Top 7 Medallia Alternatives for 2025 (Free & Paid Text Analysis Tools)

In today’s experience-driven economy, understanding what your customers and employees think and feel isn’t just a competitive advantage—it’s a necessity. Platforms like Medallia have helped businesses tap into the voice of the customer (VoC) through advanced feedback collection and analysis. But as the market matures and needs diversify, many teams are beginning to ask "Is Medallia still the best fit for us?"

Medallia is undoubtedly a powerful tool. It's known for its enterprise-grade infrastructure, AI-powered insights, and deep customization options. However, with that power often comes complexity, a high price tag, and long implementation timelines—factors that may not suit every organization, especially startups or fast-moving teams looking for agility and clarity.

Whether you're a product manager seeking faster insights, a marketing team looking to decode customer sentiment, or a CX leader exploring smarter ways to act on feedback, there’s now a growing landscape of alternative tools that offer comparable (or even better) performance in specific areas—often with more affordable and accessible pricing.

This guide is designed to help you explore your options. From text analysis platforms built for agile research to specialized tools focused on product feedback or employee engagement, there’s likely a solution that fits your workflow better than Medallia ever did.

Let’s dive in and find the right tool for your team.

Medallia Overview

Medallia is one of the most established customer and employee experience management platforms on the market. Founded in 2001, it’s designed to help organizations capture feedback across every touchpoint—web, mobile, in-store, contact center—and turn that data into actionable insights using AI and machine learning.

The platform’s strength lies in its ability to collect massive volumes of feedback, analyze it in real time, and help companies proactively respond to customer and employee concerns. From Net Promoter Score (NPS) surveys to detailed sentiment and behavior analysis, Medallia is a go-to choice for enterprises that prioritize customer experience (CX) and brand loyalty at scale.

It’s widely used in sectors like:

• Financial services
• Retail
• Hospitality
• Healthcare
• Government and public services

But as we’ll explore below, the same enterprise-grade power can sometimes be a limitation, especially for smaller or faster-moving teams.

Medallia Pricing

Medallia uses a usage-based pricing model centered on something they call the Experience Data Record (EDR)—a unit that represents a complete customer or employee interaction. In theory, this approach is designed to support richer, organization-wide insights without penalizing you for collecting more data.

However, this model comes with several limitations, especially for small to mid-sized teams:

📌 No transparent pricing: Medallia doesn’t disclose any pricing tiers publicly. Getting a quote requires a sales call, and the total cost can vary significantly depending on usage volume, features enabled, and integration needs.

📌 Enterprise-focused pricing: While the EDR model includes access to all platform features, it’s ultimately built for large organizations with big data volumes and complex workflows. For many teams, this means paying for far more than they actually need.

📌 Hard to test or pilot: There’s no self-service sign-up, no free trial, and no way to explore the platform without going through formal procurement processes.

Why This Matters

For businesses looking to move fast, experiment, and scale incrementally, Medallia’s model can feel restrictive and costly. Even if the platform is technically robust, the entry barriers are high, and the lack of pricing transparency makes it difficult to evaluate ROI before committing.

Medallia Reviews

Like many enterprise-level platforms, Medallia receives a mix of praise and criticism from its users. Here’s a breakdown of the most commonly mentioned like and dislikes based on public reviews:

🧡 What Users Like?

“Customer Experience is that it lets you discern patterns in customer feedback that aren’t immediately apparent. It helps us notice where the problems keep returning, and what us’ driving happiness, so we can prioritize what is crucial. The deep insights provided from customer emotions helped us adjust our strategy and better engage. As we grow, it learns to ensure we are always on point with customer expectation and one step ahead of potential problems so that our service can be more responsive.”

💔 What Users Struggle With?

“One thing I’ve found challenging about Medallia Customer Experience has been how feedback flows are managed. The system is also very heavy on manual effort to organize insights and carry them across teams. The result of this is that valuable feedback can be delayed in actioning when many departments are involved. The platform provides valuable data but its structured workflow leaves us guessing regarding how swiftly and efficiently to address an issue. In fact, understanding how the data is going to become a meaningful action often requires many steps.”

Why You Need a Medallia Alternative

While Medallia remains a well-known name in the customer and employee experience space, it’s not the perfect fit for every organization. Especially for companies that prioritize agility, scalability, and cost-efficiency, Medallia may feel more like a heavyweight than a strategic advantage.

