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 VisualDescriptionLogicFilters 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:

TableFieldsDescription

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.

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