NVivo Reviews & Pricing

by Lumivero | Founded 1995, Denver, CO

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What is NVivo?

Industry Specialties: Serves academia, commerce, government, nonprofit and healthcare industries

NVivo is a qualitative data analysis solution for academic and industrial research. It lets users code and visualize their findings from interviews, surveys, text documents and demographic information. It’s helpful in social sciences, education and healthcare.

It has a friendly interface, powerful searches and advanced graphics. Once set up, the system can perform automatic sentiment analysis. Users can record the coding schemes and use them across the data. Documenting the steps enables future researchers to validate the research.

The vendor offers exclusive modules for collaboration and transcription. Its Collaboration Cloud lets many people work on the same project.

Pros

Powerful data management
Rich coding and query tools
Visualizations and data exploration
Team collaboration features
Support for various data formats

Cons

Steep learning curve
Can be expensive for individuals
Limited free trial/demo
Not ideal for simple projects
Occasional bugs and glitches

PRICE

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DEPLOYMENT

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User Sentiment i

Based on 179 reviews:

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#42

NVivo is ranked #42 in the Business Intelligence Tools product directory based on the latest available data collected by SelectHub. Compare the leaders with our In-Depth Report.

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NVivo Pricing

Based on our most recent analysis, NVivo pricing starts at $99 (Per User, Monthly).

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Starting From: $99
Pricing Model: Per User, Monthly
Free Trial: Yes, Request for Free

Training Resources

NVivo is supported with the following types of training:

Documentation
In Person
Live Online
Videos
Webinars

Support

The following support services are available for NVivo:

Email
Phone
Chat
FAQ
Forum
Help Desk
Knowledge Base
Tickets
Training
24/7 Live Support

NVivo Benefits and Insights

Why use NVivo?

Key differentiators & advantages of NVivo

Boost ROI: Tap into buyer sentiment by noting their needs and preferences and applying them to product development. Push sales by fine-tuning marketing campaigns.
Innovate: Launch new products and improve existing offerings. Go beyond numbers and discover what customers think and feel with thematic and sentiment analysis.
Act: Save time while searching for information. Organize data from various sources, such as interviews, surveys and social media, in one system.
Improve Services: Build stronger customer associations by serving them better. Identify their pain points and improvement areas by analyzing feedback.
Save Money: Free resources for more strategic work by automating tasks like transcription — auto-code interviews with NVivo 14.
Test Drive: Try it for 14 days free, including the Collaboration Cloud.

Industry Expertise

NVivo serves academia, commerce, government, nonprofit and healthcare organizations. Other industries that use it include social sciences, government, education and aerospace companies.

NVivo Reviews

Average customer reviews & user sentiment summary for NVivo:

179 reviews

82%

of users would recommend this product

NVivo has a 'great' User Satisfaction Rating of 82% when considering 179 user reviews from 2 recognized software review sites.

Synopsis of User Ratings and Reviews

Based on an aggregate of NVivo reviews taken from the sources above, the following pros & cons have been curated by a SelectHub Market Analyst.

Pros

Data Management: Organize and store various data types (text, audio, video, images) in one secure location.
Flexible Coding: Employ diverse coding approaches (tree, auto and query) to categorize and analyze data based on research questions.
Relationship Exploration: Uncover connections and hierarchies between codes using visual network maps and relationship coding.
Advanced Querying: Search coded data for specific terms, patterns or code combinations to identify key themes and trends.
Visualizations: Generate various visualizations (word clouds and concept maps) to present complex data findings clearly.
Collaboration: Share and collaborate on projects with other researchers using cloud-based options or file exports (depending on the version).
Support & Resources: Benefit from extensive online resources, tutorials, and user communities for troubleshooting and learning best practices.

Cons

Steep Learning Curve: New users often report difficulty in mastering NVivo's features quickly, which impacts their productivity and project timelines.
High Cost: Some users find NVivo's pricing to be prohibitive, particularly those from smaller institutions or independent researchers with limited budgets.
Limited Cross-Platform Support: NVivo's limited compatibility with non-Windows operating systems can be a barrier for Mac or Linux users, who may have to seek alternatives or use virtual machines.
Resource Intensiveness: NVivo can be demanding on computer resources, leading to performance issues on less powerful machines, which can frustrate users when handling large data sets.
Occasional Software Bugs: Users occasionally encounter bugs that can disrupt workflow and require waiting for patches or updates, affecting the software’s dependability.
Rigid Licensing Policy: NVivo's licenses can be inflexible, and transferring a license to another computer can be problematic, causing inconvenience to users who need mobility.
Complex Data Importation: Some users find importing data from various sources into NVivo cumbersome, which could lead to a time-consuming setup process.

Researcher's Summary:

NVivo is qualitative data analysis software that received positive reviews from users. They appreciate its user-friendly interface, powerful features and ability to handle large datasets.

However, some users complained about lax customer support and the occasional bug.

NVivo is popular but not as robust as some of the other options. It’s also expensive. However, many users believe that the extra cost is worth it for the additional features and functionality. It has robust coding features to analyze large amounts of data quickly.

Overall, NVivo is a user-friendly qualitative data analysis software that can be expensive and complex for individual users but is a handy assistant for teams.

