Organizations must recognize that the value and potential of collaboration data goes beyond assessing and optimizing application performance. By analyzing collaboration data, organizations can glean insights to drive improved collaboration, productivity, and wellness, and improve the overall employee experience.
Companies at the forefront of employee experience believe collaboration behavior data from applications like team chat and video conferencing is essential to understanding their employees. More than half of the 499 companies Metrigy surveyed in its global employee experience survey use collaborative behavioral data as part of their employee experience efforts. Using this data, companies can see how often an employee is interacting digitally throughout her day, in what ways, and with whom.
Companies can share collaboration behavior data for each employee individually, roll up data for collective viewing by team leaders and other managers, or both. Many companies rely on collaboration behavior data collected through surveys and polls, as well as engagement data that shows how much employees are digitally engaged and engaged with the company and colleagues through corporate social networks and employee portals. We have found it to be an excellent complement to the employee sentiment data provided.
Unified Communications (UC) industry stakeholders discussed the hidden value of collaboration data during a session at the Enterprise Connect 2024 conference in Orlando, Florida. An industry expert shared his three top tips for making the most of collaboration data.
1. Increase team engagement and productivity.
Collaboration behavioral data allows team managers to assess mindfulness during meetings. For example, do you see a spike in email or team chat activity during meetings? If so, your team members aren't paying full attention during meetings or while sending emails or messages. Are team members aware of this negative behavior and acting on it as well? This is an opportunity to discuss meeting attendance and the use of meeting assistants such as note-taking and summarization.
Additionally, by visualizing meeting patterns, team managers can see how much time is being spent on one-on-one meetings and how team messaging aligns with work flow and after-hours commitments. Microsoft's principal product manager, Ryan Nadel, said: In an Enterprise Connect session. Team managers need to address collaboration issues and measure the impact on their own as well as their team's productivity.
2. Establish the right meeting culture
Companies can learn a lot by examining meeting data, including employee behavior. For example, companies can track timeliness of meeting participation and time spent actively and passively participating. Several questions may arise from this data. For example, does a lack of timeliness result in a delayed start or a delayed end? Also, if a meeting starts late and lasts a long time, the meeting becomes less effective for inactive participants and other participants. How many minutes does he take per day?
Jonathan Sass, vice president of product and marketing at Vyopta, says having collaboration behavior data gives company leaders a benchmark to set policies and establish cultural norms around meetings. states.
For example, the human resources department might start a campaign about the importance of showing up to meetings on time, and executives might take the lead. Alternatively, company leaders might set a meeting policy where only important personnel receive invitations to attend, while other interested or potentially affected personnel receive meeting notes and summaries. There is also. Leaders need to let their employees know it's okay to miss meetings where they'll be passive rather than actively participating.
By relying on collaboration behavior data for these insights, one Vyopta customer was able to give back an average of 22 minutes of meeting time to employees each week, according to Sass. He added that if organizations examine the data of thousands of employees annually, productivity gains can increase rapidly.
3. Leverage personalized data feeds
Microsoft Teams users have a personalized, scrollable feed of channel content, making it easy to see user posts on a particular topic or within a particular channel. Microsoft is able to provide this “personalized relevancy ranking” thanks to data collected from the Teams collaboration and productivity ecosystem, he said. Employees must embrace this personalized product experience created using behavioral data. Enabling personalized data feeds provides employees with streamlined information discovery, ultimately increasing productivity.
Beth Schultz is Vice President of Research and Principal Analyst at Metrigy. Her research focuses on unified communications, collaboration, and digital customer experiences.