Remote Skills Assessment Benchmarking

This dataset provides detailed, benchmarked skill assessment results for remote employees across multiple teams and departments. It enables HR leaders and analysts to compare individual and team performance, identify skill gaps, evaluate assessment tools, and align workforce development with digital transformation goals. The rich structure supports actionable insights for training and talent management in remote work environments.

  • last updated 2 Dec 2025
  • by GoMask
The brief that made it

Benchmarking remote employee skill levels across teams and departments

Sample rows

preview · 8 of 120 rows · all 21 columns
assessment_idstringscore_bandstringgap_to_benchmarkfloattraining_recommendedbooleanlocation_statestringemployee_idstringemployee_namestringemployee_emailstringteam_idstringteam_namestringdepartmentstringassessment_toolstringassessment_datedateskill_categorystringskill_namestringscorefloatbenchmark_scorefloatdigital_transformation_alignmentbooleanlocation_citystringlocation_countrystringcommentsstring
A-00001Advanced4.6falseCAE-10101Alice Johnsonalice.johnson@acme.comT-AlphaAlpha InnovatorsEngineeringSkillMatrix Pro2024-02-11technicalPython Programming92.788.1trueSan FranciscoUSAStrong technical expertise demonstrated in Python tasks and code optimization.
A-00002Expert3.6falseblankE-10102Mohamed Al-Farsimohamed.alfarsi@acme.comT-AlphaAlpha InnovatorsEngineeringSkillMatrix Pro2024-03-18digital-literacyCloud Platform Usage96.192.5trueBerlinGermanyExceptional proficiency in cloud technologies, supporting transformation goals.
A-00003Advanced2.4falseMHE-10103Priya Nairpriya.nair@acme.comT-DeltaDelta VisionariesITTalentGauge2024-05-04leadershipRemote Team Leadership90.387.9trueMumbaiIndiaDemonstrated strong leadership and adaptability in remote team environments.
A-00004Advanced-1.7trueNSWE-10104Benjamin Leebenjamin.lee@acme.comT-DeltaDelta VisionariesITSkillMatrix Pro2024-04-08digital-literacyCybersecurity Awareness84.586.2trueSydneyAustraliaGood awareness, but further training on advanced threats recommended.
A-00005Competent-4.6trueONE-10105Linda Chenlinda.chen@acme.comT-BetaBeta CollaboratorsHRSkillMatrix Pro2024-01-29collaborationAgile Standups63.267.8falseTorontoCanadaEffective in daily standups; could improve on facilitating remote discussions.
A-00006Needs Improvement-6.2trueSPE-10106Lucas Martinslucas.martins@acme.comT-BetaBeta CollaboratorsHRTalentGauge2024-03-12communicationRemote Feedback Delivery54.160.3falseSão PauloBrazilNeeds to improve clarity and consistency in remote feedback processes.
A-00007Needs Improvement-15.4trueblankE-10107Sophie Müllersophie.muller@acme.comT-GammaGamma PioneersProductSkillMatrix Pro2024-02-23problem-solvingRoot Cause Analysis47.362.7falseMunichGermanyRequires guidance on structured problem-solving for remote work challenges.
A-00008Competent-2.6trueblankE-10108Emily Thompsonemily.thompson@acme.comT-GammaGamma PioneersProductTalentGauge2024-03-27communicationRemote Presentation Skills69.572.1falseLondonUKSolid presentation skills demonstrated; opportunity to enhance engagement remotely.

What the 120 rows show

from the 120-row sample

Needs Improvement (score band) stands out: mean gap_to_benchmark is -14.4, against 0.25 for the rest.

  • 54%training_recommended = true
  • -1.4median gap_to_benchmark
  • 4teams
  • 6assessment tools
  • 7team names
  • 8departments
gap_to_benchmark120 rows, in bands of 5
03060649541541training_recommended below 0-25010gap_to_benchmark →

Every row with gap_to_benchmark under 0 has training_recommended = true. None above it.

location_state37 rows with a value · 83 left blank
  1. CA5
  2. NSW5
  3. ON5
  4. KA4
  5. MH3
  6. SP3
  7. RJ2
  8. BE2
  9. DL1
  10. VIC1
21 columns by typefrom the column list below
  • string 15
  • float 3
  • date 1
  • boolean 2

Columns

21 columns in four groups
blueprint · 21 columns
columntypedescriptionexample
Text 15 columns
assessment_idstringUnique identifier for each skill assessment result recorduniqueA-00001
employee_idstringUnique identifier for the employee being assessedE-10101
employee_namestringFull name of the employeeAlice Johnson
employee_emailstringEmployee's work email addressalice.johnson@acme.com
team_idstringUnique identifier for the remote team4 teamsT-Alpha
team_namestringName of the remote team7 namesAlpha Innovators
departmentstringDepartment or business unit the employee belongs to8 departmentsEngineering
assessment_toolstringName of the skill assessment tool/platform used6 toolsSkillMatrix Pro
skill_categorystringCategory of skill being assessed (e.g., communication, collaboration, technical, leadership)8 valuestechnical
skill_namestringSpecific skill name (e.g., Python, Zoom facilitation, project management)Python Programming
score_bandstringPerformance band based on score (e.g., 'Needs Improvement', 'Competent', 'Advanced')Needs Improvement · Competent · Advanced · ExpertAdvanced
commentsstringAdditional comments or notes from the assessoroptionalStrong technical expertis…
location_citystringCity where the employee is basedoptionalSan Francisco
location_statestringState or province where the employee is basedoptionalCA
location_countrystringCountry where the employee is basedoptionalUSA
Numbers 3 columns
scorefloatNumeric score achieved by the employee for the skill (0-100 scale)0 to 10092.7
benchmark_scorefloatAverage benchmark score for this skill across all remote teams0 to 100 · optional88.1
gap_to_benchmarkfloatDifference between employee score and benchmark scoreoptional4.6
Dates and times 1 column
assessment_datedateDate when the skill assessment was conducted2024-02-11
True or false 2 columns
training_recommendedbooleanIndicates if further training is recommended for this skilloptionalfalse
digital_transformation_alignmentbooleanIndicates if the assessed skill aligns with digital transformation goalsoptionaltrue

Use it for

  • training recom…54%65 of 120 rows

    A human resources dashboard

    The training_recommended rate, gap_to_benchmark by score_band and a breakdown of location_state. Excel, Power BI or Tableau.

  • Why do the 23 Needs Improvement rows have a mean gap_to_benchmark of -14.4?

    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 assessments with employee_id, employee_name and employee_email to fill a screen in front of a buyer.

Not quite right?

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This dataset120 rows21 columns
Yours1,000 rows21 columnslocation_city: UK only

blueprint · remote-skills-assessment-benchmarking

Behind this dataset

Same schema. As many rows as you need.

These 120 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
  • Each row represents one employee's assessment outcome
  • Includes skill category, assessment score, and assessment type
  • Captures remote status, region, and tenure for benchmarking segmentation
  • Assessment scores normalized (0-100) for cross-comparison
  • Collection period limited to post-2022 remote work environments
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-skills-assessment-benchmarking

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