Here are the key reasons why many teams are actively searching for alternatives to Medallia in 2025:

💰 1. High Cost, Limited Flexibility
Medallia is an enterprise-grade platform, and it’s priced accordingly. Its pricing model—based on Experience Data Records (EDRs)—can be difficult to estimate, especially for smaller teams.

Add-ons, premium features, and integrations can significantly drive up costs. For many small to mid-sized companies, it simply doesn’t align with modern SaaS expectations around pricing transparency and modular scalability.

⚙️ 2. Complex Implementation & Onboarding
Medallia implementations often take weeks or even months, requiring involvement from technical teams, consultants, and internal training sessions. While the platform is powerful, this level of complexity can become a barrier—especially when faster deployment is a business priority.

📊 3. Weakness in Advanced Text Analytics
Although Medallia offers text analytics, it's not the platform’s primary focus. Teams looking to extract insights from large volumes of open-ended feedback often find the native capabilities underwhelming. Many users report the need for external tools or manual effort to get actionable insights from qualitative data.

🔄 4. Limited Customization & Survey Design
If you require custom-built surveys, advanced logic, or hyper-specific customer journey tracking, you may find Medallia’s options too rigid. Many alternatives offer more intuitive and flexible survey builders that allow faster experimentation and iteration.

🔌 5. Integration Challenges
For companies that operate across multiple tools, seamless integration is key. However, Medallia’s integrations often require development support or additional services, unlike newer platforms that prioritize plug-and-play architecture with native integrations and open APIs.

In short, if you value speed, transparency, text intelligence, and affordability, it’s worth exploring more modern and focused alternatives.

Top Medallia Alternatives

1. Kimola vs Medallia 

Kimola is a no-code qualitative research platform designed to help businesses quickly and easily analyze customer feedback from multiple sources. It automatically scrapes reviews from platforms like the App Store, Google Reviews, Amazon, Tripadvisor, and social media. Using advanced natural language processing (NLP) and machine learning, Kimola classifies and interprets unstructured text data to generate actionable insights, enabling teams to understand customer sentiment, identify key themes, and drive better business decisions—all without requiring technical expertise.

Kimola offers the following:

• No-code, drag-and-drop interface to upload and analyze data without manual labeling
• Automated review scraping from 30+ sources including app stores, review sites, social media, and news
• Pre-built AI models for sentiment analysis, thematic classification, and industry-specific use cases
• Dynamic Classification technology that understands context and clusters data meaningfully
• Aspect-based Sentiment analysis that breaks down feedback into specific themes and assigns sentiment to each, highlighting what delights customers and what needs improvement
• Multi-label classification, allowing analysis of multiple topics within a single review
• Support for 30+ languages with simultaneous multilingual analysis
• Custom AI model training with AutoML — fast, accurate, and no coding required
• Automated generation of executive summaries, SWOT analyses, customer journey maps, and marketing content using GPT integration
• 70% time savings on reporting with easy export of reports to PDF and PowerPoint for seamless sharing
• Centralized datasets for managing all feedback in one place
• Advanced search and filtering across all customer feedback
• High classification accuracy (around 95%) ensuring reliable insights

Additionally, Kimola provides free product usage, so you can try the platform right away without any commitment.

Kimola Pricing

At Kimola, we value transparency and simplicity. Our pricing plans are openly available to everyone, designed to meet the needs of businesses at every stage — from startups to large enterprises. Select the plan that best suits your volume and feature requirements, with no hidden fees or surprises.

• Starter: Always free, includes 150 queries per month with essential features
• Basic: $49/month, supports 3,000 queries with custom AI models and GPT credits
• Standard: $179/month, ideal for growing needs with 12,000 queries and advanced AI tools
• Business: $359/month, designed for larger volumes with 30,000 queries and premium support
• Enterprise: Tailored solutions with custom pricing, dedicated account management, and full API access

For full details and features, see all plans & features.

Kimola Reviews

🧡 What Users Like?

“I loved that I can automatically classify customer feedback, scrape reviews from sources by only pasting links and analyze themes with multi-labels. The onboarding process was super easy and support was also great. Also creating interpretations such as buyer personas made everything easy and exporting reports to Powerpoint was super cool so I didn’t have to prepare the full report all by myself. The ready-made Powerpoint file saved us hours before the client presentation. The "Feature Requests" analysis about the competition was an incredible resource for our product development research. We have easily integrated that know-how to our process. Kimola is recently becoming my go-to tool during every market analysis.”

💔 What Users Struggle With?

“It would be great if I can customize Powerpoint slides by our corporate brand colors.”

