Top 6 User Evaluation Alternatives & Competitors

Mar 28, 2024 - 2 min read
Top 6 User Evaluation Alternatives & Competitors

Analyzing customer feedback with artificial intelligence (AI) has become a valuable tool for companies. Businesses can leverage AI technologies to go beyond traditional methods in evaluating customer feedback. Traditionally, humans often conduct customer feedback analysis, which can be time-consuming. However, AI can analyze large amounts of data quickly and at a lower cost. AI can analyze the emotional tones in customer feedback, utilizing emotional analysis and emotional intelligence techniques to identify positive and negative sentiments. This enables companies to understand better emotional aspects such as customer satisfaction, complaints, and suggestions. Additionally, AI can identify specific themes and trends by analyzing large amounts of customer feedback. For example, a series of consecutive negative comments about a product may indicate a particular issue that needs to be addressed.

In this blog post, I'd like to introduce six alternatives for one of the most popular feedback analysis software, User Evaluation and talk about three things:

  • Features
  • Pricing
  • Why I chose them as alternatives (Pros and Cons)

Now it's time to talk about alternatives to User Evaluation!

What is User Evaluation?

Platform offering customer insights and analysis. User Evaluation is an AI-powered customer understanding platform that helps users uncover valuable customer insights quickly and easily. It provides a self-serve product that offers AI-generated insights, research reports and presentations, generative data visualizations, and accurate transcriptions.

userevalution dashbord

What kind of AI features does User Evaluation use?

Before we jump right into our alternatives, User Evaluation utilizes AI in multiple ways. It features an AI chat that enables users to ask virtual questions and uncover deeper customer insights. It also uses AI to generate user story insights, research reports, and presentations, create generative data visualizations from research data, and precisely transcribe audio and video content. The AI chat feature on User Evaluation lets users ask questions and uncover deeper insights from their customer interactions. It offers a contextual chat experience that can provide new ideas for improvement, understand user queries and data, and deliver helpful responses.

User Evaluation Pricing

  • There are no upfront costs to get started with User Evaluation. Users can begin using it for free, and further pricing information is available on the platform. Depending on your subscription plan, you will be billed monthly or annually. 
  • Best for individuals: $39 / month billed annually. 

👍 Pros

  • Self-serve product
  • Research reports and presentations
  • Generative data visualizations
  • Accurate transcriptions
  • Secure data storage
  • Offers tutorials
  • Simple to use
  • Free to start
  • Data-driven decisions aid
  • UI, UX, Design, CX focus
  • Automated presentations
  • Powerful customer understanding
  • Spark new ideas
  • Understand audio and videos
  • Advanced transcription service
  • Efficient workflow
  • Extensive developer tools
  • Build an intelligent research repository

👎 Cons

  • No API mentioned
  • Lack of offline functionality
  • Limited transcription accuracy detail
  • No multi-lingual support
  • No data export options
  • No explicit data security measures
  • No mobile application
  • No customization options
  • Limited integrations detail

Why look for an alternative to User Evaluation

Cost: The current User Evaluation platform might be expensive, and seeking a more cost-effective alternative could be a priority.

Features: The existing platform may lack certain features or functionalities that meet the user's needs. They might be looking for an alternative that offers a more comprehensive set of features.

Ease of Use: Users might find the User Evaluation platform challenging to use or navigate. They may seek an alternative that is more user-friendly and intuitive.

Integration: The current platform may need to better integrate with other tools or systems the user uses. They might be looking for an alternative that offers better integration capabilities.

Customer Support: If the user is experiencing issues with customer support or responsiveness from the current platform provider, they might consider switching to an alternative with better support services.

Scalability: As users' needs grow, they may find that the current platform needs to scale more effectively to accommodate larger volumes of data or users. They might seek a more scalable alternative.

Security: Data security and privacy concerns might prompt a search for an alternative platform that offers more robust security measures.

