Remote Onboarding Success Analytics
This dataset provides comprehensive analytics on virtual onboarding processes for remote and hybrid teams, including employee engagement, completion rates, feedback, and early performance indicators. It enables organizations to optimize onboarding strategies, improve retention, and assess the effectiveness of managers and departments in supporting new hires.
Sample rows
preview · 8 of 124 rows · all 17 columns| onboarding_idstring | completion_statusstring | engagement_scorefloat | retention_status_90_daysboolean | manager_idstring | employee_idstring | employee_namestring | employee_emailstring | hire_datedate | onboarding_start_datedate | onboarding_end_datedate | onboarding_typestring | departmentstring | completion_ratefloat | early_performance_indicatorfloat | feedback_scorefloat | feedback_commentsstring |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| ONB1001 | completed | 95.2 | true | M101 | E2001 | Ava Richardson | ava.richardson@ | 2023-11-21 | 2023-11-22 | 2023-12-07 | remote | Engineering | 100 | 94.1 | 9.3 | Great virtual onboarding. Very supportive team and clear materials. |
| ONB1002 | in-progress | blank | blank | M110 | E2002 | Samuel Lee | samuel.lee@ | 2024-01-05 | 2024-01-05 | blank | hybrid | Product | 32.7 | blank | blank | blank |
| ONB1003 | completed | 88.4 | true | M105 | E2003 | Priya Nair | priya.nair@ | 2022-09-01 | 2022-09-01 | 2022-09-12 | remote | IT | 97.8 | 91.7 | 8.7 | Smooth onboarding process, appreciated the remote flexibility. |
| ONB1004 | completed | 76.3 | true | M117 | E2004 | Carlos Fernandez | carlos.fernandez@ | 2020-04-10 | 2020-04-12 | 2020-04-25 | in-person | Finance | 89.4 | 71.8 | 6.5 | Informative sessions, but could be more interactive. |
| ONB1005 | in-progress | blank | blank | M109 | E2005 | Mei Chen | mei.chen@ | 2024-03-12 | 2024-03-13 | blank | hybrid | HR | 46 | blank | blank | blank |
| ONB1006 | in-progress | blank | blank | M105 | E2006 | Derek Johnson | derek.johnson@ | 2024-01-18 | 2024-01-18 | blank | remote | IT | 18.3 | blank | blank | blank |
| ONB1007 | completed | 91 | true | M113 | E2007 | Giulia Romano | giulia.romano@ | 2023-07-02 | 2023-07-03 | 2023-07-18 | hybrid | R&D | 100 | 93.3 | 9.8 | Impressed with the hybrid program. Great support and tech tools. |
| ONB1008 | completed | 59.7 | false | M120 | E2008 | James O'Malley | james.omalley@ | 2022-02-09 | 2022-02-10 | 2022-02-25 | in-person | Logistics | 100 | 65.2 | 5.2 | Onboarding covered the basics but lacked hands-on activities. |
| ONB1009 | completed | 65.8 | true | M121 | E2009 | Fatima Hassan | fatima.hassan@ | 2021-10-23 | 2021-10-24 | 2021-11-10 | in-person | Security | 100 | 52 | 6.1 | Thorough in-person onboarding, though a bit overwhelming at first. |
| ONB1010 | completed | 97.5 | true | M101 | E2010 | Lucas Moreau | lucas.moreau@ | 2023-08-15 | 2023-08-15 | 2023-08-29 | remote | Engineering | 100 | 99.3 | 9.9 | Outstanding onboarding. Loved the remote collaboration tools. |
| ONB1011 | completed | 79.5 | true | M113 | E2011 | Helena Schmidt | helena.schmidt@ | 2023-06-20 | 2023-06-21 | 2023-07-03 | hybrid | R&D | 94.1 | 82.4 | 7.8 | Good experience, but would have liked more hands-on projects. |
| ONB1012 | failed | 41.2 | false | M117 | E2012 | Omar Al-Khaled | omar.alkhaled@ | 2022-10-03 | 2022-10-04 | 2022-10-20 | in-person | Finance | 37.4 | 32.1 | 1.8 | Had technical issues and missed several sessions. |
| ONB1013 | failed | 27.9 | false | M119 | E2013 | Sofia Rossi | sofia.rossi@ | 2021-05-18 | 2021-05-19 | 2021-05-27 | in-person | Design | 46.2 | 21.6 | 0.9 | The onboarding was confusing and not well organized. |
| ONB1014 | completed | 78.6 | true | M116 | E2014 | Jake Turner | jake.turner@ | 2023-02-11 | 2023-02-12 | 2023-02-25 | remote | Marketing | 86.7 | 73 | 6.7 | Remote onboarding was efficient but lacked team bonding. |
| ONB1015 | completed | 92.4 | true | M118 | E2015 | Katarina Petrov | katarina.petrov@ | 2023-10-28 | 2023-10-29 | 2023-11-10 | hybrid | Legal | 100 | 90.5 | 9.2 | Excellent hybrid onboarding, very engaging and informative. |
| ONB1016 | in-progress | blank | blank | M109 | E2016 | Oliver Evans | oliver.evans@ | 2024-03-01 | 2024-03-02 | blank | hybrid | HR | 53.8 | blank | blank | blank |
