Remote Work Productivity Metrics

This dataset provides detailed remote work productivity and engagement metrics for employees, including output, hours worked, and engagement scores across reporting periods. It enables HR teams to benchmark distributed workforce performance, analyze productivity trends, and optimize remote work strategies. The dataset supports granular analysis by department, role, and location.

  • last updated 21 Aug 2025
  • by GoMask
The brief that made it

Benchmarking remote employee productivity across teams and locations

Sample rows

preview · 8 of 200 rows · all 19 columns
employee_idstringdepartmentstringtasks_completedintegerfeedback_submittedbooleanmanager_idstringemployee_namestringemailstringrole_titlestringhire_datedateremote_statusstringreporting_period_startdatereporting_period_enddatehours_workedfloatmeetings_attendedintegerengagement_scorefloatproductivity_scorefloatlocation_citystringlocation_statestringlocation_countrystring
E00001Engineering24trueblankOlivia Bennettolivia.bennett@corp.comLead Software Engineer2016-02-15hybrid2024-05-012024-05-311852097.598.8AustinTXUSA
E00002Marketing18trueE00013Samuel Parksamuel.park@corp.comContent Strategist2021-07-10remote2024-05-012024-05-31152.2883.490ChicagoILUSA
E00003Support41trueblankPriya Singhpriya.singh@corp.comSupport Team Lead2018-03-09remote2024-05-012024-05-31130296.599.1BangaloreKarnatakaIndia
E00004Finance22trueE00016Lucas Riveralucas.rivera@corp.comSenior Accountant2020-11-02office2024-05-012024-05-31172.51689.193.2TorontoOntarioCanada
E00005Engineering25trueE00001Mia Webermia.weber@corp.comSoftware Engineer2022-06-20hybrid2024-05-012024-05-31168991.395BerlinBerlinGermany
E00006Support35trueE00003Fatima Zahrafatima.zahra@corp.comCustomer Service Rep2019-09-13remote2024-05-012024-05-31110.8170.295.7CasablancaCasablanca-SettatMorocco
E00007Human Resources14falseblankElijah Brookselijah.brooks@corp.comHR Manager2015-01-26office2024-05-012024-05-31183.72892.797.6LondonEnglandUK
E00008Marketing13trueE00013Sophia Kimsophia.kim@corp.comDigital Marketing Analyst2023-12-01remote2024-05-012024-05-31144.6576.586.7SeoulSeoulSouth Korea

What the 200 rows show

from the 200-row sample

Support department stands out: mean tasks_completed is 33.0, against 15.6 for the rest.

  • 65%feedback_submitted = true
  • 17median tasks_completed
  • 3remote statuses
  • 31location countries
  • 149.6median hours_worked
  • 8median meetings_attended
Mean tasks_completed by department200 rows
0204018.1Engin…54 rows33.0Suppo…43 rows17.1Finan…35 rows15.7Marke…23 rows9.2Human…23 rows13.7Sales22 rows
tasks_completed200 rows, in bands of 5
0357015542623521122602545tasks_completed →

Median 17, from 0 to 42.

manager_id169 rows with a value · 31 left blank
  1. E0000127
  2. E0000320
  3. E0301212
  4. E100039
  5. E030039
  6. E100118
  7. E000028
  8. E000167
  9. E000187
  10. E030137
19 columns by typefrom the column list below
  • string 10
  • integer 2
  • float 3
  • date 3
  • boolean 1

Columns

19 columns in four groups
blueprint · 19 columns
columntypedescriptionexample
Text 10 columns
employee_idstringUnique identifier for each employee.uniqueE00001
employee_namestringFull name of the employee.Olivia Bennett
emailstringEmployee's work email address.uniqueolivia.bennett@corp.com
departmentstringDepartment or team the employee belongs to.6 departmentsEngineering
role_titlestringEmployee's job title or role.Lead Software Engineer
manager_idstringUnique identifier of the employee's manager.optionalE00013
remote_statusstringIndicates if the employee is fully remote, hybrid, or office-based.remote · hybrid · officehybrid
location_citystringCity where the employee is primarily located.optionalAustin
location_statestringState or province where the employee is primarily located.optionalTX
location_countrystringCountry where the employee is primarily located.optionalUSA
Numbers 5 columns
tasks_completedintegerNumber of tasks completed by the employee during the reporting period.0 or more24
hours_workedfloatTotal hours worked by the employee during the reporting period.0 or more185
meetings_attendedintegerNumber of meetings attended during the reporting period.0 or more · optional20
engagement_scorefloatEmployee's engagement score (e.g., from surveys or platform analytics, 0-100 scale).0 to 100 · optional97.5
productivity_scorefloatCalculated productivity score for the reporting period (0-100 scale).0 to 10098.8
Dates and times 3 columns
hire_datedateDate when the employee was hired.2016-02-15
reporting_period_startdateStart date of the productivity reporting period.2024-05-01
reporting_period_enddateEnd date of the productivity reporting period.2024-05-31
True or false 1 column
feedback_submittedbooleanIndicates if the employee submitted feedback during the reporting period.optionaltrue

Use it for

  • feedback submi…65%129 of 200 rowsmean tasks completed …18.1Engi…33.0Supp…17.1Fina…15.7Mark…

    A human resources dashboard

    The feedback_submitted rate, tasks_completed by department and a breakdown of manager_id. Excel, Power BI or Tableau.

  • Why do the 43 Support rows have a mean tasks_completed of 33.0?

    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 employees with employee_name, email and department to fill a screen in front of a buyer.

Not quite right?

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This dataset200 rows19 columns
Yours1,000 rows19 columnslocation_city: UK only

blueprint · remote-work-productivity-metrics

Behind this dataset

Same schema. As many rows as you need.

These 200 rows came out of a blueprint — 19 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
  • Employee roles distributed across departments
  • Weekly task completion rates tracked
  • Engagement scores from virtual meetings
  • Includes both full-time and contract workers
Rows
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Exports
CSV, JSON, JSONL, Parquet, SQL, Excel, TSV, XML
Licence
yours to use, including commercially
API slug
remote-work-productivity-metrics

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