversational research and insight community platform that transforms conventional surveys into conversations to provide authentic, in-the-moment insights. The platform utilizes AI capabilities for accurate data and faster insights, and offers customer success services to maximize the platform's potential. Rival focuses on security and compliance, and provides regular product updates to enhance user experience. The platform caters to various industries and offers solutions like Community 2.0, Voice of Market, and Brand Experience Predictor to meet modern market research needs.

KG-LLM-Papers is a repository that collects papers integrating knowledge graphs (KGs) and large language models (LLMs). It serves as a comprehensive resource for research on the role of KGs in the era of LLMs, covering surveys, methods, and resources related to this integration.

The Awesome-Neuro-Symbolic-Learning-with-LLM repository is a curated collection of papers and resources focusing on improving reasoning and planning capabilities of Large Language Models (LLMs) and Multi-Modal Large Language Models (MLLMs) through neuro-symbolic learning. It covers a wide range of topics such as neuro-symbolic visual reasoning, program synthesis, logical reasoning, mathematical reasoning, code generation, visual reasoning, geometric reasoning, classical planning, game AI planning, robotic planning, AI agent planning, and more. The repository provides a comprehensive overview of tutorials, workshops, talks, surveys, papers, datasets, and benchmarks related to neuro-symbolic learning with LLMs and MLLMs.

The Expected Parrot Domain-Specific Language (EDSL) package enables users to conduct computational social science and market research with AI. It facilitates designing surveys and experiments, simulating responses using large language models, and performing data labeling and other research tasks. EDSL includes built-in methods for analyzing, visualizing, and sharing research results. It is compatible with Python 3.9 - 3.11 and requires API keys for LLMs stored in a `.env` file.

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.

The LLMEvaluation repository is a comprehensive compendium of evaluation methods for Large Language Models (LLMs) and LLM-based systems. It aims to assist academics and industry professionals in creating effective evaluation suites tailored to their specific needs by reviewing industry practices for assessing LLMs and their applications. The repository covers a wide range of evaluation techniques, benchmarks, and studies related to LLMs, including areas such as embeddings, question answering, multi-turn dialogues, reasoning, multi-lingual tasks, ethical AI, biases, safe AI, code generation, summarization, software performance, agent LLM architectures, long text generation, graph understanding, and various unclassified tasks. It also includes evaluations for LLM systems in conversational systems, copilots, search and recommendation engines, task utility, and verticals like healthcare, law, science, financial, and others. The repository provides a wealth of resources for evaluating and understanding the capabilities of LLMs in different domains.

The Medical_Image_Analysis repository focuses on X-ray image-based medical report generation using large language models. It provides pre-trained models and benchmarks for CheXpert Plus dataset, context sample retrieval for X-ray report generation, and pre-training on high-definition X-ray images. The goal is to enhance diagnostic accuracy and reduce patient wait times by improving X-ray report generation through advanced AI techniques.

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This repository provides a curated list of papers, datasets, and resources related to the detection and mitigation of hallucinations in large language models (LLMs). Hallucinations refer to the generation of factually incorrect or nonsensical text by LLMs, which can be a significant challenge for their use in real-world applications. The resources in this repository aim to help researchers and practitioners better understand and address this issue.

This repository aims to promote global equality for individuals pursuing a PhD in NLP by providing resources and information on various aspects of the academic journey. It covers topics such as applying for a PhD, getting research opportunities, preparing for the job market, and succeeding in academia. The repository is actively updated and includes contributions from experts in the field.

Awesome Responsible AI is a curated list of academic research, books, code of ethics, courses, data sets, frameworks, institutes, newsletters, principles, podcasts, reports, tools, regulations, and standards related to Responsible, Trustworthy, and Human-Centered AI. It covers various concepts such as Responsible AI, Trustworthy AI, Human-Centered AI, Responsible AI frameworks, AI Governance, and more. The repository provides a comprehensive collection of resources for individuals interested in ethical, transparent, and accountable AI development and deployment.

