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.

Note: Uninterrupted focused session is defined as any continuous series of logs on a single task that are not less than 1 minute.

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.

Note: Uninterrupted productive session is defined as any continuous series of logs in Productive Applications or Sites that are not less than 1 minute.

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.

  • this is the same behavior in the ActivTrak app.

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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