Healthcare
15 columns
200 rows
8 formats

Healthcare Provider Satisfaction Surveys

This dataset aggregates healthcare provider responses to workplace satisfaction surveys, capturing engagement, satisfaction, burnout risk, and key demographics across departments and roles. It enables in-depth HR analytics, provider retention modeling, and organizational benchmarking to improve workforce well-being and reduce turnover.

last updated 29 Jul 2025
by GoMask

The brief that made it

Predicting and preventing provider turnover through retention modeling

Sample rows

preview · 8 of 200 rows · all 15 columns

survey_idstring	provider_rolestring	ageinteger	intends_to_leaveboolean	genderstring	provider_idstring	departmentstring	locationstring	survey_datedate	engagement_scorefloat	satisfaction_scorefloat	burnout_risk_scorefloat	years_at_organizationfloat	work_hours_per_weekfloat	commentsstring
SURV-00001	Nurse	29	false	Female	PROV-1001	Emergency	Central Hospital	2022-05-07	4.8	4.6	0.08	2.1	40	Great teamwork and supportive leadership.
SURV-00002	Physician	42	false	Male	PROV-1002	Surgery	Eastside Medical Center	2023-01-15	3.3	3.2	0.36	7.5	55	Workload is manageable, but some days are challenging.
SURV-00003	Nurse Practitioner	36	false	Female	PROV-1003	Cardiology	Greenwood Clinic	2023-04-22	4.1	4.3	0.12	5.2	44	Support from my colleagues has been fantastic.
SURV-00004	Technician	28	true	Male	PROV-1004	Radiology	Downtown Health Center	2022-11-09	1.9	2	0.77	3	62	Heavy workload and frequent overtime are exhausting.
SURV-00005	Physician Assistant	27	false	Female	PROV-1005	Pediatrics	Sunrise Family Clinic	2024-02-18	4.7	4.9	0.05	1.6	38	I love working with children and my team is amazing.
SURV-00006	Nurse	31	true	Male	PROV-1006	Oncology	Lakeside Medical Institute	2022-06-03	2.2	2	0.85	4.7	58	Constant staffing shortages are leading to burnout.
SURV-00007	Therapist	39	false	Female	PROV-1007	Physical Therapy	Westview Rehabilitation Center	2023-11-10	4.3	4.5	0.09	9	40	I find my work fulfilling and my hours are reasonable.
SURV-00008	Technician	26	true	Non-binary	PROV-1008	Laboratory	Southside Hospital	2022-09-13	2.7	2.9	0.64	1.2	54	Long hours and minimal recognition have been tough.
SURV-00009	Physician	52	false	Male	PROV-1009	ICU	Main City Medical Center	2024-01-28	4.6	4.7	0.02	15.4	42	Leadership values provider input.
SURV-00010	Nurse	24	false	Female	PROV-1010	Neonatal	Harborview Children's Hospital	2023-03-05	4.2	4.4	0.11	0.8	36	As a new nurse, I've received great mentorship.
SURV-00011	Other	40	false	Male	PROV-1011	Research	Innovate Health Center	2022-07-19	3.8	3.9	0.19	7	40	Research team is collaborative and innovative.
SURV-00012	Physician	48	true	Female	PROV-1012	Dermatology	Northwest Medical Pavilion	2023-10-02	2.6	2.7	0.61	10.2	65	Burnout is real due to high patient volume.
SURV-00013	Nurse Practitioner	44	false	Female	PROV-1013	Primary Care	Evergreen Health Center	2022-12-22	4.5	4.8	0.07	11.6	39	I appreciate the flexibility and supportive staff.
SURV-00014	Technician	23	true	Male	PROV-1014	Pathology	Westgate Hospital	2023-07-21	1.7	1.8	0.89	0.9	60	The hours are long, and I feel undervalued.
SURV-00015	Therapist	34	false	Other	PROV-1015	Mental Health	Mindful Wellness Center	2024-03-08	4.9	5	0	3.5	40	I find deep meaning in helping my patients.
SURV-00016	Nurse	26	true	Female	PROV-1016	ICU	Uptown Medical Center	2022-08-14	2.3	2.1	0.83	2.3	68	The shift schedule is overwhelming.
SURV-00017	Physician Assistant	38	false	Male	PROV-1017	Orthopedics	Summit Medical Plaza	2023-06-10	4.3	4.1	0.15	6.7	48	Strong mentorship and growth opportunities.
SURV-00018	Other	45	false	Prefer not to say	PROV-1018	Administrative	Metro Health Institute	2022-10-18	3.5	3.3	0.41	8.4	40	The work is steady and the team is reliable.
SURV-00019	Physician	65	false	Male	PROV-1019	Neurology	Central Hospital	2022-12-29	5	5	0	21	38	I am grateful for a long and fulfilling career.
SURV-00020	Nurse	28	false	Female	PROV-1020	Geriatrics	Silver Oaks Clinic	2023-09-03	4.4	4.5	0.09	1.1	37	I find meaning in caring for older adults.

