With so many different survey analysis software solutions available, figuring out which is right for your needs is tough. You know you want software to help you interpret your survey data and gain actionable insights, but you need to figure out which software is best. In this article, I'll help you make your choice easier by sharing my insights on the best survey analysis tools to extract meaningful insights from your survey responses and inform future decisions.
What is Survey Analysis Software?
Survey analysis software refers to a suite of tools that help researchers gather useful insights from questionnaire response data. You’ll find a mix of solutions in this space, from basic data-crunching tools to purpose-built analytics tools and visualization platforms powered by machine learning and artificial intelligence (AI). All of them will help you collect and analyze data with ease, depending on your needs.
Using survey analysis software offers numerous benefits, including the ability to handle large volumes of data, the ability to identify trends and patterns within your data, and time-saving through automation and AI integration. Once you've analyzed your data, you'll be able to use the results to tweak your customer service strategies or processes to create better customer experiences.
SurveySparrow is an online platform that can be used to create and distribute surveys, collect responses, and analyze the data.
Why I picked SurveySparrow: This software allows you to distribute your surveys across various channels like weblinks, in-app embedding, email, SMS, and QR codes. And when your respondents receive the survey, it's presented like a chat to keep it engaging and quick to fill out. This can help improve response rates and get you more data on your audience.
You can also pose open-ended questions, providing more qualitative data in addition to quantitative insights. You can dig deeper into your audience's perspective and give them a voice. Data can be segmented based on lots of different factors for more detailed analysis.
SurveySparrow Standout Features and Integrations:
Standout features include recurring surveys, which allow you to measure the same metrics over time. Other helpful features are the chat-like interface, a variety of question types, and plenty of reporting capabilities.
Integrations include MailChimp, HubSpot, Intercom, Salesforce, Zapier, Google Sheets, Google Analytics, Facebook Pixel, and many other systems.
- Supports multiple languages
- Helpful automations available
- Mobile-first, friendly end user experience
- Comes with a learning curve
- Limited customization on templates
Jotform is an online form builder that allows users to create professional forms quickly and easily to collect feedback, e-signatures, and other data from employees, customers, prospects, or other audiences.
Why I picked Jotform: This platform has a robust form builder with conditional logic and other key tools. But what sets it apart in terms of data analytics is its simple, straightforward report builder. You can easily create meaningful visualizations of the data you collect through your forms, presenting important insights in an easily digestible way.
Reports can be branded with your company's logo, and shared via a link, embed code, or exported as a PDF. The report builder has various graph types, shapes, tables, and images to help you create an engaging visual representation of your form results. It's super handy for creating presentations for stakeholders, clients, and other key audiences.
Jotform Standout Features and Integrations:
Features include a simple form builder, templates, e-signature, custom fields, custom branding, local data management, various reporting formats, exporting options, and more.
Integrations include Box, OneDrive, Airtable, Google Drive, PayPal Business, Google Sheets, Google Calendar, Slack, HubSpot, monday.com, and other apps.
- A robust solution suitable for enterprise needs
- High level of security
- Custom branding options
- Limited forms and submissions per month
- Inflexible subscription plans
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.
- Free survey templates are available
- Includes skip logic, branching and advanced data filters
- Customizable design themes
- Lack of data validation tools
- Data capacity limits on lower tiers
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.
- Top-notch collaborative analytics
- Simple no-code interface
- Powerful NLP for text analysis
- Complex analysis may require custom builds
- High prices for advanced capabilities
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.
- Perfect for mixed methods research
- Excellent analysis and visualization capabilities
- High degree of flexibility and customization
- High costs for advanced features
- Not suited to basic research needs
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.
- Custom machine learning (ML) model building
- Intuitive workflow and UX
- Unsurpassed text analysis capabilities
- Steep learning curve for non-technical users
- More limited visualization options
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.
- Automated reporting and exports
- Intuitive interactive dashboards
- Powerful analytics for survey data
- Limited team collaboration features
- Steep learning curve
Dovetail is designed to help you collect and analyze survey data. Built for scale, this platform optimizes research workflows from end to end. Dovetail is a good choice if you’re looking to improve collaboration, tap into detailed insights, embed data, or create user stories.
