What is Mood Score?
Mood Score is a metric used to measure the overall sentiment of employees who participated in a chat or survey with Amber during in a given timeframe. Mood Score is calculated as the average of responses to the overall mood question, asked at the beginning of the reach-out.
Why does Mood Score matter?
The Mood Score is a crucial metric for the HR teams as it provides an insight into the overall sentiment prevailing within an organization. And enables the HR teams to understand how employees feel about the organization across multiple touchpoints. This helps them identify areas of concern and take corrective actions to foster a positive work environment.
What information is available in the Mood Score Summary slide?
📌 The metric ‘Mood Score Across Demographics’ is available for Tenure, Pulse and Exit (pre-exit & post-exit) survey types. The nature of information displayed and calculations employed are the same.
1. Title of the Report
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 demographic data that is grouped by,
the display layout (Top vs Bottom or List View) and
the time period in which the data is captured.
In the example mentioned above, Tenure is the data source, Mood Score is the metric presented on this slide, Grouped by Manager is the demographic data, Top vs Bottom is the display layout, Chats sent between is the criteria, and 01 May 2022 to 01 May 2023 is the time period.
💡 The selection of chats for mood computation, demographic data, chat count threshold, display layout, sorting, and organization Mood Score can be configured at the time of report creation
2. Demographic Data
The demographic data section provides information on the demographic chosen for comparison, the cut-off for the Demographic values to be displayed on the slide as well as the sorting.
In the example mentioned above, the Demographic chosen is Manager, the cut-off applied is those demographic values with at least 40 chats, and the sorting chosen is Mood Score (high to low).
💡 The user generating the report will have the option to choose the demographic, the minimum cut-off as well as the sorting that’s applied.
3. Demographic entity with the highest positive mood score
The demographic entity which has the highest positive Mood Score (as per the mood sentiment distribution) for the given demographic criteria is called out along with the total number of chats that were responded to y people tagged to the demographic element.
In the example above, Manager 1 is the Manager that has the highest Mood Score of 75%. And the Mood Score is calculated based on the 1290 chats that were sent in the given date criteria.
💡 What happens when multiple elements have the same positive mood score? When all entities have the same positive mood score, that entity is chosen which has the highest number of chat responses.
4. Demographic entity with the highest Neutral Mood
The demographic entity which has the highest neutral Mood Score (as per the mood sentiment distribution) for the given demographic is called out along with the total number of chats that were responded by people tagged to the demographic element.
5. Demographic entity with the highest Negative Mood
The demographic entity which has the highest negative Mood Score (as per the mood sentiment distribution) for the given demographic is called out along with the total number of chats that were responded by people tagged to the demographic element.
6. Organization Mood Score
Organization Mood Score is the overall mood of all employees in the organization for the stated period. The formula used to compute the organization mood score is the same as above
💡 For instance, if 100 people are part of the organization and 30 people are in your department, assume everyone got at least 1 chat.
Mood Score is calculated using responses to overall experience questions given by 30 people in your department.
Organization Mood Score is calculated using responses to overall experience questions given by all 100 people in the organization.
📌 This section is NOT available for Pulse reachouts.
7. Display Layout
The slide can be summarized by categorizing data either as 'Top vs Bottom' performing values or as a List View
Top vs Bottom View
Top vs Bottom View
Selecting the 'Top vs Bottom' view shows comparisons between the top-performing entities and the least-performing entities within the demographic.
A minimum of 3 and a maximum of 50 demographic entities can be displayed in the ‘Top vs Bottom’ view. This can be configured at the time of report creation.
💡 If there are fewer than or equal to 2 demographic entities in the Top or Bottom views, the 'Top vs Bottom' view automatically changes to a 'list view'.
📌 The thresholds for classifying demographic elements as Top or Bottom are configurable. Please contact your Amber SPOC.
List View
List View
Selecting the ‘List View’ shows all the entities within the demographic as a List as shown in the image below.
A minimum of 3 and a maximum of 100 demographic entities can be displayed as a List. This can be configured at the time of report creation.
💡 The ‘List View’ can be sorted by:
(i) Mood Score: High → Low or Low → High
(ii) Volume of chats: High → Low or Low → High
(iii) Demographic Values: a→z or z→a
Columns in the slide
Demographic
This represents the demographic chosen for comparison. For Example, the demographic chosen in the image is Manager. In this column, all the demographic elements (departments in this case) defined in the system will be listed here if the people tagged to the departments have been reached out during the period.
📌 If none of the members within a demographic were reached out during the reporting period, that department will not be listed on the screen
📌 The total number of people who were NOT tagged to any demographic is called out on the slide so that people interpreting the slide can factor this information and any corrective measures can be taken to address such gaps.
Respondents
Respondents here refer to those who are tagged to the Manager and have completed one or more amber reachouts during the reporting period.
Chats Sent
Chats Sent refers to the number of reach outs that have been completed by people during the reporting period.
Mood Score
The Average Mood Score is calculated as
Mood Sentiment distribution
Positive mood percentage = Number of responses where the response is a positive mood (4, 5) / Total number of responses to overall experience question.
Neutral mood percentage = Number of responses where the response is a positive mood (3) / Total number of responses to overall experience question.
Negative mood percentage = Number of responses where the response is a negative mood (1, 2) / Total number of responses to overall experience question.