8 Top SurveyMonkey Alternatives for 2025

People typically look for SurveyMonkey alternatives because:

• They want something cheaper (or free).
• They want more advanced capabilities (like being able to reuse a questionnaire multiple times at different stages of a study, without creating a new copy each time).

For some, finding an alternative is the answer. However, surveys have shortcomings:

• They reflect the questions you care about, but not necessarily the thoughts, concerns, or priorities that matter to your customers.
• Open-ended questions allow customers to freely express their thoughts, but customers often use them to highlight only the most positive or negative aspects of their experiences rather than describing everything in detail.
• Survey recipients don’t always respond, unless you’re using a paid audience.

That’s why we built Level AI, a customer experience platform that overcomes the limitations of surveys by capturing rich, contextual feedback directly from customer interactions.

Specifically, Level AI:

• Captures unfiltered customer feedback to ensure that insights are based on what matters most to customers — not just what’s asked in a survey.
• Analyzes entire conversations to uncover trends, even when customers don’t explicitly express their full experiences, providing a more complete understanding of their needs.
• Ensures 100% coverage of calls, chats, and emails without relying on survey responses.

In this article, we list eight alternatives to SurveyMonkey for:

• Everyday research needs
• Advanced market research
• Analyzing 100% of contact center interactions using Level AI

Book a free demo to see how customer experience management software can provide your team with deep insights into customer interactions.

SurveyMonkey Alternatives for Everyday Research Needs

Interested in basic survey features? Below are our top picks for platforms that offer user-friendly survey creation, data collection, and analysis tools to meet your everyday research needs.

Google Forms: A Free and Easy Survey Solution

Google offers a simple survey tool that lets you quickly get started with creating and distributing questionnaires and quizzes.

Its clean layout and intuitive process for building and customizing forms allows you to manage everything in a single editor, and is simpler and more user-friendly than SurveyMonkey, especially for basic research needs.

What does this mean? Well, for instance, SurveyMonkey still offers:

• A larger library of templates across multiple categories.
• More advanced question types and customization options.
• More advanced analytics (e.g., word clouds, trend analysis, and more).

But if those don’t really matter, continue reading!

Google Forms is part of the Google Workspace Suite of productivity tools (like Gmail, Google Drive, Google Docs, etc.), which means it seamlessly integrates with these applications, allowing you to store responses in Google Sheets, share surveys via Gmail, and collaborate in real time with teammates — all without leaving the Google ecosystem.

Simple as it may seem, Google Forms is still surprisingly capable. For example, you can create:

• Surveys to collect feedback, opinions, or information from a specific audience or set of respondents.
• Quizzes to test knowledge with different question types and automatic grading.
• Contact forms to collect contact information from website visitors.
• Registration forms to manage event registrations or sign-ups.
• Order forms to collect orders for products or services, and more.

When designing forms (which you need a Google account to create), you can choose from a variety of question types, including multiple choice, checkboxes, dropdowns, short answer, file upload, linear scale, and multiple choice grid.

It also allows you to customize the theme: you can change colors and insert a logo, images, sections, and page breaks.

Once you’ve designed your questionnaire, there are multiple ways to distribute it. You could generate a link or QR code and send these by email or post them on social media. You can also embed the form directly into an email or website.

Once responses start coming in, Google Forms offers basic data collection and analysis features. This includes automatically collecting and organizing data in Google Sheets, from which you can view summary charts and graphs within Google Forms.

There’s also a thriving marketplace for various add-ons and customization options, like designing custom menus for respondents and adding triggers for detecting events and running specified functions.

Pricing

The best thing about Google Forms is that it’s free. Although the least sophisticated of the options listed here, we recommend it to those needing a no-frills tool for basic research.

Typeform: Engage Respondents with Conversational Forms

The unique feature of Typeform is its interactive format: instead of displaying all questions at once, it presents them one at a time, creating an engaging user experience that feels like a natural discussion rather than a survey.