| ONB1017 | completed | 97.2 | true | M101 | E2017 | Emily Clark | emily.clark@ | 2022-11-13 | 2022-11-14 | 2022-11-28 | remote | Engineering | 100 | 98.6 | 9.7 | Fantastic onboarding, resources were extremely helpful. |
| ONB1018 | completed | 95.1 | true | M113 | E2018 | Lucas Schmidt | lucas.schmidt@ | 2023-07-12 | 2023-07-13 | 2023-07-28 | hybrid | R&D | 100 | 93.8 | 9.5 | Hybrid onboarding exceeded expectations. Loved the blend of remote and in-person. |
| ONB1019 | completed | 72.1 | false | M116 | E2019 | Sara Johnson | sara.johnson@ | 2023-03-02 | 2023-03-03 | 2023-03-15 | remote | Marketing | 93.2 | 69.8 | 6.2 | Decent onboarding, but some sessions were unclear. |
| ONB1020 | completed | 94.6 | true | M101 | E2020 | Ahmed Saeed | ahmed.saeed@ | 2023-12-19 | 2023-12-20 | 2024-01-03 | remote | Engineering | 100 | 95.8 | 9.4 | Well-coordinated onboarding, excellent use of technology. |
What the 124 rows show
from the 124-row sampleCompleted (completion status) stands out: mean engagement_
- 66%retention_
status_ 90_ days = true - 79.5median engagement_
score - 3onboarding types
- 13departments
- 96.4median completion_
rate - 79.8median early_
performance_ indicator
Median 79.5, from 18.9 to 98.1.
- string 9
- float 4
- date 3
- boolean 1
Columns
17 columns in four groups| column | type | description | example |
|---|---|---|---|
| Text 9 columns | |||
onboarding_id | string | Unique identifier for each onboarding process instanceunique | ONB1001 |
employee_id | string | Unique identifier for the employee being onboarded | E2001 |
employee_name | string | Full name of the employee | Ava Richardson |
employee_email | string | Email address of the employee | samuel.lee@ |
onboarding_type | string | Type of onboarding process (remote, hybrid, in-person)remote · hybrid · in-person | remote |
department | string | Department the employee is joining | Engineering |
manager_id | string | Unique identifier for the manager overseeing onboarding | M101 |
completion_status | string | Status of onboarding completion (completed, in-progress, failed)completed · in-progress · failed | completed |
feedback_comments | string | Open-ended feedback or comments from the employee about onboardingoptional | Great virtual onboarding.… |
| Numbers 4 columns | |||
completion_rate | float | Percentage of onboarding tasks completed (0-100)0 to 100 | 100 |
engagement_score | float | Quantitative score reflecting employee engagement during onboarding (0-100)0 to 100 · optional | 95.2 |
early_performance_indicator | float | Score or rating indicating early job performance (0-100)0 to 100 · optional | 94.1 |
feedback_score | float | Average score from employee feedback surveys (0-10)0 to 10 · optional | 9.3 |
| Dates and times 3 columns | |||
hire_date | date | Date the employee was hired | 2023-11-21 |
onboarding_start_date | date | Date when the onboarding process started | 2023-11-22 |
onboarding_end_date | date | Date when the onboarding process endedoptional | 2023-12-07 |
| True or false 1 column | |||
retention_status_90_days | boolean | Whether the employee is still employed 90 days after onboardingoptional | true |
Use it for
A human resources dashboard
The retention_
status_ 90_ days rate, engagement_ score by completion_ status and a breakdown of manager_ id. Excel, Power BI or Tableau. Why do the 88 completed rows have a mean engagement_
score of 81.1? A root-cause class exercise
Hand out the rows and one question. The answer is in the data, not in the brief.
- Onboardings124ONB100195.2completedONB100388.4completedONB100859.7completed
A software demo
Believable onboardings with employee_
id, employee_ name and employee_ email to fill a screen in front of a buyer.
This dataset124 rows17 columns
Yours1,000 rows17 columns
blueprint · remote-onboarding-success-analytics
Behind this dataset
Same schema. As many rows as you need.
These 124 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 unique new hire’s onboarding journey.
- Include onboarding mode (fully remote, hybrid, in-person) and department.
- Capture time-to-completion, assessment scores, and first 90-day retention outcome.
- Flag onboarding experiences with technical issues or incomplete modules.
- Include optional feedback/satisfaction rating from new employees.
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-onboarding-success-analytics