2. Chattermill vs Medallia

Chattermill is a customer experience analytics platform that uses artificial intelligence to unify and analyze customer feedback across multiple channels—such as surveys, support tickets, app reviews, social media, and more. Founded in 2015, Chattermill helps businesses turn unstructured feedback into actionable insights by applying machine learning to detect sentiment, key themes, and anomalies.

Its goal is to give CX, product, and support teams a deeper understanding of customer pain points and motivations—all in one place—so they can make smarter, faster decisions that improve customer satisfaction and loyalty.

Compared to Medallia, Chattermill offers a more agile and user-friendly approach to customer feedback analysis. While Medallia is a robust, enterprise-grade platform known for its wide-ranging capabilities in managing both customer and employee experiences, it often requires significant setup time, training, and ongoing support. Chattermill, by contrast, is purpose-built for analyzing unstructured feedback using AI-powered insights—making it a strong choice for teams seeking fast, scalable, and theme-based analysis without the overhead. It integrates seamlessly with tools like Zendesk and SurveyMonkey, and its deep learning models automatically detect sentiment and key themes, providing a modern, plug-and-play experience for teams that value speed and usability over complex configuration.

However, Chattermill has a few limitations according to user feedback:

1. Steep learning curve: Although the interface is intuitive, some users find it takes time to fully understand how to leverage dashboards, filters, and custom tagging options.
2. Limited customization: Out-of-the-box flexibility can be restricted, particularly for advanced workflows or tailored reporting—often requiring developer support or access to enterprise-level features.
3. Opaque pricing model: Chattermill uses a credit-based pricing system rather than transparent per-user plans. For some teams, this makes it harder to forecast costs, and scaling beyond usage limits can become unexpectedly expensive.

Chattermill Pricing

Chattermill does not publicly list standardized pricing; instead, it offers custom plans based on:

• Number of feedback data source integrations (e.g., Zendesk, SurveyMonkey)
• Volume of data credits (each credit = one feedback item—survey response, review, ticket, etc.)

Example tiers include:

• Pro: 2 data sources & 10K credits/month
• Team: 3 sources & 30K credits/month, plus historical data import
• Enterprise: 5 sources & 100K+ credits, with custom roles, data roll‑over & advanced security.

All plans include unlimited users, dashboards, reports, language support, onboarding, and a dedicated Customer Success Manager.

Chattermill Reviews

🧡 What Users Like?

“What I like about using Chattermill is the ability to automatically categorise feedback by user, team, and site, which makes it easy to pinpoint exactly where issues or successes are occurring within the business. This helps us understand patterns across different points of contact and allows each team to focus on what’s relevant to them. The platform makes it much more efficient to identify trends and ultimately deliver a better customer experience.”

💔 What Users Struggle With?

“The interface can sometimes feel unintuitive, especially when trying to filter or drill down into specific feedback segments. It takes a few more clicks than necessary to get to the insights I need, which can slow down analysis in a time-limited crunch.”

3. Thematic vs Medallia

Thematic is an AI-driven customer feedback analysis platform designed to extract meaningful insights from unstructured data such as surveys, reviews, support tickets, and social media posts. Using advanced natural language processing (NLP), Thematic automatically identifies key themes and sentiment in customer feedback, helping businesses understand customer needs, prioritize improvements, and track trends over time. 

When comparing Medallia and Thematic, it’s important to consider both their strengths and limitations to understand which platform better suits your organization’s needs.

Medallia relies on a rule-based system where users create their own topic models by defining specific rules and structures. This setup can be time-consuming and often requires assistance from Medallia specialists to implement changes, which may add both cost and delay. Additionally, when working with new or unfamiliar datasets, the setup process needs to be repeated to ensure accurate analysis. In contrast, Thematic employs an AI-driven, bottom-up approach that automatically identifies themes from the text data and organizes them into a hierarchical structure. This structure can be quickly customized on the spot, offering more flexibility and faster setup, allowing users to connect new datasets and start analyzing with minimal delay.

When it comes to understanding customer feedback, Medallia organizes responses into broad themes and highlights volume, but users often need to dig through many comments to grasp the full context, as the insights can be quite general. Thematic, on the other hand, allows users to filter feedback based on what matters most and delivers actionable insights more directly, aided by its AI-powered Theme Summarizer that provides quick summaries of each theme.

In terms of ease of use and cost, Medallia’s setup and customization typically require more time and specialist support, reflecting its enterprise-focused pricing model with significant implementation investments. Thematic offers a more user-friendly experience, enabling teams to get started quickly and manage changes independently, often at a more accessible price point, which is reflected in generally positive user feedback on usability.