SLMs-Survey is a comprehensive repository that includes papers and surveys on small language models. It covers topics such as technology, on-device applications, efficiency, enhancements for LLMs, and trustworthiness. The repository provides a detailed overview of existing SLMs, their architecture, enhancements, and specific applications in various domains. It also includes information on SLM deployment optimization techniques and the synergy between SLMs and LLMs.

Polis is an AI powered sentiment gathering platform that offers a more organic approach than surveys and requires less effort than focus groups. It provides a comprehensive wiki, main deployment at https://pol.is, discussions, issue tracking, and project board for users. Polis can be set up using Docker infrastructure and offers various commands for building and running containers. Users can test their instance, update the system, and deploy Polis for production. The tool also provides developer conveniences for code reloading, type checking, and database connections. Additionally, Polis supports end-to-end browser testing using Cypress and offers troubleshooting tips for common Docker and npm issues.

LLM-Agent-Survey is a comprehensive repository that provides a curated list of papers related to Large Language Model (LLM) agents. The repository categorizes papers based on LLM-Profiled Roles and includes high-quality publications from prestigious conferences and journals. It aims to offer a systematic understanding of LLM-based agents, covering topics such as tool use, planning, and feedback learning. The repository also includes unpublished papers with insightful analysis and novelty, marked for future updates. Users can explore a wide range of surveys, tool use cases, planning workflows, and benchmarks related to LLM agents.

This repository, named Awesome-Embodied-Agent-with-LLMs, is a curated list of research related to Embodied AI or agents with Large Language Models. It includes various papers, surveys, and projects focusing on topics such as self-evolving agents, advanced agent applications, LLMs with RL or world models, planning and manipulation, multi-agent learning and coordination, vision and language navigation, detection, 3D grounding, interactive embodied learning, rearrangement, benchmarks, simulators, and more. The repository provides a comprehensive collection of resources for individuals interested in exploring the intersection of embodied agents and large language models.

OpenRedTeaming is a repository focused on red teaming for generative models, specifically large language models (LLMs). The repository provides a comprehensive survey on potential attacks on GenAI and robust safeguards. It covers attack strategies, evaluation metrics, benchmarks, and defensive approaches. The repository also implements over 30 auto red teaming methods. It includes surveys, taxonomies, attack strategies, and risks related to LLMs. The goal is to understand vulnerabilities and develop defenses against adversarial attacks on large language models.

Awesome LLM Security is a curated collection of tools, documents, and projects related to Large Language Model (LLM) security. It covers various aspects of LLM security including white-box, black-box, and backdoor attacks, defense mechanisms, platform security, and surveys. The repository provides resources for researchers and practitioners interested in understanding and safeguarding LLMs against adversarial attacks. It also includes a list of tools specifically designed for testing and enhancing LLM security.

This repository is a collection of papers and resources related to Lifelong Learning of Large Language Model (LLM) based Agents. It focuses on continual learning and incremental learning of LLM agents, identifying key modules such as Perception, Memory, and Action. The repository serves as a roadmap for understanding lifelong learning in LLM agents and provides a comprehensive overview of related research and surveys.

AgentSociety is an advanced framework designed for building agents in urban simulation environments. It integrates LLMs' planning, memory, and reasoning capabilities to generate realistic behaviors. The framework supports dataset-based, text-based, and rule-based environments with interactive visualization. It includes tools for interviews, surveys, interventions, and metric recording tailored for social experimentation.

What Are They Thinking?

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.

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

พัฒนากระบวนการคิดทางสังคมศาสตร์ที่ลึกขึ้นไปอีกขั้นด้วยบทสนทนา และคำถาม

ChatPaper作者维护的GPTs

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

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

Advises on employee compensation and benefits strategies.

Enhances internal alignment through effective communication strategies.

Expert in creating surveys for causal experimentation.

Survey Creator

Expert in biostatistics, psychometrics, and general statistical analysis.

I answer queries on the MPs Code of Conduct.

Conduct Fantasy Drafts Across Multiple Sports

Conduct various flexible analyses and inquiries based on official information about companies with work visa sponsorship qualifications.

I conduct mock system design interviews.

I conduct design critiques focused on enhancing understanding and improvement.

I conduct a Turing test and try to decide if you are an AI

Ask me a question about the YPO Code of Conduct and Community Standards