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Ef
fi
cient Teams Do Not Happen.


They are Designed.


It's called DesignOps
Patrizia Bertini
Associate Director of Design Operations
pat.bertini@BabylonHealth.com @Legoviews
1
Contacts:

e-Mail: pat.bertini@BabylonHealth.com 

Twitter: @Legoviews
3 things about me
Curious

Non-linear (but fun) career!

Love experimenting!

NB. Opinions are my own and not the views of my employer!



NB2. But we are hiring!
P/Bertini @ UXDX 2021
Chapter 1: What is DesignOps
What is DesignOps and why do we need it?
3
Design is not just
what it looks like and
feels like, design is
how it works.

(Steve Jobs)
Design is all about
fi
nding solutions within
constraints. If there
were no constraints, it’s
not design — it’s art.



Matias Duarte, VP of Design at
Google
4
P/Bertini @ UXDX 2021
Operations transform
resource or data inputs
into desired goods,
services, or results,
and create and deliver
value to the customers.
5
P/Bertini @ UXDX 2021
Source: Business Dictionary.
DesignOps’ customers
Every and each DesignOps
action is a balancing act to
deliver value one or multiple
stakeholders by enabling
efficiencies and identifying
endemic inefficiencies.
The Design Teams
The Design Leader
The Business
6
P/Bertini @ UXDX 2021
DesignOps’ areas of intervention
Business Operation:
● Budget management / spending optimisation

● Spending policy overview

● E2E procurement and 3PRM management

● Contract negotiations

● Vendors’ onboarding + 3P Risk assessment

● Spending ROI calculation

● Tools’ ROI / impact assessment

● Resource asks assessment (tools + people)
● CW/FTE sequencing
Workflow & Design Operation:
● E2E Design process optimisation

● Tools’ ecosystem management

● Tools’ onboarding / off-boarding

● X-functional collaboration optimisation

● Design System management

● Data Governance

● Participant sourcing process management

● Research & Design asset management

● Design Standards
People Operation:
● Career path definition

● Skill Matrix / Team composition assessment

● Development programmes and team trainings

● Teams culture

● Knowledge & experience sharing

● Streamline ubiquitous x-functional collaboration

● Onboarding/off-boarding

● Internal communication

● Change Management

● Engagement models

● Hiring / job spec / tasks review 7
P/Bertini @ UXDX 2021
Chapter 2: DesignOps pillars
How does DesignOps work and what are the
bene
fi
ts?
8
P/Bertini @ UXDX 2021
DesignOps’ impact: E
ffi
cacy & E
ffi
ciency
Efficiency
● Do things in the right way
● Focus on processes

Example metrics:

● Tools’ ROI (Cost/Engagement/
Adoption)

● Testing and prototyping lead time
(Time) 

● Number and type of quality reviews

● Team productivity (Resources
utilisation) 

● E2E delivery time (Time)

Efficacy
● Do the right things
● Focus on behaviours
Example metrics:

● Empathy and ongoing user engagement 

● Ideation and experimentation cycle times 

● Composition of teams’ skills (skill matrix)

● Design skills’ distribution

● Perceived value of design by cross-functional
partners 

● Designers’ satisfaction and retention
9
P/Bertini @ UXDX 2021
E
ffi
ciency is not a
qualitative and subjective
estimate and it is not
measured by adjectives
or any verbal descriptors.
E
ffi
ciency is quanti
fi
able and
it is measured by numbers,
percentages, and ratios that
provide an objective
measurement of the impact
and results though percent
variations and relative delta.
10
P/Bertini @ UXDX 2021
Team’s e
ffi
ciency today
We know designers spend time doing non-
design tasks.

But do you know how much time is
your team spending in mundane
tasks?
60% of the time is spent doing
non-design work [Source: Workfront 2020]

11
P/Bertini @ UXDX 2021
2 hours and 53 minutes.
The average UK office worker is only
productive for 2 hours and 53 minutes
out of the working day according to a
recent study.

