CUSTOMER STORY

How Hege from Acapedia filled a record number of shifts per month using Globus

Globus makes staffing fast and effortless – I can focus on helping candidates instead of chasing shifts.
Hege Hasla,
Staffing Consultant, Acapedia
Industry
Education & Childcare Staffing
Location
Oslo, Norway
120
%
Increase in daily placements with Globus
100
%
Placements supported by Globus daily
100
%
Shifts handled via Globus (6 months)
Since joining Acapedia in November 2021, staffing consultant Hege Hasla has sent out over 14,400 shifts in just six months. Last month alone she placed on average 35 people into roles every day. Her impressive results using Globus earned her the Globus Hero award.

The Challenge

Before Globus, staffing in kindergartens was highly manual:

  • Orders and candidate information had to be created and followed up individually.
  • Cancellations (e.g. sick leave) required quick manual calls to replacements.
  • Collaborating across the team was slower, especially when colleagues were away.

Hege also transitioned from being a kindergarten teacher to staffing consultant, which meant she had to quickly adapt to a completely different way of working.

The Solution

With Globus Staffing

  • Creates and manages orders directly in the system, accessible to all colleagues.
  • Uses availability requests and conflict checking to avoid double bookings.
  • Benefits from smart matching, including distance-based suggestions for candidates living near kindergartens.
  • Automatically shares all relevant information with candidates (where, when, which department).

Globus also enables Hege to work flexibly – managing orders from home or on her phone during commutes.

“When I started at Acapedia I got familiar with Globus very quickly, it was such an easy system to get started with. Things ran by themselves, I simply had to add shifts and Globus would help me find the right people.”

Results

  • 14,400 shifts sent out in just 6 months.
  • 35 placements per day on average (up from ~25 earlier).
  • A candidate who started part-time through Acapedia was recently hired full-time by a kindergarten – an example of Globus supporting long-term career matches.
  • Clear team collaboration: colleagues can easily pick up each other’s orders.
  • Hege estimates without Globus she would place only 2–3 candidates a day instead of 35.
“If I didn’t have Globus, I would not have been able to place 35 candidates on average every day. I would have managed 2 or 3. It would be very time-consuming and we would experience a dip in both revenue and placements.”

User Experience

Daily Routine
  • Phone calls start at 7am – orders are immediately created in Globus.
  • Sick leave is registered → replacements found instantly in Globus.
  • Information is transparent, so if colleagues are away, others can continue the work seamlessly.
Candidate Experience
  • Candidates receive full information automatically, saving time for both recruiters and candidates.
  • Flexible contracts allow students and those impacted by Covid-19 to adapt their work.
  • Candidates can try shifts before committing to full-time, ensuring better long-term fits.
System Features Highlighted
  • Availability requests
  • Conflict checking (avoids double booking)
  • Link tracking (see if candidates/customers have opened links)
  • Distance-based matching
“It’s extremely efficient to use, I got the hang of Globus after just a few orders. Other systems are a lot more manual and slower. With Globus we can respond faster, make more placements, and keep both customers and candidates happy.”

FAQ

Q: What results has Hege achieved with Globus?
A: Over 14,400 shifts in 6 months, and an average of 35 placements per day.

Q: What are the top three benefits of Globus?
A: Efficiency, speed in responding to job orders, and improved collaboration across the team.

Q: How do candidates benefit from Globus?
A: They receive all shift information automatically, can try out roles flexibly, and sometimes move on to full-time employment.

Q: What would happen without Globus?
A: Daily placements would drop from ~35 to just 2–3, with a negative impact on revenue and team collaboration.