• 04 Jun 2021
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TextSens is inFeedo’s proprietary text analytics engine, which is built on top of millions of employee responses and is one-of-a-kind when it comes to interpreting employee sentiment, pulse, and categories of their issues in the context of a workplace.

TextSens helps you in:

  1. Focusing on what matters the most to their employees by analysing each and every textual feedback received through Amber in their organisation and buckets them into key categories.
  2. Deep diving into particular buckets to view each and every message tagged to the bucket.


Focus on what matters most to your employees

  1. Filter through millions of responses and have them bucketed under key categories that will help you drive the right action in your organisation.

  2. Focus on issues that matter the most with negative sentiment around each category highlighted.
    Screenshot 2021-06-04 at 12.18.55 PM

  3. Filter responses by experience drivers and engagement elements that showcase how employees are feeling about certain key experience drivers.
    Screenshot 2021-06-04 at 12.07.30 PM

  4. Slice and dice data using the date range filter to compare two different periods in time and measure the effectiveness of your initiatives.

Effectively analyse responses by experience drivers

  1. While TextSens allows you to glean key insights from millions of responses shared by your employees, you can further analyse these responses to run change initiatives.
  2. Search through employee responses by certain keywords that may be unique to your organization's context.
  3. Negative responses that need immediate attention are highlighted as you scroll by.
  4. Deep dive into each response by learning about the person, department, tenure, location etc.

Here's a short video on navigating TextSens-

Employee Experience Framework

Backed by years of primary research, our People Scientists have identified key employee experience drivers relevant at different milestones in an employee’s lifecycle in their workplace. TextSens allows you to measure these experience drivers by sifting through responses tied to each one of them.