The 11 best qualitative data analysis tools (and how to choose which one is right for you)

What do your customers actually think? Qualitative data analysis tools help you find out—and more importantly, act on it.

This guide covers 11 of the best qualitative data analysis tools for interpreting customer insights, understanding user behavior, and building experiences that keep people coming back.

Key takeaways

• Qualitative data analysis tools automate coding, theme identification, and sentiment analysis to help teams interpret customer feedback faster

• The best qualitative data analysis (QDA) or CAQDAS software for your team depends on your use case—academic research, user experience (UX) research, or customer experience analysis each have different requirements

• AI-powered tools like Contentsquare and Thematic offer automated insights, while traditional tools like NVivo and ATLAS.ti provide rigorous manual coding capabilities

A comparison table of qualitative data analysis tools

11 tools for qualitative data analysis

Qualitative data analysis involves gathering, structuring, and interpreting contextual data to identify key patterns and themes in text, audio, and video. Qualitative data analysis software packages automate this process, allowing you to focus on interpreting the results—and make informed decisions about how to improve your product—rather than wading through pages of often subjective, text-based data.

1. Contentsquare

Contentsquare is an AI-powered customer experience intelligence with user-friendly capabilities for analyzing qualitative data. Designed for both user researchers and marketers, Contentsquare's platform centralizes feedback, making it easy to turn user sentiment into actionable insights for businesses of any size.

Contentsquare's dashboad.

How Contentsquare analyzes qualitative data

Contentsquare tools gather and analyze customer feedback complete with AI-driven sentiment analysis, tagging feedback as positive, negative, or neutral.

Ready-made templates for surveys like Net Promoter Score® (NPS®) and customer satisfaction (CSAT) scores help teams collect the specific insights they need to track satisfaction or identify recurring pain points. You can also use Contentsquare to capture feedback about product features, updated designs, and user experience.

Contentsquare offers 40+ survey templates across a range of topics.

Additional capabilities include:

• Track sentiment trends over time by comparing survey scores, helping teams monitor improvement or address growing pain points

• Spot issues in the user journey with behavior analytics capabilities like Session Replay and Heatmaps, allowing quick fixes or optimizations for a smoother user experience

• Create and share comments, clips, and replays to make data accessible across teams and help stakeholders align on user-focused business goals

Heatmaps track how customers interact with your page.

As one ecommerce country manager says: "Contentsquare's real-time data capabilities have been a game-changer for us. I can see in real-time how changes to the website are affecting customer behavior and quickly make adjustments to improve the experience. This has helped us stay ahead of the curve and make data-driven decisions quickly and effectively."

Pro tip: with Contentsquare's Slack and Microsoft Teams integrations, sharing user insights is simple and immediate, letting everyone on your team stay aligned on customer experience. Whether it's catching the latest user pain point or celebrating a new engagement win, these integrations help teams stay aligned on customer experience updates.

Contentsquare's integration with Slack means teams get real-time alerts on site issues.

Best for: digital, UX, and product teams who want to combine qualitative feedback with behavioral data to understand not just what customers say, but what they actually do.

Pricing: free plan available; paid plans start at $49/month. Pro and Enterprise pricing available on request.

2. NVivo

NVivo is one of the most popular qualitative data analysis tools on the market, particularly within social science—and one of the most expensive. It's a more technical solution that requires more training and tutorials, but offers unmatched depth for systematic research.

How NVivo analyzes qualitative data

NVivo's Transcription tool transcribes and analyzes audio and video files from recorded calls—like sales calls, customer interviews, and product demos—and lets you automatically transfer text files into NVivo for further analysis.

The platform now includes AI-assisted coding suggestions, though it maintains the manual coding rigor that any complex research project requires.

Key capabilities include:

• Find recurring themes in customer feedback

• Analyze different types of qualitative data, like text, audio, and video multimedia

• Code and visualize customer input

• Identify market gaps based on qualitative and consumer-focused research

• Maintain detailed audit trails and a structured codebook for research transparency

Dylan Hazlett former CEO assistant at Adial Pharmaceuticals says, "We needed a reliable software to perform qualitative text analysis. The complexity and features of [NVivo] have created great value for our team."

