Have you expanded your organization across multiple locations, or are you a client that utilizes external partners that provide outsourcing services? Both have their "cost savings" challenge where cost savings analysis is often a topic well scrutinized. However, in the grand scheme of your organization, is it a metric that really matters? See actual analytics on multiple game projects and why cost savings isn't as important a metric when making informed decisions about project planning for scalable and distributed development. It's all about the Metrics that Matter.
The metrics that matter using scalability metrics for project planning of a distributed workforce dilber mann
1. The Metrics that Matter
Project Planning using Scalability Metrics for Distributed Development
Dilber Mann, Development Director
Relic Entertainment Inc.
2. Overview
• Establishing reliable metrics to help make
informed decisions about organizing a
distributed & scalable workforce.
3. Understanding Content Source
• Context from multiple perspectives
– Publishing / Central Group
– Onsite Partner/Vendor management.
– Studio Development
4. Discussion Points
• Distributed Trends
• Establishing your own system of metrics
• Incorporating scalability metrics
• Discussing Real-World examples.
• Converting your Metrics into KPI’s
5. Identifying the Audience
• Two distinct groups under Distributed Development
1. Consolidated Resource Structure
• scalability through Outsourcing.
• development outsources when needed
2. Distributed Resource Structure
• scalability through distributed workforce.
• development is always distributed.
6. Distributed Trends
• Deciding between Distributed or Consolidated
Organization.
– Option (Distributed) is available when region
has a wide range for cost of living.
– Choice (for both) is driven by cost savings
and scalability needs.
7. External
Partner
Distributed Trends
• Relation between Consolidated &
Distributed Teams
Development
Studio
Location
A
Location
B
Location
C
Location
D
Outsource
9. Distributed Workforce
• Wide Range for cost of living in Asia/Europe
region.
• Tier 0/1: modern and Large Cities
• Tier 2: modern but developing cities
• Tier 3: developing cities
• Tier 4: under developed, but progressively
developing Cities.
10. Distributed Workforce
• How to plan the distribution?
– by using reliable metrics to make
informed decisions.
12. Cost Savings Analysis: Man-Day Rate
Vendor Rate Studio Rate
Avg Studio Man-Day Rate $198.00 $700.00
Mgm Overhead $22.00 $70.00
Man-Day Rate $220.00 $770.00
Vendor Costs Studio Costs
Scope (Man-Days) 2500 2500
Rate * Scope $550,000.00 $1,925,000.00
Vendor Costs Studio Rate
Scope (Man-Days) 2500 2500
Rate * Scope $550,000.00 $1,925,000.00
Studio Support $250,000.00
TOTAL $800,000.00 $1,925,000.00
71% SAVINGS
VENDOR
RATE
STUDIO
RATE
****Rates, scope, costs, and savings listed here are a sample used for comparison and do not reflect specific data used by any studio or external vendor.****
13. Cost Savings Analysis: Scope
Vendor Rate Studio Rate
Avg Studio Man-Day Rate $198.00 $700.00
Mgm Overhead $22.00 $70.00
Man-Day Rate $220.00 $770.00
Vendor Costs Studio Costs
Scope (Man-Days) 2500 2500
Rate * Scope $550,000.00 $1,925,000.00
Vendor Costs Studio Rate
Scope (Man-Days) 2500 2500
Rate * Scope $550,000.00 $1,925,000.00
Studio Support $250,000.00
TOTAL $800,000.00 $1,925,000.00
71% SAVINGS
VENDOR
RATE
STUDIO
RATE
****Rates, scope, costs, and savings listed here are a sample used for comparison and do not reflect specific data used by any studio or external vendor.****
14. Cost Savings Analysis: Studio Support
71% SAVINGS
VENDOR
RATE
STUDIO
RATE
****Rates, scope, costs, and savings listed here are a sample used for comparison and do not reflect specific data used by any studio or external vendor.****
15. Cost Savings Analysis: Studio Support
58% SAVINGS
VENDOR
RATE
STUDIO
STUDIO RATE
SUPPORT
****Rates, scope, costs, and savings listed here are a sample used for comparison and do not reflect specific data used by any studio or external vendor.****
16. Resource Ramp-Up / Down
5% 9% 14% 17% 17% 17% 14% 9% 9%
18%
16%
14%
12%
10%
8%
6%
4%
2%
0%
1 2 3 4 5 6 7 8 9
• Approx. 50% of Manpower spread across 3 months
during peak time.
****Rates, scope, costs, and savings listed here are a sample used for comparison and do not reflect specific data used by any studio or external vendor.****
17. Resource Compression
12% 23% 28% 23% 12% 12%
30%
25%
20%
15%
10%
5%
0%
-5%
• Approx. 50% of
Manpower spread across
2 months during peak
time.
1 2 3 4 5 6 7 8 9
****Rates, scope, costs, and savings listed here are a sample used for comparison and do not reflect specific data used by any studio or external vendor.****
18. Resource Compression
12% 41% 41% 25%
50%
40%
30%
20%
10%
0%
-10%
-20%
• Approx. 50% of Manpower
spread across 1.25 months
during peak time.
