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 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?
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 type of data, 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, 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.
💡 Note:
There can be multiple permutations and combinations for the title of the slide from the three data sources (Tenure, Pulse, and Exit) and from the various metrics on the Dashboard.
Multiple slides can also have the same title but with varying data depending on how the individual slides are configured at the time of report generation
2. Recipients / Audience Size
This refers to the number of people who have received one or more chats from the total number of people who meet the demographic and filter criteria configured at the time of report generation.
In the example above, 1307 represents the number of people within the user’s access who have been sent one or more chats, whereas 3024 is the total number of people in the user’s access. These numbers are subject to change based on the demographic filters applied at the time of report generation.
3. Chats Sent
This refers to the total number of chats sent to the recipients for the selected criteria in the given time period.
In the example above, 3109 chats have been sent across 1307 people
It is essential to note that any person can receive multiple chats within the pre-defined criteria, and it is not mandatory that every person in this group would have received the same number of chats.
📌 When creating the report, the user can change the configuration “Select all chats for mood computation”. If set to No, only the latest chat per person, the system will only consider the latest chat sent to the person and not all chats sent across the period.
4. Average Mood Score
The average Mood Score is calculated as follows:
4.1 Past period Comparison
The past period comparison allows you to compare the average Mood Score to that of the previous period to understand the difference in response rates. Two types of past-period comparisons can be configured:
Comparison with the immediately preceding period This considers the same timespan before the current reporting period. If the current period is for 1 quarter, 1 month, or 43 days, the past period will also consider the same time frame ending just before the current period starts.
In the current example, the current time period is 30 months spanning from 14 Aug 2020 to 23 Feb 2023. Therefore, the past period comparison will begin 30 months prior to 14th Aug 2020 and end on 13th Aug 2020
Comparison with the same date and month, but in the previous year This comparison considers the same span of time, but one year ago (irrespective of how long the period is).
For instance, if the reporting period is 01st May 2022 to 31st May 2023, the past period would be 01st May 2021 to 31 May 2022.
⚠️ This option is available only when the reporting period is 1 year or less
5. Organization Mood Score
Organization Mood Score is the combined Mood of all employees in the organization for the stated period.
💡 For instance, if 100 people are part of the organization and 30 people are in your department, and assuming everyone got at least 1 chat.
Mood Score is calculated based on the responses from 30 people in your department. Organization Response Rate is calculated based on the responses from all 100 people in the organization.
6. Mood Distribution
Response Distribution helps understand the breakdown or distribution of chat interactions based on specific criteria. It provides an overview of how the chats are distributed among different states or buckets.
In this case, the distribution highlights the number of chats (and the percentage split) across the states: Very Happy, Happy, Neutral, Sad, Ver Sad, and Not Responded
📌 When creating the report, the user can set the configuration “Include yet to start chats in mood distribution’. If set to No, the system will show mood distribution based on the responses received for the mood question (Not responded will NOT be shown)
7. Mood Score Trend
Response rate trend is a visual representation of how response rate changes over time. The line graph shows the Mood Score for each time period along with the number of chats sent.
The Horizontal axis represents the time period in which the chats were sent. The Time Period can be represented t in months, quarters, or years.
💡 Note:
The horizontal axis or the time period for the response rate can be changed at the time of configuring the slides
Monthly representation is available for up to 15 months, quarterly representation for up to 15 quarters, and yearly representation for up to 15 years.
The monthly option is available for reports having 15 months or lesser. Quarterly option is available for reports of more than 6 months and less than 45 months. The yearly option is available for reports spanning 2 years and more.
The Mood Score trend may vary based on configurations selected by the report creator. And the trend can be represented as a Normal or Cumulative trend.
💡 Normal vs. Cumulative Trend
The Normal trend shows the response rate for the chats in the specified month, quarter, or year.
Whereas, Cumulative trend shows the response rate as the sum of all chats up to the specified month, quarter, or year.