Best for: tech-savvy CX and product teams at mid-sized companies and enterprises who need rigorous, reproducible qualitative analysis and don't mind a steeper learning curve.

Pricing: starts at approximately $1,400/year for individual licenses; enterprise pricing available.

3. ATLAS.ti

ATLAS.ti is a qualitative data analysis tool that brings together customer and product research data. It has a range of helpful features for marketers, product analysts, UX professionals, and product designers. The platform is known for its flexibility in handling diverse data types across Windows and Mac operating systems, and its robust export capabilities.

How ATLAS.ti analyzes qualitative data

ATLAS.ti helps product teams collect, structure, and evaluate user feedback before realizing new product ideas. To enhance your product design process with ATLAS.ti, you can:

• Generate qualitative insights from surveys

• Apply any method of qualitative research

• Analyze open-ended questions and standardized surveys

• Perform prototype testing

• Visualize research results with charts

• Collaborate with your team through a single platform

One ATLAS.ti customer shares, "ATLAS.ti is innovating in the handling of qualitative data. It gives the user total freedom and the possibility of connecting with other software, as it has many export options."

Best for: mixed-methods researchers and product teams who need flexible data import options.

Pricing: starts at approximately $99/year for students; professional licenses from $670/year.

4. MAXQDA

MAXQDA is a data analysis software that can analyze and organize a wide range of data, from spreadsheets and handwritten texts, to video recordings, to social media posts. It's particularly strong at combining qualitative and quantitative methods in a single workflow.

How MAXQDA analyzes qualitative data

MAXQDA organizes your customer interviews and turns that data into digestible statistics by enabling you to:

• Easily transcribe audio or video interviews

• Structure standardized and open-ended survey responses

• Categorize survey data

• Combine qualitative and quantitative methods to get deeper insights into customer data

• Share your work with team members

One enterprise-level customer says MAXQDA has "lots of useful features for analyzing and reporting interview and survey data. I really appreciated how easy it was to integrate SPSS data and conduct mixed-method research. The reporting features are high-quality and I loved using Word Clouds for quick and easy data representation."

Best for: teams conducting mixed-methods research who need strong quantitative integration.

Pricing: starts at approximately $100/year for students; standard licenses from $800/year.

5. Dovetail

Dovetail is a customer research platform designed for scaling teams. It offers three core tools: Playback, Markup, and Backstage. For qualitative data analysis, you'll need Markup.

Markup offers tools for transcription, annotating, and analysis of all kinds of qualitative data, and is a great way to consolidate insights.

How Dovetail analyzes qualitative data

Dovetail's charts help you easily quantify qualitative data. If you need to present your findings to the team, the platform makes it easy to loop in your teammates, manage access rights, and collaborate through the interface. You can:

• Transcribe recordings automatically

• Discover meaningful patterns in textual data

• Highlight and tag customer interviews

• Run sentiment analysis

• Collaborate on customer research through one interface

Kathryn Rounding, Senior Product Designer at You Need A Budget, says, "Dovetail is a fantastic tool for conducting and managing qualitative research. It helps bring all your research planning, source data, analysis, and reporting together, so you can not only share the final results but all the supporting work that helped you get there."

Best for: UX research teams at growing companies who need collaborative analysis.

Pricing: free plan available; paid plans start at $29/user/month.

6. Qualtrics

Qualtrics is a sophisticated experience management platform. The platform offers a range of tools, but we'll focus on Qualtrics CoreXM here.

Qualtrics CoreXM lets you collect and analyze insights to remove uncertainty from product development. It helps validate product ideas, spot gaps in the market, and identify broken product experiences, and the tool uses predictive intelligence and analytics to put your customer opinion at the heart of your decision-making.

How Qualtrics analyzes qualitative data

Qualtrics helps teams streamline multiple processes in one interface. You can gather and analyze qualitative data, then immediately share results and hypotheses with stakeholders.

