Introduction
Qualtrics remains one of the most established enterprise survey platforms in the market. For many large organizations, it has long been the default choice for complex research, customer experience, employee experience, and enterprise feedback programs.
That position is well earned. Qualtrics offers deep configurability, broad methodological support, enterprise-grade administration, and a mature ecosystem. For organizations with large research operations, dedicated administrators, and highly customized workflows, it continues to be a strong fit.
Increasingly, however, buyers are asking a different question: Is Qualtrics still the best platform for how they want to conduct research going forward?
The answer depends less on feature parity than on organizational priorities.
Some companies are evaluating alternatives because Qualtrics has become too expensive relative to usage. Others want a faster, more approachable way to create and launch surveys. Many are looking for AI-native workflows that assist with survey design, fielding, analysis, and reporting, while others are consolidating tools across product research, customer research, market research, and in-product feedback.
For these organizations, the objective is not simply to find a lower-cost survey platform. It’s to adopt a platform that better reflects how enterprise research is evolving.
Research is no longer confined to centralized insights teams. Product managers, marketers, customer success leaders, research operations teams, and executives all rely on customer feedback to make decisions. At the same time, research organizations are expected to support a growing number of stakeholders without a proportional increase in headcount.
These changes have exposed the limitations of traditional survey software. A platform can offer hundreds of features and still feel slow if every study requires specialized expertise, extensive manual setup, complex administration, and time-consuming analysis. It can support sophisticated methodologies while remaining difficult for business users to adopt. And it can incorporate AI features without fundamentally changing the underlying workflow if AI is simply layered onto a legacy product.
This is why the market for Qualtrics alternatives has expanded. The strongest competitors are not trying to become smaller versions of Qualtrics. Instead, each addresses a distinct set of buyer priorities:
- Sprig is best for teams that want an AI-native enterprise survey platform built around faster research design, distribution, and analysis.
- SurveyMonkey Enterprise is best for organizations that want broad survey adoption across business teams.
- Medallia is best for companies focused on customer experience management and operational Voice of Customer programs.
- Forsta is best for traditional research teams that need deep research capabilities and are often evaluating replacements for legacy research tools.
- Typeform Enterprise is best for branded, customer-facing surveys where respondent experience matters most.
- QuestionPro is best for teams seeking enterprise research capabilities with a stronger emphasis on value.
This guide is intended for organizations actively evaluating Qualtrics alternatives. It explains why companies replace Qualtrics, when Qualtrics may still be the right choice, how to evaluate competing platforms, and which products are best suited to different use cases.
Rather than identifying a single universal winner, the goal is to help you choose the platform that best addresses the challenges you’re trying to solve, whether that’s reducing cost and complexity, expanding AI capabilities, increasing adoption, improving survey distribution, supporting more advanced research, or accelerating time to insight.
Is Qualtrics Still Worth It?
Before evaluating alternatives, it’s worth asking an important question:
Do you actually need to replace Qualtrics?
Despite the growing number of enterprise survey platforms on the market, Qualtrics remains one of the most capable research platforms available. For many organizations, it continues to be the right choice.
Qualtrics is particularly well suited to organizations with mature research operations, dedicated Research Ops teams, and highly customized workflows. If your organization relies on sophisticated methodologies, extensive integrations, complex governance requirements, or global deployments spanning dozens of business units, Qualtrics continues to set a high bar.
It also benefits from a large ecosystem. Many researchers already know the platform, consultants specialize in implementing it, and large enterprises often have years of institutional knowledge built around existing Qualtrics programs.
If your current implementation is meeting your needs, your researchers are productive, and your organization isn’t looking to fundamentally change how research is conducted, there may be little reason to switch.
That said, the enterprise survey market has changed significantly over the past few years.
Organizations are asking more teams to conduct research, expectations for speed have increased, and AI is beginning to automate work that was previously manual. These shifts have led many companies to reevaluate whether the platform they selected five or ten years ago is still the platform they would choose today.
In our experience, companies evaluating alternatives are usually trying to solve one or more of the following challenges:
- Reducing software and implementation costs
- Making survey creation accessible to more teams
- Accelerating research with AI
- Consolidating multiple research and feedback tools
- Modernizing legacy research workflows
- Simplifying platform administration
- Reducing dependence on specialized platform experts
These aren’t necessarily shortcomings of Qualtrics. In many cases, they’re the result of changing business priorities.
For example, a company that once had a centralized insights team may now expect product managers, marketers, customer success managers, and designers to run their own research. A platform optimized for expert researchers may not be the best fit for that broader audience.
Similarly, organizations investing heavily in AI often want more than AI-generated survey questions. They’re looking for platforms that can help design studies, recommend methodologies, analyze qualitative feedback, generate reports, and surface actionable insights with minimal manual effort.
If those priorities sound familiar, it’s worth evaluating what’s changed in the market before renewing an existing contract.
The remainder of this guide compares the leading Qualtrics alternatives, highlights where each platform excels, and provides a framework for determining which option best fits your organization’s goals.
Common Reasons Companies Replace Qualtrics
Most organizations don’t replace Qualtrics because it lacks capabilities. In fact, one of Qualtrics’ greatest strengths is the breadth of what it can do.
Instead, companies usually begin evaluating alternatives because their priorities have changed.
The platform that made sense when research was centralized, AI didn’t exist, and survey creation was limited to a small group of specialists may not be the platform that best supports how research is conducted today.
Below are the most common reasons organizations begin exploring Qualtrics alternatives.
1. Rising Costs and Renewal Pressure
Qualtrics is a significant enterprise investment, particularly for large deployments.
As contracts come up for renewal, procurement teams often use the opportunity to reassess whether the organization is fully utilizing the platform’s capabilities. In some cases, teams discover they are paying for functionality they rarely use. In others, research has expanded to new departments, making licensing and administration more expensive over time.
Cost alone is rarely the deciding factor, but many organizations look for platforms that deliver similar enterprise capabilities with a lower total cost of ownership.
2. Complexity Has Become a Barrier
Qualtrics is designed to support an enormous range of research programs, from employee engagement to customer experience to advanced market research.
That flexibility comes with complexity.
Many organizations rely on dedicated Research Ops teams or platform administrators to manage templates, permissions, governance, and survey programming. While that model works well for mature research organizations, it can slow teams that need to move quickly.
As more product managers, marketers, designers, and customer success teams begin conducting research, organizations increasingly value platforms that require less specialized expertise.
3. AI Has Changed Expectations
When many organizations first implemented Qualtrics, generative AI didn’t exist.
Today, expectations are different.
Teams increasingly expect AI to help throughout the research lifecycle, including:
- Recommending research methodologies
- Designing complete studies
- Improving question quality
- Programming survey logic
- Summarizing qualitative feedback
- Identifying themes
- Generating executive-ready reports
- Recommending next steps
Many organizations evaluating alternatives aren’t simply looking for “AI features.” They’re looking for platforms built around AI workflows from the start.
4. Research Is No Longer Centralized
Research is expanding beyond dedicated insights teams. Today, product managers validate roadmap decisions, marketers test messaging, customer success teams measure satisfaction, and executives rely on customer feedback to inform strategy.
Most of these users don’t need every capability of a traditional enterprise research platform. They need software that enables them to produce high-quality research without becoming survey experts. As research becomes more distributed across the business, ease of use becomes just as important as methodological depth because adoption increasingly depends on how effectively non-specialists can generate trustworthy insights.
5. Faster Time to Insight
Organizations are under pressure to answer more business questions with the same research resources. As a result, reducing the time between identifying a question and delivering actionable insights has become a meaningful competitive advantage.
Many buyers evaluating alternatives are looking for platforms that reduce manual work through faster survey creation, streamlined fielding, automated analysis, and AI-assisted reporting. The objective is not simply to complete studies more quickly, but to allow researchers to spend more time interpreting findings and less time producing them.
6. Consolidating Research and Feedback Tools
Large organizations often accumulate multiple research and feedback tools over time. One platform may be used for product research, another for customer surveys, another for website feedback, and another for participant recruitment.
Maintaining separate systems increases software costs, fragments customer data, and creates inconsistent experiences for both researchers and participants. For many organizations, a Qualtrics evaluation becomes an opportunity to simplify that landscape by consolidating multiple point solutions into a single enterprise survey platform.
7. A Chance to Modernize
Enterprise survey platforms are long-term investments, and many organizations remain on the same platform for five to ten years or longer. Renewal periods therefore create a natural opportunity to revisit a broader strategic question:
If we were choosing a survey platform today, knowing what we know now, would we make the same decision?
Sometimes the answer is yes. In other cases, advances in AI, evolving research workflows, organizational changes, or shifting business priorities make a different platform a better fit than the one originally selected.
The purpose of this guide is not to argue that every organization should replace Qualtrics. It’s to help you determine whether another platform is better aligned with where your research organization is headed over the next decade, rather than where it has been over the last one.