What the 200 rows show

from the 200-row sample

Physician (provider role) stands out: mean age is 49.4, against 34.1 for the rest.

28%intends_to_leave = true
35median age
3.6median engagement_score
3.7median satisfaction_score
0.27median burnout_risk_score
5.4median years_at_organization

Mean age by provider_role200 rows

age200 rows, in bands of 10

Median 35, from 18 to 70.

gender200 rows · 5 values

Female104
Male69
Other13
Prefer not to say9
Non-binary5

15 columns by typefrom the column list below

string 7
integer 1
float 5
date 1
boolean 1

Columns

15 columns in four groups

blueprint · 15 columns
column	type	description	example
Text 7 columns
`survey_id`	string	Unique identifier for each completed provider satisfaction survey response.unique	SURV-00001
`provider_id`	string	Unique identifier for the healthcare provider who completed the survey.	PROV-1001
`provider_role`	string	Role or job title of the provider (e.g., Physician, Nurse, Physician Assistant).7 values	Nurse
`department`	string	Department or unit where the provider primarily works (e.g., Emergency, Pediatrics, Surgery).	Emergency
`location`	string	Facility or site name where the provider works.optional	Central Hospital
`comments`	string	Optional free-text comments provided by the respondent regarding their experience.optional	Great teamwork and suppor…
`gender`	string	Gender of the provider (if collected).Male · Female · Non-binary · Prefer not to say · Other · optional	Female
Numbers 6 columns
`engagement_score`	float	Aggregated engagement score (e.g., 1-5 scale) reflecting provider's workplace engagement.1 to 5	4.8
`satisfaction_score`	float	Aggregated satisfaction score (e.g., 1-5 scale) reflecting provider's overall job satisfaction.1 to 5	4.6
`burnout_risk_score`	float	Burnout risk score (e.g., 0-1 or 0-100 scale) indicating likelihood of provider burnout.0 to 1	0.08
`years_at_organization`	float	Number of years the provider has been employed at the current organization.0 or more · optional	2.1
`work_hours_per_week`	float	Average number of hours worked per week by the provider.0 or more · optional	40
`age`	integer	Age of the provider at the time of survey.18 to 100 · optional	29
Dates and times 1 column
`survey_date`	date	Date when the survey was completed.	2022-05-07
True or false 1 column
`intends_to_leave`	boolean	Indicates if the provider intends to leave their current position within the next year.optional	false

Use it for

A healthcare dashboard
The intends_to_leave rate, age by provider_role and a breakdown of gender. Excel, Power BI or Tableau.
Why do the 38 Physician rows have a mean age of 49.4?
A root-cause class exercise
Hand out the rows and one question. The answer is in the data, not in the brief.
Surveys200
SURV-0000129Nurse
SURV-0000428Technici…
SURV-0000631Nurse
A software demo
Believable surveys with provider_id, provider_role and department to fill a screen in front of a buyer.

This dataset200 rows15 columns

Yours1,000 rows15 columnslocation: UK only

blueprint · healthcare-provider-satisfaction-surveys

Behind this dataset

Same schema. As many rows as you need.

These 200 rows came out of a blueprint — 15 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

Responses anonymized per provider
Satisfaction scores on 1-10 scale
Burnout risk categorized by industry standard
Department and shift information included

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: healthcare-provider-satisfaction-surveys

What should your data show?

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Sample rows

What the 200 rows show

Columns

Use it for

A healthcare dashboard

A root-cause class exercise

A software demo

Make it yours.

Same schema. As many rows as you need.

More in Healthcare

What should your data show?