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.
Sample rows
preview · 8 of 200 rows · all 19 columns| employee_idstring | departmentstring | tasks_completedinteger | feedback_submittedboolean | manager_idstring | employee_namestring | emailstring | role_titlestring | hire_datedate | remote_statusstring | reporting_period_startdate | reporting_period_enddate | hours_workedfloat | meetings_attendedinteger | engagement_scorefloat | productivity_scorefloat | location_citystring | location_statestring | location_countrystring |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| E00001 | Engineering | 24 | true | blank | Olivia Bennett | olivia.bennett@ | Lead Software Engineer | 2016-02-15 | hybrid | 2024-05-01 | 2024-05-31 | 185 | 20 | 97.5 | 98.8 | Austin | TX | USA |
| E00002 | Marketing | 18 | true | E00013 | Samuel Park | samuel.park@ | Content Strategist | 2021-07-10 | remote | 2024-05-01 | 2024-05-31 | 152.2 | 8 | 83.4 | 90 | Chicago | IL | USA |
| E00003 | Support | 41 | true | blank | Priya Singh | priya.singh@ | Support Team Lead | 2018-03-09 | remote | 2024-05-01 | 2024-05-31 | 130 | 2 | 96.5 | 99.1 | Bangalore | Karnataka | India |
| E00004 | Finance | 22 | true | E00016 | Lucas Rivera | lucas.rivera@ | Senior Accountant | 2020-11-02 | office | 2024-05-01 | 2024-05-31 | 172.5 | 16 | 89.1 | 93.2 | Toronto | Ontario | Canada |
| E00005 | Engineering | 25 | true | E00001 | Mia Weber | mia.weber@ | Software Engineer | 2022-06-20 | hybrid | 2024-05-01 | 2024-05-31 | 168 | 9 | 91.3 | 95 | Berlin | Berlin | Germany |
| E00006 | Support | 35 | true | E00003 | Fatima Zahra | fatima.zahra@ | Customer Service Rep | 2019-09-13 | remote | 2024-05-01 | 2024-05-31 | 110.8 | 1 | 70.2 | 95.7 | Casablanca | Casablanca-Settat | Morocco |
| E00007 | Human Resources | 14 | false | blank | Elijah Brooks | elijah.brooks@ | HR Manager | 2015-01-26 | office | 2024-05-01 | 2024-05-31 | 183.7 | 28 | 92.7 | 97.6 | London | England | UK |
| E00008 | Marketing | 13 | true | E00013 | Sophia Kim | sophia.kim@ | Digital Marketing Analyst | 2023-12-01 | remote | 2024-05-01 | 2024-05-31 | 144.6 | 5 | 76.5 | 86.7 | Seoul | Seoul | South Korea |
| E00009 | Finance | 17 | true | E00016 | Mateo Rossi | mateo.rossi@ | Financial Analyst | 2022-02-24 | office | 2024-05-01 | 2024-05-31 | 162.1 | 12 | 78.3 | 82.1 | Rome | Lazio | Italy |
| E00010 | Support | 32 | true | E00003 | Chloe Jensen | chloe.jensen@ | Customer Service Rep | 2021-10-18 | hybrid | 2024-05-01 | 2024-05-31 | 115.7 | 3 | 65.4 | 88.9 | Stockholm | Stockholm | Sweden |
| E00011 | Engineering | 19 | false | E00001 | Ahmed Al-Shehhi | ahmed.alshehhi@ | Data Scientist | 2019-04-08 | remote | 2024-05-01 | 2024-05-31 | 154.9 | 7 | 84.3 | 88.4 | Dubai | Dubai | UAE |
| E00012 | Human Resources | 2 | false | E00007 | Emily Zhao | emily.zhao@ | HR Coordinator | 2024-03-04 | office | 2024-05-01 | 2024-05-31 | 20 | 2 | blank | 7.8 | New York | NY | USA |
| E00013 | Marketing | 16 | true | blank | Benjamin Carter | benjamin.carter@ | Marketing Manager | 2017-05-19 | hybrid | 2024-05-01 | 2024-05-31 | 170.8 | 21 | 95.2 | 97.9 | Madrid | Madrid | Spain |
| E00014 | Support | 36 | true | E00003 | Natalia Ivanova | natalia.ivanova@ | Support Analyst | 2022-11-08 | remote | 2024-05-01 | 2024-05-31 | 120.5 | 2 | 72 | 92.5 | Moscow | Moscow | Russia |
| E00015 | Finance | 19 | true | blank | David Thompson | david.thompson@ | Finance Manager | 2014-08-20 | office | 2024-05-01 | 2024-05-31 | 177.2 | 26 | 99.8 | 98.4 | Dallas | TX | USA |
| E00016 | Finance | 15 | false | blank | Maria Silva | maria.silva@ | Chief Financial Officer | 2012-06-15 | hybrid | 2024-05-01 | 2024-05-31 | 182.5 | 27 | 88.9 | 96.5 | Sao Paulo | Sao Paulo | Brazil |
