Workforce Remote Productivity Metrics
This dataset provides granular productivity metrics for remote workforce teams, including individual performance, attendance, collaboration, and location details across defined review periods. It enables HR professionals and operational managers to assess remote work effectiveness, identify trends, and optimize team performance for distributed organizations.
Sample rows
preview · 8 of 200 rows · all 21 columns| employee_idstring | departmentstring | tasks_assignedinteger | is_full_time_remoteboolean | remote_work_location_countrystring | employee_namestring | emailstring | team_idstring | team_namestring | manager_idstring | review_period_startdate | review_period_enddate | hours_workedfloat | tasks_completedinteger | productivity_scorefloat | attendance_ratefloat | average_response_time_minutesfloat | collaboration_scorefloat | remote_work_location_statestring | remote_work_location_citystring | notesstring |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| EMP001 | Engineering | 70 | true | India | Olivia Hernandez | olivia.hernandez@ | T-ENG-1 | Backend Wizards | blank | 2024-01-01 | 2024-03-31 | 512.5 | 67 | 98.3 | 99.7 | 13.8 | 92.4 | Karnataka | Bangalore | Led critical migration project, praised for technical expertise and mentoring. |
| EMP002 | Engineering | 69 | true | USA | Ethan Wu | ethan.wu@ | T-ENG-1 | Backend Wizards | EMP001 | 2024-01-01 | 2024-03-31 | 489.6 | 64 | 94.7 | 98.5 | 15.1 | 89.5 | California | San Jose | Consistently delivers features on time, proactive in team meetings. |
| EMP003 | Engineering | 71 | true | Russia | Sofia Ivanova | sofia.ivanova@ | T-ENG-1 | Backend Wizards | EMP001 | 2024-01-01 | 2024-03-31 | 521.2 | 69 | 99.1 | 100 | 11.9 | 95.8 | Moscow | Moscow | Exceptional code quality and peer reviews, high collaboration. |
| EMP004 | Engineering | 68 | true | Germany | Jacob Lee | jacob.lee@ | T-ENG-1 | Backend Wizards | EMP001 | 2024-01-01 | 2024-03-31 | 477.8 | 62 | 91.6 | 98.2 | 16.3 | 86.9 | Berlin | Berlin | Strong technical communication, handled urgent issues efficiently. |
| EMP005 | Engineering | 73 | true | Italy | Amelia Rossi | amelia.rossi@ | T-ENG-2 | Frontend Guild | blank | 2024-02-01 | 2024-04-30 | 533.4 | 70 | 98.9 | 99.5 | 12.7 | 93.6 | Lombardy | Milan | Front-end lead, provided excellent UI/UX guidance and support. |
| EMP006 | Engineering | 72 | true | UK | Liam Smith | liam.smith@ | T-ENG-2 | Frontend Guild | EMP005 | 2024-02-01 | 2024-04-30 | 510.8 | 68 | 95.2 | 97.9 | 14.2 | 88.7 | England | London | Collaborative on design sprints, strong feedback from QA. |
| EMP007 | Engineering | 74 | true | UAE | Mia Patel | mia.patel@ | T-ENG-2 | Frontend Guild | EMP005 | 2024-02-01 | 2024-04-30 | 525.6 | 71 | 99.5 | 100 | 10.4 | 97.2 | Dubai | Dubai | Top contributor, excellent cross-team communication. |
| EMP008 | Engineering | 71 | true | South Korea | Noah Kim | noah.kim@ | T-ENG-2 | Frontend Guild | EMP005 | 2024-02-01 | 2024-04-30 | 499.2 | 66 | 90.8 | 99.1 | 17.6 | 84.1 | Seoul | Seoul | Consistently meets sprint goals, quick bug fixes. |
| EMP009 | Marketing | 62 | false | USA | Lucas Brown | lucas.brown@ | T-MKT-1 | Brand Visionaries | blank | 2023-12-01 | 2024-02-29 | 402.7 | 56 | 81.6 | 98.9 | 41.9 | 78.3 | New York | New York | Strong campaign leadership and creative direction. |
| EMP010 | Marketing | 58 | false | Canada | Emma Wilson | emma.wilson@ | T-MKT-1 | Brand Visionaries | EMP009 | 2023-12-01 | 2024-02-29 | 397.1 | 52 | 79.8 | 96.7 | 46.3 | 77.1 | Ontario | Toronto | Excellent copywriting, collaborative on social media projects. |
| EMP011 | Marketing | 54 | false | Japan | Isabella Martinez | isabella.martinez@ | T-MKT-1 | Brand Visionaries | EMP009 | 2023-12-01 | 2024-02-29 | 386.9 | 48 | 75.4 | 95.1 | 44.7 | 75.6 | Tokyo | Tokyo | Provides creative vision for campaigns, reliable team player. |
| EMP012 | Marketing | 65 | false | Italy | Henry Clark | henry.clark@ | T-MKT-2 | Content Creators | blank | 2024-02-01 | 2024-04-30 | 408.2 | 60 | 83.9 | 99.4 | 40.3 | 80 | Lazio | Rome | Content lead, ensures timely publication and quality standards. |
| EMP013 | Marketing | 44 | false | USA | Ava Carter | ava.carter@ | T-MKT-2 | Content Creators | EMP012 | 2024-02-01 | 2024-04-30 | 371.4 | 38 | 76.2 | 95.9 | 48.2 | 75.9 | Texas | Austin | Assists with video production and digital assets. |
| EMP014 | Marketing | 50 | false | Canada | William Zhang | william.zhang@ | T-MKT-2 | Content Creators | EMP012 | 2024-02-01 | 2024-04-30 | 389.6 | 43 | 80.7 | 97.2 | 42.8 | 78.2 | British Columbia | Vancouver | Designs campaign visuals, effective communicator. |
| EMP015 | Operations | 57 | true | France | Charlotte Dubois | charlotte.dubois@ | T-OPS-1 | Logistics Leaders | blank | 2024-01-10 | 2024-04-10 | 605.7 | 53 | 90.2 | 99.1 | 31.6 | 87.3 | Ile-de-France | Paris | Manages supply chain projects, strong team leadership. |
