Software Alternatives, Accelerators & Startups

EnjoyHQ VS MAXQDA

Compare EnjoyHQ VS MAXQDA and see what are their differences

EnjoyHQ logo EnjoyHQ

A customer research platform for product teams

MAXQDA logo MAXQDA

a professional software for qualitative and mixed methods data analysis
  • EnjoyHQ Landing page
    Landing page //
    2023-08-02
  • MAXQDA Landing page
    Landing page //
    2023-09-13

EnjoyHQ videos

EnjoyHQ for Product Managers

MAXQDA videos

Literature Reviews with MAXQDA

More videos:

  • Review - Literature Reviews (Literaturrecherche) mit MAXQDA 2018
  • Review - Qualitative Data Analysis with MAXQDA (Intro Webinar)

Category Popularity

0-100% (relative to EnjoyHQ and MAXQDA)
User Experience
100 100%
0% 0
Market Research
0 0%
100% 100
UX
100 100%
0% 0
Text Analytics
0 0%
100% 100

User comments

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Reviews

These are some of the external sources and on-site user reviews we've used to compare EnjoyHQ and MAXQDA

EnjoyHQ Reviews

We have no reviews of EnjoyHQ yet.
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MAXQDA Reviews

  1. A data analysis tool for business, government, and academic research projects

    The use of QDA software in social science research is so common that many people tend to see QDA software as a tool primarily for social science research. However, applications like MAXQDA are invaluable productivity tools for research analysts in industry or government as well.

    Remarkably scalable, MAXQDA employs a database architecture that can handle research projects ranging in size from several dozen pages to tens of thousands of pages. Many projects today involve identifying connections found among information stored in PDF, Powerpoint presentations, Word documents, photos, videos, and audio recordings. MAXQDA allows users to code relevant sections of each document, identify interrelationships among documents, build relationships among diverse sets of documents and identify thematic trends.

    MAXQDA features a simple 4 pane interface that makes it easy to use. The Document System- is where you place documents (text, images, video, or sound files) you want to analyse. The Document Browser is where you view the content of the document. The Coding System shows the various codes that you create and assign to documents. The Retrieved Segments Pane shows search results.

    🏁 Competitors: ATLAS.ti, NVivo, QDA Miner, HyperResearch, Quirkos

Social recommendations and mentions

Based on our record, EnjoyHQ seems to be more popular. It has been mentiond 1 time since March 2021. We are tracking product recommendations and mentions on various public social media platforms and blogs. They can help you identify which product is more popular and what people think of it.

EnjoyHQ mentions (1)

  • Research repository tips
    Other options include EnjoyHQ, Aurelius, and Condens. Out of those 3, I tried Condens last year and gave up on it, because the transcription quality was sub-par. When we were considering which tool to use earlier this year, the video montage option and the ability to do the analysis fully from the tool swayed us, and we ended up picking Dovetail. So it really depends on what you want the repository to do, support... Source: over 2 years ago

MAXQDA mentions (0)

We have not tracked any mentions of MAXQDA yet. Tracking of MAXQDA recommendations started around Mar 2021.

What are some alternatives?

When comparing EnjoyHQ and MAXQDA, you can also consider the following products

Dovetail - Mobile Cloud-Based Dental Software

NVivo - Buy NVivo now for flexible solutions to meet your specific research and data analysis needs. 

Condens.io - Make storing, analyzing and sharing all UX research data easier, faster and more enjoyable.

ATLAS.ti - ATLAS.ti is a powerful workbench for the qualitative analysis of large bodies of textual, graphical, audio and video data. It offers a variety of sophisticated tools for accomplishing the tasks associated with any systematic approach to "soft" data.

productboard - Beautiful and powerful product management.

QualCoder - A very complete Free and Open Source Software (FOSS) Computer-Assisted Qualitative Data Analysis Software (CAQDAS) written in Python. It works with text, images, and multimedia such as audios and videos.