This "one question at a time" approach mimics a real conversation, making the process feel less like filling out a form and more like a dialog.

Typeform places a strong emphasis on design and aesthetics, with forms that are clean, modern, and visually appealing — which can help increase completion rates.

You can customize forms by adding GIFs, videos, and images, and Typeform actually offers more customization options than SurveyMonkey (e.g., customizable welcome screen and thank you pages).

Typeform also offers drag-and-drop functionality and pre-designed templates to help you quickly get started, and numerous ways to make forms more personalized to respondents.

For instance, you can customize the questions a user sees based on their previous answers using Logic Jump, another word for skip logic or conditional branching.

You can also choose from various question types, including multiple choice, short answer, picture choice, and more.

A special feature we like about Typeform is its question-by-question drop-off analysis to help you understand at what questions respondents are abandoning your forms.

Typeform offers 120 integrations with well-known tools like Google Forms, Calendly, Hubspot, Slack, and many others.

Pricing

Typeform offers two main tiers:

• A free plan for creating (and sharing) unlimited typeforms, which includes a predefined template with a limited number of responses per month. But, it allows the use of branching logic along with basic reporting and analysis metrics.
• Paid plans starting at around $30 per month for one user and 1,000 responses. You can send out an unlimited number of typeforms on this plan. You can move up from there, paying around $60 per month for up to 1,000 responses (and three users), and so forth. There’s also an enterprise plan with tailored response limits and seats.

Jotform: An All-in-One Solution for Forms and More

This is a form builder that offers features extending beyond just questionnaires, allowing you to create applications for registrations, payment forms, lead generation, and others.

The library includes over 2,000 free templates that cover a wide range of use cases, from order forms to event sign-ups and payment forms. These let you choose from a variety of questionnaire layouts like multiple questions all on one page, or a card layout featuring one question at a time à la Typeform.

The software offers conditional logic, letting you personalize forms based on user input, like showing or hiding fields, skipping pages, or other actions based on how respondents answer questions.

It supports custom CSS for detailed and highly branded stylings, allowing users to personalize form fields, widgets, positioning, and more. Additionally, Jotform offers over 70 widgets for adding elements like maps, videos, checklists, etc.

You can create applications that include capabilities like PDF editing, online payment acceptance, workflow automation, and e-signatures by using Jotform’s user-friendly drag-and-drop form builder. No programming skills required!

It also offers integrations with 700 other applications, services, and platforms, extending its functionality.

Pricing

Jotform offers both free and paid tiers. The free plan lets you create up to five forms with 100 monthly submissions — however, customization options are limited.

Paid plans start at around $40 per month per user for up to 25 forms and 1,000 monthly submissions. They offer higher plans including 100 forms with 10,000 submissions and HIPAA compliance, including an enterprise plan.

SurveySparrow: Beautiful, Chat-Like Surveys Made Simple

Like TypeForm and Jotform, SurveySparrow offers conversational surveys (one question at a time) in a chat-like format, enabling a more natural interaction, which can improve engagement and survey completion.

Similarly, the platform puts a strong emphasis on design aesthetics, offering a modern, clean, and visually appealing experience for survey creators and respondents.

The platform offers a user-friendly drag-and-drop form builder for creating surveys (from a library of over 600 templates) and its customization features are on par with SurveyMonkey’s: it allows skip logic, display logic, choice-level logic, piping, and advanced branching.

SurveySparrow lets you send out recurring surveys (e.g., for weekly or monthly feedback), which allows you to easily identify trends and track changes over time.

On the other hand, you can also decide the frequency of sending these out to reduce survey fatigue among participants, choosing to pause it for a particular period of time.

Its random question generator helps you come up with random questions for surveys and quizzes, or just to brainstorm content ideas.

The platform has special features for employees such as its 360-degree assessments, which gathers feedback from managers, peers, and subordinates to build up a comprehensive view of an individual’s performance.

Lastly, SurveySparrow offers hundreds of integrations, including numerous Zapier apps — if you’re looking for a particular integration, chances are you’ll find it.