Key Features

Data Import: Pull data from mobile apps like Evernote and organize it using folders, sets or file classifications. It supports transcripts, articles, audio/video recordings and social media content.
Qualitative Analysis: Uncover hidden insights using powerful search tools. It turns interviews, surveys and documents into charts, word clouds and maps.
Thematic Analysis: Understand findings after digging deep into gathered data and spot emerging themes.
Integrations: Combine research materials in one place. Allows direct imports from Microsoft Office. Plus, it can use data from SurveyMonkey and social media platforms.
Sharing and Publishing: Export results, models and charts to various formats, including Excel, Word, text, rich-text and PDF files. Use the system clipboard to copy and paste graphics into reports and presentations.
Transcription: Review and edit transcripts, tag speakers, and add notes, then import transcripts directly into NVivo for analysis. NVivo Transcription auto-transcribes uploaded audio files, with support for 28 languages.
Multilingual Options: Analyze data in Chinese, Japanese, English, French, German and Portuguese, among other languages.
Collaboration Cloud: Work together to co-author research projects. A user uploads a master project to a secure cloud workspace, enabling others to download and work on it offline and then seamlessly merge their edits back into the main project.

Approach to Common Challenges

Subjectivity: It has set coding methods and the option to document the coding schemes and steps followed during analysis. This way, future researchers can see what previous users recorded and interpret the information after validating it.
Replication Difficulty: It provides the tools and features for discourse analysis, grounded theory and ethnography. Future researchers can use the same tools and data to replicate the analysis and document the steps.
Limited Quantification: It turns qualitative data into numbers with coding. Then, it searches for helpful themes that indicate emerging trends and patterns in data. Automated sentiment analysis speeds up insights.
Data Overload and Management: It assists in organizing data to enable fast searches. Automated analysis speeds up data processing as it comes in, reducing the burden on the solution.
Reliability and Validity: By delegating analysis to the system, users can reduce the chances of human bias. Define coding schemes and follow them throughout the data.
Time-Intensive Nature: Delegating tasks to the system with automation saves time. Researchers can work together on the same project wherever they are.

Cost of Ownership

Frequently asked questions regarding NVivo pricing include:

Q: How much does NVivo cost, and what are the different licensing options?

A: Pricing starts around $849 for academics and $99 per user per year for teams (cloud-based). The final cost can vary depending on business needs and team size.

Q: Is there a free version of NVivo?

A: Yes, a 14-day free trial provides full functionality.

Q: Are there any discounts for students or academic users?

A: NVivo offers 12-month student licenses online, making it a cost-effective option for research. If cost is a concern, explore free, open-source software or check with the university library or research department.

Q: Are there any additional costs for modules or add-ons?

A: NVivo Collaboration Cloud enables real-time teamwork for up to five users and costs $499 (each additional user costs $99 extra). It's excellent for working together on research, even when located remotely.

Once set up, the NVivo Transcription module saves time by converting speech to text for analysis. The vendor offers usage for 50 hours for $499.

Q: Are there any discounts for long-term commitments?

A: Academic institutions can lock in a lower price by committing to using NVivo for an extended period. The specific price depends on the chosen term and the institution's student FTE (Full-Time Equivalent) count.

Limitations

Some of NVivo’s limitations at the time of this review’s publication, based on user feedback, include:

A perpetual license is expensive, while the more affordable student license is limited to a 12-month subscription.
Lacks full compatibility between new and old versions.
Might lose data when moving content from a Windows to a Mac system.
Can’t import PowerPoint presentations directly.

Demo Resources

Lumivero's NVivo 3-Part Overview Demo Series: Learn how to use the latest features for importing, organizing and exploring data in NVivo for Windows. Self-paced learning is available.
NVivo Academy: Get certified courses in data import, organization and analysis through the vendor’s online academy.
Free Webinars and Tutorials: Learn about Nvivo’s basic and advanced features with free on-demand webinars and tutorials on the vendor's website, YouTube and LinkedIn (Lynda.com).
Library Guides and Resources: Many online university libraries offer information, tips and helpful links.

FAQs

Frequently asked questions regarding NVivo include:

Q: What are the system requirements for NVivo?

A: Minimum system requirements:

2.0 GHz dual-core processor (64-bit)
4 GB RAM
1680 x 1050 screen resolution
Microsoft Windows 8.1
Approximately 5 GB of available hard disk space

Recommended system requirements:

3.0 GHz quad-core processor or faster
8 GB RAM or more
1920 x 1080 screen resolution or higher
Microsoft Windows 8.1 or later
Approximately 8 GB of available hard disk space

Q: How do I import my data into NVivo?

A: The import process involves selecting the files and choosing the appropriate import options based on the data type. To avoid errors, select the correct encoding and delimiters for structured data.

Q: How do I code my data in NVivo?

A: Coding involves assigning labels or categories to data segments to identify key themes and concepts. It offers tree, auto and query coding. Consider using a coding scheme that aligns with the research questions and data structure.

Q: How do I create relationships between codes in NVivo?

A: Establish data relationships, layers and overlaps using code. Form groups and subgroups to dive deeper into data and see how they interact with relational coding. Visualize these connections with network maps to spot trends and themes.

Q: How do I analyze my data in NVivo?

A: Search terms and patterns in interview and survey transcripts with queries. Explore trends with word clouds or maps. Make reports to share findings clearly.

Q: How do I share my NVivo project with others?

A: Export coded data, reports, visualizations, or even an entire project for seamless collaboration. Keep in mind that collaborators might need the same NVivo version or compatible software to open the files.