Struggling to choose between consider.ly and MAXQDA? Both products offer unique advantages, making it a tough decision.
consider.ly is a Business & Commerce solution with tags like feedback, research, surveys, interviews, analytics.
It boasts features such as 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 pros including 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.
On the other hand, MAXQDA is a Office & Productivity product tagged with qualitative-analysis, coding, transcription, text-mining, visualization.
Its standout features include Code text, audio, video and images, Retrieve coded segments easily, Visualize connections in data, Analyze text with text mining tools, Transcribe audio and video files, Team collaboration, and it shines with pros like Powerful tools for qualitative analysis, Intuitive and easy to learn interface, Support for many data formats, Great visualization options, Good for collaborative projects.
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.
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.
MAXQDA is a qualitative data analysis software used for organizing, analyzing and visualizing textual, graphical and audio/video data. It allows importing data from interviews, focus groups, surveys, audio, videos, tweets, literature, webpages, images, PDFs and more. Key features include coding text, retrieving coded segments, visualizing connections in data, analyzing text with text mining tools, transcribing audio/video files, and team collaboration.