10 Best Survey Analysis Software of 2023: Reviewed & Compared

SurveyMonkey is an online survey platform that makes it easy for anyone to create and distribute surveys. You can then analyze the results through an intuitive drag-and-drop builder with pre-made expert templates. 

With its simple interface and flexible pricing plans, SurveyMonkey is suitable for solopreneurs, smaller businesses, and large enterprises. This is why I think it's one of the best survey tools available today. This tool excels at deep dives into data, which allow you to identify, analyze, and address growth gaps

Why I picked SurveyMonkey: SurveyMonkey offers skip logic, pre-made question types, and branching. You can create customized surveys easily, with no technical skills required. 

SurveyMonkey includes collection methods like email, web link, social media, and QR code, and includes partial response tracking. You can generate standard reports on response data as well as export results to Excel for further analysis. 

An advantage of SurveyMonkey is that it has a large global reach, with the platform available in over 20 languages. This makes it easy to reach your target audience. There is also 24/7 customer support and tons of help resources like guides, videos, and webinars for onboarding users smoothly. SurveyMonkey is an estabished company trusted by over 345,000 businesses worldwide.

SurveyMonkey Standout Features and Integrations:

Standout features that make SurveyMonkey a leading online survey tool include its customizable design themes, user-friendly drag-and-drop builder, skip logic, and branching. You also get logic and data filters, standard crosstab, text analysis, and benchmark reports. SurveyMonkey provides team collaboration features and CX tools like CSAT and NPS surveys.

Integrations are offered with CRM, marketing, and business intelligence platforms like HubSpot, Marketo, Microsoft Power BI, and Salesforce, connecting survey data insights across programs. SurveyMonkey also integrates with apps like Eventbrite, Mailchimp, Slack, and Zapier for extended workflows.

Thanks to its powerful analysis features, SentiSum makes understanding unstructured text data easy. The software automates the analysis of CSAT survey results, surfacing actionable insights quickly with just a few clicks.

Why I picked SentiSum: This tool has an easy-to-use interface. It also offers customizable machine learning algorithms which allow for faster text analysis.

SentiSum helps you detect sentiment, explore trends, identify topics, and extract key phrases from data. Better still, the helpful visualizations and collaborative analytics encourage stakeholders to buy into suggested improvements. 

If you want to tap into the riches hidden within your text data, Sentisum offers a good balance of raw power, organized simplicity, and the ability to scale.

SentiSum Standout Features and Integrations:

Standout features include important elements such as predictive coding, detailed statistical analysis, and auto-category suggestions. You also get sentiment tracking, with unmatched text analysis depth. No coding experience is required to take advantage of the software’s capabilities. 

Integrations include connections to data collection tools (SurveyMonkey) and CRM software (Salesforce). This allows for frictionless analysis of data from any source. API access is also offered, optimizing sharing with many other tech platforms.   

Thematic handles much of the hard work of survey analysis on autopilot. Using smart automation, this analysis tool delivers actionable insights, making it easy to track, blend, and analyze customer feedback in one platform.

Why I picked Thematic: Thematic combines a range of technologies to surface insights from all kinds of open-ended data. Researchers can analyze responses, then draw insightful conclusions, all thanks to Thematic's unique approach. The system delivers unprecedented depth, drawing on features like auto-coding, statistical insights, and sentiment analysis.

Thematic Standout Features and Integrations:

Standout features included with this software include predictive coding and contextual analysis. You also get comparison tagging to faciliate granular text analysis and theme identification. Extensive language support opens up a range of new opportunities.

Integrations include survey tools like Qualtrics, facilitating direct data imports for immediate analysis. You also get dashboards to optimize visibility, collaboration features, and API access to improve sharing across your organization.

Thematic also connects easily with visualization tools like Looker and Tableau. This allows you to produce complex data visualizations, leveraging Thematic's text analysis capabilities.

KnowledgeHound takes the hassle out of analyzing open-ended survey responses at scale. Its AI uncovers insights other tools miss.

Why I picked KnowledgeHound: This platform combines customizable machine learning with a natural workflow. So it allows researchers to derive nuanced insights from massive volumes of unstructured data. The software is designed to derive valuable answers from customer data in almost real-time.