[Source: Voucherclub 2020]
12
P/Bertini @ UXDX 2021
Some inef
fi
ciencies are invisible
but have tangible effects on
design teams’ productivity
Usual causes:
• Inconsistent E2E ways
of working

• Poor x-functional
collaboration 

• Inconsistent tools’
usage

• Inconsistent templates

• Lack of processes

• Poor engagement
models
13
P/Bertini @ UXDX 2021
Impact:

• Long working hours

• High rate of re-work

• Delays 

• Poor quality of
outcome

• High team churn

• Low level of
engagement
Chapter 3: Case studies
How can DesignOps bring e
ffi
ciencies to your
team?
14
P/Bertini @ UXDX 2021
Improving Ef
fi
ciency Improving Designer’s experience
Confidential | Do not distribute 15
The perceived problem:




Designers felt overwhelmed:
too much work, long hours
Problems are often symptoms: 

a root cause analysis can help identify the real
issue.
16
P/Bertini @ UXDX 2021
The real problem:




The E2E recruiting process to
get 5/6 users costed ±2.5 days
of Designer time.
Every month a team run 2x testing sessions 

meaning that a designer had to work an extra 5
days / month to do their designer job and to
recruit participants. 

17
P/Bertini @ UXDX 2021
The impact:




These inef
fi
ciencies had both
design and business
consequences:
This generated issues for the design team:

• Long working hours / poor work/life balance

• Limited time to analyse and synthesise results

• Reduction in number of tests / frequency of testing

• Poor quality of testers / participants

But there were also business consequences:

• ±350 working days wasted (± 1.5 FTE)

• High recruiting cost per head (± $100 <> $360) 

• Slow lead times (±10 to 25 working days)

• Reduced tests (± 150/200 users involved / year accuracy ± 35%)

• Non GDPR compliant practices (reputational risks)
18
P/Bertini @ UXDX 2021
How were we doing?
19
P/Bertini @ UXDX 2021
The hypothesis
If we outsource research participants sourcing to a
new internal function, we could: 

• reduce designers non-design work by 90% >
from 5 to 1 day / month

• reduce research lead time by 35% > from 18 days
to 11

• increase participants’ engagement by 30% 

• reduce spending by 35%



And the Plan:
A 9 months’ experiment to assess impact of such a
service in one region.



And the partners:
Internal support services,
fi
nance, analytics, legal
20
P/Bertini @ UXDX 2021
What we did
• Optimise and redesign platform for EU with GDPR
review

• Design the overall recruitment work
fl
ow 

• De
fi
ne “SLAs” with Analytics team + x-functional
teams

• Recruit & train resource (Research recruiter)

• Roll out service to UK o
ffi
ce 

• Measure & quantify impact 

• Lead time

• Cost of recruitment

• Designers’ time saved

• Number of participants recruited
21
P/Bertini @ UXDX 2021
Measuring the impact
+ 4.5 FTE time
gained
● Year 1: (65% capacity)+ 430
Working days = 2 FTEs


● Year 2: (100% capacity) +900
working days = 4.5 FTE


● Enabling ambidexterity
Team health
● Attrition = >5%


● Team growth: 12% (58 to 65)


● AES (Annual Engagement score)
+20%
-65% lead time
● H3 market: from 22/24 days to 12


● H3 markets: from 14 days to 5
+300% participants
● Increase in design research and
testing by 4x


● Increased quality / variety of
participants


● 35% of recruitment from non-design
- 55% recruiting
cost
● In H2 markets savings to recruit
participants reached 72% (from
$380 to $180)


● In H3 markets the savings were
about - 45%
22
P/Bertini @ UXDX 2021
Improving Ef
fi
cacy Leading a data driven design process
Confidential | Do not distribute 23
The perceived problem:


Designers felt unable to
in
fl
uence product and business
decisions
Designers were unable to maximise their
business impact when interacting with PMs and
to be heard by the organisation.



24
P/Bertini @ UXDX 2021
The real problem:




Although designers are
empathy champions, decisions
are made with data.
Designers’ limited ability to use Data and Analytics
reduced their capacity to in
fl
uence decisions.

Designers need to learn a new language to
combine their deep understanding of the
customers with behavioural data / analytics to
de
fi
ne prioritisation criteria that serves equally the
users and the business.

