Remote Support Staff Productivity Tracker

This dataset provides a comprehensive, day-by-day record of remote education support staff productivity, including task completion rates, system login/logout times, help desk ticket resolution, and escalation metrics. It enables educational administrators to monitor workforce efficiency, identify areas for improvement, and optimize resource allocation for remote and hybrid operations.

  • last updated 24 Jan 2026
  • by GoMask
The brief that made it

Monitor and benchmark productivity of remote support staff

Sample rows

preview · 8 of 52 rows · all 17 columns
staff_idstringdepartmentstringaverage_resolution_time_minutesfloatrolestringfull_namestringemailstringdatedatetasks_assignedintegertasks_completedintegertask_completion_ratefloatsystem_login_timedatetimesystem_logout_timedatetimetotal_active_minutesintegerhelpdesk_tickets_assignedintegerhelpdesk_tickets_resolvedintegerescalationsintegernotesstring
RS001IT Support16.4Helpdesk SpecialistSophia Martinezsophia.martinez@edusupport.org2024-06-038787.52024-06-03T08:04:202024-06-03T16:09:55420651Handled a complex ticket requiring escalation.
RS002Student Services11.5Remote Support AgentLiam Chenliam.chen@edusupport.org2024-06-0310101002024-06-03T09:01:102024-06-03T17:02:20445440Excellent completion rate.
RS003IT Support14.2System AdministratorAmira Patelamira.patel@edusupport.org2024-06-03661002024-06-03T07:55:002024-06-03T15:00:30390550Resolved all assigned tickets.
RS004Faculty Support18.9Remote Support AgentJames O'Connorjames.oconnor@edusupport.org2024-06-037457.12024-06-03T08:22:052024-06-03T15:50:10360321Training recommended on new system.
RS005Student Services12.3Helpdesk SpecialistEmma Johnsonemma.johnson@edusupport.org2024-06-03121191.72024-06-03T08:15:302024-06-03T16:30:00420770Quick ticket resolutions.
RS006IT Support22.5System AdministratorMohammed El-Sayedmohammed.elsayed@edusupport.org2024-06-03551002024-06-03T08:30:002024-06-03T15:40:00370220Resolved server issue.
RS007Faculty Support15.7Remote Support AgentLucas Kimlucas.kim@edusupport.org2024-06-039888.92024-06-03T09:10:002024-06-03T17:00:00420431Escalated 1 ticket to senior staff.
RS008Student Services10.4Helpdesk SpecialistOlivia Kingolivia.king@edusupport.org2024-06-0310101002024-06-03T08:45:002024-06-03T16:20:00410550Strong performance.

What the 52 rows show

from the 52-row sample

IT Support department stands out: mean average_resolution_time_minutes is 20.4, against 15.8 for the rest.

  • 16.7median average_resolution_time_minutes
  • 7.5median tasks_assigned
  • 7median tasks_completed
  • 87.5median task_completion_rate
  • 390median total_active_minutes
  • 3median helpdesk_tickets_assigned
Mean average_resolution_time_minutes by department52 rows
0204020.4IT Sup…17 rows15.8Studen…15 rows14.8Facult…8 rows19.0Academ…8 rows11.4Admini…4 rows
average_resolution_time_minutes52 rows, in bands of 2.5
051038107963247.52030average_resolution_time_minutes →

Median 16.7, from 8.7 to 30.0.

role52 rows · top 10 of 13 values
  1. Helpdesk Specialist11
  2. Remote Support Agent9
  3. System Administrator6
  4. Operations Analyst4
  5. Support Agent4
  6. Helpdesk Agent3
  7. Resource Specialist3
  8. Course Administrator3
  9. Technical Specialist2
  10. Online Tutor2
17 columns by typefrom the column list below
  • string 6
  • integer 6
  • float 2
  • date 1
  • datetime 2

Columns

17 columns in three groups
blueprint · 17 columns
columntypedescriptionexample
Text 6 columns
staff_idstringUnique identifier for each remote support staff memberuniqueRS001
full_namestringFull name of the support staff memberSophia Martinez
emailstringWork email address of the staff memberuniqueliam.chen@edusupport.org
departmentstringDepartment or team the staff member belongs to5 departmentsIT Support
rolestringJob title or role of the staff memberHelpdesk Specialist
notesstringAdditional notes or comments regarding the staff member's productivity on the given dateoptionalResolved server issue.
Numbers 8 columns
tasks_assignedintegerTotal number of tasks assigned to the staff member on the given date0 or more8
tasks_completedintegerNumber of tasks completed by the staff member on the given date0 or more7
task_completion_ratefloatPercentage of assigned tasks completed (0-100)0 to 10087.5
total_active_minutesintegerTotal number of minutes the staff member was active in the system on the given date0 or more420
helpdesk_tickets_assignedintegerNumber of help desk tickets assigned to the staff member on the given date0 or more6
helpdesk_tickets_resolvedintegerNumber of help desk tickets resolved by the staff member on the given date0 or more5
average_resolution_time_minutesfloatAverage time in minutes taken to resolve help desk tickets0 or more · optional16.4
escalationsintegerNumber of help desk tickets escalated to higher support levels0 or more · optional1
Dates and times 3 columns
datedateDate for which the productivity metrics are recorded2024-06-03
system_login_timedatetimeTimestamp when the staff member first logged into the system on the given date2024-06-03T08:04:20
system_logout_timedatetimeTimestamp when the staff member last logged out of the system on the given date2024-06-03T16:09:55

Use it for

  • median average…16.752 rowsmean average resoluti…20.4IT S…15.8Stud…14.8Facu…19.0Acad…

    An education dashboard

    Average_resolution_time_minutes by department and a breakdown of role. Excel, Power BI or Tableau.

  • Why do the 17 IT Support rows have a mean average_resolution_time_minutes of 20.4?

    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 staffs with full_name, email and department to fill a screen in front of a buyer.

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This dataset52 rows17 columns
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blueprint · remote-support-staff-productivity-tracker

Behind this dataset

Same schema. As many rows as you need.

These 52 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
  • Each row represents one staff member per week.
  • Includes both quantitative (tasks completed, average response time) and qualitative (self-rated engagement) metrics.
  • Anonymized staff IDs are used for privacy compliance.
  • Absenteeism is tracked as a percentage of scheduled hours.
  • Performance scores are automatically flagged if below 70% threshold.
Rows
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Exports
CSV, JSON, JSONL, Parquet, SQL, Excel, TSV, XML
Licence
yours to use, including commercially
API slug
remote-support-staff-productivity-tracker

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