What to Look for in a Qualtrics Alternative
Once you’ve decided to evaluate alternatives, the next question is what you should compare.
It’s tempting to create a spreadsheet with hundreds of features, but that approach rarely leads to the best decision. Most enterprise survey platforms support advanced question types, branching logic, dashboards, APIs, and enterprise security. Those capabilities remain important, but they often aren’t what ultimately determines whether a migration is successful.
Instead, focus on the capabilities that will have the biggest impact on how your organization conducts research over the next five to ten years.
Enterprise Readiness
Replacing Qualtrics shouldn’t require compromising on enterprise capabilities.
Organizations using Qualtrics today often rely on features such as Single Sign-On (SSO), role-based permissions, audit logs, APIs, compliance certifications, and centralized administration. Any platform under consideration should satisfy your governance and security requirements from day one. Ease of use is important, but it should complement enterprise controls rather than come at their expense.
Research Capabilities
Begin by assessing the types of research your organization actually conducts.
Some teams primarily run customer satisfaction surveys and employee engagement studies, while others regularly conduct pricing research, concept testing, product research, and market research. The right alternative should support both your current research portfolio and the types of studies you expect to conduct in the future.
If advanced methodologies are important, evaluate support for capabilities such as:
- Conjoint analysis
- MaxDiff
- Gabor-Granger pricing
- Van Westendorp pricing
- Quotas
- Randomization
- Advanced display and skip logic
- Embedded variables
- Multilingual surveys
Don’t assume every enterprise platform supports these methodologies equally.
AI Capabilities
AI has become one of the most significant differentiators among modern enterprise survey platforms.
Many vendors now offer AI-generated survey questions or response summaries. While useful, these capabilities represent only a small portion of the research process. A more meaningful evaluation considers how AI supports the entire research lifecycle rather than individual tasks.
Questions to consider include:
- Can AI recommend the appropriate methodology?
- Can it generate a complete study from a product brief or business objective?
- Does it identify biased or unclear survey questions?
- Can it automatically program survey logic?
- Does it monitor response quality while a study is running?
- Can it identify themes across thousands of open-ended responses?
- Can it generate executive-ready reports?
- Can it recommend follow-up research based on the findings?
The more deeply AI is integrated into the research workflow, the greater its potential to reduce manual effort and accelerate time to insight.
Survey Distribution
Designing a survey is only one part of the research process. Reaching the right audience is equally important.
When comparing platforms, evaluate how each supports survey distribution across channels such as:
- Email
- Anonymous links
- QR codes
- SMS
- In-product surveys
- Customer lists
- Research panels
Some organizations also want to recruit participants without relying on separate vendors. If that’s a priority, assess whether the platform provides native participant panels, integrations with third-party panel providers, or both.
Ease of Adoption
One of the most common reasons organizations replace Qualtrics is to make research accessible to a broader range of employees.
If product managers, marketers, designers, and customer success teams will be conducting research, consider how quickly they can create high-quality studies without extensive training. Questions worth evaluating include:
- Is the interface intuitive?
- Can non-researchers launch trustworthy studies?
- Does the platform guide users toward better research practices?
- How much manual work remains after responses are collected?
Reducing operational complexity often has a greater long-term impact than adding another advanced feature.
Migration Effort
Every migration carries costs.
Before selecting a new platform, understand which assets can be migrated automatically and which will need to be recreated. Common considerations include:
- Existing survey templates
- Complex survey logic
- Contact lists
- Historical results
- Dashboards
- User permissions
- Integrations
- Internal training
For many organizations, the lowest-risk approach is to begin with new research projects while transitioning existing programs in phases over time.
Total Cost of Ownership
Software pricing tells only part of the story.
The total cost of ownership also includes implementation, administration, training, ongoing maintenance, and the amount of manual effort required to conduct research.
A platform with a lower subscription price isn’t necessarily less expensive if it requires significant operational overhead. Likewise, a higher-priced platform may deliver a stronger return if it enables teams to conduct more research with fewer resources.
When comparing Qualtrics alternatives, evaluate both the direct software investment and the long-term operational costs of running research on each platform.
The platforms in the next section are evaluated using these criteria, with an emphasis on where each one is strongest rather than attempting to identify a single winner for every organization.
Quick Comparison: Best Qualtrics Alternatives
If you’re short on time, the table below summarizes the leading Qualtrics alternatives and the types of organizations they’re best suited for.
No platform is objectively better than Qualtrics in every category. Each takes a different approach to enterprise research. Some prioritize configurability, others focus on customer experience, and newer platforms are rethinking the research workflow around AI.
The right choice depends on your organization’s priorities, including the types of research you conduct, who conducts it, and how you expect research to evolve over the next several years.
| Platform | Best For | Key Strengths | Potential Considerations |
|:-----------------------:|:------------------------------------------:|:------------------------------------------------------------------------------------------------------------------------------------------------:|:--------------------------------------------------------------------------------------------:|
| Sprig | Organizations modernizing research with AI | AI-native survey design, native email distribution, integrated participant panels, in-product surveys, enterprise security, fast time to insight | Organizations with highly customized legacy workflows should evaluate migration requirements |
| SurveyMonkey Enterprise | Broad adoption across business teams | Familiar interface, quick survey creation, enterprise administration, strong ease of use | Less depth for advanced research methodologies and complex enterprise research programs |
| Medallia | Enterprise customer experience programs | Voice of Customer, journey measurement, operational dashboards, closed-loop feedback | Primarily designed for customer experience rather than general-purpose research |
| Forsta | Dedicated research organizations | Advanced market research capabilities, sophisticated methodologies, enterprise deployments | Steeper learning curve and greater complexity than some modern platforms |
| Typeform Enterprise | Branded customer-facing surveys | Exceptional respondent experience, modern design, strong completion rates | Less suited for highly sophisticated enterprise research workflows |
| QuestionPro | Cost-conscious enterprise research teams | Broad methodology support, enterprise capabilities, strong overall value | Smaller ecosystem and market presence than some larger enterprise vendors |
Which Alternative Is Right for You?
If you’re evaluating alternatives for a specific reason, here’s a good place to start.
Choose Sprig if…
You want an AI-native enterprise survey platform that helps teams design, distribute, and analyze research faster. It’s particularly well suited for organizations conducting product, customer, market, and UX research while looking to modernize workflows around AI.
Choose SurveyMonkey Enterprise if…
Your priority is making surveys accessible across the organization. SurveyMonkey Enterprise is a strong choice when ease of adoption matters more than supporting the most advanced research methodologies.
Choose Medallia if…
Your primary focus is customer experience management. Organizations running large Voice of Customer programs often benefit from Medallia’s operational workflows and journey analytics.
Choose Forsta if…
Your organization has a mature research function that depends on sophisticated market research methodologies and highly configurable research workflows.
Choose Typeform Enterprise if…
Respondent experience is your highest priority. It’s particularly effective for customer-facing surveys where design and engagement can improve completion rates.
Choose QuestionPro if…
You’re looking for a capable enterprise research platform with broad functionality while optimizing for overall value.
The following sections examine each platform in more detail, including where it excels, where it may not be the best fit, and the types of organizations most likely to benefit from choosing it over Qualtrics.
Sprig
Best AI-Native Qualtrics Alternative
Best for: Enterprise product research, customer research, market research, UX research, and organizations looking to modernize research with AI.
For organizations evaluating Qualtrics alternatives, Sprig represents one of the biggest departures from the traditional enterprise survey platform.
Rather than asking, “How can we build a platform with every possible research feature?” Sprig starts with a different question:
How can AI help organizations generate better customer evidence with dramatically less manual work?
That philosophy shapes nearly every part of the platform.
Where traditional survey platforms center the workflow around building surveys, Sprig centers it around answering business questions. AI assists throughout the research lifecycle, from designing studies and selecting methodologies to distributing surveys, analyzing responses, and generating executive-ready findings.
For many organizations, this represents a fundamentally different way of conducting research.
Overview
Sprig began as a product research platform focused on helping software companies collect feedback inside their products.
Over the past several years, the platform has expanded into a full enterprise survey solution supporting customer research, market research, brand research, employee research, pricing research, and product research from a single platform.
Today, organizations can design, distribute, and analyze surveys across multiple channels including:
- Email
- In-product surveys
- Anonymous links
- QR codes
- Research panels
This enables many companies to consolidate research that previously required multiple tools.
More importantly, Sprig has built these capabilities around AI rather than adding AI after the fact.
The result is a platform designed not just to collect responses, but to help organizations move from questions to evidence more quickly.
AI-Native Research
Nearly every enterprise survey platform now includes AI, most commonly to generate survey questions or summarize responses.
Those capabilities are valuable, but they represent only a small portion of the research workflow. Sprig takes a different approach by integrating AI throughout the research lifecycle.
