Qualitative Data Analysis

Analyze interviews with consider.ly

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Easy to use

Begin right away with coding/tagging your interviews. Create a taxonomy of tags on the fly. Qualitative data analysis was never easier. Watch the video to get a glimpse.
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Powerful features

Code your interviews, explore your qualitative data, spot themes and patterns with a graphical UI, auto-transcribe your recordings, aggregate your findings in insights, and many more. See all features below.

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Free for students*

Youโ€™re writing your thesis or an academic paper? You can use consider.ly for free! Just get in touch with us.*

* We donโ€™t have an automatic process for students yet. You can just start your free 30-day full-feature trial now, and contact us within these 30 days. Weโ€™ll figure everything out together.

How to analyze interviews in consider.ly?

Watch the video to see how to analyze your interviews, highlight important user quotes, easily transcribe audio/video recordings, spot patterns and discover new themes, link quotes to insights, and more. Make analyzing qualitative data a breeze!

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All Features of consider.ly

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Notes

  • Create projects and take notes from data such as interview transcripts
  • Organize your notes intuitively via drag and drop
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Convenient file upload

  • Attach interviewee images, video recordings, and any other files to your notes
  • Store your raw research data logically
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Advanced tagging

  • Use tags to highlight important quotes or sentiment
  • Define individual patterns and structure your data
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Sharing insights

  • Ready to create, present, and share your insights 
  • Back your research and support your findings with bundled data from interview insights
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Sentiment analysis with AI

  • Our AI determines the sentiment of interviewee quotes automatically for you
  • Assign specific tags for positive and negative connotations within your notes
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AI-generated transcripts

  • Enjoy useful AI-generated transcripts of your video and audio files
  • Insert transcripts directly into your notes
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Pattern discovery

  • Search through your tags to discover recurring themes
  • Identify patterns across notes and projects thanks to visualizations
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Beneficial real-time collaboration

  • Synchronize your work across all devices and for all team members
  • Take notes and generate insights collectively
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Establish teams

  • Collaborate with your team, including granular access to data
  • Easily share insights and findings with your stakeholders
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Individual templates

  • Kick-start your studies using custom templates
  • Pre-defined tag taxonomies that align with your organizationโ€™s individual research system
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Data discovery

  • Explore your data through helpful graphs, diagrams, and statistics
  • Discover and visualize patterns in your tagged observations
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GDPR compliant

  • We highly value the security and protection of your data
  • All cosider.ly servers are located in Germany
  • Data Processing Order is available for Enterprise customers

Upcoming Features

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Even easier workflows

  • Integrate your existing workflow into consider.ly
  • Exporting data from and into Jira, Confluence, Trello, and many more
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More effortless data import

  • Directly load your data into consider.ly.
  • Import user research data from local text files or Google Docs
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Even faster Tagging

  • Benefit from a refined tagging experience with automatic rule-based tagging
  • Get the most out of your data in the least amount of time
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Tagging media files

  • Highlight certain parts of images, videos, or audio files to find new insights
  • Reference to the exact relevant position in media files
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More presentation options

  • Export your insights into Powerpoint or PDF or a format of your choice
  • Present your insights out of consider.ly
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Powerful media manager

  • All uploaded files in one place to comply with data storage retention periods
  • Insert any uploaded file into multiple notes or videos
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consider.ly inbox

  • Incoming research questions and interview data drops directly into your inbox
  • Define custom rules to automate the inflow of your data
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We appreciate your input!

Reach out to let us know how consider.ly can support your user research in the best possible way