ElShift Research uses synthetic scheduling fixtures and verified product behavior. Scenario inputs should be disclosed, customer data should not be required, measured results should be reproducible, and claims should not be generalized beyond what the scenario actually demonstrates.
Use synthetic data by default
Research scenarios should use fictional employees, shifts, locations, and constraints unless there is a specific reason and permission to use another dataset.
Publish the relevant inputs
A useful scenario states the number of employees, shifts, dates, staffing requirements, work patterns, leave, hour limits, locations, and other conditions that materially affect the result.
Separate functional verification from performance benchmarking
A unit or integration test can verify that a scheduling rule behaves as expected. It does not automatically prove that scheduling is faster, cheaper, or better for every organization.
Do not turn one fixture into a universal statistic
If a synthetic scenario fills 100% of its demand, that means the scenario was fully covered under those inputs. It does not mean every ElShift customer will achieve 100% coverage.
Keep a visible verification date
Research pages should be reviewed when scheduling behavior changes so the public explanation continues to match the product.
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