• Disclaimer: The sum of Month to Month % of
1 2 3 4 5 6 7 8 9
work may exceed 100% total due to
contingency buffer used for planning.
****Rates, scope, costs, and savings listed here are a sample used for comparison and do not reflect specific data used by any studio or external vendor.****
19. Resource Productivity
• 40 peak resources
• 50% efficient at start
• 80% efficient at peak
Resource Efficiency & Savings
Pilot Month 1 Month 2 Month 3 Month 4 Month 5 Month 6 Month 7
Group 1 50% 70% 80% 80% 80% 80% 80% 80%
Group 2 50% 70% 80% 80% 80% 80%
Group 3 50% 70% 80% 80%
Group 4 50% 70% 80%
****Rates, scope, costs, and savings listed here are a sample used for comparison and do not reflect specific data used by any studio or external vendor.****
20. Importance of Cost Savings
• 35% - 50% Good Range for Cost Savings.
• Is Cost Savings the best decision making metric?
• Is it a metric that speaks to scalability?
21. Building a System of Scalability Metrics
• Man Effort Established
– Internal Man Effort established externally.
• Added Value
– Man Effort added to project.
• Budget Savings
– Look at Internal cost of doing the same scope.
22. Scalability Metrics
****Rates, scope, costs, and savings listed here are a sample used for comparison and do not reflect specific data used by any studio or external vendor.****
23. Case Study
• Improving Performance over time.
– Step 1: Conventional OS
– Step 2: Distributed Development
– Step 3: Dissolving the centralized role
24. Conventional OS
ManEffort Established Added Value Metric Budget Savings Metric
Project A
(Conventional)
19% 8% 13%
Project B
(Distributed Dev)
35% les s s cope than
Project A
Internal
External
24% 7% 19%
Internal
External
Internal
External
Internal
External
Internal
External
Internal
External
25. ManEffort Established Added Value Metric Budget Savings Metric
Distributed Development
Project A
(Conventional)
19% 8% 13%
Project B
(Distributed Dev)
35% les s s cope than
Project A
Internal
External
Internal
External
24% 7% 19%
Project C
(Optimum)
Internal
External
Internal
External
40% 20% 25%
Internal
External
Internal
External
Internal
External
Internal
External
Internal
External
26. Dissolving the OS role
Project B
(Distributed Dev)
35% les s s cope than
Project A
24% 7% 19%
Project C
(Optimum)
Internal
External
Internal
External
40% 20% 25%
Internal
External
Internal
External
Internal
External
Internal
External
27. Converting Metrics into KPI’s
• Why?
– Keep track of your planned goals.
• How?
• Continue to update your data.
– (planned & actuals).
• Convert Metrics into KPI’s.
28. Converting Metrics into KPI’s
• KPI’s (Key Performance Indicators)
– Metrics scaled to a 0 – 100% range.
• +100% Out performing
• 75% - 100% Normal Performance
• >50% or <75%
• <=50% Need Escalation
– Easy for multiple stakeholders to interpret.
29. Converting Metrics into KPI’s
• 20% Added Value Metric (Max Threshold)
– 20% x 5 (Multiplier) = 100% KPI
• 25% Budget Savings Metric (Max Threshold)
– 25% x 4 (Multiplier) = 100% KPI
• 40% Man-Effort Metric (Max Threshold)
– 40% x 2.5 (Multiplier) = 100% KPI
30. Converting Metrics into KPI’s
ManEffort Established Added Value Metric Budget Savings Metric
Project A
(Conventional) 47% 38% 54%
Project B
(Distributed Dev)
35% les s s cope than
Project A
59% 33% 76%
Project C
(Optimum) 100% 100% 100%
31. Our Purpose
• To establish reliable metrics that can help us
make informed decisions about how we
plan our distributed workforce.
32. Summary
• Distributed Trends
– Manage the impact of idle/burn rate by using Lower Tier/Cost locations.
– Maintain consistent man-day rates by creating balanced distributed teams.
– Identify reliable metrics to plan the distribution of resources.
• Cost Savings Analysis
– Include Scalable Management & Studio Support.
– Know that Schedule Compression has an impact.
• Decision Making KPI’s
– Know what your KPI’s are telling you.
– Agree as an organization on the KPI goals.
– Track KPI’s throughout production.
Step 1: Conventional OS
-the approach that many distributed workforce organizations will start with.
-the same applies to Clients/Studios that Outsource.
-difficult to scale, as the artist have little context to how assets will work in game. (limits the type of work that can be sent to a distributed team)
Step 2: Distributed Development
-Best results when the working processes, tools, and pipelines of the core team are accessible to the distributed team.
Step 3: Dissolving the Centralized role
-typically considered an Outsource manager Role.
-In order to scale, one manager cannot handle the scope of assets on their own.
-delegate the responsibility to the lead management at your core location so they are in direct contact with their scalable teams.
-applies to the OS role for the studio that uses outsourcing for scale.
For the Consolidated Organization that outsources for scalability, the possibility of their external partners trending towards organizing themselves as a distributed workforce are quite high.
And for those of you in the process of managing their organization as a distributed workforce, the scalability metrics I have introduced here is an option for you to make logical decisions about balancing your distributed team across multiple locations and keep rates competitive for yourselves and your clients.