Tracking Interaction sentiment allows you to easily measure how your stakeholders are responding to engagement communications and activities, and their sentiments towards the project more broadly. Measuring sentiment over time allows you to identify if engagement activities are successfully shifting stakeholder sentiment in the right direction.
Simply Stakeholders allows you to customise your approach to applying sentiment to your interactions. This means you can apply automation or undertake manual sentiment scoring; you can choose to apply sentiment annotation to all, or to a sub-set of critical interactions; and you can set up Automated Workflows to trigger actions to low or poor sentiment.
Interaction Sentiment
There are 3 types of Sentiment that can be applied to an Interaction and reported on via the Dashboard and Custom Reporting.
Annotation Sentiment - which influences the Relationship Health Score of Stakeholders linked to the annotation Tags
AI generated Sentiment - your Admin can choose to toggle on to auto-apply to all incoming Interactions
User Sentiment - manually applied score between 1-100 to the overall interaction
Annotation Sentiment
You can apply Annotation Sentiments to an Interaction or to highlighted segments of text with the Annotations menu. This is a little more involved so we will cover that in more detail here - Annotation Tags.
Screenshot highlighting the Annotation Menu on the Interactions Module Meeting Tab.
Generate / re-generate AI Sentiment or Apply User Rating
You can generate AI Sentiment automatically for incoming interactions (admin toggle) or manually apply a User Rating.
You can manually generate the AI Sentiment Score or re-generate the Score, e.g. after updates to a message, by clicking on the Generate button in the Edit Sentiment Score pop-up window:
Screenshot of the Edit Sentiment Score pop-up showing the AI Sentiment Score
Generate button outlined and User Rating field
Click Save.
For AI Generated Sentiment scores will be assessed by the Azure AI-Language-Service, assigning a score and a sentiment based on the predefined score range for each sentiment level:
Negative (0 - 20)
Somewhat Negative (21 - 40)
Neutral (41 - 60)
Somewhat Positive (61 - 80)
Positive (81 - 100)
NOTE: Incoming Interactions will have an AI Sentiment auto-generated unless it has been turned off (Administrator toggle)
User Rating
From the same Sentiment menu, you can also apply a subjective User Rating of the sentiment.
To apply User Rating of an Interaction sentiment:
Input the User rating - where 1 is the most negative and 100 is the most positive, you can click the up/down arrows to change a previously entered score or click in the field and type in a number:
Click outside of the pop-up window to Save.
Notes
By following the steps above, you will be able to apply to view your AI generated, user and annotations sentiment scores applied to your Interaction.
Screenshot of the Sentiment card showing the three sentiment scores
What is next? Find out how to Report on Sentiment in our Reporting Collection here.
For more help
For more information, to arrange a demo or for product training please contact your Customer Success Account Executive or email [email protected].