ActivConnect - Professional/Premium Data Glossary
Below is an alphabetized list of the different data fields in ActivConnect Professional/Premium along with their data type and a short description for each.
daily_user_summary
Field |
Type |
Description |
A: | ||
accountid |
INTEGER |
ActivTrak account number |
active_duration_seconds |
INTEGER |
Amount of time reported by end user's computer (screen time) excluding Passive Time. learn more about passive time settings here. |
activity_week |
DATE |
First day of week |
attention_switch_count |
INTEGER |
Number of switches made by a user between more than the maximum threshold of distinct applications / sites or screens within a minute |
attention_switch_duration_seconds |
INTEGER |
An Attention Shift represents the number of occurrences in which a user exceeds the maximum threshold set for switching between productive applications / sites or screens within a minute Note:A switch from a productive to unproductive activity will also count as an attention shift in the first occurrence This threshold is configurable in the Analytics > Settings page. Example based on distinct Application / Site: (switch between Email to PowerPoint to Slack within one minute). Example based on distinct Screens: (open 4+ unique powerpoint presentations or 5+ unique word documents within 1 minute) Default thresholds: Application / Sites = 2 Screen Views = 4 |
B: | ||
break_count |
INTEGER |
This number reveals the number of breaks (off screen time) a user is taking throughout the day. This is calculated by counting the amount of times users computer is inactive for more than 5 minutes. |
break_duration_seconds |
INTEGER |
This number reveals the break time (off screen time) in seconds throughout the day. |
C: |
||
collaboration_activity_count |
INTEGER |
Number of collaboration activity occurrences per user per day. |
collaboration_duration_seconds |
INTEGER |
Collaboration is considered the working time in which an employee is engaged with others to coach, assign, and align and brainstorm, socialize, and problem solve. These activities are usually through "Chat & Messaging" or "Meeting Software". |
D: |
||
day_of_week |
STRING |
Sunday - Saturday |
day_type |
STRING |
Weekend / Weekday |
F: | ||
first_activity_datetime |
DATETIME |
Start of Day per user based on the first reported computer activity |
first_activity_minutes_in_day |
INTEGER |
Start of Day in INTEGER format per user based on the first reported computer activity. |
focus_duration_seconds |
INTEGER |
Working time in which an employee is engaged and working on a single task for an extended period of time, without disruption or completing multi-tasking activities (attention shifts) |
focused_session_count |
INTEGER |
Count of uninterrupted focused time sessions. |
focused_session_duration_seconds |
INTEGER |
Focused Session Duration Seconds reflects the total amount of time employees operate without distractions or multitasking. This is calculated by This is calculated by adding up the time of each focused session. |
L: | ||
last_activity_datetime |
DATETIME |
End of Day per user based on the last reported computer activity |
last_activity_minutes_in_day |
INTEGER |
Start of Day in INTEGER format per user based on the first reported computer activity. |
local_date |
DATE |
Date only with Time Zone conversion |
M: | ||
multitasking_activity_count |
INTEGER |
Number of occurrences per user per day involved in multitasking activities |
multitasking_duration_seconds |
INTEGER |
Multi-tasking activity performed within productive applications, consists of general administrative business tasks while an attention shift event is happening. Note: Each Attention Shift event captures the time of these activities for the next 3 minutes (attention residue), capping the last activity to 60 seconds max. Excludes activities classified as "Chat & Messaging" or "Meeting Software". See Attention Shifts for more details. |
N: | ||
non_business_activity_count |
INTEGER |
Number of occurrences per user per day of non-business (unproductive and undefined) activities. |
non_business_activity_duration_seconds |
INTEGER |
Non-Business Hours/Day reflects the average hours a day in which an employee is engaging in non-productive or undefined activities learn more about activity classification here. |
P: | ||
productive_active_duration_seconds |
INTEGER |
Amount of time in Productive classified applications or sites excluding Passive Time |
productive_activity_count |
INTEGER |
Number of productive activity occurrences per user per day |
productive_passive_duration_seconds |
INTEGER |
Amount of time in Productive classified applications or sites excluding Active Time |
productive_session_count |
INTEGER |
Count of uninterrupted productive time sessions. |
productive_session_duration_seconds |
INTEGER |
Productivity Sessions Duration Seconds reflects the total amount of time users operate without unproductive disruption. This is calculated by adding up the time of each productive session. |
T: | ||
total_activity_count |
INTEGER |
Total activity count per user per day across all productivity classifications |
total_duration_seconds |
INTEGER |
Amount of time reported by end user's computer (Active and Passive) (screen time) |
U: | ||
undefined_active_duration_seconds |
INTEGER |
Undefined is used for applications or sites that haven't been classified as Productive or Unproductive. This field displays the amount of time in unclassified activities excluding Passive Time |
undefined_activity_count |
INTEGER |
Number of undefined activity occurrences per user per day |
undefined_passive_duration_seconds |
INTEGER |
Undefined is used for applications or sites that haven't been classified as Productive or Unproductive. This field displays the amount of time in unclassified activities excluding Passive Time |
unproductive_activity_count |
INTEGER |
Number of unproductive activity occurrences per user per day |
unproductive_active_duration_seconds |
INTEGER |
Amount of time in Unproductive classified applications or sites excluding Active Time |
unproductive_passive_duration_seconds |
INTEGER |
Amount of time in Unproductive classified applications or sites excluding Passive Time |
user_focus_goal |
FLOAT |
Goal set for focused hours per day. Configurable by team in Benchmarks and Goals page Default value: 3.0 hrs |
user_id |
INTEGER |
ActivTrak User ID |
user_name |
STRING |
If a user alias was defined in the ActivTrak app this field will populate the user alias record otherwise the user record will be shown.
Learn more about user alias here |
user_productivity_goal |
FLOAT |
Goal set for productive hours per day. Configurable by team in Benchmarks and Goals page Default value: 6.0 hrs |
daily_application_summary
Field |
Type |
Description |
A: | ||
accountid |
INTEGER |
ActivTrak account number |
activity_week |
DATE |
First day of week |
activity_type |
STRING |
There are three main activity type classifications Application, Site and Search |
application |
STRING |
Cleaned executable name |
application_or_site |
STRING |
Clean names of Application or Site objects. |
B: | ||
browser_site |
STRING |
Applications with site or URL content e.g Google Chrome (slack.com) |
C: | ||
category |
STRING |
Activity category specified in the ActivTrak application. - e.g. Business Tools, Social Media. Learn more about activity categories here |
computer_id |
STRING |
Computer ID |
D: | ||
day_of_week |
STRING |
Sunday - Saturday |
day_type |
STRING |
Weekend / Weekday |
duration_seconds |
FLOAT |
Activity duration in seconds |
E: | ||
executable |
STRING |
Name of the app running, usually in its raw format. E.g. Slack.exe. |
H: | ||
host |
STRING |
Extracted domain or domain with subdomain URL format. |
L: | ||
local_date |
DATE |
Date only with Time Zone conversion |
P: | ||
passive_type_id |
STRING |
Unique identified for Passive activities. NULL represents Active time |
productivity |
STRING |
Productive / Unproductive / Undefined Classification |
U: | ||
user_id |
INTEGER |
ActivTrak User ID |
user_name |
STRING |
If a user alias was defined in the ActivTrak app this field will populate the user alias record otherwise the user record will be shown. - this is the same behavior in the ActivTrak app. Learn more about user alias here |
W: | ||
website |
STRING |
There are three main activity type classifications – application, site and search. |
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