January 21, 2020
Here’s What You Need to Know About Sentiment Analysis For Project Managers
If someone had an opinion about how you looked the other night at a pool party, would you want to know? It depends on who is asking right? That’s a “lose” way of relating to the concept of Sentiment Analysis and Project Management in the modern world. Read on…
How Sentiment Analysis Affects Various Workplaces?
Things are way too different at a workspace when it’s compared to your favorite pool party. Of course, there are plenty of people around, but they are all working together for something. Say you suggest a killer solution to a recent pipe-plan for a project you’ve been working on. Surely you’d want to know what everybody on your team has to say about it.
Even if your solution was super awesome, you find out that only one member has ‘Fantastic’ to say about it. Others were either not very supportive, or their feedback does not coincide with your idea – or anything else for that matter.
While others have only so much as ‘Good’, ‘Sounds good’ to say about it, that leaves you wondering – ‘what’s the overall vote of the entire team?’
To distinguish the overall feedback (emotion) among corporate communications, businesses such as (Walmart & Target) everywhere are employing a technology that can recognize the sentiment of employees and customers combined.
This technology is called Sentiment Analysis.
What does Sentiment analysis do? It gives you a general idea about how positive, negative or neutral the incoming feedback is.
The Sentiment analysis tool is the intelligence that not only companies could make viable use out of but project management platforms as well. This is why we introduced the feature of the machine learning algorithm to nTask in the form of Sentiment analysis.
After all, the best task management software work to understand the sentiments of their users.
nTask Sentiment Analysis is
- Easy on the eyes
- A built-in feature
- Headache-free in terms of integrations
Sentiment Analysis is a Big Deal at nTask!
Since emotions are a precious asset to the productivity of any teamwork, nTask supplies a range of 7 different emotions.
So teams can arrive at approximate evaluations than faint, unclear conclusions.
Because it’s not always the case that the team is either simply disappointed or determined. There are always one or two bad apples that take the emotional barometer to extremes.
For such cases, nTask sentiment analysis is designed to read the language text with a subjective approach.
Let’s suppose the Team Lead is furious with the outlook of the Project’s agenda list. And three more members chip in with discouraging comments.
An hour later, the poor guy responsible for the list finally makes corrections and it’s all good now.
You come in next and leave positive feedback.
The project now has 4 grumpy comments Vs a single thumbs up.
Does the average emotion on the sentiment analysis still sum up to a negative tone? That won’t be fair! Don’t’ worry, in nTask the sentiment analysis is programmed with a set of machine learning techniques and NLP to avoid exactly that.
And that’s not all. Let’s look at why businesses and workplaces – small & large – actually feel the need for a Sentiment Analysis tool?
Why Sentiment Analysis?
Gone are the days when employers solely valued intelligence over everything else in a candidate. World Economic Forum’s Future of Jobs Report revealed that in 2020, emotional intelligence will top the 10 most wanted skills in an employee.
“Unmet emotional needs cause the majority of problems at work.” ~EQI.org
Employees with high EI (or high emotional quotient) are:
- Good listeners
- Good at handling stress
- Good at welcoming constructive criticism
While EQ is important, having a high emotional quotient alone doesn’t guarantee employee productivity. You need to have a happy employee as well.
Happy is the sentiment you want in your employees to generate successful results.
Happy employees outweigh unhappy employees in productive performances. Period.
With a sentiment analysis tool, businesses can evaluate the underbelly of each workspace under every given domain. How do the teams feel about the status of a project? Does everyone on the team share the same level of enthusiasm? Are the co-workers working in harmony on a given assignment?
The more aggressive the feedback = the more unhappy or stressed the employees are.
And unhappy employees can be heavy liabilities to a corporation.
According to research from The American Institute of Stress, stressed employees inevitably lead to a 50% involuntary turnover. Yikes!
Putting nTask Sentiment Analysis to Use
Sentiment Analysis can be valuable to nTask users (particularly Project Managers) for:
1. Performance Management
Coming back to emotional quotient – managers and executives can primarily influence the emotional intelligence of their subordinates if they practice it themselves.
And to ensure that, your project manager needs to be in the loop of the emotional output of his/her team members.
Project managers can utilize the information from the sentiment analysis to evaluate which work campaigns are welcomed more by the majority.
Or which task methodology invites more interest from the team members.
Once aware of collective sentiments on a given subject, project managers can remedy strategies that mesh well with everyone. And avoid any red flags that otherwise impair team performance.
Project managers can scheme bonuses and reward points to motivate members that are less enthusiastic about the project or task.
Some of the best-known CEOs take extra care of emotional intelligence by extending it to their employees. Executive chairman of Starbucks, Howard Schultz, makes continuous endeavors to provide hefty healthcare benefits to Starbucks employees as a gesture of empathy.
2. Conflict Management
Where there is diversity, conflict is likely to show up.
It doesn’t always have to be unhealthy though. (If monitored that is!).
More often than not, a lack of agreement between team members is why projects fail to meet their deadlines. Unless someone superior butts in.
Project managers can
- Check when discussions are heating up.
- Step in to minimize the fires
- Suggest alternatives to save time
- Curb the project plan to avoid the conflict in the first place
This is only the first step of machine learning intelligence on an otherwise colossal canvas of free task management yet to come your way.
We aim to establish nTask with a self-sustaining and fully functioning AI to make your projects, meetings, and teamwork smarter than ever.
Has sentiment analysis added productivity to your teamwork? Let us know in the comments below. Alternatively, if you haven’t applied that concept at your workspace, it might be the right time to test the waters. See, if you can come up with a plan that aims to help others. Good luck.
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