25
P/Bertini @ UXDX 2021
Ef
fi
cacy is about designers’ behaviours and impact
Top focus on:


● user empathy


● design craft & excellence


● executing briefs from partners


● delivery for product teams


● assessed on quality of deliverables
26
P/Bertini @ UXDX 2021
Top focus on:


● users’ behavioural data


● data-informed decisions


● discussing strategies with partners


● delivery with product teams


● Assessed on impact of the solution
The hypothesis
If we expose all Designers and all X-functional partners
to data driven and data backed best practices and tools,
we will:

• develop a data informed design practice

• enable designers to understand and use data to make
better decisions and increase impact

• improve x-functional collaboration 

And the Plan: 



The XD Academy: a 6 months’ training programme, with
weekly sessions for a total of 4.5 hours of training /
month with a blend of Subject Matter Experts and
Vendors.

And the partners: 



PMs, Analytics, vendors, marketing, HR
27
P/Bertini @ UXDX 2021
What we did - the Academy
• A survey to capture con
fi
dence/awareness in
analytics 

• Set up a syllabus of topics by collaborating
with managers, directors, and teams

• Assess current Analytics’ tools engagement
and utilisation 

• Ensure all stakeholders are committed

• Run weekly sessions of 90 minutes

• Run a follow up survey to measure impact

• Assess tools’ analytics to understand the
Academy’s impact on designers’ behaviour
and data usage
28
P/Bertini @ UXDX 2021
Measuring the impact after 6 months
+ 110% engagement
with tools
● +150% increase in sessions


● Before the Academy, 45% designers
ignored all the tools available to them
Confidence in using
tools up to 29%
● For tools used for at least 3 months


● Average confidence +15%
+1,800 increase in
queries
● On average queries increased by
+500%
+84% of designers
used analytics
● 60% of designers set up their
account with the tools for the first
time thanks to the trainings!
+70% in Analytics
projects
● Utilisation and engagement with
tools started within 3 weeks from the
session.
Up to +27% confidence
in analytics & data
● Average increase in teams’ analytics
confidence +12%


● Average individual increase in
confidence: 10%


29
P/Bertini @ UXDX 2021
Epilogue
The top tips to think and understand e
ffi
ciencies
within your team!
30
P/Bertini @ UXDX 2021
Every design team
has inefficiencies.

Acknowledging that
there are invisible
inefficiencies is the
first step towards
efficiency.
31
P/Bertini @ UXDX 2021
Understand your team
and their pain: no two
teams are the same.

Each DesignOps
strategy needs to fit the
specific organisation
and the team in that
specific context.
32
P/Bertini @ UXDX 2021
Inefficiencies change
constantly: 



by solving a problem
check there is no an
emerging problem
somewhere else stemming
from the solution.



(Apply Systems Thinking
every single time)
33
P/Bertini @ UXDX 2021
34
Measure inefficiencies
and define clear metrics.

If you are not able to
measure the
inefficiencies and the
impact, you haven’t
framed the problem well
enough (yet).
P/Bertini @ UXDX 2021
35
Solving design team’s
inefficiencies will create
efficiencies across the
organisation because of
design’s x-functional and
collaborative nature.



Use this domino effect to
create partnerships and
maximise impact across the
business.
P/Bertini @ UXDX 2021
36
Teams are living and
evolving organisms.

So make sure you always
listen and observe.

Listen to the teams, to your
partners, to your instinct, to
the data.



Never stop listening.

P/Bertini @ UXDX 2021
Feel free to reach out later, both with questions or
to learn more about the open roles at Babylon
Health!

Contacts:



e-Mail: pat.bertini@BabylonHealth.com 

Twitter: @Legoviews

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Efficient Teams Do Not Happen. They are Designed. It's called DesignOps

  • 1. Ef fi cient Teams Do Not Happen. They are Designed. It's called DesignOps Patrizia Bertini Associate Director of Design Operations pat.bertini@BabylonHealth.com @Legoviews 1 Contacts:
 e-Mail: pat.bertini@BabylonHealth.com Twitter: @Legoviews
  • 2. 3 things about me Curious Non-linear (but fun) career! Love experimenting! NB. Opinions are my own and not the views of my employer!
 
 NB2. But we are hiring! P/Bertini @ UXDX 2021
  • 3. Chapter 1: What is DesignOps What is DesignOps and why do we need it? 3
  • 4. Design is not just what it looks like and feels like, design is how it works. (Steve Jobs) Design is all about fi nding solutions within constraints. If there were no constraints, it’s not design — it’s art.
 