However, Thematic does have some drawbacks compared to its competitors:

One frequently mentioned challenge is the setup process, which some users find complex and time-consuming. Defining the right themes often requires multiple adjustments and ongoing fine-tuning to achieve the desired accuracy.

Another limitation relates to sentiment analysis, where users have reported inconsistencies between Thematic’s sentiment scores and the actual tone of customer feedback.

Navigating the platform can also be cumbersome for some users, particularly when trying to filter data by specific fiscal quarters or custom timeframes that don’t align with the predefined options, resulting in extra clicks and time spent.

In terms of reporting, users feel that Thematic’s dashboard and sentiment reports could be improved to provide quicker and clearer overviews of overall customer sentiment.

Finally, while Thematic users frequently request more integrations, some competitors provide a broader range of integrations and automated data scraping features, making it easier to gather customer feedback from diverse sources seamlessly.

Thematic Pricing

Thematic offers two main plans tailored to user needs: Foundation and Enterprise. Both plans come equipped with advanced text analysis features, including thematic and sentiment analysis, advanced analysis tools, dashboards and reports, workflows, summarizer, Thematic Answers with a natural language interface, as well as API and one-click integrations.

Foundation

• Comment volume: Up to 25,000
• Datasets: Up to 3

Enterprise

• Comment volume: Custom (flexible, based on client needs)
• Datasets: Custom (flexible, based on client needs)

Thematic Reviews

🧡 What Users Like?

“It is so helpful to see our feedback organized around central themes and then see the sub-themes within the main ones. The numerous options for filtering our data give many different ways to look at and interpret the information. I also appreciate that there is an unlimited number of users for the system. This lets us assign access to the system and then our users can determine and pull the information that is most important to them based on their role within our company.”

💔 What Users Struggle With?

"I wouldnt say this is a dislike related to the software specifically, but its a bit challenging for the initial setup. There are many ways to look at data and establishing your primary themes can be a bit challenging. The team at thematic was great to help build those early themes but then as we thought it about it more, we realized we needed to adjust those. It takes time to think through the best way to represent your data and its not something to just casually attempt.

Early on, we had to tweak and re-tweak our setup. Again, not a reflection on the technology but more a learning curve to working with our data."

4. Unit Q vs Medallia

Unit Q is a product insights platform designed to help product, engineering, and support teams monitor and improve app quality by analyzing real-time user feedback from various channels such as app reviews, Zendesk tickets, and social media. It leverages AI to categorize feedback and identify actionable issues. 

When comparing Medallia and Unit Q, it’s important to note that both platforms offer robust experience insights, yet each has its own nuances and limitations:

Pricing transparency:

Neither Unit Q nor Medallia publish list prices publicly. This means prospective customers must directly contact each vendor to obtain tailored quotes and accurately assess cost-effectiveness.

Focus and use case:

Unit Q is heavily geared toward product and engineering teams monitoring real‑time app quality. Its niche specialization may mean fewer enterprise-wide experience management features.

Medallia is designed for broad-scale customer experience programs across multiple industries. However, this generalist approach might seem overwhelming if your primary need is focused on app‑level feedback.

Integrations and customization:

Unit Q covers key channels like app reviews and support tickets, but its integration catalog may be narrower compared to Medallia’s.

Medallia supports a wider range—surveys, mobile/web, IoT, social—with extensive customization for enterprise deployments.

Unit Q Pricing

Unit Q does not publicly disclose its pricing on its official website. However, third-party sources such as the AWS Marketplace suggest that Unit Q operates on a usage-based pricing model. For example, a 12-month contract is listed at $150,000 per year for up to 25,000 monthly feedback units, with additional usage costing $50,000 per extra units. Discounts are reportedly available for longer-term commitments (up to 11% off for 36-month contracts).

That said, these figures are not officially confirmed on Unit Q’s website, and actual pricing may vary depending on your needs and negotiation. For an accurate quote, it’s necessary to contact Unit Q directly.

Unit Q Reviews

🧡 What Users Like?

“UnitQ has become a crucial part of our strategy to harness customer feedback. Its powerful NLP capabilities allow us to gather and analyze data from multiple channels, helping us identify trends, prioritize pain points, and drive meaningful product changes. As a daily user and internal advocate, it’s an effective solution for any organization looking to understand the voice of the customer on a large scale. Bringing more than 20 disparate qualitative data sources together for a unified VOC that is easy to analyze and categorize has been essential for our team. Integrating new sources is relatively easy, especially with many of the existing pre-built integrations. Additionally, we appreciate the opportunity that still lies ahead for our team. We have been able to build the metadata foundation in order to analyze by cohort yet also understand the journey any user has with our brand.”

