RQDA vs consider.ly

Struggling to choose between RQDA and consider.ly? Both products offer unique advantages, making it a tough decision.

RQDA is a Education & Reference solution with tags like coding, text-analysis, audio-analysis, video-analysis, images-analysis, insights-discovery.

It boasts features such as Import documents, PDFs, images, audio, video, and spreadsheet files, Code text, image, audio, and video sources, Create a hierarchy of codes and categories, Memos for documenting coding and analysis, Search and retrieve segments based on codes, Visualize code co-occurrence with graphs, Export coded data, Generate reports and pros including Free and open source, Available on Windows, Mac, and Linux, Intuitive and easy to use interface, Support for multiple file formats, Powerful search and retrieval, Visualization for seeing code relationships, Customizable reports.

On the other hand, consider.ly is a Business & Commerce product tagged with feedback, research, surveys, interviews, analytics.

Its standout features include Create surveys to collect quantitative feedback, Conduct 1-on-1 interviews to gather qualitative insights, Collect NPS scores to measure customer satisfaction, Analyze results and feedback to inform product decisions, Integrations with tools like Slack, Jira, etc, Customizable and branded surveys, Schedule and automate surveys, and it shines with pros like Easy to create and send surveys, In-depth qualitative feedback from interviews, Quantitative data from surveys, Powerful analytics and reporting, Integrates with existing workflows, Customizable and on-brand.

To help you make an informed decision, we've compiled a comprehensive comparison of these two products, delving into their features, pros, cons, pricing, and more. Get ready to explore the nuances that set them apart and determine which one is the perfect fit for your requirements.

RQDA

RQDA

RQDA is a free, open source software for qualitative data analysis that runs on Windows, Mac, and Linux. It provides easy-to-use features for systematically coding and analyzing textual data, audio/video files, images, and other types of documents to uncover patterns and extract meaningful insights.

Categories:
coding text-analysis audio-analysis video-analysis images-analysis insights-discovery

RQDA Features

  1. Import documents, PDFs, images, audio, video, and spreadsheet files
  2. Code text, image, audio, and video sources
  3. Create a hierarchy of codes and categories
  4. Memos for documenting coding and analysis
  5. Search and retrieve segments based on codes
  6. Visualize code co-occurrence with graphs
  7. Export coded data
  8. Generate reports

Pricing

  • Open Source

Pros

Free and open source

Available on Windows, Mac, and Linux

Intuitive and easy to use interface

Support for multiple file formats

Powerful search and retrieval

Visualization for seeing code relationships

Customizable reports

Cons

Limited support and documentation

Not as full-featured as proprietary CAQDAS tools

No built-in transcription or collaboration features

Steep learning curve for some advanced features


consider.ly

consider.ly

consider.ly is a feedback and product research platform that allows product teams to collect insights from customers and users. It provides features to create surveys, conduct 1-on-1 interviews, collect NPS feedback, and analyze results to inform product decisions.

Categories:
feedback research surveys interviews analytics

Consider.ly Features

  1. Create surveys to collect quantitative feedback
  2. Conduct 1-on-1 interviews to gather qualitative insights
  3. Collect NPS scores to measure customer satisfaction
  4. Analyze results and feedback to inform product decisions
  5. Integrations with tools like Slack, Jira, etc
  6. Customizable and branded surveys
  7. Schedule and automate surveys

Pricing

  • Freemium
  • Subscription-Based

Pros

Easy to create and send surveys

In-depth qualitative feedback from interviews

Quantitative data from surveys

Powerful analytics and reporting

Integrates with existing workflows

Customizable and on-brand

Cons

Can get expensive for large teams or volumes of responses

Interview recruitment needs to be managed manually

Advanced analytics features in higher tiers only

Steep learning curve for some advanced features