Remote Meeting Duration Analytics

This dataset provides detailed analytics on remote meeting durations, frequencies, and participation across distributed teams, including scheduling, recurrence, and platform usage. It enables organizations to optimize calendars, analyze workflows, and improve productivity by understanding meeting patterns and engagement. Ideal for productivity analysis, resource planning, and workflow optimization in remote work environments.

  • last updated 5 Sept 2025
  • by GoMask
The brief that made it

Productivity and workflow analysis for distributed teams

Sample rows

preview · 8 of 200 rows · all 17 columns
meeting_idstringrecurrence_patternstringduration_minutesintegeris_recurringbooleanteam_idstringorganizer_idstringorganizer_namestringmeeting_titlestringmeeting_typestringstart_datetimedatetimeend_datetimedatetimeparticipant_countintegerteam_namestringmeeting_platformstringmeeting_statusstringparticipant_idsstringnotesstring
M-10001daily15trueT-5001U-1031Angela RiversDaily Standup: Sprint 14 Progressstandup2024-04-01T09:00:00Z2024-04-01T09:15:00Z7Frontend SquadZoomcompletedU-1031,U-1055,U-1062,U-1077,U-1083,U-1091,U-1100Quick update from all team members for sprint progress.
M-10002blank45falseT-5002U-1042Samuel LeeWeekly Planning: Backend Featuresplanning2024-04-02T14:00:00Z2024-04-02T14:45:00Z6Backend CrewTeamscompletedU-1042,U-1066,U-1070,U-1084,U-1092,U-1101Discussed priorities and user stories for next sprint.
M-10003monthly90trueT-5003U-1055Maria SantosMonthly All-Hands: Q2 Kickoffall-hands2024-04-03T16:00:00Z2024-04-03T17:30:00Z62Company LeadershipWebexcompletedU-1055,U-1031,U-1042,U-1062,U-1077,U-1083,U-1091,U-1100,U-1066,U-1070,U-1084,U-1092,U-1101,U-1103,U-1104,U-1105,U-1106,U-1107,U-1108,U-1109,U-1110,U-1111,U-1112,U-1113,U-1114,U-1115,U-1116,U-1117,U-1118,U-1119,U-1120,U-1121,U-1122,U-1123,U-1124,U-1125,U-1126,U-1127,U-1128,U-1129,U-1130,U-1131,U-1132,U-1133,U-1134,U-1135,U-1136,U-1137,U-1138,U-1139,U-1140,U-1141,U-1142,U-1143,U-1144,U-1145,U-1146,U-1147,U-1148,U-1149Covered quarterly goals and department updates for all staff.
M-10004blank45falseT-5001U-1062Kevin TaylorSprint Review: Deliverables and Feedbackreview2024-04-04T11:00:00Z2024-04-04T11:45:00Z5Frontend SquadGoogle MeetcompletedU-1062,U-1077,U-1083,U-1091,U-1100Reviewed completed sprint tasks and gathered feedback.
M-10005weekly30trueT-5004U-1077Lisa Brown1:1: Career Development Chat1:12024-04-05T13:30:00Z2024-04-05T14:00:00Z2Agile TigersSkypescheduledU-1077,U-1083Discussing performance and development goals for next quarter.
M-10006blank16falseT-5005U-1083David KimDemo Session: New Feature Showcaseother2024-04-06T15:00:00Z2024-04-06T15:16:00Z3Quality AllianceOthercompletedU-1083,U-1091,U-1100Showcased new feature to QA and collected initial feedback.
M-10007daily15trueT-5006U-1091Rachel EvansCustomer Support Standupstandup2024-04-07T08:30:00Z2024-04-07T08:45:00Z6Support GurusTeamscompletedU-1091,U-1100,U-1101,U-1103,U-1104,U-1105Reviewed open tickets and assigned priorities for the day.
M-10008blank45falseT-5007U-1100Michael ChenProject Planning: Release Scheduleplanning2024-04-08T10:00:00Z2024-04-08T10:45:00Z8Release MastersGoogle MeetcompletedU-1100,U-1101,U-1103,U-1104,U-1105,U-1106,U-1107,U-1108Established key dates for the next product release.

