In addition to the Sentiment Overview analytics, the platform also provides more concentrated views of the sentiment within the business. Those with access to the analytics area, can choose to view sentiment relating only to Forms, including individual forms, Goal Comments, Diary Notes and Performance Management Issues.
The value of this is that as the system administrator you can really narrow down where the positive or negative sentiment is originating from. Is it the Goals that are causing negative sentiment? Is one particular form generating negative sentiment? Is positive sentiment being created through the use of diary notes for recognition?
Whatever the answers may be, your ability to identify the cause of sentiment will allow you to act on this information to provide a motivated and productive workforce.
Why is 'Sentiment - Diary Notes' important?
Diary Notes have been designed to help leaders record what is going on in their teams. This area of the platform gives managers simple tools to make record keeping easy, enabling them to make positive, informed decisions and avoid pitfalls. Crucially, Diary Notes can be categorised in a way that is meaningful for your business; for example, Productivity, Values, Behaviour and Recognition. The 'Sentiment - Diary Notes' analytics will reflect the sentiment around those diary notes and therefore it is important to keep in mind what you want the primary function of diary notes within your business to be.
The purpose of 'Sentiment - Diary Notes' is to provide an overview of the positive and negative sentiment analysis of Diary Notes over time. The analytics relating to the sentiment of Diary Notes can be used, primarily, in two ways.
First, as seen in the video below, it is possible to identify particularly negative sentiments that may have been reported by a minority or single employee and evaluate the cause of this.
Second, it is also possible to use this cross filter in this section of the sentiment analytics to identify potential trends and proactively resolve these; for example, if there is a sharp increase in the negative sentiment of diary notes relating to lateness within the company. By identifying the trend the business can investigate possible causes and act quickly to resolve the issue.
Importantly, although there is a dedicated area for Diary Notes in analytics the sentiment analysis provides insight into the way in which diary notes are interpreted by leaders in your business and whether this is a positive or negative experience for the employee and the business. Access to this knowledge can greatly assist those devising and implementing strategy to shape the culture of the business and the interaction of leaders with their reports.
Using the Sentiment - Diary Notes:
1. Reporting Period: Choose the period you wish to report on using the calendar at the top right of the screen.
2. Cross-filtering: You can cross filter your data to provide more specific insight into the sentiment related to Diary Notes.
- Diary Note Category: The category of the diary note where the sentiment originated. This can be a valuable tool providing insight over the sentiment generated by different diary note categories. For example, a tendency to provide negative sentiment may be led by the categories available to select from. Alternatively, positive diary note categories may drive a positive culture within the business.
- Sentiment Score Distribution: The distribution of sentiment across all the diary notes within your specified period of time.
- Business Unit / Supervisor / Pay Grade / Gender /Work Type / Tenure: Using any of these cross filters will let you investigate specific groups within your organisation to see if positive or negative sentiment is directly correlated with employees meeting the criteria identified by your use of filters. If sentiment in any of these areas is significantly more positive or negative than average these anomalies can then be investigated further.
- Row Data: The row data provides every instance of data generated by the sentiment across all diary notes over your specified time period. The strength of the row data is that each row links back to the original comment where the sentiment originated allowing you to pinpoint the specific diary note that created it.
When first adopting the platform Emily's business had hoped to use diary notes as an opportunity to positively reinforce the values of the company through recognising employees who exemplified this.
However, by using the Sentiment - Diary Notes analytics, HR have noticed a growing trend towards negative sentiment diary notes and a lack of positive sentiment being reported in relation to diary notes about recognition.
Following further investigation, it has become clear that after what has been a testing time for the business at the end of the financial year leaders had tended to add more negative diary notes relating to perceived performance issues and some instances of lateness instead of the positive diary notes regarding recognition.
Emily views the use of diary notes to provide positive recognition and drive a culture of motivated and valued employees as essential to the employee engagement of her business and therefore has now put a plan in place to reinforce the value of positive diary notes and the need for perspective when entering negative diary notes during stressful periods.