Remote Employee Wellness Check Dataset
This dataset provides structured records of remote employee and volunteer wellness check-ins, including mood, stress, physical health, workload, symptoms, and support needs. It enables HR and workforce support teams to monitor well-being, flag issues for intervention, and ensure compliance with wellness policies, supporting data-driven engagement and retention strategies.
Sample rows
preview · 8 of 80 rows · all 24 columns| checkin_idstring | support_type_requestedstring | mood_ratinginteger | has_symptomsboolean | manager_idstring | employee_idstring | first_namestring | last_namestring | emailstring | departmentstring | rolestring | checkin_datedate | checkin_timedatetime | stress_levelinteger | physical_health_ratinginteger | workload_levelinteger | symptoms_descriptionstring | needs_supportboolean | flagged_for_followupboolean | followup_actionstring | location_citystring | location_statestring | location_countrystring | commentsstring |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| CHK001 | blank | 4 | false | EMP109 | EMP101 | Jessica | Nguyen | jessica.nguyen@ | HR | HR Specialist | 2024-06-03 | 2024-06-03T09:15:00 | 2 | 5 | 3 | blank | false | false | blank | Seattle | WA | USA | Feeling productive today. |
| CHK002 | blank | 5 | false | EMP110 | EMP102 | Matthew | Rivera | matthew.rivera@ | IT | SysAdmin | 2024-06-03 | 2024-06-03T10:01:00 | 1 | 5 | 2 | blank | false | false | blank | Denver | CO | USA | No issues to report. |
| CHK003 | blank | 3 | false | EMP106 | EMP103 | Priya | Singh | priya.singh@ | Volunteer Coordination | Volunteer | 2024-06-03 | 2024-06-03T10:34:00 | 3 | 4 | 3 | blank | false | false | blank | Toronto | ON | Canada | Busy week ahead. |
| CHK004 | blank | 2 | true | EMP112 | EMP104 | Lucas | Brown | lucas.brown@ | Finance | Accountant | 2024-06-03 | 2024-06-03T11:11:00 | 4 | 3 | 4 | Mild headache since morning | false | true | Suggest break and hydration check | Chicago | IL | USA | blank |
| CHK005 | blank | 4 | false | EMP111 | EMP105 | Olivia | Martinez | olivia.martinez@ | Development | Fundraising Manager | 2024-06-03 | 2024-06-03T11:51:00 | 2 | 5 | 3 | blank | false | false | blank | Austin | TX | USA | Excited about upcoming campaign. |
| CHK006 | blank | 3 | false | EMP105 | EMP106 | Mark | Carter | mark.carter@ | Volunteer Coordination | Volunteer Coordinator | 2024-06-03 | 2024-06-03T12:28:00 | 3 | 4 | 3 | blank | false | false | blank | Vancouver | BC | Canada | All volunteers checked in. |
| CHK007 | IT | 5 | false | EMP110 | EMP107 | Zoe | Kim | zoe.kim@ | IT | Support Engineer | 2024-06-03 | 2024-06-03T13:02:00 | 2 | 5 | 2 | blank | true | false | blank | San Jose | CA | USA | Laptop running slow. |
| CHK008 | blank | 4 | false | blank | EMP108 | Samuel | Turner | samuel.turner@ | HR | HR Manager | 2024-06-03 | 2024-06-03T13:46:00 | 3 | 4 | 3 | blank | false | false | blank | Boston | MA | USA | blank |
| CHK009 | HR | 3 | false | blank | EMP109 | Alex | Stewart | alex.stewart@ | Finance | Finance Lead | 2024-06-03 | 2024-06-03T14:21:00 | 3 | 3 | 4 | blank | true | true | Schedule meeting to discuss workload | Portland | OR | USA | Overloaded with reports. |
| CHK010 | blank | 4 | false | blank | EMP110 | Emily | Chen | emily.chen@ | IT | IT Director | 2024-06-03 | 2024-06-03T14:54:00 | 2 | 5 | 3 | blank | false | false | blank | San Francisco | CA | USA | blank |
| CHK011 | blank | 5 | false | blank | EMP111 | Michael | Johnson | michael.johnson@ | Development | Director | 2024-06-03 | 2024-06-03T15:20:00 | 2 | 5 | 2 | blank | false | false | blank | Miami | FL | USA | Team working well. |
| CHK012 | Workload adjustment | 2 | true | EMP109 | EMP112 | Sara | Patel | sara.patel@ | Finance | Payroll Clerk | 2024-06-03 | 2024-06-03T15:58:00 | 4 | 3 | 4 | Sore throat | true | true | Offer reduced workload for recovery | Edmonton | AB | Canada | blank |
| CHK013 | blank | 3 | false | EMP108 | EMP113 | David | Li | david.li@ | HR | HR Assistant | 2024-06-03 | 2024-06-03T16:32:00 | 3 | 4 | 3 | blank | false | false | blank | Ottawa | ON | Canada | Catching up on emails. |
| CHK014 | blank | 4 | false | EMP111 | EMP114 | Carla | Santos | carla.santos@ | Development | Grant Writer | 2024-06-03 | 2024-06-03T17:07:00 | 2 | 5 | 3 | blank | false | false | blank | Los Angeles | CA | USA | Grant application submitted. |
| CHK015 | Counseling | 3 | true | EMP110 | EMP115 | Ethan | Wong | ethan.wong@ | IT | Helpdesk Analyst | 2024-06-03 | 2024-06-03T17:32:00 | 3 | 4 | 3 | Coughing | true | true | Provide health resources link | Calgary | AB | Canada | Cough persists for 2 days. |
| CHK016 | blank | 4 | false | EMP109 | EMP116 | Bella | Smith | bella.smith@ | Finance | Auditor | 2024-06-03 | 2024-06-03T17:59:00 | 2 | 5 | 2 | blank | false | false | blank | Montreal | QC | Canada | blank |