TOP 6 Alternatives to User Evaluation

There’s a lot to consider when looking at User Evaluation alternatives. To make the decision easier, we've broken each tool into bite-size, comparable sections to help you make the right decision for your business. Here’s the shortlist: 

  1. Kimola Cognitive (sign up free, no credit cards required!)
  2. Dovetail
  3. Kraftful
  4. Maze
  5. Monterey
  6. Productboard


1. User Evaluation vs. Kimola Cognitive

Kimola Cognitive is a customer feedback analysis platform designed for research professionals. The platform automatically analyzes customer feedback with a simple drag and drop to provide insights such as Net Promoter Score (NPS), sentiment analysis, content classifications, and summaries. Trusted by businesses of all sizes, from small and medium enterprises to large organizations in over 80 countries, this product offers instant data analysis without requiring training. With its scraper extension, it can analyze data in more than 25 languages and collect feedback from over 30 sources. Additionally, it allows for classifying customer feedback with multiple tags, accurate sentiment analysis, and using pre-trained or custom machine-learning models. Moreover, users can integrate tools such as Intercom and Zendesk used by customer support teams to analyze conversational data with Kimola Cognitive. Kimola's contributions don't stop there! With its OPEN AI integration, Kimola Cognitive allows the generalization of executive summaries, SWOT analysis, and FAQs based on customer reviews.

A List of What You Can Do with Kimola Cognitive

  • Analyze customer feedback without any training, instantly
  • Analyze customer feedback with multi-label classification
  • Conduct sentiment analysis
  • Calculate NPS
  • Extract popular terms and topics
  • Get PDF reports
  • Search in customer reviews
  • Create executive summary, SWOT analysis, FAQs and other marketing materials with GPT. 

kimola cognitive home

Kimola Cognitive Pricing

  • 7-day free trial (no credit card required) 
  • Basic Plan: $199 / month
  • Standard Plan: $399 / month
  • Professional Plan: $999 / month
  • Custom plans available for Larger Companies

See all plans & features here.

Why did I pick Kimola Cognitive

Kimola offers the GPT Add-On, providing seamless integration with OpenAI's technology. This feature enhances analytical capabilities by harnessing natural language processing, allowing users to generate summaries, SWOT analysis and even a list of the most favoured product features based on customer reviews. Also, in Kimola Cognitive, you can find pre-built ML models ready for the most common business scenarios such as banking, telco, or news classification. This allows you to track KPIs with predefined labels. You can upload your training set and build a custom machine-learning model based on your business needs, requiring less time than other text analysis companies. However, user evaluation cannot currently host fully integrated moderated ML models. User Evaluation solely utilizes fine-tuned models. It uses a mixed models architecture and has used multiple different ones, including GPT-4; on the other hand, Kimola Cognitive sets itself apart with its ability to perform instant data analysis without any training. This feature is particularly beneficial for businesses and research teams looking for quick insights from their data. If you're interested in a genuine customer data analysis platform, Kimola Cognitive is a much better alternative to User Evaluation.

2. User Evaluation vs Dovetail

Benjamin Humphrey founded Dovetail. The company is headquartered in Sydney, Australia. Dovetail aims to provide a user-centric approach to improve the workflows of professionals in research and design. It is a customer insights platform designed to help businesses gather and analyze user research data. It enables teams to collect data from various sources, like customer interviews and support tickets, and analyze data to uncover trends and insights. Dovetail's features include a collaborative workspace, intuitive interface, integration capabilities, and rich data visualization. Product teams mostly use it.

dovetail dashboard

Dovetail Pricing

  • Free trial.
  • Professional- 29$ / 7-day free trial.
  • Enterprise: Dovetail offers custom pricing for organizations looking to scale product research with full support and security.

Why I picked Dovetail

Dovetail offers features for collecting, organizing, analyzing, and sharing user feedback and research data. It includes tools for conducting user research, managing qualitative data, creating insights, and collaborating with team members. On the contrary, User Evaluation focuses on analyzing customer feedback using artificial intelligence and providing insights such as Net Promoter Score (NPS), sentiment analysis, content classifications, and summaries. Dovetail offers a comprehensive platform for qualitative research professionals. It has features to organize and analyze data, such as conducting interviews, surveys, usability tests, coding, tagging, and generating insights. However, User Evaluation focuses only on the automatic analysis of customer feedback. Also, User Evaluation may have limited customization options compared to Dovetail, as it primarily focuses on automated customer feedback analysis. It may offer integrations with CRM systems or other business tools for data input.