| E00017 | Engineering | 21 | false | E00001 | Zoey Martin | zoey.martin@ | Frontend Developer | 2023-04-27 | remote | 2024-05-01 | 2024-05-31 | 146.7 | 6 | 80.3 | 93 | San Francisco | CA | USA |
| E00018 | Sales | 13 | true | blank | Henry Wu | henry.wu@ | Sales Manager | 2018-10-03 | office | 2024-05-01 | 2024-05-31 | 175.8 | 20 | 81.4 | 89.9 | Vancouver | British Columbia | Canada |
| E00019 | Sales | 17 | true | E00018 | Isabella Moreno | isabella.moreno@ | Account Executive | 2020-08-28 | hybrid | 2024-05-01 | 2024-05-31 | 163.2 | 11 | 67.2 | 81.7 | Mexico City | CDMX | Mexico |
| E00020 | Engineering | 23 | true | E00001 | Jack Lee | jack.lee@ | DevOps Engineer | 2022-03-17 | remote | 2024-05-01 | 2024-05-31 | 158.4 | 9 | 75.9 | 91.2 | Seattle | WA | USA |
What the 200 rows show
from the 200-row sampleSupport department stands out: mean tasks_
- 65%feedback_
submitted = true - 17median tasks_
completed - 3remote statuses
- 31location countries
- 149.6median hours_
worked - 8median meetings_
attended
Median 17, from 0 to 42.
- string 10
- integer 2
- float 3
- date 3
- boolean 1
Columns
19 columns in four groups| column | type | description | example |
|---|---|---|---|
| Text 10 columns | |||
employee_id | string | Unique identifier for each employee.unique | E00001 |
employee_name | string | Full name of the employee. | Olivia Bennett |
email | string | Employee's work email address.unique | olivia.bennett@ |
department | string | Department or team the employee belongs to.6 departments | Engineering |
role_title | string | Employee's job title or role. | Lead Software Engineer |
manager_id | string | Unique identifier of the employee's manager.optional | E00013 |
remote_status | string | Indicates if the employee is fully remote, hybrid, or office-based.remote · hybrid · office | hybrid |
location_city | string | City where the employee is primarily located.optional | Austin |
location_state | string | State or province where the employee is primarily located.optional | TX |
location_country | string | Country where the employee is primarily located.optional | USA |
| Numbers 5 columns | |||
tasks_completed | integer | Number of tasks completed by the employee during the reporting period.0 or more | 24 |
hours_worked | float | Total hours worked by the employee during the reporting period.0 or more | 185 |
meetings_attended | integer | Number of meetings attended during the reporting period.0 or more · optional | 20 |
engagement_score | float | Employee's engagement score (e.g., from surveys or platform analytics, 0-100 scale).0 to 100 · optional | 97.5 |
productivity_score | float | Calculated productivity score for the reporting period (0-100 scale).0 to 100 | 98.8 |
| Dates and times 3 columns | |||
hire_date | date | Date when the employee was hired. | 2016-02-15 |
reporting_period_start | date | Start date of the productivity reporting period. | 2024-05-01 |
reporting_period_end | date | End date of the productivity reporting period. | 2024-05-31 |
| True or false 1 column | |||
feedback_submitted | boolean | Indicates if the employee submitted feedback during the reporting period.optional | true |
Use it for
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.
- Employees200E0000124Engineer…E0000218MarketingE0000714Human Re…
A software demo
Believable employees with employee_
name, email and department to fill a screen in front of a buyer.
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.
- Employee roles distributed across departments
- Weekly task completion rates tracked
- Engagement scores from virtual meetings
- Includes both full-time and contract workers
1 credit per row. Preview 20 rows free. Buy rows for the full run.
- Exports
- CSV, JSON, JSONL, Parquet, SQL, Excel, TSV, XML
- Licence
- yours to use, including commercially
- API slug
- remote-work-productivity-metrics