| EMP016 | Operations | 54 | false | USA | Benjamin Turner | benjamin.turner@ | T-OPS-1 | Logistics Leaders | EMP015 | 2024-01-10 | 2024-04-10 | 591.2 | 49 | 86.4 | 97.6 | 35.2 | 84.5 | Illinois | Chicago | Coordinates distribution, reliable under pressure. |
| EMP017 | Operations | 53 | true | Sweden | Ella Johansson | ella.johansson@ | T-OPS-1 | Logistics Leaders | EMP015 | 2024-01-10 | 2024-04-10 | 578.9 | 47 | 85.1 | 96.5 | 37.8 | 82.7 | Stockholm | Stockholm | Efficient operations management, highly organized. |
| EMP018 | Operations | 44 | true | Ghana | James Osei | james.osei@ | T-OPS-2 | Process Innovators | blank | 2024-02-05 | 2024-05-05 | 552.1 | 38 | 75.8 | 96.2 | 43.1 | 75.6 | Greater Accra | Accra | Introduced process improvements, noted for innovation. |
| EMP019 | Operations | 39 | true | China | Zoe Chen | zoe.chen@ | T-OPS-2 | Process Innovators | EMP018 | 2024-02-05 | 2024-05-05 | 525.4 | 35 | 73.9 | 94.8 | 49.4 | 73.2 | Guangdong | Shenzhen | Supports innovation projects, proactive in team training. |
| EMP020 | Operations | 42 | false | Germany | Alexander Weber | alexander.weber@ | T-OPS-2 | Process Innovators | EMP018 | 2024-02-05 | 2024-05-05 | 539.7 | 37 | 74.8 | 95.3 | 45.2 | 74.5 | Bavaria | Munich | Excellent process documentation, reliable collaborator. |
What the 200 rows show
from the 200-row sampleSupport department stands out: mean tasks_
- 64%is_
full_ time_ remote = true - 61median tasks_
assigned - 52teams
- 57team names
- 417.8median hours_
worked - 57median tasks_
completed
Median 61, from 0 to 200.
- string 11
- integer 2
- float 5
- date 2
- boolean 1
Columns
21 columns in four groups| column | type | description | example |
|---|---|---|---|
| Text 11 columns | |||
employee_id | string | Unique identifier for each employeeunique | EMP001 |
employee_name | string | Full name of the employee | Olivia Hernandez |
email | string | Work email address of the employeeunique | ethan.wu@ |
team_id | string | Unique identifier for the remote team | T-ENG-1 |
team_name | string | Name of the remote team | Backend Wizards |
department | string | Department to which the employee belongs8 values | Engineering |
manager_id | string | Employee ID of the manageroptional | EMP001 |
remote_work_location_country | string | Country where the employee primarily works remotely | India |
remote_work_location_state | string | State or region where the employee primarily works remotelyoptional | Karnataka |
remote_work_location_city | string | City where the employee primarily works remotelyoptional | Bangalore |
notes | string | Additional comments or notes related to employee productivity or remote workoptional | Led critical migration pr… |
| Numbers 7 columns | |||
hours_worked | float | Total hours worked by the employee during the review period0 or more | 512.5 |
tasks_completed | integer | Number of tasks completed by the employee during the review period0 or more | 67 |
tasks_assigned | integer | Number of tasks assigned to the employee during the review period0 or more | 70 |
productivity_score | float | Calculated productivity score for the employee during the review period (0-100 scale)0 to 100 | 98.3 |
attendance_rate | float | Percentage of scheduled remote work days attended by the employee (0-100)0 to 100 | 99.7 |
average_response_time_minutes | float | Average response time to team communications in minutes0 or more · optional | 13.8 |
collaboration_score | float | Score reflecting employee's collaboration with team members (0-100 scale)0 to 100 · optional | 92.4 |
| Dates and times 2 columns | |||
review_period_start | date | Start date of the productivity review period | 2024-01-01 |
review_period_end | date | End date of the productivity review period | 2024-03-31 |
| True or false 1 column | |||
is_full_time_remote | boolean | Indicates if the employee works fully remote (true) or hybrid (false) | true |
Use it for
A human resources dashboard
The is_
full_ time_ remote rate, tasks_ assigned by department and a breakdown of remote_ work_ location_ country. Excel, Power BI or Tableau. Why do the 23 Support rows have a mean tasks_
assigned of 185.6? A root-cause class exercise
Hand out the rows and one question. The answer is in the data, not in the brief.
- Employees200EMP00170Engineer…EMP00269Engineer…EMP00962Marketing
A software demo
Believable employees with employee_
name, email and team_ id to fill a screen in front of a buyer.
This dataset200 rows21 columns
Yours1,000 rows21 columnsremote_work_location_country: UK only
blueprint · workforce-remote-productivity-metrics
Behind this dataset
Same schema. As many rows as you need.
These 200 rows came out of a blueprint — 21 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
- Track productivity per employee
- Include remote work status
- Flag missed deadlines
- Segment by project type
Open the blueprint in Data Factory
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
- workforce-remote-productivity-metrics