The topic modeling and theme analysis tools provide deep views into the key themes and contextual relationships within feedback. The interface makes complex analysis manageable. KnowledgeHound also offers embedded report widgets and clickable dashboards, too. Users can subscribe to receive alerts when relevant new survey data is analyzed. 

KnowledgeHound Standout Features and Integrations:

Standout features include semantic research, multilingual sentiment analysis, auto-categorization, and predictive modeling. These enable analysts to extract needle-moving insights and build custom machine learning models.

For brands seeking to tap into the richest insights from open-ended survey data, KnowledgeHound may be a great choice. The actionability it provides empowers CX and insights teams to get better results. 

Integrations with survey platforms like Dynata, Lucid, Qualtrics, SurveyMonkey facilitate easy data imports. There are also collaboration features and API access to help you share insights as needed.

There is also a connector integration with Tableau for better visualization capabilities, leveraging KnowledgeHound's proprietary text analytics.

Snap XMP makes deriving helpful insights from survey data quick and frustration-free. Its advanced analytics and appealing visualizations uncover hidden insights in colorful ways. For survey pros seeking self-service analytics, Snap XMP is an option to check out.

Why I picked Snap XMP: This software combines proven statistical testing and segmentation tools into one powerful platform. It also offers easy-to-use dashboards and predictive analytics, allowing users to discover rich insights within survey data. These can be presented in formats such as word clouds to make the data easier to understand. 

The interactive web-based reports allow you to dig deeper into response trends to see what is causing change. Meanwhile, the advanced text analysis provides granular insights into all your open-ended feedback. The self-serve model means even non-technical users can get real value quickly.

Snap XMP Standout Features and Integrations:

Standout features include max diff, heat mapping, and conjoint analysis. Geomapping and multilingual text analysis are also available, helping you extract further insights to inspire improvement.  

Integrations are available with data collection tools such as Deskero, Qualtrics, and SurveyMonkey. These simplify the process of importing survey data into Snap XMP for instant analysis. Export options make it easy to share data as needed. 

If you need to extract insights from mountains of open-ended survey feedback, MonkeyLearn is a top contender. This AI-powered platform can automate text analysis to uncover granular insights fast.

Why I picked MonkeyLearn: MonkeyLearn helps you identify key patterns and trends beyond individual survey responses. This is achieved by combining machine learning with an intuitive interface. MonkeyLearn makes light work of tasks like classifying, extracting keywords, or detecting sentiment. It has the power to work on massive volumes of unstructured survey data.

The built-in sentiment analysis and topic modeling tools deliver nuanced insight into themes and opinions across open-ended or multiple choice survey questions. MonkeyLearn readily handles multilingual data too.

An advantage of this type of survey solution is the sheer analytical power. It enables non-techie users to process millions of text responses on an intuitive, no-code platform. If you need to uncover every last insight from open-ended survey feedback, MonkeyLearn should be on your shortlist. The depth of analyses help power users and market researchers alike.

MonkeyLearn Standout Features and Integrations:

Cutting-edge features that make MonkeyLearn a top choice for survey analytics include its sophisticated machine-learning, sentiment analysis, built-in language detection, and topic modeling. The software also offers abilities such as keyword extraction, custom taxonomy creation, and even model training.

Integrations are offered with major survey platforms such as SurveyMonkey, Qualtrics, Typeform, and Google Forms for easy data import. MonkeyLearn also connects to visualization tools like Tableau and BI software to share insights across teams.

With robust AI text analytics functionality, plus extensive integration options, MonkeyLearn offers market researchers powerful capabilities to maximize the value derived from survey responses.

Displayr is an all-in-one intuitive survey analytics platform that helps researchers gain actionable insights. Purpose-built for survey data, it offers excellent statistical analysis tools and easy-to-understand data visualizations. 

Thanks to its user-friendly interface and robust feature set, Displayr makes it simple for anyone to analyze survey results and share insightful reports. No previous experience is required.

Why I picked Displayr: Displayr offers a huge library of graph and chart types, perfect for creating visualizations that clearly communicate findings. Users can test multiple survey designs through simulated data before gathering responses.