Instead of starting with a blank survey, researchers can begin with:
- A product requirements document
- A strategy memo
- A feature specification
- Customer interview transcripts
- Support tickets
- Product analytics
- A simple research objective
Rather than starting with a blank survey, AI helps transform those inputs into a complete study.
Depending on the project, AI can assist with:
- Selecting an appropriate methodology
- Drafting survey questions
- Improving question wording
- Detecting leading or double-barreled questions
- Building survey logic
- Recommending additional questions
- Generating answer choices
- Identifying demographic gaps
- Summarizing qualitative feedback
- Identifying themes
- Producing executive summaries
- Recommending follow-up research
The objective isn’t to replace researchers.
It’s to automate much of the operational work surrounding research so researchers can focus on interpreting findings and influencing business decisions.
Survey Distribution
One area where organizations often underestimate complexity is participant recruitment. Creating a survey is relatively straightforward. Finding the right audience is often much harder.
Sprig combines several distribution methods within a single platform, including native email, integrated research panels, and in-product surveys.
Native Email Distribution
Organizations can send surveys directly from Sprig without relying on external email platforms. This simplifies customer research, NPS programs, employee surveys, and longitudinal studies while keeping survey creation and distribution in a single workflow.
Integrated Research Panels
Organizations can recruit participants directly from within the platform using millions of available B2B and B2C participants. This reduces the operational overhead of coordinating with third-party panel vendors and makes it easier to move from survey design to fielding.
In-Product Surveys
One of Sprig’s historical strengths remains its ability to collect feedback directly inside digital products. Teams can survey users while they’re actively using a feature rather than relying solely on follow-up emails, providing behavioral context that traditional survey platforms often can’t capture.
Enterprise Research Capabilities
Although Sprig is often discussed for its AI capabilities, it has steadily expanded its support for enterprise research methodologies.
Today, organizations can conduct:
- Product research
- Customer research
- Market research
- Brand research
- Employee research
- Pricing research
Advanced capabilities include support for methodologies such as:
- Conjoint analysis
- MaxDiff
- Gabor-Granger
- Van Westendorp
- Quotas
- Advanced survey logic
- Variable piping
- Randomization
- Multimedia questions
This allows organizations to conduct everything from simple pulse surveys to sophisticated strategic research within the same environment.
Enterprise Readiness
Replacing Qualtrics requires more than matching research features.
Enterprise buyers also need confidence that the platform can support governance, security, and large-scale deployment.
Sprig includes enterprise capabilities such as:
- Single Sign-On (SSO)
- Role-based permissions
- Enterprise administration
- Auditability
- APIs
- Security and compliance controls
- Team workspaces
These capabilities enable organizations to expand research beyond centralized insights teams while maintaining governance.
Claude and ChatGPT Integration
One differentiator that has emerged recently is Sprig’s support for Model Context Protocol (MCP). Researchers can securely connect their survey data with AI assistants such as Claude and ChatGPT to perform deeper analysis using natural language. Rather than exporting spreadsheets, analysts can ask questions directly against research data, generate custom visualizations, explore segments, or investigate unexpected findings while maintaining enterprise security controls.
As conversational AI becomes a larger part of enterprise workflows, integrations like these are likely to become increasingly valuable.
Where Sprig Excels
Compared to Qualtrics, Sprig is particularly strong for organizations that value:
- AI-assisted research workflows
- Faster time from question to insight
- Modern user experience
- Native participant recruitment
- Native email distribution
- Product research
- Cross-functional adoption
- Reduced operational complexity
Organizations looking to democratize research across product, marketing, design, customer success, and strategy teams often find these advantages especially compelling.
Potential Considerations
Qualtrics has been evolving for more than two decades and supports an extraordinary range of specialized enterprise workflows. Organizations with heavily customized implementations should inventory the workflows they rely on before migrating to any alternative. Enterprises with dedicated platform administrators and highly specialized governance processes should also evaluate how those workflows translate into a newer platform.
For many organizations, the migration effort is outweighed by gains in usability and AI-assisted workflows, but the right decision depends on how extensively Qualtrics has been customized over time.
Bottom Line
Sprig isn’t trying to be a less expensive version of Qualtrics. It’s trying to rethink how enterprise research is conducted.
Rather than optimizing individual steps in the survey process, Sprig aims to reduce the operational effort required to move from a business question to trustworthy customer evidence. For organizations modernizing research around AI, that makes it one of the strongest Qualtrics alternatives available today.
SurveyMonkey Enterprise
Best for: Organizations looking for a simpler, more accessible alternative to Qualtrics for business surveys and enterprise-wide adoption.
SurveyMonkey Enterprise has earned a very different reputation than Qualtrics.
Where Qualtrics is known for flexibility and depth, SurveyMonkey is known for simplicity. It’s a platform that prioritizes getting surveys into the hands of business users quickly, making it a popular choice for organizations that want feedback to become part of everyday decision making rather than the responsibility of a centralized research team.
For companies replacing Qualtrics, SurveyMonkey Enterprise is often attractive because it offers a familiar user experience with significantly less operational complexity.
The tradeoff is that it isn’t designed to support every type of enterprise research program. Organizations conducting highly specialized market research or relying on complex survey programming may find its capabilities less comprehensive than those of Qualtrics or other research-focused platforms.
Overview
SurveyMonkey has been one of the most recognizable names in online surveys for more than two decades.
Its Enterprise offering builds on the familiarity of the core platform by adding the governance, security, collaboration, and administrative controls that large organizations require.
Instead of focusing on specialized research departments, SurveyMonkey Enterprise is designed to support a wide range of business users across functions such as:
- Marketing
- Human Resources
- Customer Success
- Operations
- Sales
- Product Management
- Internal Communications
For many organizations, this broad accessibility is one of its biggest strengths.
Rather than requiring extensive training, most employees can begin creating surveys with relatively little onboarding.
Ease of Use
Ease of use is where SurveyMonkey Enterprise differentiates itself most clearly from Qualtrics. The interface is straightforward, survey creation is intuitive, and the learning curve is considerably shorter than many enterprise research platforms. As a result, it’s well suited for organizations where surveys are created by dozens or hundreds of employees rather than a dedicated research team.
Templates, guided workflows, and a familiar editing experience help teams move quickly from an idea to a published survey, significantly reducing the operational burden of conducting research.
Enterprise Administration
Although SurveyMonkey is often associated with smaller organizations, the Enterprise edition includes capabilities designed for larger deployments.
These include:
- Single Sign-On (SSO)
- Centralized user management
- Team workspaces
- Administrative controls
- Security and compliance features
- Collaboration tools
These additions allow organizations to maintain governance while giving individual departments more autonomy to conduct their own surveys.
Compared to Qualtrics, however, organizations with highly customized governance models or extensive administrative requirements may find fewer configuration options.
Research Capabilities
SurveyMonkey Enterprise supports many of the survey types organizations use every day, including:
- Customer feedback surveys
- Employee engagement surveys
- Event feedback
- Marketing research
- Product feedback
- Internal business surveys
It also includes features such as survey logic, branching, customization, reporting, and integrations with many commonly used business applications. For many organizations, these capabilities are more than sufficient.
However, enterprises conducting advanced market research should carefully evaluate whether the platform supports the methodologies they depend on. Research techniques such as conjoint analysis, MaxDiff, pricing research, and highly customized survey logic have historically been stronger areas for dedicated enterprise research platforms. The question isn’t whether SurveyMonkey Enterprise can conduct research. It’s whether it supports the full sophistication of your organization’s research program.
AI Capabilities
Like most enterprise software vendors, SurveyMonkey has invested in AI to simplify survey creation and analysis. AI can help users draft survey questions, improve wording, and summarize responses, making it easier for non-specialists to create effective surveys. These capabilities reduce friction during survey creation and help business users move more quickly.
Organizations evaluating Qualtrics alternatives, however, should consider how deeply AI is integrated into the overall research workflow. If your goal is to automate larger portions of research, such as methodology selection, survey programming, qualitative synthesis, or executive reporting, you’ll want to compare the breadth of AI capabilities across vendors rather than simply confirming that AI features exist.
Survey Distribution
SurveyMonkey Enterprise supports multiple methods for collecting responses, including:
- Email invitations
- Anonymous survey links
- Website embeds
- QR codes
These distribution options make it suitable for many internal and external survey programs. Organizations with more specialized participant recruitment needs should also evaluate how each platform supports research panels, customer databases, CRM integrations, or in-product survey delivery, as these capabilities often become increasingly important as research programs mature.
Where SurveyMonkey Enterprise Excels
Compared to Qualtrics, SurveyMonkey Enterprise is particularly strong for organizations that prioritize:
- Ease of use
- Fast survey creation
- Broad business adoption
- Minimal training
- Familiar user experience
- Department-level autonomy
Organizations that want to empower employees across the business to collect feedback without relying on dedicated research specialists often find this approach compelling.
