SimpleX: What's in it for me?

SimpleX use cases

Stephane_SimpleDecisions

Last Update 4 yıl önce

Let's make sure you are in the right place.


You will get benefits from SimpleX if your position 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.


SimpleX Users

To be more specific our users are typically:

  • Market research analysts
  • Marketing analysts
  • Management Consultants
  • Coaches
  • Public affairs specialists
  • Customer Experience managers


but regardless of your function, what matters is the material you are dealing with.

Textual material handled by SimpleX

Text is indeed everywhere, under an infinite variety of shapes.

SimpleX AI is optimized (ie not limited but will give best results when it comes) to handle sentences or short paragraphs, typically 300 characters or less.

There are plenty of use cases where this is exactly what you handled


Open questions from online questionnaires

Most questionnaires are made of close questions such as Y/N, 1-5 rating, multiple choice questions. But sometimes an open question is attached to a close one: 

  • Yes or No ... "could you elaborate why?"
  • Rating from 0 to 10 (eg NPS)... "could you tell us more?"


And you have also sometimes sheer open questions such as "What actions would you recommend to...?"


Whenever you have to dig into this kind of material, SimpleX is the #1 choice. It will let you review, search, filter, classify the textual answers, in context of the close questions results (rating, multiple choice, Y/N)


Contributions from digital meetings or collaborative platforms

There are now many digital meetings tools allowing to facilitate brainstorms and ideations during meetings, workshops, webinars or consultations. Those tools typically generate textual answers consisting in ideas, comments, feedbacks , suggestions or sometimes questions... They provide sometimes rudimentary tools to visualize the data (wordclouds) and an interface to manually tag or classify the answers.


Whenever you have to dig into this kind of material, SimpleX is the #1 choice. It will let you review, search, filter, classify the group ideas powered by semantic AI. Again incorporating any relevant additional information (user segment or identity, likes count...) in the analysis.


Customer feedback

Customer feedback is everywhere, flowing from social channels, embedded customer ratings systems (eg Google reviews)

Most of these customer feedbacks are collecting two informations: a rating (1 t 5 stars, 0 to 10 NPS score) and a textual comment of the rating.

Most systems provide from rudimentary to advanced dashboards and reporting tools to track the evolution of the quantitative index.

Yet, they rarely provide solid support to analyse textual comments: at best keyword extraction, and standard sentiment analysis.


Whenever you have to dig into this kind of material, SimpleX is the #1 choice. It will let you review, search, filter, classify the customer comments powered by semantic AI. You classify along your custom ontology, define your own topics or subtopics, always in context of the quantitative metric (rating). 


Interview quotes

If your business involves capturing quotes, from focus groups, from direct interviews, reviewing and extracting insights from these interviews is a time-consuming task, often mirroring the time spent interviewing ... to listen again to the audio and take relevant notes.

Getting a proper written transcript is a first useful but insufficient step, allowing to read (faster than listen).

With SimpleX, you can import the transcript and facilitate the whole process: searching, filtering, grouping, srufacing the key topics and most important ideas, analyzing different angles along the different speakers. 



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