👍 Pros 

Comprehensive Research Tools: Dovetail provides an extensive set of tools for conducting qualitative research, including features for organizing data, conducting interviews, creating surveys, and facilitating usability testing. This allows researchers to gather rich insights from various sources and methodologies.

Ease of Use: Despite its comprehensive features, Dovetail is designed with user-friendly interfaces and intuitive workflows, making it accessible to researchers with varying experience levels. The platform's ease of use allows users to focus on their research objectives rather than struggling with complex software.

Collaboration and Teamwork: Dovetail facilitates collaboration among team members by providing features for sharing and collaborating on research projects. Multiple team members can work together on coding, analyzing data, and creating insights, fostering teamwork and alignment within research teams.

Powerful Analysis Capabilities: Dovetail offers robust tools for analyzing qualitative data, including coding, tagging, and creating insights. Researchers can identify patterns, themes, and trends in their data, enabling them to derive meaningful insights and make data-driven decisions.

Customization Options: Dovetail allows users to customize their research projects and workflows to suit their needs and preferences. Users can create custom fields, tags, and views, tailoring the platform to accommodate their unique research methodologies and objectives.

Integration with Other Tools: Dovetail offers integrations with various other tools and platforms commonly used in research and design, including survey tools, collaboration tools, and productivity software. This allows users to streamline their workflows and integrate Dovetail seamlessly into their existing toolsets. With these powerful integrations, you can give your findings the attention they deserve by putting them where your stakeholders are.

Data Security and Compliance: Dovetail prioritizes data security and compliance, providing features such as role-based access controls, data encryption, and compliance with privacy regulations such as GDPR. This ensures that researchers can trust Dovetail to handle their sensitive research data securely and responsibly.

👎 Cons

Privacy and Security Concerns: Error messages are encrypted and useless. 

Language Support: Transcription accuracy isn't always perfect. Transcripts in other languages (Spanish, Portuguese) lack calibration.

Successful Customization: You can't customize images and formatting formatting more easily. 

3. User Evaluation vs Kraftful

Kraftful gives organizations deep AI analysis of user feedback to learn what users need and how to make a product delightful. Save time and make data-driven decisions with Kraftful's AI-powered analysis tool. Discover user needs, track sentiment, and learn from competitors, which is ideal for product builders, managers, and businesses seeking product-market fit quickly. Chat with your user data and export insights to your product roadmap. Trusted by innovative product builders, Kraftful offers a valuable solution for enhancing products based on user feedback.

kraftful dashboard

Kraftful Pricing

  • Kraftful is suitable for large-scale content analysis with limited resources. It offers two different pricing plans. The basic Plan, called pro, costs only $15 monthly for 500 submissions. The pro pricing plan of Kraftfull allows access for a maximum of 20 team members. Along with another plan called unlimited, Kraftful creates a custom pricing list for product teams with special requirements. Kraftful also offers a free plan but only supports a few features.

Why I picked Kraftful

Being in beta, Kraftful provides the opportunity to directly contribute to the platform's development and influence its adaptation to your needs. You can be among the first users to explore new features and integrations. Users can influence how Kraftful evolves to better serve their needs by actively participating in the beta testing process. Also, Kraftful aims to analyze customer feedback using GPT-4 automatically.

👍 Pros

Auto-analyze: Kraftful creates custom feedback surveys using past data.

AI-Powered Analysis: Kraftful utilizes advanced artificial intelligence algorithms to analyze user feedback effectively. This includes natural language processing (NLP) techniques to understand the sentiment, themes, and underlying insights within the feedback users provide.

