Remote Team Engagement Analytics

This dataset provides granular analytics on remote workforce engagement, tracking productivity, collaboration, and well-being for each employee across defined reporting periods. Designed for HR and PeopleOps professionals, it enables targeted interventions, trend analysis, and optimization of distributed team performance post-pandemic.

  • last updated 26 Oct 2025
  • by GoMask
The brief that made it

Identifying high and low engagement employees for targeted support

Sample rows

preview · 8 of 120 rows · all 20 columns
employee_idstringengagement_levelstringhours_workedfloatfeedback_submittedbooleanmanager_idstringfull_namestringemailstringdepartmentstringrolestringlocation_citystringlocation_countrystringdate_joineddatereporting_period_startdatereporting_period_enddateproductivity_scorefloatcollaboration_scorefloatwellbeing_scorefloatmeetings_attendedintegertasks_completedintegernotesstring
EMP001High192.4trueblankJessica Kimjessica.kim@remoteworks.comEngineeringEngineering ManagerSan FranciscoUSA2016-03-152024-05-012024-05-3193.896.189.31839Team exceeded sprint goals; morale is high.
EMP002High184.2trueblankSamuel Ritchiesamuel.ritchie@remoteworks.comProductProduct LeadLondonUnited Kingdom2018-06-102024-05-012024-05-3188.690.292.71532Strong leadership in new product launch.
EMP003High179.8trueblankAmelia Torresamelia.torres@remoteworks.comFinanceFinance ManagerTorontoCanada2017-09-222024-05-012024-05-3191.487.988.51441Quarterly reporting completed early.
EMP004High180.2trueEMP001Lukas Bauerlukas.bauer@remoteworks.comEngineeringLead Software EngineerBerlinGermany2019-05-302024-05-012024-05-3186.388.485.71634Mentored two new engineers.
EMP005High176.9trueEMP001Priya Desaipriya.desai@remoteworks.comEngineeringSenior Software EngineerMumbaiIndia2020-02-172024-05-012024-05-3183.784.587.11329Delivered critical backend updates.
EMP006Medium158.3trueEMP004Jin Parkjin.park@remoteworks.comEngineeringSoftware EngineerSeoulSouth Korea2022-07-112024-05-012024-05-3175.677.881.21120Consistent code quality improvements.
EMP007Medium149.6trueEMP002Elena Garciaelena.garcia@remoteworks.comProductProduct AnalystMadridSpain2021-11-292024-05-012024-05-3168.970.5721018Provided key market insights.
EMP008Medium142.1falseEMP003Omar Khalidomar.khalid@remoteworks.comFinanceFinancial AnalystDubaiUnited Arab Emirates2023-03-162024-05-012024-05-3164.266.769.3915Working on forecast automation.

What the 120 rows show

from the 120-row sample

Low (engagement level) stands out: mean hours_worked is 71.7, against 163.5 for the rest.

  • 58%feedback_submitted = true
  • 150.3median hours_worked
  • 7departments
  • 74.2median productivity_score
  • 76.7median collaboration_score
  • 77.5median wellbeing_score
Mean hours_worked by engagement_level120 rows
0100200179.6High48 rows145.6Medium43 rows71.7Low29 rows
hours_worked120 rows, in bands of 20
020406005135113130190100200hours_worked →

Median 150.3, from 0.0 to 199.7.

manager_id92 rows with a value · 28 left blank
  1. EMP0027
  2. EMP2107
  3. EMP0036
  4. EMP1016
  5. EMP0045
  6. EMP2015
  7. EMP2215
  8. EMP0014
  9. EMP0154
  10. EMP0124
20 columns by typefrom the column list below
  • string 10
  • integer 2
  • float 4
  • date 3
  • boolean 1

Columns

20 columns in four groups
blueprint · 20 columns
columntypedescriptionexample
Text 10 columns
employee_idstringUnique identifier for each employee in the remote teamuniqueEMP001
full_namestringFull legal name of the employeeJessica Kim
emailstringEmployee's work email addressuniquejin.park@remoteworks.com
departmentstringDepartment or team the employee belongs to7 departmentsEngineering
rolestringEmployee's job role or titleEngineering Manager
manager_idstringUnique identifier of the employee's manageroptionalEMP001
location_citystringCity where the employee is primarily locatedoptionalSan Francisco
location_countrystringCountry where the employee is primarily locatedoptionalUSA
engagement_levelstringCategorical engagement level based on combined metrics (e.g., High, Medium, Low)High · Medium · LowHigh
notesstringOptional notes or comments related to the employee's engagement or performance for the periodoptionalSuccessful Q2 campaign.
Numbers 6 columns
productivity_scorefloatEmployee's productivity score (e.g., output, task completion rate) for the reporting period, scaled 0-1000 to 10093.8
collaboration_scorefloatEmployee's collaboration score (e.g., participation in meetings, shared documents) for the reporting period, scaled 0-1000 to 10096.1
wellbeing_scorefloatEmployee's well-being score (e.g., survey results, self-reported wellness) for the reporting period, scaled 0-1000 to 10089.3
hours_workedfloatTotal hours worked by the employee during the reporting period0 or more192.4
meetings_attendedintegerNumber of virtual meetings attended during the reporting period0 or more18
tasks_completedintegerNumber of tasks or deliverables completed during the reporting period0 or more39
Dates and times 3 columns
date_joineddateDate the employee joined the company2016-03-15
reporting_period_startdateStart date of the reporting period for engagement metrics2024-05-01
reporting_period_enddateEnd date of the reporting period for engagement metrics2024-05-31
True or false 1 column
feedback_submittedbooleanIndicates if the employee submitted engagement or well-being feedback during the reporting periodtrue

Use it for

  • feedback submi…58%70 of 120 rowsmean hours worked by …179.6High145.6Medium71.7Low

    A human resources dashboard

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

  • Why do the 29 Low rows have a mean hours_worked of 71.7?

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

Not quite right?

Make it yours.

Same 20 columns, your size and your rules. See 20 rows before you pay.

Preview 20 rows free

1,000 rows: $1.99 · 10,000: $12.99One-time. No subscription. All prices

This dataset120 rows20 columns
Yours1,000 rows20 columnslocation_city: UK only

blueprint · remote-team-engagement-analytics

Behind this dataset

Same schema. As many rows as you need.

These 120 rows came out of a blueprint — 20 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 a unique remote employee in a given month
  • Include engagement score, productivity index, collaboration frequency, and well-being rating
  • Flag any employee with engagement score below 50 as 'at-risk'
  • Capture onboarding/offboarding events and their impact on engagement
  • Ensure a mix of team sizes and departments
Rows
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-team-engagement-analytics

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