Tycho Brahe Museum

How a seasonal museum improved fairness and transparency in summer scheduling.

Case study

Tycho Brahe Museum: Fair staffing through a high-intensity summer season

On Ven, every summer week matters. The museum needed planning that handles shifting availability, staggered start dates, and strict fairness expectations.

Ven, SwedenSummer season operationsTina Jönsson · Museum Manager
Placeholder for main photo from Tycho Brahe Museum
Image slot 1: Exterior or museum environment

Tycho Brahe Museum operates with strong seasonality. During summer, the team scales up with many seasonal workers, often students, together with extra workers such as pensioners and enthusiasts.

At the same time, the permanent team is small, usually one or two employees. That makes scheduling quality a key operational capability, not an administrative detail.

The planning challenge

Staffing had to account for known absences, exam periods, and different feasible start dates. Manual spreadsheet planning offered limited traceability and made it hard to explain why some workers received more hours than others.

What had to be handled each season

  • Seasonal workers with changing week-by-week availability.
  • Students unable to start on the same date due to exams.
  • Extra workers available only on selected days or time windows.
  • A fairness requirement for hour distribution because summer wages are essential income for many workers.

How Schedulyn was used

1. Demand and team setup

The museum entered staffing demand by week and shift, together with the full worker roster.

2. Constraints and conditions added

Known absences, availability limits, and mandatory assignments were captured directly in the plan.

3. Schedule calculated and refined

Schedulyn generated an optimized baseline schedule that could be adjusted quickly when conditions changed.

Placeholder for team or planning photo from Tycho Brahe Museum
Image slot 2: Team at work or planning context
"For many seasonal workers, this is their main income during summer. Fair distribution of hours is essential."
"We can account for exam periods and known absences from day one, without losing transparency or speed."

Operational outcomes

  • Less time from demand planning to a working schedule.
  • Clearer reasoning behind hour allocation across workers.
  • Reduced manual rework when availability changes.
  • Higher transparency for both management and seasonal staff.