Product Improvement Insights: The platform provides actionable insights derived from user feedback. These insights help product developers understand their products' strengths and weaknesses, identify areas for improvement, and prioritize features or changes based on user needs and preferences.

User-Centric Approach: Kraftful is designed with a user-centric focus, aiming to empower product developers to make informed decisions that align with the needs and desires of their user base. By prioritizing user feedback and insights, developers can enhance their products to meet user expectations better and drive greater satisfaction and success.

ChatGPT for Feedback Analysis: Utilizing GPT-4, it automates the analysis of user feedback from various sources, turning hours of manual work into seconds. This helps you understand user needs, pain points, and preferences efficiently. ChatGPT-powered deep dive to quickly answer questions, and write Jira tickets, PRDs, and more.

User Sentiment Tracking: Measures the real-time impact of your product on users over time. This feature is crucial for evaluating the effectiveness of product iterations and identifying improvement areas.

👎 Cons

Language support: Unfortunately, Kraftful's language support is limited to English. This limitation could lead to customer loss in the international arena.

Leaky-Bucket Pricing: Although the monthly pricing of the pro Plan offered by Kraftful may seem low, large businesses will benefit from the unlimited option due to its limited features. If you opt for Kraftful's unlimited pricing, you will pay more as you use it, following the leaky bucket logic. This may not be favourable for low-budget businesses.

4. User Evaluation vs Maze

Maze is a continuous discovery platform that empowers people who do research (PWDR) to connect with end users and make informed product decisions based on actual user data. Maze allows product teams to quickly test anything—from prototypes to copy—and collect actionable insights. So, you can get expert-level insights and continuously create better user experiences throughout the entire product lifecycle.

maze dashboard

Maze Pricing

  • For small teams that want to get started with product research: $99/ month.

Why did I pick Maze

If you’re comparing User Evaluation to Maze, there are some key differences to consider between the two tools:

Maze is a lot more affordable for the majority of businesses. Offering multiple price points tailored to individuals, small organizations, and enterprises, Maze allows for flexibility in project users. And so where User Evaluation is mainly focused on gathering insights from user videos, Maze gives you access to additional types of feedback—such as video recordings, survey responses, heatmaps, paths taken, click data, and more—and user interview analysis. Maze is also a user-friendly alternative that enables more team members to conduct continuous research during the development lifecycle.

👍 Pros 

Test multiple features: Maze is a versatile platform for running various types of unmoderated research, such as;

  • Prototype testing
  • Tree testing
  • Card sorting
  • Live website testing

Moderated interview studies: Quickly transform your moderated user interviews into actionable insights and shareable reports with AI-powered transcription, summaries, and sentiment analysis.

Keep track of your test participant pool: Use the Reach database to collect, store, and segment participant data.

Access Maze’s Panel: Access our pre-screened participant's Panel to get fast answers on your mazes and gather high-quality insights from your target demographic.

Get quantitative results fast: Most mazes are completed within three hours so that testing won't delay your product development process. Also, with Reports, your insights are automatically analyzed and assembled into a downloadable, customizable presentation.

Gather qualitative insights: Create and launch Surveys or invite participants to record their video and audio as they go through usability tests to catch your participants' sentiments and thought processes with Clips.

Easy to use: Maze's UX is simple and highly intuitive. It's built to be used by anyone who does research, from a one-off survey to an expert researcher, empowering and enabling everyone on your team to make decisions based on real user insights.

Use 50+ pre-built Templates: There's a free, ready-to-go maze for almost every research need. Your team can use the templates for inspiration or to start getting actionable user insights in minutes.

👎 Cons

Maze doesn't currently offer the ability to host fully integrated moderated tests. However, Interview Studies provides a comprehensive moderated analysis tool, and Clips lets you gain a deeper insight into your testers' pain points, feelings, and processes without needing the additional resources for a facilitator to be present. You can use Maze and video conferencing tools to moderate your sessions.

