Popular online survey website, surveymonkey.com, surveys, forms, quizzes, templates, AI survey building, market research, analytics, teams, pricing, and WHOIS domain data

SurveyMonkey

SurveyMonkey is a popular online survey website for creating surveys, forms, quizzes, polls, feedback programs, market research studies, templates, AI-assisted survey drafts, and response analysis.

Official site

surveymonkey.com is the main public website for SurveyMonkey.

Product focus

SurveyMonkey supports surveys, forms, quizzes, templates, AI-assisted survey building, market research, feedback collection, dashboards, and team workflows.

Plan shape

SurveyMonkey's pricing page lists free and paid plans with differences in response limits, survey features, collectors, exports, collaboration, branding, and enterprise controls.

The SurveyMonkey wordmark.View image on Wikimedia Commons

What SurveyMonkey is

SurveyMonkey is an online survey and feedback website at surveymonkey.com for creating surveys, forms, quizzes, polls, customer feedback programs, employee feedback projects, event questionnaires, and market research studies. Its official homepage presents it as a survey platform for asking questions, collecting responses, and turning feedback into decisions.

Surveys, forms, and quizzes

SurveyMonkey gives users tools for building question-based experiences without writing custom software. A team can create customer satisfaction surveys, employee engagement surveys, registration forms, academic questionnaires, product feedback forms, event follow-ups, quizzes, and public polls. The same system can collect answers through links, email, embedded collectors, or other channels.

Templates and AI help

The product page highlights templates, question types, survey logic, AI-assisted survey creation, and ways to improve survey design. These tools can help a user move from a blank page to a usable draft more quickly. They still need review because question wording, answer choices, sampling, and bias can strongly affect the quality of results.

Analysis and reporting

SurveyMonkey includes dashboards, charts, filters, exports, cross-tabs, text analysis, and sharing options depending on plan and product area. The value is not only collecting answers, but making the responses readable enough for a team to decide what to change, which audience to study next, or which follow-up questions to ask.

Market research and audience panels

Beyond self-sent surveys, SurveyMonkey offers market research and audience options for reaching respondents outside an organization's own contact list. This can help with concept testing, brand tracking, customer discovery, and product research, but it also makes sample quality, targeting, survey length, and interpretation especially important.

Who uses SurveyMonkey

SurveyMonkey is used by small businesses, enterprises, educators, nonprofits, researchers, product managers, marketers, human resources teams, customer experience teams, event organizers, government groups, and students. It is especially useful when a team needs structured feedback quickly and wants a hosted survey tool with templates, sharing, and reporting.

Pricing and plan shape

SurveyMonkey pricing separates individual, team, and enterprise needs. The detailed pricing page lists differences in response limits, forms and quizzes, skip logic, exports, branding removal, payment collection, multilingual surveys, advanced branching, integrations, admin controls, security features, and SurveyMonkey Audience access.

Why it matters

SurveyMonkey matters because many decisions depend on hearing from people at scale. A survey can test a product idea, measure customer satisfaction, collect event feedback, understand employee sentiment, or organize applications. The tool lowers the technical barrier, while the harder work remains asking clear questions and interpreting answers responsibly.

Limits and cautions

SurveyMonkey does not make every survey representative, unbiased, private, or actionable. Users still need clear consent, careful question wording, appropriate sampling, privacy review, accessibility checks, sensible response limits, secure data handling, and honest reporting about who answered and what the answers can actually prove.

WHOIS domain data

Data pulled: May 20, 2026View current WHOIS record

Domain: surveymonkey.com
IP address: 3.171.100.103
Registrar: MarkMonitor Inc.
WHOIS server: whois.markmonitor.com
Referral URL: http://www.markmonitor.com
Created: November 6, 1999
Updated: May 18, 2025
Expires: November 6, 2026
Nameservers: ns-344.awsdns-43.com (205.251.193.88); ns-588.awsdns-09.net (205.251.194.76); ns-1757.awsdns-27.co.uk (205.251.198.221); ns-1380.awsdns-44.org (205.251.197.100)
Domain status: clientDeleteProhibited; clientTransferProhibited; clientUpdateProhibited
DNSSEC: unsigned
Registrant organization: SurveyMonkey Inc.
Registrant country: US
Contact privacy: Registrant and technical email are available through MarkMonitor's request form.

Key concepts

Surveya structured set of questions used to collect responses from a target audience.
Collectora method for distributing a survey and gathering responses, such as a web link, email, or embed.
Survey logicrules that change what a respondent sees based on earlier answers.
Response analysischarts, filters, exports, and summaries used to interpret collected answers.

Main tools

Survey, form, quiz, poll, and template builders.
AI-assisted survey drafting and survey-design guidance.
Collectors, sharing links, embedded surveys, email distribution, and website feedback options.
Dashboards, charts, filters, text analysis, exports, team collaboration, and enterprise controls.

Common misconceptions

A large number of responses does not automatically mean a representative sample.
AI-generated survey drafts still need review for leading wording, missing answer choices, and privacy concerns.
Survey charts can look precise even when the sample, question wording, or audience selection is weak.
Anonymous surveys still need careful handling if free-text answers or metadata could identify someone.

Open questions

How will AI-assisted survey design change the quality of everyday feedback research?
How should teams balance quick informal surveys with more rigorous research methods?
What privacy controls will organizations need as survey data connects to more workplace and customer systems?
How can survey platforms help users recognize bias before acting on results?