Potential Considerations
The simplicity that makes SurveyMonkey Enterprise approachable also defines its boundaries. Organizations with sophisticated market research programs, highly customized research workflows, or extensive methodological requirements should carefully validate that the platform supports the capabilities they rely on today.
Similarly, buyers looking for AI to fundamentally reshape how research is conducted may find meaningful differences in how vendors integrate AI throughout the research lifecycle. As always, the best platform depends less on feature counts than on how well its product philosophy aligns with your organization’s goals.
Bottom Line
SurveyMonkey Enterprise isn’t trying to compete with Qualtrics on configurability. Instead, it offers a simpler approach to enterprise surveying that emphasizes accessibility, speed, and organization-wide adoption.
For companies that believe more employees should be able to gather customer and employee feedback without becoming research experts, that philosophy is a significant advantage. If your primary objective is replacing complexity with usability while retaining enterprise governance, SurveyMonkey Enterprise is one of the strongest Qualtrics alternatives to evaluate.
Medallia
Best for: Large enterprises running customer experience (CX) and Voice of Customer (VoC) programs.
While Medallia is often evaluated alongside Qualtrics, it serves a somewhat different purpose.
Qualtrics originated as a research platform that expanded into customer and employee experience. Medallia followed the opposite path. It was built around helping organizations continuously measure, understand, and improve customer experiences across every stage of the customer journey.
As a result, Medallia is less of a direct replacement for Qualtrics than it is an alternative for organizations whose primary objective is customer experience management rather than general-purpose research.
If your organization is evaluating Qualtrics because you’re primarily running Voice of Customer programs, Medallia deserves serious consideration.
If you’re looking for a platform to support a wide variety of research methodologies across product, UX, pricing, and market research, you should carefully compare how each platform aligns with those broader use cases.
Overview
Medallia is designed to help organizations collect, analyze, and act on customer feedback across multiple touchpoints.
Rather than focusing on individual research projects, the platform emphasizes continuous measurement of customer experiences throughout the customer lifecycle.
Common use cases include:
- Customer satisfaction (CSAT)
- Net Promoter Score (NPS)
- Customer Effort Score (CES)
- Post-purchase surveys
- Contact center feedback
- Retail and in-store experiences
- Hospitality and travel experiences
- Service recovery workflows
Many of the world’s largest consumer brands use Medallia to monitor customer sentiment in near real time and identify operational issues before they become systemic problems.
This makes the platform particularly attractive for organizations with mature customer experience organizations and dedicated CX teams.
Voice of Customer
Voice of Customer is where Medallia differentiates itself most clearly. Rather than treating surveys as standalone research studies, Medallia connects feedback across channels to help organizations understand the complete customer journey.
For example, a customer might:
- Complete a purchase
- Contact customer support
- Visit a retail location
- Submit a satisfaction survey
- Leave public feedback
Medallia is designed to combine these signals into a unified view of the customer experience. For organizations focused on improving operational performance, this continuous feedback model can be significantly more valuable than conducting periodic research studies.
Operational Workflows
One of Medallia’s biggest strengths is helping organizations move from feedback to operational action.
The platform supports workflows such as:
- Automatically routing negative feedback to local teams
- Escalating dissatisfied customers
- Tracking issue resolution
- Monitoring customer experience trends
- Identifying recurring operational problems
- Alerting managers to emerging issues
These capabilities are particularly valuable for organizations with thousands of frontline employees spread across multiple locations.
Rather than simply measuring customer sentiment, Medallia helps organizations operationalize customer feedback throughout the business.
Enterprise Capabilities
As expected from an enterprise platform, Medallia includes capabilities such as:
- Enterprise security
- Role-based permissions
- Administrative controls
- APIs and integrations
- Compliance programs
- Global deployments
- Team-based governance
These capabilities have helped establish Medallia as a common choice among large multinational organizations.
Its ecosystem also includes integrations with CRM platforms, contact center software, and customer service tools, allowing feedback to become part of broader operational workflows.
AI Capabilities
Medallia has invested heavily in AI to help organizations analyze customer feedback at scale.
These capabilities focus on areas such as:
- Summarizing customer comments
- Identifying emerging themes
- Detecting customer sentiment
- Highlighting operational issues
- Prioritizing areas requiring attention
For organizations receiving millions of customer comments each year, these capabilities significantly reduce the effort required to identify meaningful trends.
When evaluating Qualtrics alternatives, however, it’s important to distinguish between AI for customer experience management and AI for research.
Organizations conducting strategic product research, pricing studies, market research, or concept testing may have different expectations for how AI should support study design, methodology selection, and research planning.
Research Capabilities
Although Medallia includes survey functionality, its philosophy differs from research-first platforms. It excels at continuous measurement and operational customer feedback rather than supporting every type of research project.
Organizations whose research portfolio includes the following activities should carefully evaluate whether Medallia aligns with those needs:
- Concept testing
- Pricing research
- Market segmentation
- Product research
- Brand tracking
- Experimental survey design
For many enterprises, Medallia complements a dedicated research platform exceptionally well. Whether it can replace one depends largely on how much of your work centers on operational customer experience versus strategic research.
Where Medallia Excels
Compared to Qualtrics, Medallia is particularly strong for organizations that prioritize:
- Voice of Customer programs
- Customer journey management
- Operational customer experience
- Closed-loop feedback
- Contact center analytics
- Multi-channel customer feedback
- Enterprise CX governance
If your executive team measures success through customer experience metrics and operational improvements, Medallia offers capabilities specifically designed for those objectives.
Potential Considerations
Organizations evaluating Medallia as a Qualtrics replacement should begin by understanding the primary purpose of their research program. If the majority of surveys support operational customer experience, Medallia is one of the strongest platforms available.
If your organization relies heavily on advanced research methodologies across multiple departments, including product, UX, market research, and pricing studies, a more research-centric platform may provide greater flexibility. Neither approach is inherently better. They’re simply optimized for different goals.
Bottom Line
Medallia isn’t trying to be an all-purpose enterprise research platform. Its strength lies in helping organizations continuously understand and improve customer experiences across the business.
For enterprises where Voice of Customer is a strategic priority, that specialization makes Medallia one of the strongest Qualtrics alternatives available. Organizations seeking a platform to support a broader range of research disciplines should compare Medallia alongside more research-focused alternatives before making a final decision.
Forsta
Best for: Market research firms, dedicated insights teams, and enterprises conducting sophisticated research programs.
For organizations with mature research operations, Forsta is one of the most credible alternatives to Qualtrics.
Unlike many survey platforms designed to make research accessible to a broad range of business users, Forsta is built primarily for professional researchers. Its strengths lie in supporting complex research methodologies, sophisticated survey programming, large-scale market research, and enterprise research operations.
Because of that positioning, buyers evaluating Qualtrics frequently include Forsta when they want to preserve the depth and flexibility of a traditional enterprise research platform while exploring alternatives.
Organizations with dedicated researchers, experienced survey programmers, or Research Operations specialists should give Forsta serious consideration.
Overview
Forsta was formed through the combination of several established research technology companies, bringing together decades of experience in market research, customer feedback, and data collection.
Today, the platform supports a wide variety of enterprise research initiatives, including:
- Market research
- Brand tracking
- Customer research
- Employee research
- Product research
- Pricing research
- Longitudinal studies
That heritage is evident throughout the platform. Where some enterprise survey platforms prioritize speed and simplicity, Forsta emphasizes flexibility, methodological rigor, and researcher control. For experienced research teams, those priorities often represent meaningful advantages rather than tradeoffs.
Advanced Research Methodologies
One of Forsta’s greatest strengths is its support for sophisticated research design. Organizations conducting strategic research often require capabilities well beyond standard survey creation, including advanced sampling, experimental design, quotas, and complex survey logic.
Depending on your research program, you may need methodologies such as:
- Conjoint analysis
- MaxDiff
- Brand tracking
- Pricing research
- Segmentation studies
- Longitudinal research
- Complex quota management
- Advanced randomization
Forsta has long focused on supporting these types of projects, making it particularly attractive to organizations with experienced market research teams. If your research organization regularly designs custom studies rather than relying on templates, this level of flexibility can be an important differentiator.
Survey Programming
Forsta also stands out for the level of control it provides over survey programming. Experienced researchers can create highly customized surveys with sophisticated routing, logic, quotas, variables, and respondent experiences. That flexibility allows organizations to support research designs that would be difficult or impossible to recreate in lighter-weight survey tools.
The tradeoff is complexity. Organizations should expect a steeper learning curve than platforms designed primarily for business users.
Enterprise Deployment
Like Qualtrics, Forsta is designed for enterprise-scale deployments.
Capabilities include:
- Enterprise security
- Role-based permissions
- Administrative controls
- APIs and integrations
- Compliance programs
- Multi-team governance
- Global research support
These capabilities make the platform suitable for organizations conducting research across multiple business units or geographic regions.
