Team optimization based on data

As an organization, you want to use the full potential of your employees. It’s not a good idea to place employees in a group and expect everything to work. Without using data and the right tools, chaos will ensue, and this won’t help the organization and the team. The right software tools and a data-driven approach are necessary to ensure success.

What is a data-driven work?

Data-driven work is the ability to manage on the basis of raw facts and raw data. The goal is to make decisions based on this data. No longer (only) based on a hunch, an opinion or intuition or the so-called gut feeling. Which are often rooted in prejudices, biases and preferences. This applies to the entire organization. Data-driven work fits in a data-driven organization. All teams and employees work with data to get more insight, knowledge and make more informed decisions.

Why work data-driven?

Now that so much data is available, there are more opportunities to work data driven. Data about people, products, processes can be collected. But collecting data collection is one thing, analysis another. The data has to be converted into information and knowledge to make informed business decisions. True team-centric and agile organizations do this very well.

Working with data in teams

The use data depends on the purpose and context. By making smart links between different databases, teams get new insights and cooperation is better. By incorporating retrospectives into their processes, teams learn and adapt. This data gets incorporated again and again and the teams get in a constant flow of self-improvement. This results in a super agile teams and benefits the organization tremendously.

What tools to use?

The use the available data effectively in an organization it’s important that teams use the right tools. A very important tool to use is a remote retrospectives tool. Working with remote teams requires remote retrospective tools. To learn from data, it’s important to constantly learn from previous successes and mistakes. A good remote retrospective tool is the one from It has all the necessary bells and whistles a retrospective tool need but has one extra advantage. It also has the ability to track emotion trends. This is a very important dataset. In addition to all the data emotion trends can analyse team performance in a more humane way. This way teams and organizations can make even better business decisions.