| CHK017 | blank | 5 | false | EMP106 | EMP117 | James | O'Connor | james.oconnor@ | Volunteer Coordination | Volunteer | 2024-06-03 | 2024-06-03T18:37:00 | 1 | 5 | 2 | blank | false | false | blank | Halifax | NS | Canada | All tasks done early. |
| CHK018 | blank | 4 | false | EMP111 | EMP118 | Linda | Chavez | linda.chavez@ | Development | Volunteer | 2024-06-03 | 2024-06-03T19:18:00 | 2 | 5 | 3 | blank | false | false | blank | Phoenix | AZ | USA | blank |
| CHK019 | blank | 3 | false | EMP110 | EMP119 | Robert | Evans | robert.evans@ | IT | Network Engineer | 2024-06-03 | 2024-06-03T19:47:00 | 3 | 4 | 3 | blank | false | false | blank | New York | NY | USA | Network stable. |
| CHK020 | blank | 4 | false | EMP108 | EMP120 | Sophie | Miller | sophie.miller@ | HR | HR Assistant | 2024-06-03 | 2024-06-03T20:21:00 | 2 | 5 | 3 | blank | false | false | blank | Orlando | FL | USA | blank |
What the 80 rows show
from the 80-row sample- 15%has_
symptoms = true - 4median mood_
rating - 10departments
- 2median stress_
level - 4median physical_
health_ rating - 3median workload_
level
Median 4, from 2 to 5.
- string 15
- integer 4
- date 1
- datetime 1
- boolean 3
Columns
24 columns in four groups| column | type | description | example |
|---|---|---|---|
| Text 15 columns | |||
checkin_id | string | Unique identifier for each wellness check-in recordunique | CHK001 |
employee_id | string | Unique identifier for the employee or volunteer | EMP101 |
first_name | string | Employee or volunteer's first name | Jessica |
last_name | string | Employee or volunteer's last name | Nguyen |
email | string | Employee or volunteer's email address | zoe.kim@ |
department | string | Department or team the employee/volunteer belongs to10 departments · optional | HR |
role | string | Employee or volunteer's job title or roleoptional | HR Specialist |
manager_id | string | Unique identifier for the employee's manager (if applicable)optional | EMP109 |
symptoms_description | string | Description of any symptoms reported (if applicable)11 descriptions · optional | Sore throat |
support_type_requested | string | Type of support requested (e.g., HR, IT, counseling, workload adjustment)6 requesteds · optional | IT |
followup_action | string | Recommended follow-up action or notes by HR/managementoptional | Schedule wellness call |
location_city | string | City where the employee/volunteer is working remotelyoptional | Seattle |
location_state | string | State or province where the employee/volunteer is working remotelyoptional | WA |
location_country | string | Country where the employee/volunteer is working remotelyoptional | USA |
comments | string | Additional comments or notes from the employee/volunteeroptional | No issues to report. |
| Numbers 4 columns | |||
mood_rating | integer | Self-reported mood rating (e.g., 1-5 scale, 1=very poor, 5=excellent)1 to 5 | 4 |
stress_level | integer | Self-reported stress level (e.g., 1-5 scale, 1=very low, 5=very high)1 to 5 | 2 |
physical_health_rating | integer | Self-reported physical health rating (1-5 scale)1 to 5 | 5 |
workload_level | integer | Self-reported workload level (1-5 scale, 1=very light, 5=overwhelming)1 to 5 | 3 |
| Dates and times 2 columns | |||
checkin_date | date | Date of the wellness check-in | 2024-06-03 |
checkin_time | datetime | Timestamp when the wellness check-in was submitted | 2024-06-03T09:15:00 |
| True or false 3 columns | |||
has_symptoms | boolean | Whether the employee/volunteer is experiencing any illness symptoms | false |
needs_support | boolean | Whether the employee/volunteer requests support or assistance | false |
flagged_for_followup | boolean | Whether this check-in is flagged for HR or management follow-up | false |
Use it for
A human resources dashboard
The has_
symptoms rate, mood_ rating by support_ type_ requested and a breakdown of manager_ id. Excel, Power BI or Tableau. Why do 12 of 80 rows have has_
symptoms = true? A class exercise
Hand out the rows and one question. Everyone works from the same 80 rows.
- Checkins80CHK0014—CHK0042—CHK0122Workload…
A software demo
Believable checkins with employee_
id, first_ name and last_ name to fill a screen in front of a buyer.
This dataset80 rows24 columns
Yours1,000 rows24 columnslocation_city: UK only
blueprint · remote-employee-wellness-check-dataset
Behind this dataset
Same schema. As many rows as you need.
These 80 rows came out of a blueprint — 24 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 check-in per individual per week
- Include anonymized employee/volunteer ID, department/team, and role
- Capture wellness status (e.g., 'good', 'needs support', 'unavailable')
- Record self-reported stress level and hours worked
- Flag check-ins requiring follow-up based on thresholds
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
- remote-employee-wellness-check-dataset