www.optimice.com.au 1
Scenario – Who are moving in?
• Organisation with thousands of employees is undertaking a company-wi...
www.optimice.com.au 2
Traditional Stacking Problem
Problem with traditional
stacking approach:
• Observation-based
approac...
www.optimice.com.au 3
How do we address this?
• Very short survey (average 5 min to complete) to all relevant employees
– ...
www.optimice.com.au 4
What does it looks like?
North Bank
Where staff are currently
located
Total number
of people
include...
www.optimice.com.au 5
What does it looks like?
North Bank
Placement in
new building
New BU emerges on
map. BU Area 54 has ...
www.optimice.com.au 6
What does it looks like?
North Bank
No collaboration links, so
no constraints re
location
No collabo...
www.optimice.com.au 7
What does it looks like?
North Bank
More BUs emerge
www.optimice.com.au 8
What does it looks like?
North Bank
More BUs emerge
www.optimice.com.au 9
What does it looks like?
North Bank
More BUs emerge
www.optimice.com.au 10
What does it looks like?
North Bank
More BUs emerge
www.optimice.com.au 11
Benefits
• Data-driven approach results in better decision making
• Better ability to engage busine...
www.optimice.com.au 12
Contact
Optimice: Cai Kjaer
cai.kjaer@optimice.com.au
www.optimice.com.au
Our Partners
dwp|Suters: ...
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Workplace Strategy with Social Network Analysis

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How do you best allocate people to place in an office building? How do you work out who works with who?

We use Social Network Analysis to uncover the invisible collaboration patterns between employees to make evidence-based recommendations on stacking.

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Workplace Strategy with Social Network Analysis

  1. 1. www.optimice.com.au 1 Scenario – Who are moving in? • Organisation with thousands of employees is undertaking a company-wide workplace strategy initiative • As a part of the initiative the HQ being refurbished and a shift to activity-based working is introduced • New HQ will cater for 2,800 employees. Who should move in?
  2. 2. www.optimice.com.au 2 Traditional Stacking Problem Problem with traditional stacking approach: • Observation-based approaches • Resource intensive • Don’t know who works with who • Don’t know interfaces to people in other buildings • Decisions are therefore often biased and lack evidence/data
  3. 3. www.optimice.com.au 3 How do we address this? • Very short survey (average 5 min to complete) to all relevant employees – “Who are the top 10 people you collaborate with to do your job?” – “How importance are they?” (High, Medium Low) – “Would close(r) physical proximity help do your job better?”
  4. 4. www.optimice.com.au 4 What does it looks like? North Bank Where staff are currently located Total number of people included on map Placement in new building Circles are Business Units Size = # staff Line = Collaboration BUArea 40 has 112 staff We move slider to uncover next layer of collaborative relationships Placement in new building See interactive map at www.optimice.com.au/buildingdesign.php
  5. 5. www.optimice.com.au 5 What does it looks like? North Bank Placement in new building New BU emerges on map. BU Area 54 has 113 staffPlacement in new building We now have 462 people in the building
  6. 6. www.optimice.com.au 6 What does it looks like? North Bank No collaboration links, so no constraints re location No collaboration links, so no constraints re location More BUs emerge
  7. 7. www.optimice.com.au 7 What does it looks like? North Bank More BUs emerge
  8. 8. www.optimice.com.au 8 What does it looks like? North Bank More BUs emerge
  9. 9. www.optimice.com.au 9 What does it looks like? North Bank More BUs emerge
  10. 10. www.optimice.com.au 10 What does it looks like? North Bank More BUs emerge
  11. 11. www.optimice.com.au 11 Benefits • Data-driven approach results in better decision making • Better ability to engage business representatives and explain reason for proposed placement • Much fasterthan traditional interview process • Draw on input from all staff rather than a selected few
  12. 12. www.optimice.com.au 12 Contact Optimice: Cai Kjaer cai.kjaer@optimice.com.au www.optimice.com.au Our Partners dwp|Suters: Leone Lorrimer l.lorrimer@dwpsuters.com.au www.dwpsuters.com.au Lend Lease: Natalie Slessor natalie.slessor@lendlease.com www.lendlease.com

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