What the 200 rows show

from the 200-row sample

Monthly (recurrence pattern) stands out: mean duration_minutes is 86.5, against 20.3 for the rest.

  • 44%is_recurring = true
  • 30median duration_minutes
  • 2meeting statuses
  • 6meeting types
  • 6meeting platforms
  • 47team names
Mean duration_minutes by recurrence_pattern88 rows
05010015.0daily34 rows26.8weekly28 rows86.5monthly26 rows
duration_minutes200 rows, in bands of 20
0357067342949165060120duration_minutes →

Median 30, from 1 to 120.

team_id200 rows · top 10 of 19 values
  1. T-501418
  2. T-501518
  3. T-501817
  4. T-500116
  5. T-501215
  6. T-501715
  7. T-501613
  8. T-500812
  9. T-500210
  10. T-50109
17 columns by typefrom the column list below
  • string 12
  • integer 2
  • datetime 2
  • boolean 1

Columns

17 columns in four groups
blueprint · 17 columns
columntypedescriptionexample
Text 12 columns
meeting_idstringUnique identifier for each remote meetinguniqueM-10001
organizer_idstringUnique identifier for the meeting organizer (user or employee)U-1031
organizer_namestringFull name of the meeting organizerAngela Rivers
meeting_titlestringTitle or subject of the meetingCustomer Support Standup
meeting_typestringType of meeting (e.g., standup, planning, review, 1:1, all-hands)6 valuesstandup
participant_idsstringComma-separated list of unique participant identifiersU-1077,U-1083
team_idstringUnique identifier for the distributed team associated with the meetingT-5001
team_namestringName of the distributed teamFrontend Squad
meeting_platformstringPlatform used for the remote meeting (e.g., Zoom, Teams, Google Meet)6 valuesZoom
recurrence_patternstringPattern for recurring meetings (e.g., daily, weekly, monthly); blank if not recurringdaily · weekly · monthly · · optionaldaily
meeting_statusstringStatus of the meeting (scheduled, completed, canceled)scheduled · completed · canceledcompleted
notesstringOptional notes or comments about the meetingoptionalQuick update from all tea…
Numbers 2 columns
duration_minutesintegerDuration of the meeting in minutes1 or more15
participant_countintegerNumber of participants in the meeting1 or more7
Dates and times 2 columns
start_datetimedatetimeScheduled start date and time of the meeting2024-04-01T09:00:00Z
end_datetimedatetimeScheduled end date and time of the meeting2024-04-01T09:15:00Z
True or false 1 column
is_recurringbooleanIndicates if the meeting is part of a recurring seriestrue

Use it for

  • is recurring44%88 of 200 rowsmean duration minutes…15.0daily26.8weekly86.5monthly

    A technology dashboard

    The is_recurring rate, duration_minutes by recurrence_pattern and a breakdown of team_id. Excel, Power BI or Tableau.

  • Why do the 26 monthly rows have a mean duration_minutes of 86.5?

    A root-cause class exercise

    Hand out the rows and one question. The answer is in the data, not in the brief.

  • A software demo

    Believable meetings with organizer_id, organizer_name and meeting_title to fill a screen in front of a buyer.

Not quite right?

Make it yours.

Same 17 columns, your size and your rules. See 20 rows before you pay.

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This dataset200 rows17 columns
Yours1,000 rows17 columns

blueprint · remote-meeting-duration-analytics

Behind this dataset

Same schema. As many rows as you need.

These 200 rows came out of a blueprint — 17 columns with generation rules behind each one. Open it in Data Factory to retune a column, add your own, wire in foreign keys, and run it at the size you actually need.

Rules it was built with
  • Log meeting start/end times
  • Include number of attendees
  • Flag meetings over 90 minutes
  • Exclude personal data
  • Group by team
Rows
Open the blueprint in Data Factory

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Exports
CSV, JSON, JSONL, Parquet, SQL, Excel, TSV, XML
Licence
yours to use, including commercially
API slug
remote-meeting-duration-analytics

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