Elements are specific areas within each broad themes defined within the inFeedo Employee Experience(EX) framework which we call Drivers. Elements aim to give deeper insights on well is the organization doing on specific areas of employee satisfaction and happiness. The Employee Experience (EX) framework is created based on both primary and secondary research including inputs from subject matter experts, CHROs, HRBPs, and ethnomethodological research.

The EX Framework identifies 57 elements (associated with 7 key drivers) that provide a comprehensive measure of experience at every touchpoint & stage in an employee’s tenure.

The Element Summary metric gives you a snapshot of specific aspects of the engagement in addition to insights at the driver level. This helps you identify Elements within each Driver that are working well and those that need improvement, aligning your attention on appropriate areas.

The title of the report gives you essential information such as the data source the report is generated from, the metric which is present on the slide, the type of data, and the time period in which the data is captured.

In the example mentioned above, Tenure is the data source, Element Summary is the metric presented on this slide, Chats Sent between is the criteria, and 01 May 2022 to 01 May 2023 is the time period.

The content is subject to change based on the configurations selected at the time of report generation.

The Element Score Distribution section provides information on the elements chosen for comparison as well as the threshold applied (number of responses to questions tagged to elements).

In the example mentioned above, 6 elements are chosen, with atleast 1 answer as a threshold.

In this column, all the select elements will be listed.

Respondents here refer to the people who have answered one or more questions tagged to the elements during the reporting period.

Questions here refer to the number of unique questions tagged to the specific element that was answered by the respondents during the reporting period (irrespective of the language in which the question was answered).

Answers here refer to the number of answers given to questions tagged to the specific element by the respondents during the reporting period.

The number in the brackets represents the % answers received for this element considering all selected elements. It is computed as

Score refers to the Element Score for the specific element, and is calculated as follows:

Score = sum of responses (1,2,3,4,5) to questions tagged to the specific element / Number of questions responded to tagged to that element.

The Delta column here refers to the Past Period Comparison, which allows you to compare the Element Score of the current period to that of the previous period to understand the difference.

Element score calculation for the past period follows the same calculation formula stated below:

Delta (as %) = (Element score of the current period - Element score of the past period) / Element Score of the past period.

A positive number is indicated with a green triangle, while a negative number is indicated using a red triangle.

Two types of past-period comparisons can be configured:

Element Sentiment Distribution helps understand the breakdown or distribution of answers based on sentiments such as positive, neutral, and negative for each element (as a percentage of total answers received for the driver)

The slide can be summarised by categorising data either as 'Top vs Bottom' performing elements or as a list.

The Element Summary slide now features AI Summary, which offers valuable insights when configured with the "Top vs Bottom" view. The AI Summary provides chat based data, detailing what's going well and what needs improvement along with actionable next steps for Top and Bottom scoring elements.

AI Summary is available only for the Element Summary slide for Tenure and Non-Anonymous Pulses.

Report Studio predominantly has been showing quantitative insights on its slides. Now, admins will also be able to view crucial qualitative insights from real chat answers of the employees.

Along with the scores, metrics and trends - now understand the WHY behind those numbers. Using the insights from real chat data of employees and AI suggested actionable steps - get better equipped with information about employee opinions and issues.

📧 Should you have any questions or require further assistance, please don't hesitate to reach out to us at help@infeedo.com. We're here to ensure you obtain the most value from this feature.