Why I picked Dovetail: This tool combines collaboration capabilities with integrated analysis tools to simplify the whole research process. It uncovers insights across all kinds of customer touch-points.
Research teams can collect key data through engaging templates. Then, they can analyze responses, identify themes, and share insights. All of this can be done through one platform, while connecting with other software as needed (to gain greater data analysis power).
Dovetail Standout Features and Integrations:
Standout features include customizable coding, auto-transcription, and advanced reporting. Real-time collaboration allows researchers to work together to share expertise and data insights.
Integrations are available with a broad range of data sources. The software also connects with tools like SurveyMonkey and Google Sheets. Dovetail also integrates with platforms like Tableau, so data can be imported from anywhere for detailed analysis.
- Logical analysis workflow
- Excellent collaboration capabilities
- Complete qualitative research platform
- Expensive for smaller research teams
- No integrated quantitative analysis
Cauliflower reduces the pain of coding qualitative data, thanks to its super smart automation. The advanced artificial intelligence features make analyzing textual data efficient and effective.
Why I picked Cauliflower: This popular tool combines customizable machine learning with an intuitive web interface, delivering fast text coding and analysis. For researchers seeking to increase productivity and tap into rich insights, Cauliflower removes the gruntwork. It offers real analytical power combined with simplicity.
The auto-coding algorithms quickly identify themes and topics within qualitative data, while the comparison tools help you uncover more subtle insights. Plus, the collaborative workspace facilitates the sharing of findings with others.
Cauliflower Standout Features and Integrations:
Standout features include auto-insights, predictive coding, sentiment analysis, and statistic-powered analysis. These advanced tools provide research teams with a great deal of analytics depth.
Integrations are currently available with software such as Dovetail and analytics platforms like Dedoose, simplifying the import of qualitative data. The multiple export options make it easy to share data with other parties as needed.
- Customizable machine learning
- Truly collaborative interface
- Automated text analysis
- No offline desktop app option
- Steep learning curve
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.
- Secure and scalable
- Customizable dashboards and apps
- Powerful analytics and modeling for surveys
- Expensive for smaller teams
- More limited use cases beyond surveys
Best for identifying patterns and trends beyond survey responses
Q Research Software
Best for quick and easy survey reporting
Best for all-in-one analysis, purpose-built for survey data
Best for blending, analyzing, and tracking all your customer feedback in one platform
Best for customer journey feedback analysis
Best for quickly capturing comprehensive, actionable data
Best for analyzing data from qualitative, quantitative, and mixed method research
Qualtrics XM Frontline Digital
Best for understanding customer behavior in real-time
Best for leveraging automated statistical testing
Best for a rich NLP feature stack
Selection Criteria for Survey Analysis Software
So how did I arrive at my conclusions? Here’s a quick summary of the selection and evaluation criteria I used to compile my list of the best survey analysis software:
There are some basics that I considered to be of fundamental importance in evaluating any type of survey analysis software. These include the ability to:
- Import and organize survey response data (from any source)
- Filter, clean, and process all survey data
- Run statistical tests on survey data (means, regression, ANOVA)
- Generate various charts, graphs, and visualizations
I also looked for key features that most users will find helpful, such as:
- Data management: The ability to import survey data from any source (including web, email, SMS, mobile, etc.), then combine this feedback into unified profiles.
- Data processing: Filtering out bad data, deduplicating responses, and preparing each dataset for analysis.
- Segmentation and crosstabulation: Slicing and dicing survey data by attributes such as behaviors and demographics to uncover differences.
- Text and sentiment analysis: Algorithms that extract insights from open-ended text responses.
- Customizable dashboards and reporting: Track the metrics that are important to you and view them in the way that makes the most sense.
- Visualization capabilities: Visualizing survey data through graphs, charts, heat maps, word clouds, and other formats.
- Collaboration features: Capabilities to annotate reports, discuss insights with colleagues, and share findings.
- Scalability: Handling high volumes of survey respondents, large datasets, and complex analyses without fail.
- Data exports: Tools to export clean, analyzed datasets to external systems, such as business intelligence (BI) tools.
Of course, you shouldn't need a Ph.D. to analyze surveys. So the solutions I recommend combine power with simplicity to deliver efficient, helpful insights.