💔 What Users Struggle With?

“While UnitQ provides substantial value, there are areas where more refinement would elevate the experience. Occasionally, we face minor inconsistencies in data quality, timeline delays, and metadata handling, which slightly impact the tool’s reliability. However, these issues are outweighed by the overall impact UnitQ has had on our workflow and our ability to respond to customer needs.”

5. Enterpret vs Medallia 

Enterpret is an AI-powered customer feedback analytics platform designed to help product, customer experience (CX), and support teams turn diverse user feedback into actionable insights:

• Centralizes feedback from multiple channels (e.g. app reviews, support tickets, surveys, social media) into one repository.
• Uses custom, adaptive NLP models to tag, categorize, and surface themes and trends tailored to your business needs.
• Offers intuitive UI features like a “Wisdom” copilot for summarization, trend detection, and real-time alerts.

When comparing Medallia and Enterpret, it’s clear that both platforms aim to help organizations extract insights from customer feedback — but they differ significantly in focus, approach, and flexibility:

Target Audience & Use Case:

• Enterpret is built primarily for product, CX, and support teams who need real-time, AI-driven analysis of feedback from diverse sources like app reviews, support tickets, and community forums.
• Medallia is designed for enterprise-level experience management, supporting both customer and employee experience (CX/EX) across touchpoints including surveys, digital channels, contact centers, and IoT.

AI & Analytics Capabilities:

• Enterpret uses adaptive NLP models tailored to each business, offering customizable taxonomies, trend detection, and summarization features through tools like its "Wisdom" copilot.
• Medallia provides a broader suite of advanced analytics, including journey orchestration, sentiment analysis, and predictive intelligence—often within complex enterprise environments.

Pricing Transparency:

• Both platforms require direct contact for quotes. However, third-party sources suggest Enterpret's entry pricing starts around $1,000/month, while Medallia’s pricing is more opaque and likely higher, depending on enterprise needs and scale.

Integration & Customization:

• Enterpret supports integrations via APIs, CSV, and built-in connectors for key feedback sources.
• Medallia offers extensive enterprise integrations with CRM, ERP, survey platforms, mobile/web touchpoints, and even IoT.

User Experience:

• Enterpret is praised for its intuitive UI and speed in delivering insights to non-technical users.
• Medallia, while robust, can have a steeper learning curve and may require onboarding and training for enterprise users.

Enterpret Pricing

Enterpret does not offer fixed list prices and operates on a custom plan model based on the volume of feedback data and the integrations required. The official website states that pricing is tailored to each customer’s needs, and interested users must fill out a form to receive a personalized quote.

According to SoftwareAdvice, plans start at approximately $1,000 per month. However, free trials or freemium options are not currently available, meaning potential customers must commit without hands-on testing unless arranged through direct contact.

Enterpret Reviews

🧡 What Users Like?

“The dashboards are intuitive, data integration is seamless, and the customer success team is outstanding—arguably their biggest strength. We've been using Enterpret for the past two years and have been consistently satisfied with the product. As the primary owner of our voice of customer (VoC) program, I rely on its insights to drive our initiatives. The team has been impressively fast in rolling out new features like Wisdom (a chat interface) and text-to-filter functionality. Definitely a company to watch in this space!”

💔 What Users Struggle With?

“The insights provided can feel somewhat surface-level, requiring us to manually sift through feedback to extract meaningful takeaways. While identifying trends is helpful, generating actionable product insights for PMs remains a challenge. It would be great to have nesting or hierarchy within reasons for better organization. Additionally, as a B2B company, much of our feedback comes from social platforms like LinkedIn, so an integration for that would be valuable. There’s still a gap between insights and truly actionable recommendations, though this may be more of a general GenAI limitation rather than a specific issue with this product.”

6. Text IQ vs Medallia

Text IQ is an AI-powered platform specializing in analyzing unstructured text data to identify sensitive content, reduce risk, and improve compliance. It uses natural language processing (NLP) and machine learning to detect harassment, discrimination, privacy breaches, and other compliance-related issues within emails, chat messages, documents, and other communication channels. Text IQ helps organizations proactively manage risk, conduct investigations, and maintain a healthier workplace culture.