The platform also allows you to:

• Collect customer feedback through various channels

• Understand emotions and sentiment behind customers' words

• Predict what your customers will do next

• Act immediately based on the results provided through various integrations

A user in project management shares, "The most useful part of Qualtrics is the depth of analytics you receive on your surveys, questionnaires, and other tools. In real-time, as you develop your surveys, you are given insights into how your data can be analyzed. It is designed to help you get the data you need without asking unnecessary questions."

Best for: enterprise teams needing end-to-end experience management with predictive analytics.

Pricing: custom enterprise pricing; typically $1,500+/year.

7. Delve

Delve is cloud-based qualitative data analysis software, similar to Dedoose, perfect for coding large volumes of textual data and creating memos, and is best for analyzing long-form customer interviews. It's widely considered one of the easiest QDA tools to learn through available webinars, making it ideal for beginners and teams without extensive research training.

How Delve analyzes qualitative data

Delve helps reveal the core themes and narratives behind interview transcripts from sales calls and customer interviews. It also helps to:

• Find, group, and refine themes in customer feedback

• Analyze long-form customer interviews

• Categorize your data by code, pattern, and demographic information

• Perform thematic analysis, narrative analysis, and grounded theory analysis

One Delve user says, "Using Delve, it is easier to focus just on coding to start, without getting sidetracked analyzing what I am reading. Once coding is finished, the selected excerpts are already organized based on my own custom outline and I can begin analyzing right away, rather than spending time organizing my notes before I can begin the analysis and writing process."

Best for: Researchers new to QDA who want an intuitive, easy-to-learn interface

Pricing: Free plan available; paid plans from $49/month

8. Thematic

Thematic's AI-driven text feedback analysis platform helps you understand what your customers are saying—and why they're saying it.

How Thematic analyzes qualitative data

Thematic helps you connect feedback from different channels, uncover themes in customer experience data, and run sentiment analysis—all to make better product decisions. Thematic is helpful when you need to:

• Analyze unstructured feedback data from across channels

• Discover relationships and patterns in feedback

• Reveal emerging trends in customer feedback

• Split insights by customer segment

• Use resulting data in predictive analytics

Emma Glazer, Manager, Strategy & Operations at DoorDash, says, "Thematic empowers us with information to help make the right decisions, and I love seeing themes as they emerge. We get real-time signals on issues our customers are experiencing and early feedback on new features they love. I love looking at the week-over-week breakdowns and comparing segments of our audience (market, tenure, etc.) Thematic helps me understand what’'s driving our metrics and what steps we need to take next."

Best for: CX teams who need automated theme detection across multiple feedback channels.

Pricing: custom pricing; typically starts around $500/month.

9. Quirkos

Quirkos is a simple and affordable qualitative data analysis tool, often compared to open-source options like Taguette. Its text analyzer identifies common keywords within text documents to help businesses quickly and easily interpret customer reviews and interviews.

How Quirkos analyzes qualitative data

Quirkos displays side-by-side comparison views to help you understand the difference between feedback shared by different audience groups (Ex: by age group, location, or gender). You can also use it to:

• Identify keywords and phrases in survey responses and customer interviews

• Visualize customer insights

• Collaborate on projects

• Color code texts effortlessly

One Quirkos user says, "The interface is intuitive, easy to use, and follows quite an intuitive method of assigning codes to documents."

Best for: budget-conscious teams and solo researchers who want visual, intuitive coding.

Pricing: one-time purchase from $99; no subscription required.

10. Cauliflower

Cauliflower is a no-code qualitative data analysis tool that gives researchers, product marketers, and developers access to AI-based analytics without dealing with complex interfaces.

How Cauliflower analyzes qualitative data

Cauliflower's AI-powered analytics help you understand the differences and similarities between different pieces of customer feedback. Ready-made visualizations help identify themes in customers' words without reading through every review, and make it easy to:

• Analyze customer survey data and answer to open-ended questions

• Process and understand customer reviews

• Examine your social media channels

• Identify and prioritize product testing initiatives

• Visualize results and share them with your team

One Cauliflower customer says, "[Cauliflower is] great for visualizing the output, particularly finding relevant patterns in comparing breakouts and focussing our qualitative analysis on the big themes emerging."

Best for: product marketers and developers who want no-code AI analytics.