Pricing

SurveySparrow’s free plan includes 50 responses per month for several active surveys and 10 questions per survey (per user).

For individuals, it offers paid plans starting at around $20 per month per user and allowing up to 2,500 responses per year. Its next tier is priced at around $40 per month and allows up to 15,000 per year, and from there it offers several higher levels and prices.

Its enterprise plan offers negotiable pricing and features for larger teams and organizations, starting at five users.

SurveyMonkey Alternatives for Market Research and Enterprise

For those needing scalability and features like advanced response management, our round-up below includes the best solutions (but a higher learning curve) to support larger-scale research and business needs.

Qualtrics: Beyond Surveys, End-to-End Experience Management

Qualtrics XM is an experience management platform that measures and improves customer (CX), employee (EX), product (PX), and brand experiences, providing the tools to collect, analyze, and act on data in these different areas.

The platform’s DiscoverXM module uses AI to analyze everything that customers and employees are saying, which is useful for unstructured portions of surveys where respondents answer questions in their own words.

It can also ingest data from a wide variety of sources that go beyond survey data to include social media, chat, and review sites, to allow you to gather insights from multiple channels and conversations.

Qualtrics lets you set up full-blown automated workflows initiated by preset triggers, such as specific events or schedules like survey responses or changes in CRM records, to start tasks like sending automated emails or notifications, creating support tickets, distributing surveys, and executing custom JavaScript code.

Use cases for such workflows include triggering high-priority tickets for NPS detractors or updating news feeds in real-time via APIs.

The platform also provides many ways to design and customize surveys, from adding custom CSS in forms to applying conditional logic like auto advance for automatically showing the next question without respondent interaction, like clicking a button.

You can also embed JavaScript in forms to do things like auto-select choices based on previous responses or create custom drill-down menus.

Qualtrics lets you interact with the platform (and integrate it with others) via APIs to automate survey creation, distribution, and data retrieval using programming languages like Python, Java, or Node.js.

It offers a research panel of up to 35 million participants and over 100 out-of-the-box integrations with other enterprise providers across 30 categories of software.

Pricing

Qualtrics doesn’t disclose exact pricing on their website for their XM for Customer Experience suite, but their pricing is offered in several tiers:

• Frontline Digital for digital interactions, including survey responses.
• Frontline Care for customer support interactions, survey responses, call records, chat conversations, and emails.
• Frontline Locations, which include survey responses and online reviews.

They also offer a free version of their software to try out.

Alchemer: Embed Surveys Seamlessly Across Platforms

Alchemer (formerly known as SurveyGizmo) is an experience management and survey platform offering an intuitive survey design builder that you can customize (also via HTML, CSS, and JavaScript) according to your branding.

It lets you embed surveys, prompts, and other customer interactions directly into your website or mobile app, allowing you to present a unified cross-platform look and feel.

Alchemy provides detailed data collection and lets you create personalized and engaging surveys through survey templates with 43 built-in question types — including advanced options like Max/Diff and Conjoint analysis, along with advanced skip logic, branching, and piping (for repeating previously collected data later in the survey) to show only relevant questions to respondents.

Its reporting and analysis tools allow you to create advanced reports such as TURF (total unduplicated reach and frequency) analyses, which are statistical methods helping to identify optimal combinations of products or services that maximize market reach while minimizing overlap.

The platform offers unlimited questions and responses without hidden fees for large scale market research projects and provides research panels of up to 100 million participants across 100 countries. You can also hire out a full-service research team to expand your capabilities.

Alchemer offers over 100 integrations with other market-leading platforms and applications.

Pricing

They offer an individual plan priced at around $50 per user per month (for doing polls and online surveys), and also plans of around $170 and $275 per user per month for small teams of up to three persons, with increasingly sophisticated reporting and survey features.

REDCap: A Secure Platform for Academic and Enterprise Research

Many academic institutions and enterprises use REDCap as a survey platform, which was founded by researchers at Vanderbilt University who needed a secure data collection tool that met HIPAA compliance standards.