A major advantage of Displayr is that it’s flexible and scalable. It can handle surveys of all types and sizes comfortably. Plus, the software is backed by an experienced support team, online training resources, and statistical expertise, so you’ll get answers when you need them.

Displayr Standout Features and Integrations: 

Standout features that make Displayr a top choice for survey analysis include its advanced statistical engine. This can handle complex techniques like driver analysis, MaxDiff, and regression. 

You also get flexible reporting options, plus exports, dashboards, and automated reporting workflows. The software offers a simulation module to test questionnaires and sample sizes, and machine learning-driven insights that detect patterns and provide recommendations. 

Integrations are offered with an array of survey platforms like SurveyMonkey, Qualtrics, and Alchemer. This makes it easy to import response data. Displayr also integrates with business intelligence tools like Tableau and Power BI, enabling you to share insights across your organization. For collaboration, this tool integrates with apps like HubSpot, Microsoft Teams, and Slack.

Q Research Software aims to take the complexity out of qualitative data analysis. Its smart tools make it easy to gain insights from unstructured data, so you can get the results you need promptly and easily.

Why I picked Q Research Software: This software has been proven over many years, offering time-tested, robust tools tailored for annotating, analyzing, and coding qualitative data. Q Research Software removes tech hurdles, cutting the time needed to find actionable information.

This application guides users through each analysis process step-by-step. You get access to powerful tagging, search, and visualization tools to generate rich insights. Extensive collaborative capabilities and templates further accelerate its survey analysis capabilities.

Q Research Software Standout Features and Integrations:

Standout features include comparison views, auto-coding, and customized tagging. You also get import/export options to facilitate efficient analysis. The software features optical character recognition and translation capabilities. This further simplifies the task of analyzing complex qualitative data like PDFs, images, and multilingual responses.

Q Research Software is a good choice if you need robust analysis tools without a steep learning curve. Its simplicity, guidance, and customization make it perfect for non-specialist users.

Integrations are available with data collection tools (Qualtrics), observation platforms (Discover.ly), and analytics software (NVivo) for enhanced end-to-end research. API access enhances flexibility, opening up the opportunity to connect to many other tools. 

MAXQDA deploys professional-grade analysis tools to transform your data into tangible findings, bringing research to life. As a result, MAXQDA is a great application for analyzing both open-ended and standardized questions.

Why I picked MAXQDA: This tool has the advantage of combining raw power with granular flexibility. It supports comprehensive mixed methods research but is also able to handle multi-dimensional investigations.  

The huge feature set and customization options allow you to explore data any way you wish. MAXQDA is ideal for mixed methods studies, helping you develop multi-dimensional understanding. Its analytical engine and customization flexibility are best-of-breed. 

MAXQDA Standout Features and Integrations:

Standout features include focus group controls, statistical analysis, geo-mapping, and advanced coding that drives insight extraction. You can tailor everything to uncover any insights needed to inform decisions. 

Integrations are available with tools for surveys, interviews, audio, video, and images. These provide unlimited flexibility, while collaboration features promote better teamwork. The analysis, visualization, and reporting tools integrate readily with various applications. These include statistical tools like SPSS Statistics, data visualization tools like Tableau, and transcription services like Trint.

Crunch.io is an insights platform optimized for market research and survey analytics. It turns data into decisions.

Why I picked Crunch.io:  This tool combines a proven analysis engine with flexible dashboards and visualizations designed for survey data. It excels at analyzing current and historical data, gathered from multiple survey sources over various periods of time. This makes it a powerful tool for uncovering hidden insights.

Research ops and data teams can collaborate effectively, using tools to manipulate data and rapidly iterate analysis. In addition, integrated statistical testing and predictive modeling enable accurate forecasting.

Crunch.io Standout Features and Integrations: 

Standout features include integrated GIS, Bayesian modeling, what-if scenario analysis, labeling, and text analytics to extract deep insights fast. Custom apps and APIs further extend its capabilities.

Integrations are available with data collection tools like Qualtrics and survey panels. It also plugs into BI tools like Tableau to share findings organization-wide. 

For survey-savvy teams aiming to make research truly actionable, Crunch.io offers robust analytics and secure collaboration capabilities.