Pricing: free plan available; paid plans from $49/month.

11. MonkeyLearn

MonkeyLearn is no-code analytics software for CX and product teams. Note that MonkeyLearn is now part of Zendesk, which may affect future pricing and integration options.

How MonkeyLearn analyzes qualitative data

MonkeyLearn automatically sorts, visualizes, and prioritizes customer feedback with its AI-powered algorithms. Along with organizing your data into themes, the tool will split it by intent—allowing you to promptly distinguish positive reviews from issues and requests and address them immediately.

One MonkeyLearn user says, “I like that MonkeyLearn helps us pull data from tickets automatically and allows us to engage with our customers properly. As our tickets come in, the AI classifies data through keywords and high-end text analysis. It highlights specific text and categorizes it for easy sorting and processing."

Best for: CX and product teams who need automated ticket classification and feedback sorting.

Pricing: free plan available; paid plans from $299/month (now part of Zendesk).

AI-powered vs traditional QDA tools

When choosing qualitative data analysis software, one of the biggest decisions is whether to use AI-powered tools or traditional manual coding approaches. Each has distinct advantages depending on your research goals.

AI-powered tools like Contentsquare, Thematic, and MonkeyLearn offer:

• Faster initial theme identification across large datasets

• Automated sentiment analysis and categorization

• Real-time insights as new feedback comes in

• Lower learning curve for teams without research training

Traditional manual coding tools like NVivo, ATLAS.ti, and MAXQDA provide:

• Greater control over coding decisions and interpretations

• Transparent audit trails required for academic research

• Deeper theoretical sensitivity for nuanced analysis

• Reproducible methodology that can be documented and defended

For many teams, the answer isn't either/or. A hybrid approach often works best: use AI tools to quickly surface initial patterns and themes, then apply manual coding to validate findings and explore nuances the algorithm might miss.

Contentsquare's AI-driven sentiment analysis, for example, can quickly categorize thousands of feedback responses, while your team focuses manual attention on the most critical or ambiguous cases.

Contentsquare's AI, Sense, tracks sentiment across survey responses.

The key question to ask: does your research require a defensible audit trail, or do you need speed and scale? Academic researchers and teams conducting formal studies typically need traditional tools. CX teams analyzing ongoing customer feedback often benefit more from AI automation.

How to choose the right QDA tool

With 11 strong options available, selecting the right QDA software comes down to matching tool capabilities to your specific needs. Here are the key factors to evaluate:

Consider your primary use case

Different tools excel for different research contexts:

• Academic research: NVivo, ATLAS.ti, and MAXQDA offer the rigor, audit trails, and methodological flexibility that formal research requires

• UX research: Dovetail and Delve provide collaborative features and intuitive interfaces designed for product teams

• Customer experience analysis: Contentsquare, Thematic, and MonkeyLearn specialize in analyzing ongoing customer feedback at scale

Evaluate AI capabilities vs. manual control

Consider how much automation you want versus how much control you need:

• If you're analyzing thousands of feedback responses and need quick insights, AI-powered tools save significant time

• If your research requires transparent methodology and reproducible coding decisions, traditional manual tools are essential

• Many teams benefit from using both: AI for initial passes, manual coding for validation

Factor in team collaboration needs

Think about how your team will work together on analysis:

• Multi-user access: most enterprise tools support team accounts, but pricing often scales per user

• Sharing and permissions: Dovetail, Contentsquare, and Qualtrics offer robust sharing features for cross-functional teams

• Integration with existing tools: Contentsquare's Slack and Microsoft Teams integrations, for example, make it easy to share insights without leaving your workflow

The next step in automating qualitative data analysis

Qualitative data analysis tools help you uncover actionable insights and concise summaries from customer feedback, reviews, interviews, and survey responses—without getting lost in data.

But there's no one tool to rule them all: each solution has specific basic functionality, and your team might need to use tools together depending on your objectives. Start by identifying your primary use case, then evaluate whether you need AI automation, manual coding rigor, or a combination of both.

With the right qualitative data analysis software, you can make sense of what your customers really want and create better products for them, achieving customer delight and loyalty.

FAQs about qualitative data analysis software