For companies with established Research Operations teams, Forsta provides the governance expected of an enterprise research platform.
AI Capabilities
Like much of the research software industry, Forsta has incorporated AI into parts of its platform. AI can assist with activities such as summarizing responses, identifying themes, and helping researchers analyze qualitative feedback more efficiently. These capabilities can reduce manual analysis and accelerate reporting, particularly for studies with large volumes of open-ended responses.
Organizations evaluating alternatives should also consider how AI fits into the broader research workflow. Some vendors primarily use AI to improve existing research processes, while others are redesigning the workflow itself around AI-assisted study design, survey creation, and analysis. Understanding that difference is increasingly important when selecting a platform expected to support research over the next decade.
Ease of Use
Forsta is designed primarily for professional researchers rather than casual survey creators. That isn’t a weakness but a deliberate product decision. Organizations with experienced research teams often prefer platforms that expose greater control, even if they require additional training.
Companies looking to democratize research across product managers, marketers, designers, and customer success teams should carefully evaluate how approachable the platform is for occasional users. Ultimately, the answer depends less on feature availability than on who will actually be creating research inside your organization.
Where Forsta Excels
Compared to Qualtrics, Forsta is particularly strong for organizations that prioritize:
- Advanced market research
- Sophisticated survey programming
- Methodological flexibility
- Dedicated research teams
- Longitudinal studies
- Enterprise research governance
- Complex sampling and quotas
For organizations conducting high-value strategic research, these capabilities can outweigh the additional complexity.
Potential Considerations
Forsta’s strengths are closely tied to its research-first philosophy. Organizations seeking a platform that non-specialists can adopt quickly may find the learning curve steeper than more modern survey platforms.
Similarly, buyers looking for AI to automate larger portions of the research lifecycle should compare how different vendors approach AI rather than assuming every platform uses it in the same way. As with Qualtrics, Forsta is optimized for depth and flexibility first, and whether that’s the right choice depends on your organization’s priorities.
Bottom Line
Forsta is one of the closest alternatives to Qualtrics for organizations that want to preserve the depth, rigor, and flexibility of a traditional enterprise research platform. Rather than simplifying research, it equips experienced researchers with sophisticated tools to design and execute complex studies.
For enterprises with mature insights organizations and demanding methodological requirements, that makes Forsta one of the strongest Qualtrics alternatives to evaluate. Organizations prioritizing simplicity, broader business adoption, or AI-native workflows may find another platform to be a better fit.
Typeform Enterprise
Best for: Customer-facing surveys, brand research, marketing teams, and organizations that prioritize respondent experience.
Typeform Enterprise occupies a unique position among Qualtrics alternatives.
While most enterprise survey platforms compete on research depth or enterprise configurability, Typeform differentiates itself by focusing on the survey experience itself. Its conversational, one-question-at-a-time interface has made it one of the most recognizable survey platforms for organizations that care about design, brand perception, and respondent engagement.
For some organizations, that’s a meaningful competitive advantage.
A better respondent experience can lead to higher completion rates, more thoughtful responses, and stronger brand impressions. If your surveys are customer-facing and represent an extension of your brand, those factors matter.
However, organizations replacing Qualtrics should understand that Typeform is optimized for a different set of priorities than traditional enterprise research platforms.
Overview
Typeform is designed to make surveys feel less like forms and more like conversations. Rather than presenting respondents with long pages of questions, it guides them through one question at a time using a clean, modern interface.
This approach has made Typeform particularly popular for:
- Customer feedback
- Brand research
- Lead generation
- Event registrations
- Marketing campaigns
- Application forms
- Employee feedback
- Product feedback
For many business teams, creating a polished, engaging survey requires very little design effort. That emphasis on respondent experience and usability has helped Typeform build a strong following among marketers, designers, and other customer-facing teams.
Respondent Experience
Respondent experience is where Typeform most clearly differentiates itself.
The platform is built around the idea that surveys are more likely to be completed when they feel conversational rather than transactional. That philosophy is reflected throughout the product, including features such as:
- One-question-at-a-time layouts
- Clean visual design
- Rich media support
- Brand customization
- Mobile-friendly experiences
- Interactive question flows
For organizations collecting customer feedback or marketing insights, these design choices can encourage higher participation and reduce survey fatigue. Although research methodology ultimately has a greater influence on data quality than visual design alone, respondent engagement remains an important consideration, particularly for longer surveys and external audiences.
Ease of Use
Typeform is also one of the easiest enterprise survey platforms to learn.
Business users can typically build attractive surveys without extensive training, making the platform well suited for organizations where surveys are created across multiple departments. Templates, intuitive editing tools, and visual customization reduce the effort required to publish customer-facing surveys. Compared with Qualtrics, the emphasis is less on configuring every possible research workflow and more on helping teams launch surveys quickly.
Enterprise Capabilities
Typeform Enterprise adds the administrative and security capabilities expected by larger organizations, including:
- Single Sign-On (SSO)
- Team collaboration
- User management
- Administrative controls
- Security features
- Integrations with common business applications
These additions make the platform suitable for enterprise deployments while preserving the simplicity that has always been central to the product.
Organizations with highly specialized governance requirements, however, should carefully compare enterprise administration capabilities with platforms built specifically for large-scale research operations.
Research Capabilities
Typeform supports many of the survey types organizations use every day, including:
- Customer feedback
- Employee feedback
- Product feedback
- Brand research
- Event surveys
- Marketing research
For many teams, this breadth is more than sufficient.
However, organizations replacing Qualtrics should evaluate whether they require advanced research methodologies such as:
- Conjoint analysis
- MaxDiff
- Gabor-Granger pricing
- Van Westendorp pricing
- Sophisticated quota management
- Complex experimental designs
These capabilities are often more important for dedicated research organizations than for marketing or customer feedback teams.
If advanced methodology is central to your research program, you’ll want to compare platforms carefully before making a decision.
AI Capabilities
Typeform has introduced AI capabilities to help users create surveys more efficiently.
These features assist with tasks such as generating survey drafts and improving question wording, helping teams move from an initial idea to a finished survey more quickly.
As with any Qualtrics alternative, it’s worth evaluating AI in the context of the broader research workflow. Some platforms concentrate on accelerating survey creation, while others extend AI across study design, analysis, reporting, and research recommendations.
The right approach depends on the role your organization expects AI to play in its research process over time.
Where Typeform Enterprise Excels
Compared with Qualtrics, Typeform Enterprise is particularly strong for organizations that prioritize:
- Beautiful survey experiences
- High respondent engagement
- Brand consistency
- Marketing research
- Customer-facing surveys
- Fast survey creation
- Cross-functional adoption
Organizations that view every survey as a customer touchpoint often find these strengths particularly compelling.
Potential Considerations
Typeform is intentionally designed to be approachable.
Teams with sophisticated research operations should carefully evaluate whether the platform supports the advanced methodologies, governance requirements, and research workflows they depend on. Likewise, enterprises looking to consolidate every type of research onto a single platform should assess how well Typeform aligns with the full breadth of their research portfolio.
Its primary strength lies in delivering an exceptional respondent experience rather than replicating every capability of a traditional enterprise research platform.
Bottom Line
Typeform Enterprise is one of the strongest Qualtrics alternatives for organizations that prioritize simplicity, design, and respondent experience over maximum configurability.
Rather than competing feature for feature with traditional enterprise research platforms, Typeform focuses on creating surveys that respondents are more likely to complete and teams are more likely to enjoy building. For customer-facing feedback programs, marketing organizations, and companies where brand experience is a strategic consideration, that positioning makes Typeform Enterprise a compelling alternative to Qualtrics.
QuestionPro
Best for: Enterprise research teams seeking a balance of advanced research capabilities, enterprise features, and overall value.
QuestionPro has steadily evolved from a general survey platform into a credible enterprise research solution. Today, it’s frequently included in competitive evaluations alongside Qualtrics because it offers many of the capabilities organizations expect from an enterprise survey platform while maintaining a reputation for strong overall value.
For companies replacing Qualtrics, QuestionPro is often attractive for a straightforward reason: it aims to deliver much of the functionality of a traditional enterprise research platform without the complexity or investment that can accompany larger enterprise deployments.
While it may not have the same market presence as Qualtrics or the same AI-first strategy as newer platforms, it has become a serious option for organizations conducting customer, market, employee, and product research.
Overview
QuestionPro supports a broad range of research use cases from a single platform, including:
- Customer research
- Market research
- Product research
- Brand research
- Employee research
- Academic research
This flexibility makes it appealing to organizations looking to standardize on one research platform rather than maintaining separate tools for different departments.
Its product strategy has focused on expanding enterprise capabilities while remaining approachable for both experienced researchers and business users.
Research Capabilities
One of QuestionPro’s greatest strengths is the breadth of research methodologies it supports.
