Weekly User Dashboard

The Weekly User Dashboard is a helpful way to gain further insight into an individual's work habits. With a view across all indicator types, leverage this dashboard to develop a holistic understanding of what may be enabling or hindering productivity.


A. Weekly Summary

  • Key Numbers: These four numbers showcase the average productivity and focus hours (over the last 7 days)  for the selected employee. Compare these numbers to the set goal for additional reference.
  • Productive and Focused Hours / Day Trend (Last 12 Weeks): Understand productive and focus hour trends over a 12-week period. It is important to take into consideration external events, internal business changes, and personal lives when making sense of these trends. 
  • Weekly Efficiency & Focus - Last 7 Days: The Total Time bar is an indicator of the average amount of time an employee spent online. The Productive Time bar represents the average time spent in company-designated productive applications. The Focused Time bar reveals the average time spent without attention shifts or interruptions. Focused time is generally associated with more productive output gains.
  • Top Categories by Usage - Last 7 Days:  View the top 10 categories where an employee spends his or her time. Based on an employee’s function and daily responsibilities, category allocation will vary.



B. Productivity & Focus Improvements

  • Productive vs. Non Business: Comparing productive time to non-business activities is helpful when evaluating how an employee spends his or her daily time on average over the defined time (adjusting the Activity Date can show how the composition of time changes over time).
  • Productivity Sessions reveal the average duration of time spent in productive applications before interruption
  • Non-Business Activities - Last 7 Days: For additional detail, review the Top Non-Business Apps/Sites Chart to understand the applications/sites that pull the employee away from productive activities. 
  • Focused vs. Attention Shifts consists of two types of time: 1) Focused and 2) Attention Shifting. Breakdowns will vary by function and role type. Focus time is typically high in roles that require high creativity, problem solving, and innovation. Attention shifting is common for people managers working across multiple activities at a given time.
  • Top Apps/Sites in Attention Shifts - Last 7 Days: For additional detail, review the Top Apps/Sites Involved in Attention Shifts to understand the applications/sites that an employee switches among.



C. Workload Balance

  • Total Time reflects the total number of hours worked over the last 7 days.
  • Average Active Hours / Day reflects an employee’s average hours each day from when they first log on to when they log off. While often mistaken, this is not the average productive hours/day. This number is helpful to understand the day duration for an employee despite productive/unproductive composition of time
  • Average days with off hours: This metric helps us understand how many days within the selected Activity Duration team members worked outside the Active Hours/Day threshold
  • Off Hours reflect the total number of off hours an employee has worked over the last 7 days 
  • Breaks / Day: Breaks are critical for managing workload balance and burnout risk. This number reveals the average number of breaks team members are taking. 
  • Avg. Mins / Break: The average duration of works gives us further insight into whether team members are truly taking the opportunity to step away from their work. 



D. Technology Usage

  • Top Apps/Sites - Last 7 Days: Understanding an employee’s top applications/sites provides useful intel when gauging whether tools are being fully leveraged. Additional training may be necessary for an employee who isn’t fully adopting useful technologies for their role.
  • Apps/Sites Trending Up/Down - Last 7 Days: Within categories of work, dig deeper to understand applications and sites trending up and down over the course of time. Drastic upticks in site or application usage may reflect deep project emphasis or, conversely, project distractions or disengagement when compared to the previous week. 

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