Human Resources
18 columns
75 rows
8 formats

HR Sustainability Engagement Survey Results

This dataset provides detailed records of employee engagement and feedback in corporate sustainability initiatives, including participation metrics, engagement scores, and open-ended suggestions. It enables organizations to monitor workforce involvement in ESG programs, assess the effectiveness of sustainability efforts, and identify opportunities for improvement in alignment with climate and social responsibility goals.

last updated 29 Dec 2025
by GoMask

The brief that made it

Measuring employee engagement in sustainability and ESG initiatives

Sample rows

preview · 8 of 75 rows · all 18 columns

response_idstring	participation_typestring	participation_hoursfloat	awareness_of_esg_goalsboolean	location_statestring	employee_idstring	departmentstring	location_citystring	location_countrystring	job_levelstring	survey_datedate	initiative_participatedstring	engagement_scorefloat	initiative_impact_scorefloat	feedback_textstring	would_recommend_initiativeboolean	improvement_suggestionsstring	esg_training_completedboolean
SRV-0001	Attendee	1.5	true	IL	E-2034	Finance	Chicago	USA	Staff	2024-03-05	Paperless Office Campaign	4.3	4	Great initiative, helped reduce paper usage.	true	More digital training sessions.	true
SRV-0002	Volunteer	4	true	MA	E-1987	Human Resources	Boston	USA	Manager	2024-03-06	Local Tree Planting	4.8	5	Loved being outside and helping the community.	true	Schedule more events in spring.	true
SRV-0003	Organizer	8	true	CA	E-2201	Sales	San Francisco	USA	Director	2024-03-07	Water Conservation Challenge	5	4.7	Proud to lead the initiative.	true	Expand to more offices.	true
SRV-0004	Attendee	2	false	TX	E-2145	IT	Austin	USA	Staff	2024-03-08	E-Waste Recycling Day	3.7	3.5	Could use more publicity.	true	Advertise with posters.	false
SRV-0005	Donor	0.5	true	ON	E-2109	Marketing	Toronto	Canada	Manager	2024-03-08	Sustainable Commuting Week	4.1	3.8	Good cause, would join next time.	true	Offer incentives for biking.	false
SRV-0006	Organizer	7.5	true	London	E-2023	Operations	London	UK	Staff	2024-03-09	Green Office Certification	4.9	4.9	Teamwork made it successful.	true	Share best practices.	true
SRV-0007	Volunteer	5	true	NY	E-2153	Legal	New York	USA	Director	2024-03-09	Community Clean-up	4.6	4.3	Engaging experience.	true	Partner with local NGOs.	true
SRV-0008	Attendee	1	true	London	E-2023	Operations	London	UK	Staff	2024-03-10	Office Waste Reduction	3.9	3.6	Informative session.	true	Provide recycling bins.	true
SRV-0009	Organizer	6	true	TX	E-2145	IT	Austin	USA	Staff	2024-03-11	Solar Panel Installation	4.7	4.8	Impressive results.	true	Educate employees on benefits.	false
SRV-0010	Volunteer	3.5	true	Berlin	E-2100	Finance	Berlin	Germany	Staff	2024-03-12	Bike-to-Work Day	4.2	4	Fun and healthy.	true	More secure bike storage.	false
SRV-0011	Donor	0.7	false	ON	E-2052	Marketing	Toronto	Canada	Staff	2024-03-12	Charity Fundraiser	3.5	3.2	Could be better organized.	false	Improve event logistics.	false
SRV-0012	Attendee	2.5	true	CA	E-2007	Sales	San Francisco	USA	Manager	2024-03-12	Remote Work Sustainability	4	4.1	Reduced commute, more efficient.	true	Provide home office tips.	false
SRV-0013	Volunteer	3	true	IL	E-2034	Finance	Chicago	USA	Staff	2024-03-14	Green Office Certification	4.4	4.5	Enjoyed working with the team.	true	More regular certifications.	true
SRV-0014	Organizer	6.5	true	CA	E-2201	Sales	San Francisco	USA	Director	2024-03-15	Sustainable Commuting Week	4.8	4.9	Very successful event.	true	Expand to more cities.	true
SRV-0015	Donor	1	true	ON	E-2109	Marketing	Toronto	Canada	Manager	2024-03-16	Community Clean-up	3.8	3.7	Happy to contribute.	true	Share statistics post-event.	false
SRV-0016	Organizer	7	true	NY	E-2153	Legal	New York	USA	Director	2024-03-17	E-Waste Recycling Day	4.5	4.2	Good participation.	true	Provide more drop-off locations.	true
SRV-0017	Volunteer	4.8	true	Berlin	E-2100	Finance	Berlin	Germany	Staff	2024-03-17	Local Tree Planting	4.7	4.6	Well organized event.	true	Invite local schools.	false
SRV-0018	Attendee	1.2	false	ON	E-2052	Marketing	Toronto	Canada	Staff	2024-03-18	Office Waste Reduction	3.9	3.7	Could be more interactive.	false	Gamify the program.	false
SRV-0019	Other	2	false	TX	E-2145	IT	Austin	USA	Staff	2024-03-19	Remote Work Sustainability	2.8	2.5	Participated as remote mentor for new hires.	false	Provide better guidelines.	false
SRV-0020	Attendee	1.1	true	CA	E-2007	Sales	San Francisco	USA	Manager	2024-03-19	Solar Panel Installation	3.9	4	Impressive technology.	true	More technical details.	true

