A successful project is likely to be a collaborative effort of a large number of people working as a team. Unhappy teams generally don’t achieve the results they are capable of, perhaps because of lack of motivation or uncomfortable team dynamics causing friction. If you are a direct project manager, you may already be aware of and are addressing these issues. However, if you are overseeing many projects, you are less likely to be personally aware of any problems across all project teams. When projects are managed by Sharktower, data can reveal insights on team sentiment.




With our ‘Team Sentiment’ chart, available on the project overview page, you can view your project’s sentiment trend over a snapshot of the last 8 weeks. The score represents the team’s expressed outlook regarding the project.


So, how is it calculated?

Each day, team members create work items such as activities, stories, tasks, decisions in Sharktower. The activity on such items already yields information about how well the project is progressing, as captured by our project health score. But how the team members interact with each other is also important. The assignment of work items and comments on each others’ tasks allow us to build a network of interactions, from which we can deduce information about the dynamics of the team. Text within the comments of work items can also be revealing. While the vast majority of comments are quite mundane, every so often there may be an entry that indicates how a team member is feeling, e.g. ‘lack of buy-in to the project across the business may limit adoption or understanding of benefits’. That sounds a little negative, doesn’t it?  We use a combination of graph theory and natural language processing to create a team sentiment score that reflects team morale. The value ranges from -100 to 100, where -100 is considered to be the most negative and 100 the most positive. 


More detail

Click any Team Sentiment tile to reveal an 'explainer' - our guide to how the score is calculated and suggested actions.



Does this seem right?

By clicking the icon to the left of 'Does this seem right' you have the opportunity to feed back on the accuracy of the rating. The more feedback, the more accurate these ratings will become.