As someone who has deployed countless qualitative and quantitative research programs that have run the gamut from online surveys to in-depth interviews, to facilitated workshops, SimpleX hits all the marks and checks all the boxes of a SUPERB QDA tool.

This tool is for a very specific user—those who conduct research and seek to gain very deep insights from data. Unlike other "one-and-done" tools, SimpleX gives control to the user to ensure the output is of high quality, integerity and caliber.

Here's what I love:
• Simple, step-by-step, import process makes it easy to format your data and import it into the tool. No guesswork for how your columns and rows should be labeled.
• Nearly instantaneous analysis. Other tools may take several minutes or hours. Importing a data set of ~300 responses resulted in an analysis within 3-5 seconds.
• Answer-splitting: If a respondent provides a paragraph answer that highlights two or more differing topics, SimpleX allows you the ability to split the answer up so that you can label each response to a specific tag.
• Artificial Intelligence: The tool utilizes one of the best semantic models I've seen, automagically filtering and applying tags to similar topics, themes or contexts. The AI goes further by even recommending responses that fit your topic clusters, or findings "similar responses" in the data set.
• Versioning: HUGE benefit. Data is only as good as the manner in which it is interpreted and sliced. By including versioning, you are able to uncover multiple angles for insights.
• Filters: This is something that is gravely missing in some of the other tools offered on AppSumo (Kimola, Pivony, Deep-Talk). SimpleX allows you to create filters within your data based on categories such as Date, Location, etc.

The features that make this tool strong:
• Tools like SimpleX that have been on the market longer are very expensive and mostly tailored toward market research companies that hold corporate accounts. They are often clunky and difficult to maneuver because of poor UX/UI. SimpleX is very clean, and simple to use for the level of control it gives you.
• Many AI-focused QDA software gives users the ability to leverage machine learning, NLP, and machine vision to analyze text responses. The problem with this is that algorithms can frequently mislabel or mis-categorize because it can't understand contextual clues. SimpleX puts control in the users hands by allowing the user to adjust labels and tags, or create new tags. It allows you to re-organize the data that the AI spits out into categories and topics that make sense for you and your clients.

Here's what I'm excited about:
• I'm excited about the upcoming reports feature and am hopeful that I can share a publicly-viewable, interactive report with clients.

Great job on this tool and can't wait to follow along on its progress.