What the 75 rows show

from the 75-row sample

Organizer (participation type) stands out: mean participation_hours is 6.7, against 2.5 for the rest.

80%awareness_of_esg_goals = true
3.0median participation_hours
3job levels
8departments
8location countries
19initiative participateds

Mean participation_hours by participation_type75 rows

participation_hours75 rows, in bands of 1

Median 3.0, from 0.50 to 8.0.

location_state60 rows with a value · 15 left blank

CA12
ON10
TX7
NY6
IL4
London4
Berlin4
MA2
QC2
England1

18 columns by typefrom the column list below

string 11
float 3
date 1
boolean 3

Columns

18 columns in four groups

blueprint · 18 columns
column	type	description	example
Text 11 columns
`response_id`	string	Unique identifier for each survey responseunique	SRV-0001
`employee_id`	string	Unique identifier for the employee submitting the survey	E-2034
`department`	string	Department or business unit of the employee8 departments	Finance
`location_city`	string	City where the employee is basedoptional	Chicago
`location_state`	string	State or region where the employee is basedoptional	IL
`location_country`	string	Country where the employee is based8 countries	USA
`job_level`	string	Employee's job level or role (e.g., Staff, Manager, Director)3 levels · optional	Staff
`initiative_participated`	string	Name of the sustainability initiative the employee participated in	Local Tree Planting
`participation_type`	string	Type of participation (e.g., Volunteer, Attendee, Organizer, Donor)Volunteer · Attendee · Organizer · Donor · Other · optional	Attendee
`feedback_text`	string	Open-ended employee feedback or suggestionsoptional	Engaging experience.
`improvement_suggestions`	string	Employee suggestions for improving sustainability programsoptional	Expand to more offices.
Numbers 3 columns
`participation_hours`	float	Number of hours the employee participated in the initiative0 or more · optional	1.5
`engagement_score`	float	Employee's self-reported engagement level (e.g., 1-5 scale)1 to 5	4.3
`initiative_impact_score`	float	Employee's rating of the initiative's impact (e.g., 1-5 scale)1 to 5 · optional	4
Dates and times 1 column
`survey_date`	date	Date the survey was completed	2024-03-05
True or false 3 columns
`awareness_of_esg_goals`	boolean	Whether the employee is aware of the organization's ESG goals	true
`would_recommend_initiative`	boolean	Whether the employee would recommend the initiative to othersoptional	true
`esg_training_completed`	boolean	Whether the employee has completed ESG-related trainingoptional	true

Use it for

A human resources dashboard
The awareness_of_esg_goals rate, participation_hours by participation_type and a breakdown of location_state. Excel, Power BI or Tableau.
Why do the 17 Organizer rows have a mean participation_hours of 6.7?
A root-cause class exercise
Hand out the rows and one question. The answer is in the data, not in the brief.
Responses75
SRV-00011.5Attendee
SRV-00024Volunteer
SRV-00042Attendee
A software demo
Believable responses with employee_id, department and location_city to fill a screen in front of a buyer.

This dataset75 rows18 columns

Yours1,000 rows18 columnslocation_city: UK only

blueprint · hr-sustainability-engagement-survey-results

Behind this dataset

Same schema. As many rows as you need.

These 75 rows came out of a blueprint — 18 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 survey submission.
Responses include participation history, initiative awareness, and suggestions.
Survey fields include both quantitative (scale) and qualitative (open-ended) answers.
Employee data is anonymized and categorized by department.
Include engagement score calculated from multiple response metrics.

Rows1,000 rows10,000 rows100,000 rows1,000,000 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: hr-sustainability-engagement-survey-results

What should your data show?

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Sample rows

What the 75 rows show

Columns

Use it for

A human resources dashboard

A root-cause class exercise

A software demo

Make it yours.

Same schema. As many rows as you need.

More in Human Resources

What should your data show?