The User Insights Report

Report detailing User Availability Insights data of how their work time is being spent.

User Insights Report

As part of the Insights feature, a standard report is available that summarizes you or your team's availability data. It shows:

• Planned leave data

• Non-working days

• Trend of duration of activities

• Overall sentiment

• Sentiment trend

More information about these visuals can be seen in the table below:

Report Visual	Description	Logic	Filters Applicable
Leaves	Shows the Daily/Weekly/Monthly trend of planned leave count by the user. If the logged in user is a team manager then it will also show leave count for their team members.	1. Count all rows where Work Day Type = "Leave" 2. Filter the rows for the "logged in user" and any user whose manager is "logged in user"	Date, User name
Non-working days	Shows the Daily/Weekly/Monthly trend of non working days count for the user. If the logged in user is a team manager then it will also show non working days count for their team members.	1. Count all rows where Work Day Type = "WeekOff" 2. Filter the rows for the "logged in user" and any user whose manager is "logged in user"	Date, User name
Avg. duration trend (in hrs)	Shows the average Daily/Weekly/Monthly trend of various durations entered by the user. If the logged in user is a team manager then it will also show average durations for their team members.	1. Calculate the average of DurationSpentInEnate, AdHocDuration, DowntimeDuration, FeedbackDuration, MeetingDuration, DurationSpentOutsideEnate, TrainingDuration by excluding any WeekOff and leaves 2. DurationSpentInEnate is calculated as total duration recorded in packet activities by each user on each day where activity type in (2,3) 3. Filter the rows for the "logged in user" and any user whose manager is "logged in user"	Date, User name
Overall sentiment	Shows the overall percentage share of each sentiment opted by the user. If the logged in user is a team manager then it will also show the percentage share of sentiments for their team members.	1. Calculate the count of sentiments for each sentiment type 2. Filter the rows for the "logged in user" and any user whose manager is "logged in user"	Date, User name
Sentiment trend	Shows the Daily/Weekly/Monthly trend of percentage share of sentiment entered by the user. If the logged in user is a team manager then it will also show the percentage share of sentiments for their team members.	1. Calculate the count of sentiments for each sentiment type 2. Filter the rows for the "logged in user" and any user whose manager is "logged in user"	Date, User name

Available Datasets

The Team View Report contains the following available data sets:

Table	Fields	Description
Date	Date	Day of the week in DDMM Format
Date	Week	Week of the year
Date	Month	Month of the Year in MMYY format
Date	Year	Calendar Year
Sentiment type	Sentiment	Sentiments options (Excellent, Very Good, Good, Bad, Worse). It will be none if not entered.
Insights	Avg. other hours	Avg. hours spent on ad hoc tasks
Insights	Avg. contractual break hours	Avg. hours spent on breaks
Insights	Avg. idle hours	Avg. hours spent on system downtime
Insights	Avg. feedback/1-2-1 hours	Avg. hours spent on feedback sessions
Insights	Avg. work performed within Enate	Avg. hours spent in Enate (on cases, actions or tickets)
Insights	Avg. work performed outside Enate	Avg. value added hours spent outside the Enate
Insights	Avg. meeting hours	Avg. hours spent on meetings
Insights	Avg. training hours	Avg. hours spent on training sessions
Insights	Avg. working hours	Avg. working hours
Insights	Other hours	Total hours spent on adhoc tasks
Insights	Contractual break hours	Total hours spent on breaks
Insights	Downtime hours	Total hours spent on system downtime
Insights	Feedback/1-2-1 hours	Total hours spent on feedback sessions
Insights	Work performed within Enate	Total hours spent in Enate (specifically on Cases, Actions or Tickets)
Insights	Work performed outside Enate	Total value-added hours spent outside the Enate
Insights	Leaves count	Planned leave count for the user(s)
Insights	Meeting hours	Total hours spent on meetings
Insights	Non-working days count	Non-working day count for the user(s) includes holidays weekends etc
Insights	Sentiment count	Count of sentiments entered by user(s) for a particular day
Insights	Training hours	Total hours spent on training sessions
Insights	Working hours	Total working hours
Insights	Comment	Comments added by user for the sentiment chosen
Insights	Insights date	Date when the durations/sentiments captured from the user
Users	Email address	Email address of the user(s)
Users	User name	Full name of the user(s)
WorkDay type	Work day	Type of the day (Working, Non-working Day, Leave). It will be none if nothing is chosen by the user.