Introduction - Filter the information
GETTING STARTED
Chapter II. Filter to discover insights
Introduction
For the CXinsights.io solution, filtering means selecting a group of comments.
This selection will be characterized by analytical results, emotions, and changes over time. The filtering functionality on the solution is very functional. It allows the use of an intelligent auto-completion system in all input fields. It also saves time on a daily basis in any data search. We propose you to discover these enhanced features through several articles that will help you in your daily life of data analyst:
Executive Summary
All rights reserved: Qemotion France SAS (2021)
About Qemotion –
We are offering a Customer Experience solution called “Cxinsights.io”. The goal of our SaaS Solution is to capture emotions from survey comments and webreviews to unlock valuable insights, identify irritating points and reduce churn.
Related Articles
Filter by data source
A project can come from several sources. On any project, a Source key criterion has been created by default. To access it, you must access the white banner at the top of the page in the dedicated search field (if not visible, click on More ...
Filter comments by size
For all projects, you can filter by comment size criteria and this filtering is accessible through the filter bar. This filter is useful to select verbatim examples according to the size you want to assign for this purpose in an email or ...
Select a project
The data has been integrated and processed and you want to access it? All comments and analyses on the platform are grouped into Project entities. A project is a group of data collected from one or more sources (surveys, social opinions, social ...
Filter by period
Time is a major dimension because all customer experience parameters change over time: products, locations, human contact points, etc. and period comparison is an easy way to observe the improvement and deterioration dynamics at play mentioned by ...
Filter by your dimensions (Survey)
For surveys, when the data are responses to a satisfaction questionnaire, NPS or other, each line of data in the data file may have a date, a respondent (ID), several comments, and a large amount of classification, profile, segmentation, and/or ...