Today, it’s a consortium of over 7,000 partners across 160 countries, and offers advanced research features like the ability to gather data from the same subjects repeatedly over a period of time (longitudinal data collection) in order to track changes and observe patterns within individuals or groups.

The platform supports multi-site, large-scale research projects to facilitate collaboration, as well as data validation for quality control and offline data collection (which can later be synced with an online server).

You can assign participants to different study groups using predefined randomization schedules and allow respondents to answer without needing to provide identifiable information.

Alongside all this, REDCap supports form customization via branching logic, calculated fields based on other responses, and file upload capabilities for respondents.

As for reporting, it allows you to generate interactive dashboards with over 40 different visualization options and real-time data exploration, as well as the ability to develop data analysis sets for applying AI and machine learning.

You can export data in Excel, PDF, and statistical packages like SPSS, SAS, Strata, and R, and the platform supports third-party integrations including API-based connections, Designer integrations, LabKey Server data imports, and more.

Pricing

REDCap is offered at no charge for non-profits, and otherwise is priced according to the needs of your project. The software is also used by corporations and academic institutions.

Level AI: Automatically Gather Data from 100% of Interactions

Level AI collects data on what your customers are perceiving and feeling directly from their interactions with your contact center, rather than through questionnaires and forms.

Our platform uses natural language understanding (NLU) and semantic intelligence to capture organic, unfiltered data from every conversation, analyzing these both in real-time and after the call to detect patterns, trends, and sentiments.

This allows it to analyze:

• The words customers use to communicate intent (whether these be complaints, compliments, or queries).
• Their tone and sentiment to detect feelings like worry, disapproval, or gratitude.
• Emotionally charged moments like escalation triggers or instances where empathy from agents is needed.
• Call drivers (e.g., billing issues, technical support, product questions) to reveal recurring themes and reasons for contact.

This approach captures what customers are naturally saying and feeling without needing them to answer structured questions. It also ensures that insights are complete, unbiased, and based on real-world interactions.

By analyzing the entire conversation, including subtle cues that surveys often miss, Level AI provides customer experience analytics solutions to improve business results.

Level AI’s Understanding of Natural Language

Level AI comprehends the meanings of words with near-human understanding, which is different from systems that use rules to detect patterns of speech or match keywords. This is because our platform uses true AI to analyze context, intent, and sentiment.

For instance, a rule-based system can be configured to detect a keyword like “return a dress” but only imperfectly grasps the full context or intent behind the statement.

Unlike AI tools for customer service, keyword-based systems cannot capture the full complexity of human language and all the different ways someone might express that a dress doesn’t fit. For instance, “it doesn't look right on me,” “it’s too baggy,” “this feels too small,” etc are all possible reasons a customer might use to express their situation.

To ensure the system detects all possible words and combinations of such words, you’d need to enter tens or perhaps hundreds of words and their combinations, and even then you’d still not be 100% sure of getting every instance of such an intent.

Being able to capture the entire picture of these meanings requires a system that analyzes not just the words themselves, but the full context, emotions, and nuances of the conversation — without relying on an exhaustive list of predefined keywords.

Our AI speech analytics includes a Scenario Engine that identifies each occurrence of intent in speech and labels it as a scenario, e.g., Billing Issue, Request for Escalation, or Making a Purchase.

The system recognizes scenarios and indicates their occurrences using conversation tags. Every such tag denotes a particular scenario or intent and a single recorded conversation might contain several such tags.

Conversation tags are especially useful for reporting, as you can search for a particular tag (e.g., Account Cancellation) and pull up curated lists of all conversations where this intent occurred.

You can also integrate conversations in Level AI’s analytics as a dimension against which you can chart other variables like CSAT or average handle time.

Our platform comes with a number of predefined scenarios, but you can also add your own by specifying typical phrases your customers would use to express such an intent. This trains our semantic intelligence model to correctly detect such phrases or similar versions of such phrases.

