Remote Team Onboarding Sentiment Scores

This dataset provides comprehensive sentiment and engagement analytics for new remote hires during their onboarding process, including scores, feedback, and retention risk indicators. It enables HR teams to monitor employee experience, identify areas for improvement, and proactively address potential turnover risks. The data supports actionable insights for optimizing remote onboarding strategies and enhancing workforce retention.

  • last updated 9 Jan 2026
  • by GoMask
The brief that made it

Monitor and improve remote onboarding processes

Sample rows

preview · 8 of 70 rows · all 17 columns
onboarding_sentiment_idintegerengagement_scorefloatretention_risk_flagbooleanlocation_countrystringemployee_idintegeremployee_namestringemailstringhire_datedateonboarding_start_datedateonboarding_end_datedatedepartmentstringmanager_idintegersentiment_scorefloatsurvey_datedatelocation_citystringlocation_statestringfeedback_textstring
182.5falseUSA101Samantha Roysamantha.roy@remoteteams.com2024-02-202024-02-212024-03-05Engineering2010.762024-03-03AustinTXOnboarding was structured and welcoming. Remote setup went smoothly.
244.9trueUSA102Miguel Alvarezmiguel.alvarez@remoteteams.com2024-01-302024-02-012024-02-14Sales202-0.152024-02-10San DiegoCAFaced delays in getting access. Communication could be improved.
375falseCanada103Emily Zhangemily.zhang@remoteteams.com2024-03-052024-03-062024-03-20Marketing2030.632024-03-19TorontoONGreat onboarding sessions, felt connected with the team.
438.2trueUK104Rajesh Patelrajesh.patel@remoteteams.com2024-01-152024-01-162024-01-30Finance204-0.32024-01-29LondonLondonProcess felt rushed. Some documents were missing.
595.2falseUSA105Ava Williamsava.williams@remoteteams.com2024-04-022024-04-032024-04-17Human Resources2050.912024-04-16SeattleWABest onboarding experience so far. Supportive HR team.
661.7falseGermany106Lucas Schmidtlucas.schmidt@remoteteams.com2024-03-202024-03-212024-04-04Engineering2010.342024-04-03BerlinBerlinRemote equipment arrived late, but overall good experience.
748.3trueUAE107Fatima Hassanfatima.hassan@remoteteams.com2024-01-252024-01-262024-02-09Support2060.122024-02-08DubaiDubaiFelt isolated during virtual onboarding. Needed more team interaction.
870.8falseUSA108Jack Murphyjack.murphy@remoteteams.com2024-02-102024-02-112024-02-25Engineering2010.522024-02-24BostonMAEnjoyed the technical sessions, wish there were more team calls.

What the 70 rows show

from the 70-row sample
  • 27%retention_risk_flag = true
  • 67.0median engagement_score
  • 9departments
  • 0.42median sentiment_score
engagement_score70 rows, in bands of 10
071400141391212127050100engagement_score →

Median 67.0, from 27.6 to 99.2.

location_country70 rows · top 10 of 29 values
  1. USA11
  2. Canada5
  3. UK5
  4. Germany5
  5. Italy3
  6. Russia3
  7. Portugal3
  8. UAE2
  9. China2
  10. Australia2
17 columns by typefrom the column list below
  • string 7
  • integer 3
  • float 2
  • date 4
  • boolean 1

Columns

17 columns in four groups
blueprint · 17 columns
columntypedescriptionexample
Text 7 columns
employee_namestringFull name of the employeeSamantha Roy
emailstringEmployee's email addressyu.chen@remoteteams.com
departmentstringDepartment the employee belongs to9 departmentsEngineering
feedback_textstringOpen-ended feedback provided by the employee about onboarding experienceoptionalOnboarding was structured…
location_citystringCity where the employee is basedoptionalAustin
location_statestringState or region where the employee is basedoptionalTX
location_countrystringCountry where the employee is basedUSA
Numbers 5 columns
onboarding_sentiment_idintegerUnique identifier for each onboarding sentiment recordunique1
employee_idintegerUnique identifier for the employee101
manager_idintegerUnique identifier for the employee's manageroptional201
sentiment_scorefloatOverall sentiment score (e.g., -1 to 1) derived from onboarding feedback-1 to 10.76
engagement_scorefloatQuantitative measure of employee engagement during onboarding (0 to 100)0 to 10082.5
Dates and times 4 columns
hire_datedateDate the employee was hired2024-02-20
onboarding_start_datedateDate the onboarding process started2024-02-21
onboarding_end_datedateDate the onboarding process endedoptional2024-03-05
survey_datedateDate the sentiment survey was completed2024-03-03
True or false 1 column
retention_risk_flagbooleanIndicator if the employee is at risk of leaving based on sentiment/engagement analysisfalse

Use it for

  • retention risk…27%19 of 70 rows

    A human resources dashboard

    The retention_risk_flag rate, engagement_score and a breakdown of location_country. Excel, Power BI or Tableau.

  • Why do 19 of 70 rows have retention_risk_flag = true?

    A class exercise

    Hand out the rows and one question. Everyone works from the same 70 rows.

  • A software demo

    Believable rows with employee_id, employee_name and email to fill a screen in front of a buyer.

Not quite right?

Make it yours.

Same 17 columns, your size and your rules. See 20 rows before you pay.

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This dataset70 rows17 columns
Yours1,000 rows17 columnslocation_city: UK only

blueprint · remote-team-onboarding-sentiment-scores

Behind this dataset

Same schema. As many rows as you need.

These 70 rows came out of a blueprint — 17 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 new remote employee onboarded in the past 90 days.
  • Sentiment score derived from weekly feedback surveys, scaled 1-10.
  • Includes onboarding activity completion rate (percentage).
  • Flag if employee requested additional support or resources during onboarding.
  • Categorize by department and job role.
Rows
Open the blueprint in Data Factory

1 credit per row. New accounts start with 25 free credits.

Exports
CSV, JSON, JSONL, Parquet, SQL, Excel, TSV, XML
Licence
yours to use, including commercially
API slug
remote-team-onboarding-sentiment-scores

What should your data show?

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