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HRIS test data

Your test data is going to embarrass you.

Twelve tidy rows in a CSV nobody has touched since 2023 won't find the bug. Your customer will. They have 4,000 employees, a reorg, and a guy who was rehired twice.

Take a sample apart first
… employees generated this month Free to 1,000 employees 55 fields

Download starting. That one is a fixed sample. Every file you generate is built to your specs: your industry, your headcount, your seed. Free accounts get 5 datasets every 3 months, up to 1,000 employees.

employee_id  EMP-0007412
job_titleSenior Software Engineer
departmentEngineering
hierarchy_levelIC
manager_idEMP-0002185
grade_codeG10
annual_base_pay145,000
compa_ratio1.02
performance_rating4
flsa_statusEXEMPT
hire_date2021-03-15
remote_statusHybrid
cost_centerENG-CA-042
1 of 1,000 · 43 more fields v1-technology-1000-w4a7ee4vorvhent7pq
50,000
Employees per generation
55
Fields per employee
36
Months of event history
25
Countries supported
The fixture problem

Three things your fixture can't do

Every one of them is where integrations actually break.

01

It has no history

Nobody in your file was ever promoted, terminated, rehired, or given a raise mid-year. Generate 36 months of event history, with one coherent pay chain per person.

02

It has no gaps

Every HR system withholds something different. Pick the one you sync with. 72 vendors are mapped, and the columns it doesn't support aren't in the file at all.

03

It can't scale

Fifty employees tests a startup. Generate up to 50,000 with real reporting chains, and pass a seed for byte-identical data every run, so committed fixtures never rot.

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A row from a real file

What a row actually looks like

Salaries that match the title. Titles that match the industry. Managers who exist.

# name job_title department salary location hire_date
1 Sarah Johnson Senior Software Engineer Engineering $145,000 San Francisco, CA 2021-03-15
2 Michael Chen Product Manager Product $132,000 Austin, TX 2020-08-22
3 Emily Rodriguez Marketing Director Marketing $128,500 New York, NY 2019-11-10
4 James Williams Data Analyst Analytics $95,000 Boston, MA 2022-01-18
5 Amanda Taylor HR Business Partner Human Resources $105,000 Denver, CO 2021-07-05
Plus 48 more fields employee_id manager_id job_level performance_rating remote_status cost_center compa_ratio bonus_target …and 40 more
No signup required

Take one apart before you sign up for anything

Retail, hospitality or manufacturing. 100 employees each, generated by the same pipeline you'd be using.

See all samples →
3 curated samples
55 fields each
CSV instantly, no email
Charts if you'd rather look first
Pick your week

Two ways this goes wrong

One of these is happening to you right now.

Developers & QA

It passed CI and broke in week one

Your fixture is polite.

Everyone is active, everyone has a manager, nobody ever left. The first customer with a reorg finds the row you never tested.

  • Event history for time-series and sync testing
  • Vendor-shaped exports, missing fields included
  • Seeded runs you can assert against
  • Load testing with real reporting chains
  • Staging data with zero compliance exposure
See it for testing →
Sales & demos

Your prospect has seen "Test User" before

They've also seen three people earning exactly $50,000.

If the data on the screen looks fake, they start wondering what else is. Your product stops being the thing they're evaluating.

  • Names, titles and salaries that hold up on a screen share
  • Matched to your prospect's industry and size
  • Fresh data for every demo
  • Safe to leave in a shared environment
  • 25 countries for global prospects
See it for demos →
The alternative

The other option is worse

Copying production HR data into staging isn't a test strategy. It's an incident with a delay on it.

Masking real employee files

  • You upload real employee records
  • Protection depends on the masking holding
  • Re-identification stays possible
  • Every upload is a compliance question
  • Your vendor needs SOC2 verification

Generating from scratch

  • Nothing real ever leaves your building
  • No PII to protect, because there is none
  • Nothing to re-identify
  • Nothing to review
  • Built on 20 years of HRIS work
You will not find an easier to use HRIS data generator.

Synthetic HRIS has been a crucial resource for us. The data really allows us to show real life use cases for our products and is great for use in testing out new features and functionality. You will not find an easier to use HRIS data generator that produces consistently accurate results in basically no time.

CEO, WageTheory Consulting

Go find the row you never tested

Free, up to 1,000 employees. Use code EEDATAROCKS26 for 3 free generations.

Generate a company Look at a sample instead