Organizations can conduct everything from straightforward customer satisfaction surveys to more sophisticated strategic research initiatives. Capabilities include support for:
- Conjoint analysis
- MaxDiff
- Gabor-Granger pricing
- Van Westendorp pricing
- Quotas
- Randomization
- Advanced branching and display logic
- Multilingual surveys
For many enterprise organizations, this level of methodological support is sufficient to meet the vast majority of research requirements. Companies migrating from Qualtrics can often continue running familiar research programs without making significant changes to their underlying methodologies.
Enterprise Features
QuestionPro includes the governance and administrative capabilities expected of an enterprise platform, including:
- Single Sign-On (SSO)
- Role-based permissions
- Team collaboration
- Administrative controls
- APIs
- Security and compliance capabilities
These features enable organizations to manage research across multiple teams while maintaining appropriate oversight and governance.
Although enterprises with highly customized deployments should validate their specific requirements, QuestionPro is generally capable of supporting large organizational rollouts.
AI Capabilities
Like many enterprise survey platforms, QuestionPro has incorporated AI to improve the research experience.
Its AI capabilities assist with activities such as survey creation, question refinement, and response summarization, helping researchers reduce manual effort during both survey design and analysis.
When evaluating Qualtrics alternatives, it’s worth looking beyond the presence of AI features and assessing how deeply AI is integrated throughout the research lifecycle. Questions to consider include:
- Does AI help determine the most appropriate methodology?
- Can it generate a complete research study from a business objective?
- Does it automate survey programming?
- Can it synthesize large volumes of qualitative feedback?
- Does it produce executive-ready reports and recommendations?
The answers to these questions often reveal more meaningful differences between platforms than the presence of AI features alone.
Survey Distribution
QuestionPro supports several common methods for distributing surveys, including:
- Email invitations
- Anonymous links
- QR codes
- Embedded surveys
Depending on an organization’s research strategy, it’s also worth evaluating participant recruitment options, panel integrations, CRM connectivity, and additional distribution channels that may become important over time.
Survey creation is only one part of enterprise research. Reaching the right respondents efficiently is equally important.
Ease of Use
Compared with many legacy enterprise research platforms, QuestionPro strikes a strong balance between flexibility and usability.
Researchers have access to advanced capabilities without the same level of platform administration or specialized expertise often associated with more complex enterprise deployments. That balance can be particularly appealing for organizations looking to expand research beyond centralized insights teams.
Business users can conduct many common research activities independently, while experienced researchers retain access to more advanced functionality when needed.
Where QuestionPro Excels
Compared with Qualtrics, QuestionPro is particularly strong for organizations that prioritize:
- Overall value
- Broad research methodology support
- Enterprise survey capabilities
- Flexible deployment
- Customer and market research
- Balance between usability and functionality
For organizations seeking enterprise capabilities without investing in the largest or most complex platform, these strengths make QuestionPro a compelling option.
Potential Considerations
QuestionPro has significantly expanded its enterprise capabilities, but organizations should recognize that its ecosystem remains smaller than those of some longer-established enterprise vendors.
Large multinational organizations should also evaluate implementation resources, integration requirements, and long-term product strategy alongside current functionality.
As with every platform in this guide, the right choice depends less on the total number of available features than on how well the platform aligns with your organization’s priorities.
Bottom Line
QuestionPro has become one of the strongest value-oriented alternatives to Qualtrics.
It combines support for sophisticated research methodologies, enterprise governance, and a broad range of research use cases in a platform that many organizations find more approachable than traditional enterprise research software.
For teams seeking to balance functionality, usability, and cost, QuestionPro merits serious consideration as a Qualtrics alternative.
Qualtrics Alternative Comparison Matrix
After reviewing the leading Qualtrics alternatives individually, the next step is comparing them side by side.
No enterprise survey platform is the best at everything. Some prioritize AI and workflow automation, while others focus on research depth, customer experience management, or ease of adoption across the business.
Instead of asking which platform has the longest feature list, ask which one best supports the way your organization wants to conduct research over the next several years.
| Capability | Sprig | SurveyMonkey Enterprise | Medallia | Forsta | Typeform Enterprise | QuestionPro |
|:-----------------------------------:|:-----------------------------:|:-------------------------:|:------------------------------:|:---------------------------:|:-----------------------:|:-------------------------:|
| Best For | AI-native enterprise research | Organization-wide surveys | Customer experience management | Professional research teams | Customer-facing surveys | Enterprise research value |
| Product Research | ⭐⭐⭐⭐⭐ | ⭐⭐⭐ | ⭐⭐⭐ | ⭐⭐⭐⭐ | ⭐⭐⭐ | ⭐⭐⭐⭐ |
| UX Research | ⭐⭐⭐⭐⭐ | ⭐⭐⭐ | ⭐⭐ | ⭐⭐⭐⭐ | ⭐⭐⭐ | ⭐⭐⭐⭐ |
| Market Research | ⭐⭐⭐⭐⭐ | ⭐⭐⭐ | ⭐⭐ | ⭐⭐⭐⭐⭐ | ⭐⭐ | ⭐⭐⭐⭐⭐ |
| Customer Research | ⭐⭐⭐⭐⭐ | ⭐⭐⭐⭐ | ⭐⭐⭐⭐⭐ | ⭐⭐⭐⭐ | ⭐⭐⭐⭐ | ⭐⭐⭐⭐ |
| Employee Research | ⭐⭐⭐⭐ | ⭐⭐⭐⭐ | ⭐⭐⭐⭐ | ⭐⭐⭐⭐ | ⭐⭐⭐ | ⭐⭐⭐⭐ |
| AI Research Assistance | ⭐⭐⭐⭐⭐ | ⭐⭐⭐ | ⭐⭐⭐ | ⭐⭐⭐ | ⭐⭐⭐ | ⭐⭐⭐ |
| Native Email Distribution | ✅ | ✅ | ✅ | ✅ | ✅ | ✅ |
| Research Panel Support | ✅ | Limited | Limited | Varies | Limited | Varies |
| In-Product Surveys | ✅ | No | Limited | No | No | Limited |
| Advanced Methodologies | ⭐⭐⭐⭐⭐ | ⭐⭐⭐ | ⭐⭐⭐ | ⭐⭐⭐⭐⭐ | ⭐⭐ | ⭐⭐⭐⭐⭐ |
| Enterprise Security & Governance | ⭐⭐⭐⭐⭐ | ⭐⭐⭐⭐ | ⭐⭐⭐⭐⭐ | ⭐⭐⭐⭐⭐ | ⭐⭐⭐⭐ | ⭐⭐⭐⭐ |
| Ease of Adoption | ⭐⭐⭐⭐⭐ | ⭐⭐⭐⭐⭐ | ⭐⭐⭐ | ⭐⭐⭐ | ⭐⭐⭐⭐⭐ | ⭐⭐⭐⭐ |
| Best Fit for Cross-Functional Teams | ⭐⭐⭐⭐⭐ | ⭐⭐⭐⭐⭐ | ⭐⭐⭐ | ⭐⭐ | ⭐⭐⭐⭐ | ⭐⭐⭐⭐ |
Key observations from the comparison:
Sprig stands out for organizations that want to modernize research around AI while supporting multiple research disciplines from a single platform. Its combination of AI-assisted workflows, native email distribution, integrated participant panels, and in-product surveys makes it particularly well suited for product-led organizations and enterprises looking to consolidate research tools.
SurveyMonkey Enterprise emphasizes accessibility. It is often the strongest choice for organizations that want employees across the business to create surveys without extensive training, even if they don’t require the most advanced research methodologies.
Medallia is purpose-built for continuous customer experience measurement. Organizations running large Voice of Customer programs will generally find its operational workflows and journey management capabilities stronger than traditional research platforms.
Forsta remains one of the strongest options for dedicated research organizations that require sophisticated methodologies, complex survey programming, and maximum flexibility.
Typeform Enterprise differentiates itself through respondent experience. Organizations that view surveys as an extension of their brand often prefer its conversational design and polished user experience.
QuestionPro provides one of the strongest balances between enterprise functionality, research depth, and overall value, making it a compelling option for organizations seeking broad capabilities without the complexity of larger enterprise platforms.
Ultimately, the right platform depends less on which one scores highest overall and more on which one aligns with your organization’s priorities. The next section explores common buying scenarios and recommends the strongest Qualtrics alternative for each.
Which Qualtrics Alternative Should You Choose?
The best Qualtrics alternative depends less on the platform you’re replacing and more on why you’re replacing it.
Two organizations can use Qualtrics in completely different ways. One may have a global research team running sophisticated pricing studies and brand tracking. Another may primarily use it for customer feedback and employee surveys. Although they’re evaluating the same product, they may arrive at entirely different decisions.
The scenarios below reflect the most common reasons organizations begin looking for a Qualtrics alternative.
If Qualtrics Has Become Too Expensive
Recommended: QuestionPro or SurveyMonkey Enterprise
For many organizations, a Qualtrics renewal is the first point at which procurement asks whether the platform continues to deliver sufficient value.