5. User Evaluation vs Monterey AI

Chun Jiang and Ben Kramer founded Monterey AI. It builds intelligent customer voice infrastructure for product operations teams in fast-growing companies. Monterey establishes user feedback channels and automatically collects and analyzes qualitative feedback and quantitative data from multiple sources to help companies understand what actions they need to take to increase engagement and reduce churn.

monterey dahboard

Monterey AI Pricing

Unfortunately, Wonderflow's pricing is not available on its website. However, you can benefit from consumer feedback regarding pricing by requesting a demo and receiving pricing information within 24 hours.

Why did I pick Monterey AI

Monterey AI User Evaluation stands out as a viable software platform for startups ranging from 10 to 10,000 people, addressing a common issue like slowing product velocity and inefficiencies as the company scales. Unlike other tools, Monterey  AI guides your team from detailed documentation to visually structured and shareable guided workflows. This capability proves invaluable as it streamlines the process of initiating result-oriented discussions through Slack integration. Moreover, Monterey AI offers a user-friendly experience compared to User Evaluation. To try it, sign up on their website or send an email - it's that easy.

👍 Pros

Extraction Powerful Insight: Using AI-powered analytics, discover the main origin of customer unrest (or satisfaction) across calls, emails, chat, and beyond, delivering essential real-time insights to the right team. 

Classify & Triage: Discover and group problems and subjects, identify emerging patterns, and route to the right stakeholder.

Collaborate: Firmly integrate the platform into your process. Engage with the platform wherever your group chooses: email, Slack, etc.

Indispensable Analysis: Monterey brings indispensable user feedback analytics to the forefront for product managers, improving product/market fit and allowing PMs to effectively groom their backlog to prioritize the most impactful feature improvement.

👎 Cons

Pricing: Not providing information about pricing plans can be seen as a negative aspect from the customer's perspective.

6. User Evaluation vs Productboard

Productboard was founded in 2014 by Hubert Palan and Daniel Hejl with a simple mission. It is a platform designed to streamline the product management process and enable product managers to make more informed decisions. The platform assists in gathering, prioritizing, planning, and tracking customer feedback.

productboard dashboard


Productboard Pricing

  • Essential Plan: $19 / month.
  • Standard Plan: $59 / month.

Why I picked Productboard

With Productboard, you can understand customers' needs, prioritize what to build next, and align everyone around the roadmap. Compared to User Evaluation, with Productboard, you can inform your stakeholders through collaborative, contextual roadmaps. Productboard has a more modular, microservices-based architecture. It has local integrations and open APIs. Additionally, e-books on how to create products that customers will love are available on the website. Productboard is recognized as one of the hottest tech startups, appearing on Forbes' Next Billion-Dollar Startups list and being named the most valuable startup in the Czech Republic by Forbes Magazine.

👍 Pros 

Customer Feedback Management: Productboard allows you to collect customer feedback from various sources (customer interviews, surveys, support tickets, analytics, etc.) and organize them effectively.

Prioritization and Planning: It enables you to prioritize and categorize collected feedback to build and update your product roadmap.

User Segmentation: Productboard allows you to filter and analyze feedback based on different user segments, allowing you to make more informed product development decisions.

Collaboration and Communication: It fosters collaboration among team members by providing a platform for them to discuss feedback and add comments and notes.

Analysis and Reporting: Productboard allows you to analyze user feedback and metrics to monitor product performance, helping you understand your product's strengths and weaknesses.

Integrations: Build better products faster with product and customer data together. Uncover critical customer needs and drive revenue by prioritizing with CRM data. Use segments defined in Amplitude and Mixpanel to see what matters most to your new users, power users, or at-risk customers. Also, it automatically consolidates product ideas, requests, and feedback from customers and colleagues. Import customer data from CRMs to see what each company and segment needs.

👎 Cons

Privacy and Security Concerns: The privacy and security of customer data collected on the platform could be a source of concern. Stringent security measures may be necessary, especially in cases where sensitive information is being handled.

Notification filter: Updates can be a bit overwhelming sometimes. Being able to control the updates you receive whould help a lot. If you also could filter notifications it would prevent information overload and help you focus on the most important tasks.



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