When compared to experience management platforms like Medallia, Text IQ stands out with its focus on internal communication analysis and risk mitigation, while Medallia takes a broader approach to external customer and employee experience. Here’s how the two platforms differ across key dimensions:

Primary Focus

• Text IQ focuses on risk mitigation and compliance by analyzing internal communications and unstructured data to detect potential legal and HR issues.
• Medallia provides a comprehensive customer and employee experience management platform aimed at capturing feedback across multiple touchpoints to improve overall experience and loyalty.

Use Cases

• Text IQ is used mainly for compliance, legal investigations, and internal risk management.
• Medallia serves broader CX/EX programs, including customer satisfaction surveys, employee engagement, and journey analytics.

Technology

• Both platforms leverage AI and NLP, but Text IQ emphasizes sensitive content detection, privacy protection, and risk analytics, while Medallia focuses on sentiment analysis, journey orchestration, and predictive analytics.

Pricing

• Pricing details for both companies are typically customized and not publicly disclosed; interested buyers must contact vendors directly.

Integration and Deployment

• Text IQ integrates with communication platforms like email systems and chat applications to monitor internal data streams.
• Medallia supports extensive integrations across customer-facing channels including surveys, web, mobile apps, and IoT devices.

Ultimately, while Medallia offers a broad, enterprise-grade experience management suite designed for large-scale CX and EX programs, specialized platforms like Text IQ cater to more focused needs such as compliance and risk management within internal communications.

Text IQ Pricing

Text IQ, part of Relativity’s AI platform, does not publish pricing on its official website; instead, pricing is described as flexible and enterprise-focused, with costs depending on data volume, deployment model, and feature requirements. Organizations must contact the vendor for a custom quote.

7. Qualtrics XM vs Medallia

Qualtrics XM (Experience Management) is a comprehensive cloud-based platform designed to help organizations measure, manage, and improve experiences across four core areas: Customer (CX), Employee (EX), Product (PX), and Brand (BX). It collects data through surveys, behavioral tracking, and operational systems, and uses advanced analytics—including AI, machine learning, and natural language processing—to extract insights and recommend actions.

Qualtrics XM empowers organizations to:

• Design and distribute surveys across multiple channels (web, mobile, email, app, SMS, etc.)
• Analyze feedback using real-time dashboards, sentiment analysis, and text analytics
• Automate actions based on feedback through workflows and integrations
• Manage entire experience programs at scale, including voice of customer (VoC), employee pulse, brand tracking, and product usability

It’s widely used across industries like healthcare, finance, retail, education, and technology to drive loyalty, satisfaction, and growth by closing experience gaps.

When comparing Medallia or other competitors to Qualtrics XM, the differences often come down to flexibility, user interface, and ecosystem breadth. While both platforms offer robust solutions for capturing and analyzing customer and employee feedback, Qualtrics XM is known for its highly customizable survey engine and strong academic roots, making it ideal for organizations that prioritize advanced research capabilities and flexibility in experience program design. Medallia, on the other hand, shines in operationalizing insights at scale, with powerful real-time feedback loops, predictive analytics, and a focus on enterprise-grade deployments. Depending on the organization’s size, use case, and preference for either depth of customization or turnkey execution, one may be more suitable than the other.

Qualtrics XM Pricing

Qualtrics has not publicly disclosed pricing details for its XM platform. Pricing is customized based on factors like company size, usage volume, modules (CX, EX, PX, BX), and required integrations. Interested organizations must contact Qualtrics directly to receive a tailored quote.

Unfortunately, Qualtrics does not offer a free trial for its Experience Management (XM) solutions. However, it does provide a separate free account for its survey platform with limited functionality—this is not equivalent to the full XM suite.

Qualtrics XM Reviews

🧡 What Users Like?

“It offers powerful features for building custom surveys and analyzing data in depth. The logic tools and reporting dashboards help us identify patterns and improve strategy across multiple teams."

💔 What Users Struggle With?

“The learning curve can be steep, especially for new users. Some features feel buried under layers of menus, and the pricing is on the higher end for small businesses.”

Conclusion

While Medallia has long been a leader in experience management, its complexity, cost structure, and enterprise focus can make it less accessible for fast-moving teams. In contrast, Kimola offers a refreshing alternative—bringing powerful, AI-driven qualitative analysis to your fingertips with zero coding required. Whether you're a startup or a growing business, Kimola’s transparent pricing, instant usability, and multilingual capabilities empower teams to make data-driven decisions without lengthy onboarding or hidden fees. If you're looking for a smarter, simpler way to understand your customers in real time, Kimola stands out accessible and modern alternative in 2025.