If your research requirements are relatively straightforward, you may not need every capability Qualtrics offers. QuestionPro is often a strong choice for organizations that still require enterprise-grade research capabilities but want a better balance between functionality and overall cost. SurveyMonkey Enterprise is also worth considering when the priority is broad survey adoption across the business with less administrative complexity.
The objective should not be to reduce licensing costs alone. Evaluate total cost of ownership, including implementation, training, administration, and the ongoing operational effort required to conduct research.
If Qualtrics Feels Too Complex
Recommended: Sprig or SurveyMonkey Enterprise
Qualtrics is exceptionally flexible, but that flexibility often comes with a steeper learning curve.
When the goal is to enable product managers, marketers, designers, customer success managers, and other business teams to conduct research independently, ease of use becomes increasingly important.
SurveyMonkey Enterprise emphasizes intuitive survey creation for a broad range of business users. Sprig combines a modern interface with AI-assisted workflows that help teams create higher-quality research while reducing the specialized expertise required to launch a study.
For organizations working to democratize research, usability often becomes a more important evaluation criterion than maximum configurability.
If You Want to Build an AI-First Research Organization
Recommended: Sprig
AI is becoming one of the biggest reasons organizations reevaluate their research stack.
While most enterprise survey platforms now include AI features, they differ significantly in how AI is applied.
If your goal is simply to draft survey questions faster, several platforms can help.
If your goal is to rethink the entire research workflow around AI, look for a platform that assists with:
- Study design
- Methodology selection
- Survey creation
- Survey programming
- Qualitative analysis
- Executive reporting
- Research recommendations
Organizations that expect AI to fundamentally reshape research over the next decade should evaluate how deeply AI is integrated throughout the platform rather than treating it as a standalone feature.
If You Need Advanced Market Research
Recommended: Forsta or QuestionPro
Some organizations conduct highly sophisticated research that extends well beyond standard customer surveys.
Examples include:
- Conjoint analysis
- MaxDiff
- Pricing research
- Brand tracking
- Segmentation
- Longitudinal studies
Forsta has long been recognized for supporting complex research methodologies and experienced research teams.
QuestionPro also offers broad methodological support while providing a different balance between enterprise functionality and overall value.
If methodological depth is your primary concern, these platforms deserve close evaluation.
If Customer Experience Is Your Top Priority
Recommended: Medallia
Not every organization is looking for a general-purpose research platform.
If your primary objective is to continuously measure and improve customer experiences across digital, retail, service, or contact center interactions, Medallia is purpose-built for that challenge. Its strengths include:
- Voice of Customer programs
- Journey analytics
- Operational dashboards
- Closed-loop feedback
- Customer experience management
For organizations focused primarily on customer experience initiatives, these capabilities are often more valuable than broader research functionality.
If You Want More Teams Conducting Research
Recommended: Sprig or SurveyMonkey Enterprise
Many organizations are expanding research beyond centralized insights teams. Today, it’s increasingly common for other roles to conduct their own research, such as:
- Product managers
- Designers
- Marketers
- Customer success managers
- Strategy teams
- Executives
Supporting this shift requires more than enterprise-grade security. It also requires software that’s approachable enough for occasional researchers while consistently producing trustworthy results.
Platforms that combine intuitive workflows with built-in guidance and AI assistance are often better positioned to scale research across the organization.
If You’re Consolidating Multiple Research Tools
Recommended: Sprig
Many enterprises have accumulated separate platforms for:
- Customer surveys
- Product research
- In-product feedback
- Market research
- Research panels
- Email distribution
Managing multiple tools increases costs, creates operational overhead, and fragments customer insights.
Organizations looking to consolidate research into a single platform should evaluate which vendors support the broadest combination of research types, distribution channels, and AI capabilities without requiring additional point solutions.
If You’re Replacing Decipher or Another Traditional Research Platform
Recommended: Sprig or Forsta
Organizations moving away from legacy market research platforms often have different priorities than companies replacing Qualtrics.
Rather than simply collecting surveys, they may depend on advanced methodologies, complex survey programming, quotas, and sophisticated sampling.
Forsta remains one of the strongest choices for organizations that want to preserve traditional enterprise research workflows.
Sprig is worth evaluating for organizations using the migration as an opportunity to modernize those workflows around AI while continuing to support advanced enterprise research.
There’s No Universal Winner
Every platform in this guide is capable of supporting enterprise research. The differences lie in philosophy. Some maximize configurability, others specialize in customer experience, emphasize ease of use, or are rebuilding research around AI.
The best Qualtrics alternative is the one that aligns with your organization’s future, not simply the one that most closely replicates your current implementation. Before making a decision, identify the problem you’re trying to solve. Once that’s clear, the shortlist usually becomes much smaller.
How to Migrate from Qualtrics to a New Survey Platform
Migrating from Qualtrics is often less difficult than organizations expect.
While enterprise research platforms can become deeply embedded over time, most organizations don’t need to recreate every survey, dashboard, or workflow before switching. In practice, successful migrations are usually phased, with new research projects launching on the new platform first while legacy programs are migrated over time.
The key is to treat the migration as an opportunity to modernize your research operations rather than simply replicating your existing implementation.
Step 1: Audit Your Current Qualtrics Environment
Before evaluating alternatives, understand how your organization actually uses Qualtrics today.
Many enterprise deployments accumulate years of surveys, templates, dashboards, and integrations that are no longer actively used.
Start by identifying:
- Active surveys and recurring programs
- Shared survey templates
- Custom branding and themes
- Contact lists and distribution lists
- Dashboards and reports
- User roles and permissions
- Integrations with CRM, analytics, and other business systems
- Custom workflows or automations
You’ll often discover that only a fraction of your existing assets need to be migrated immediately.
Step 2: Separate Core Requirements from Legacy Processes
One of the biggest mistakes organizations make is assuming every existing workflow should be preserved.
Instead, ask:
- Which workflows are business critical?
- Which exist simply because the platform required them?
- Which could be simplified using newer capabilities?
- Which should be retired entirely?
AI, modern survey builders, and improved automation have changed how many research tasks are performed.
A migration is an opportunity to eliminate unnecessary complexity rather than recreate it.
Step 3: Prioritize New Research First
Instead of migrating hundreds of historical surveys upfront, begin by launching new studies in your new platform.
This approach allows teams to:
- Learn the platform gradually
- Build confidence
- Develop new templates
- Establish best practices
- Minimize disruption
Recurring programs can then be migrated individually as they come up for redesign or renewal.
This phased approach typically reduces both risk and organizational resistance.
Step 4: Rebuild Your Core Templates
Most organizations rely on a relatively small number of recurring survey types.
Examples include:
- Customer satisfaction surveys
- Net Promoter Score (NPS)
- Product feedback surveys
- Concept tests
- Brand trackers
- Employee engagement surveys
- Pricing studies
Recreating these templates early provides a foundation that other teams can reuse, reducing future migration effort.
It’s also a good opportunity to improve question wording, simplify survey flows, and standardize branding.
Step 5: Validate Advanced Research Workflows
If your organization conducts sophisticated research, validate these capabilities before fully committing to a new platform.
Examples include:
- Conjoint analysis
- MaxDiff
- Gabor-Granger pricing
- Van Westendorp pricing
- Quota management
- Randomization
- Embedded variables
- Complex branching logic
- Multilingual surveys
Running a pilot study is often the fastest way to confirm that your critical research methodologies translate successfully.
Step 6: Plan Your Data Strategy
Historical survey data is often one of the biggest concerns during a migration.
Rather than attempting to recreate every historical dashboard, decide how previous research will be accessed going forward.
Questions to consider include:
- Will historical surveys remain archived in Qualtrics?
- Should historical response data be exported?
- Which reports need to remain accessible?
- Are there regulatory or compliance requirements for retaining research data?
Many organizations maintain read-only access to historical projects while conducting all new research on their new platform.
Step 7: Train More Than Researchers
If one of your migration goals is expanding research across the organization, don’t limit training to your Research Ops team.
Consider onboarding:
- Product managers
- Designers
- Marketing teams
- Customer success teams
- Strategy teams
- Executives who regularly review research
The most successful migrations increase research participation rather than simply changing software.
Step 8: Measure Success Beyond the Migration
The objective isn’t simply to replace Qualtrics.
It’s to improve how research is conducted.
After the migration, track metrics such as:
- Time to launch a new study
- Time from survey close to insights
- Number of studies conducted
- Number of active researchers
- Adoption across business teams
- Research turnaround time
- Stakeholder satisfaction
These operational improvements often create far more business value than the migration itself.
Common Migration Challenges
Every enterprise migration presents challenges, but most can be managed with proper planning.
Highly customized surveys
Organizations with years of custom logic or specialized workflows should prioritize these projects early in the evaluation process.
