SimpleX Discovery tour

SimpleX is the most efficient console to analyse qualitative data thanks to its embedded semantic A.I. features and its great User Interface. Ok... but what else?

Whenever A.I. is mentioned, some people expect pure magic, some others human replacement. SimpleX is not a hazy concept and has nothing to do with magic.

It is NOT an automation blackbox, taking raw text as an input and spitting a finish product in the end.

It is NOT a complex tool only for experts of any sort,  be it in the semantic space or the data processing space

it is NOT a magical tool providing 100%-perfect results for any complex semantic processing it encompassed 

SimpleX is a tool designed to empower users who have to process qualitative data in a very natural way.

It is a simple user-friendly User Interface, free of technical lingo, to handle textual objects imported from any spreadsheet.

It encompasses many features accelerating all the key processes required to analyse qualitative data: search, filter, counting, tagging, clustering, classification, because most of these features are powered by state-of-the-art Natural Language Processing (NLP) technologies.

The solution allows to:

• extract and import qualitative data from any spreadsheet
• search and browse within the textual data
• cluster and categorize the quotes
• visualize

It is an interface that lets you in full control to edit, create, delete, save your work down to the most detailed level. Kind of Excel ... but for language.

You will get benefits from it if your work requires you to process qualitative data (text, comments, ideas, questions, feedbacks, conversations interviews) and your only alternatives are MS Word, MS Excel... or reading a print out of all the quotes and making the synthesis in your head. 

The benefits consist in:

- Massively faster analysis

- More granular and comprehensive access to data

In short, the ability to process much more textual data in much less time.

You will find in our constantly growing Knowledge Base detailed explanations about the features and the best practices for AI-augmented analysis of qualitative data.

As an introduction, it is worth listing the following features:

• Import process

Easy 2-step process to import qualitative data while visually probing beforehand

• Keywords

Answers are automatically tagged during import with key words, expressions, locations or names contained in each quote.

• Custom Tags

Create your own tags with special relevance to you in order to keep an easy access to it

• Filter & Search

Filter and search by tag, topic or any other information imported as a filter

• Semantic search

Search based on meaning, beyond words or characters

• Topics

Group answers into topics. Create, merge or delete topics and subtopics. Manually or augmented by AI.

• Text editing

Move, copy, split, edit answers

• Classification

Classify automatically into preset custom topics or suggested by AI 

• Sentiment analysis

Categorize a quote as Positive, Neutral or Negative sentiment tone

• Originality score

Assign to a quote a score of originality score within the survey

• Charts

Treemaps, wordclouds, barcharts, automatic, adaptative