Identifying How Customers are Feeling

Most speech analytics software measures the direction of sentiment — often simply as a binary classification of either positive or negative, with more sophisticated versions even noting intensity, usually on a range from very negative to very positive.

Such classifications simplify detected “feelings” and lack deeper emotional context. Level AI identifies seven distinct emotions (the most of any software in our category) and tracks emotional shifts throughout.

• Anger
• Disapproval
• Disappointment
• Worry
• Happiness
• Admiration
• Gratitude

We denote occurrences of customer and agent sentiments in conversation using sentiment tags, which also allow you to filter conversations by sentiment (e.g., you can pull up all conversations where a customer expressed gratitude).

Level AI also scores conversations using an overall Sentiment Score, which quantifies the direction, intensity, and progression of customer emotions throughout the interaction, providing a clear, actionable metric to evaluate customer experiences and agent performance.

The Sentiment Score is rated on a scale from 0 to 10, where 0 represents maximally negative sentiment and 10 represents sentiment that’s maximally positive.

To generate this score, the system assigns more weight to sentiments occurring towards the end of a conversation because such feelings likelier reflect a customer’s feelings toward your brand, product, or service (especially after resolution):

Automatically Detecting Trends in Voice of the Customer

Level AI’s Voice of the Customer (VoC) Insights derives standard metrics like CSAT, NPS, and CES and uncovers emerging trends and key customer concerns by analyzing conversations at scale.

Such trends and concerns are especially useful to know since they might indicate subtle pain points, dissatisfaction, or shifting preferences that eventually lead to customer churn. Or, they may signal potential upselling opportunities or other opportunities for growth that you can proactively capitalize on.

For example, VoC Insights might detect:

• Longer-than-usual wait times in support interactions, even if customers don’t explicitly complain, signaling potential frustration and operational bottlenecks.
• Frequent product workaround discussions, indicating usability issues or feature gaps that may not yet be formally reported.
• Repeated positive mentions of a specific product feature, highlighting an opportunity to grow marketing efforts or expand that feature’s capabilities.

Our VoC data is displayed in intuitive, zero-setup dashboards allowing you to drill down by clicking data points to view relevant evidence — such as specific conversations, analyses, and trending topics — so you can quickly identify root causes and take action.

Tracking the "Why" Behind Performance to Drive Better Results

Level AI’s advanced analytics allows you to go beyond surface-level metrics and dive deep into trends and patterns by combining data from both our platform and from external sources.

Unifying data from disparate sources provides a holistic view of customer interactions, showing you root causes, helping you identify performance bottlenecks, and giving you the data necessary to improve customer experience.

Our Query Builder allows you to build a sophisticated call center analytics dashboard from not only our own data like sentiment tags, agent performance scores, and VoC metrics, but also data from your ticketing system, CRM, and workforce management:

Level AI’s advanced features also lets you integrate data from survey tools like SurveyMonkey and others, since these allow you to ask targeted questions about particular topics, products, or experiences, which may not naturally arise in customer interactions.

Level AI’s interaction data also covers only those who contacted you for some reason or other, but not from those who haven’t contacted you.

The ability to combine so many different kinds of data allows you to ask interesting questions of your customers and organization such as:

• Do certain emotions (e.g., worry or disapproval) indicate a higher likelihood of receiving negative feedback, even when customer issues are resolved?
• How does a customer's initial Sentiment Score predict their likelihood of escalating an issue or calling back?
• How does the use of empathetic language differ between high-performing agents and their peers?
• How often do customers who mention a competitor express a desire to escalate their issue or leave negative feedback?

Transform Your Feedback Strategy

Level AI reimagines your feedback strategy by analyzing 100% of customer interactions across calls, chats, and emails, uncovering hidden trends and delivering actionable insights — without relying on traditional surveys. It also enables you to follow call center quality assurance best practices.

Contact us today to learn how our customer experience solution helps you unlock deeper insights, improve satisfaction, and drive meaningful business outcomes.