Change management
Researchers who have used Qualtrics for many years may naturally compare every workflow to the previous platform. Providing training and highlighting improvements in speed or usability can help accelerate adoption.
Integration dependencies
Review integrations with CRM systems, analytics platforms, data warehouses, and business intelligence tools before migrating production research.
Governance
Ensure that user permissions, approval workflows, branding standards, and security requirements are established before expanding the platform across multiple teams.
Migration Is an Opportunity to Improve
The most successful organizations don’t view migration as simply a technology project. They treat it as an opportunity to rethink how research is conducted.
Many enterprises implemented Qualtrics when research was centralized, AI wasn’t part of the workflow, and survey creation was largely confined to a small group of specialists. Today, those assumptions no longer hold. Research is faster, more collaborative, and increasingly supported by AI.
Rather than focusing solely on recreating existing workflows, ask a more strategic question:
If we were building our research organization from scratch today, how would we want it to operate?
The answer should inform not only your platform selection, but also your overall migration strategy.
Frequently Asked Questions About Qualtrics Alternatives
What is the best Qualtrics alternative?
The best Qualtrics alternative depends on your organization’s priorities.
- Sprig is best for organizations looking to modernize research around AI while supporting product, customer, market, and UX research from a single platform.
- SurveyMonkey Enterprise is best for broad survey adoption across business teams.
- Medallia is best for enterprise customer experience and Voice of Customer programs.
- Forsta is best for organizations conducting sophisticated market research and advanced methodologies.
- Typeform Enterprise is best for branded, customer-facing surveys.
- QuestionPro is best for organizations seeking a balance of enterprise capabilities and overall value.
Rather than looking for a universal winner, focus on the platform that best aligns with how your organization conducts research.
Why do companies switch away from Qualtrics?
The most common reasons include:
- High licensing costs
- Platform complexity
- Faster research workflows
- Better AI capabilities
- Broader adoption across business teams
- Consolidating multiple research tools
- Modernizing legacy research processes
In many cases, organizations are not replacing Qualtrics because it lacks functionality. They’re replacing it because their research organization, operating model, and technology priorities have evolved.
Is Qualtrics still the market leader?
Qualtrics remains one of the largest and most widely adopted enterprise survey platforms in the world. Its strengths include enterprise governance, advanced research methodologies, global deployments, and extensive configurability.
Newer platforms, however, have introduced different approaches centered on AI, ease of use, and workflow automation. As a result, many enterprise buying decisions now evaluate Qualtrics alongside a broader set of alternatives rather than treating it as the default choice.
Which Qualtrics alternative has the best AI?
If AI is a primary evaluation criterion, look beyond AI-generated survey questions.
Evaluate how AI supports the entire research lifecycle, including:
- Research planning
- Methodology selection
- Survey creation
- Survey programming
- Qualitative analysis
- Executive reporting
- Research recommendations
Organizations that expect AI to become a core part of their research workflow should prioritize platforms that embed AI throughout the product rather than limiting it to isolated capabilities.
Which Qualtrics alternative is easiest to use?
SurveyMonkey Enterprise and Typeform Enterprise are generally recognized for their approachable user experiences.
Sprig also places a strong emphasis on usability while combining it with AI-assisted workflows that help teams produce high-quality research more efficiently. The right choice ultimately depends on whether your priority is simple survey creation or support for more sophisticated enterprise research.
Which alternative is best for enterprise research?
Organizations conducting advanced market research often evaluate:
Each supports a broad range of enterprise research use cases and methodologies, although they differ in philosophy, workflow design, and areas of emphasis.
Which Qualtrics alternative is best for product teams?
Product organizations often prioritize:
- Fast study creation
- In-product surveys
- AI-assisted analysis
- Rapid iteration
- Collaboration across product, design, and research
Platforms designed around these workflows may provide a better fit than traditional enterprise research platforms originally built for centralized insights teams.
Which platform is best for customer experience programs?
Organizations focused primarily on customer experience management should closely evaluate Medallia.
Its strengths include:
- Voice of Customer
- Customer journey measurement
- Closed-loop feedback
- Operational analytics
- Enterprise CX programs
These capabilities are specifically designed for organizations measuring customer experience continuously across multiple touchpoints.
Can I migrate my existing Qualtrics surveys?
Yes. Most organizations migrate successfully by taking a phased approach.
Rather than recreating every historical survey immediately, many teams:
- Launch new research in the new platform.
- Rebuild commonly used templates.
- Migrate recurring programs over time.
- Preserve historical data separately for reporting and compliance.
This approach minimizes disruption while giving teams time to become proficient with the new platform.
How long does it take to migrate from Qualtrics?
The timeline depends on the size and complexity of your implementation.
Organizations with a small number of active surveys may complete a migration within a few weeks. Large enterprises with hundreds of recurring surveys, custom integrations, and complex governance models often require several months to complete the transition.
A phased rollout is generally lower risk than attempting a full migration all at once.
Can one platform support product, customer, market, and employee research?
Increasingly, yes.
Many enterprise organizations are consolidating multiple research tools onto a single platform to reduce costs, simplify governance, and create a more consistent experience for both researchers and participants.
When evaluating alternatives, consider not only your current research portfolio but also the types of studies your organization expects to conduct over the next several years.
What features should I prioritize when replacing Qualtrics?
Rather than comparing hundreds of individual features, focus on the capabilities that have the greatest long-term impact:
- Enterprise security and governance
- Research methodology support
- AI capabilities
- Survey distribution
- Participant recruitment
- Ease of use
- Reporting and analytics
- Integration ecosystem
- Total cost of ownership
These factors typically have a greater influence on long-term success than any individual survey feature.
Is replacing Qualtrics worth it?
For some organizations, absolutely. For others, remaining on Qualtrics continues to be the right decision.
If your current implementation meets your research needs, your teams are productive, and you have no plans to significantly change how research is conducted, there may be little reason to switch.
If your priorities include reducing complexity, accelerating research with AI, expanding adoption across the business, or modernizing research operations, it’s worth evaluating how the market has evolved before renewing your next contract.
The best platform is not necessarily the one with the most features. It’s the one that best supports how your organization intends to generate customer insights over the next decade.
Final Recommendation
Choosing a Qualtrics alternative isn’t about finding the platform that’s most similar to Qualtrics. It’s about finding the platform that best aligns with how your organization wants to conduct research going forward.
Qualtrics remains one of the strongest enterprise research platforms available. Its configurability, methodological depth, enterprise governance, and global scale continue to make it an excellent choice for many organizations, particularly those with mature research operations and highly customized workflows.
The enterprise research market, however, has evolved. Research is no longer confined to centralized insights teams. Product managers, designers, marketers, customer success managers, and executives increasingly rely on customer feedback to inform decisions. At the same time, AI is reducing the manual effort required to design studies, analyze responses, and communicate findings. Together, these shifts have created space for a new generation of enterprise survey platforms, each built around a different philosophy.
For organizations looking to modernize research around AI while supporting product, customer, market, and UX research from a single platform, Sprig is our top recommendation. Its AI-native approach, enterprise capabilities, native email distribution, integrated participant panels, and in-product surveys make it one of the most compelling alternatives for teams moving beyond traditional survey software.
If broad survey adoption across the business is the priority, SurveyMonkey Enterprise is an excellent choice. Its simplicity and familiarity make it well suited for organizations where many teams create surveys independently.
Organizations focused primarily on customer experience should continue to consider Medallia. It remains one of the industry’s leading platforms for Voice of Customer programs, journey analytics, and operational experience management.
For teams that depend on advanced market research methodologies and sophisticated research workflows, Forsta provides the depth and flexibility that experienced researchers often require.
When respondent experience and brand presentation take precedence, Typeform Enterprise stands out for its conversational survey experience and polished interface.
Organizations seeking broad enterprise research capabilities with a strong balance of functionality and value should also give QuestionPro serious consideration.
Ultimately, the right decision starts with understanding the problem you’re trying to solve.
If cost is the primary reason for replacing Qualtrics, evaluate total cost of ownership rather than subscription price alone. If complexity is the concern, assess how quickly non-researchers can create trustworthy studies. If AI is driving the evaluation, compare how each platform supports the entire research lifecycle rather than simply checking whether it includes AI features. And if the goal is to future-proof your research organization, look beyond today’s feature set and consider where each vendor is investing over the next five to ten years.
Enterprise survey platforms are long-term investments. Most organizations remain on the same platform for many years, making this a strategic decision rather than a tactical one. The best Qualtrics alternative is not necessarily the platform with the longest feature list. It’s the one that helps your organization generate better customer evidence, make faster decisions, and adapt as research continues to evolve.
Whether you choose Sprig, SurveyMonkey Enterprise, Medallia, Forsta, Typeform Enterprise, or QuestionPro, taking the time to evaluate your options before your next renewal will help ensure your next platform supports not only the research you conduct today, but the research you’ll be conducting years from now.