I looked closely at solutions with intuitive interfaces, making it easy to go from survey data to insights without training. The best options provide clean dashboards with access to analysis, reporting, and visualization capabilities. In addition, all key functions should be conveniently organized.
I sought out solutions that use natural language processing and machine learning. This allows them to conduct detailed sentiment analysis, even on open-ended survey responses. Advanced tools can identify key topics, detect sentiments, highlight themes, and uncover contextual insights.
The best survey analysis software goes beyond generating reports. The top tools provide actionable insights that managers can base strategic decisions on. So I focused on solutions that use techniques like statistical modeling, predictive analytics, and data benchmarks. These help you turn survey data into measurable objectives and concrete recommendations.
The top survey analysis tools integrate natively with a wide range of data collection platforms like Qualtrics, SurveyMonkey, Typeform, and Google Forms. This allows response data to be imported easily.
My preferred solutions also offer integration with business intelligence tools like Microsoft Power BI, Tableau, and Sisense. This makes it simple to share analyzed survey insights company-wide.
I prioritized survey analysis software that offers value for money, as not every company has a large budget. Pricing for this type of software is typically based on the number of responses analyzed per month. There are usually tiered packages supporting various survey volumes.
Plans typically start around $100/month for entry-level analysis. At the other end of the scale, enterprise-level solutions can cost thousands per month. In return for this investment, they support complex functionality and large survey loads.
What does survey analysis software do?
The core strength they share is the ability to take raw survey data and turn it into tangible insights. You can then identify patterns, trends, correlations, and conclusions that can improve business decisions. But each tool takes its own approach based on features, ease of use, and ideal use cases.
What is sentiment analysis and how does it work?
Sentiment analysis is the process of analyzing text to identify the prevailing opinion. It involves extracting data and quantifying this in a useful way. This is done using natural language processing and text analysis. In general, the goal is to determine whether the opinion expressed is positive, negative, or neutral towards the chosen topic.
What’s the connection between sentiment analysis and natural language processing?
Sentiment analysis describes the process of identifying and categorizing opinions expressed in text form. It determines whether they are positive, negative, or neutral in tone.
Natural language processing (NLP) is a branch of artificial intelligence. This technology is often used to help computers interpret, understand, and obtain meaning from human language.
Sentiment analysis relies heavily on natural language processing techniques like speech tagging and semantic parsing. These are used to understand the sentiment of unstructured text.
What is a net promoter score and how can you improve it?
The Net Promoter Score (NPS) is used to measure customer loyalty and employee satisfaction. It is usually assessed by asking customers how likely they are (on a 0-10 scale) to recommend a company, product, or service to others.
People who show scores of 9-10 are considered promoters, while those in the 7-8 range are passives. People scoring in the 0-6 range are detractors. NPS is calculated simply by subtracting the detractors from the promoters. So improving your customer service should lead to a higher score.
NPS provides a handy metric of overall customer satisfaction. Companies can track and benchmark over time, to assess how sentiment is changing. Businesses can measure customer satisfaction through metrics like Net Promoter Score. To track ease of service delivery, they may use Customer Effort Score (CES). Together, tracking these metrics can help youimprove your retention and customer experience management.
What are voice of customer analytics?
Successful companies are focused on understanding their customer needs and preferences. This can be achieved by actively listening to the voice of the customer. Businesses may use regular feedback channels such as surveys, reviews, and direct outreach. Both qualitative and quantitative methods can help build a complete picture of your current customer sentiment.
Other Survey & Data Analysis Software Reviews
To get more information on topics relating to survey management and data analysis, be sure to check out the wealth of information available in our other reviews and guides:
- Free Survey Tools for Collecting Feedback
- Online Survey Software
- Survey Maker Tools for Customer Feedback
- Qualitative Data Analysis Software
- Net Promoter Score Software & NPS Survey Tools
- Sentiment Analysis Tools
- VOC Software for Customer Analytics
Turn Feedback into Action
With the help of today’s survey analysis software, you’ll be able to understand your customers in great depth. They say that ‘data is the new oil,’ and understanding customer feedback can certainly be the path to business success.
The global online survey software market is a $3.2 billion industry with a compound annual growth rate of 14.6%. To ensure you don’t miss the next big strike, sign up for our newsletter. That way, we can keep you up to date with the latest news in this fast-moving sector.