 Matias Duarte, VP of Design at Google 4 P/Bertini @ UXDX 2021
  • 5. Operations transform resource or data inputs into desired goods, services, or results, and create and deliver value to the customers. 5 P/Bertini @ UXDX 2021 Source: Business Dictionary.
  • 6. DesignOps’ customers Every and each DesignOps action is a balancing act to deliver value one or multiple stakeholders by enabling efficiencies and identifying endemic inefficiencies. The Design Teams The Design Leader The Business 6 P/Bertini @ UXDX 2021
  • 7. DesignOps’ areas of intervention Business Operation: ● Budget management / spending optimisation ● Spending policy overview ● E2E procurement and 3PRM management ● Contract negotiations ● Vendors’ onboarding + 3P Risk assessment ● Spending ROI calculation ● Tools’ ROI / impact assessment ● Resource asks assessment (tools + people) ● CW/FTE sequencing Workflow & Design Operation: ● E2E Design process optimisation ● Tools’ ecosystem management ● Tools’ onboarding / off-boarding ● X-functional collaboration optimisation ● Design System management ● Data Governance ● Participant sourcing process management ● Research & Design asset management ● Design Standards People Operation: ● Career path definition ● Skill Matrix / Team composition assessment ● Development programmes and team trainings ● Teams culture ● Knowledge & experience sharing ● Streamline ubiquitous x-functional collaboration ● Onboarding/off-boarding ● Internal communication ● Change Management ● Engagement models ● Hiring / job spec / tasks review 7 P/Bertini @ UXDX 2021
  • 8. Chapter 2: DesignOps pillars How does DesignOps work and what are the bene fi ts? 8 P/Bertini @ UXDX 2021
  • 9. DesignOps’ impact: E ffi cacy & E ffi ciency Efficiency ● Do things in the right way ● Focus on processes
 Example metrics: ● Tools’ ROI (Cost/Engagement/ Adoption) ● Testing and prototyping lead time (Time) ● Number and type of quality reviews ● Team productivity (Resources utilisation) ● E2E delivery time (Time) Efficacy ● Do the right things ● Focus on behaviours Example metrics: ● Empathy and ongoing user engagement ● Ideation and experimentation cycle times ● Composition of teams’ skills (skill matrix) ● Design skills’ distribution ● Perceived value of design by cross-functional partners ● Designers’ satisfaction and retention 9 P/Bertini @ UXDX 2021
  • 10. E ffi ciency is not a qualitative and subjective estimate and it is not measured by adjectives or any verbal descriptors. E ffi ciency is quanti fi able and it is measured by numbers, percentages, and ratios that provide an objective measurement of the impact and results though percent variations and relative delta. 10 P/Bertini @ UXDX 2021
  • 11. Team’s e ffi ciency today We know designers spend time doing non- design tasks. But do you know how much time is your team spending in mundane tasks? 60% of the time is spent doing non-design work [Source: Workfront 2020] 11 P/Bertini @ UXDX 2021
  • 12. 2 hours and 53 minutes. The average UK office worker is only productive for 2 hours and 53 minutes out of the working day according to a recent study. [Source: Voucherclub 2020] 12 P/Bertini @ UXDX 2021
  • 13. Some inef fi ciencies are invisible but have tangible effects on design teams’ productivity Usual causes: • Inconsistent E2E ways of working • Poor x-functional collaboration • Inconsistent tools’ usage • Inconsistent templates • Lack of processes • Poor engagement models 13 P/Bertini @ UXDX 2021 Impact: • Long working hours • High rate of re-work • Delays • Poor quality of outcome • High team churn • Low level of engagement
  • 14. Chapter 3: Case studies How can DesignOps bring e ffi ciencies to your team? 14 P/Bertini @ UXDX 2021
  • 15. Improving Ef fi ciency Improving Designer’s experience Confidential | Do not distribute 15
  • 16. The perceived problem: 
 
 Designers felt overwhelmed: too much work, long hours Problems are often symptoms: a root cause analysis can help identify the real issue. 16 P/Bertini @ UXDX 2021
  • 17. The real problem: 
 The E2E recruiting process to get 5/6 users costed ±2.5 days of Designer time. Every month a team run 2x testing sessions meaning that a designer had to work an extra 5 days / month to do their designer job and to recruit participants. 17 P/Bertini @ UXDX 2021
  • 18. The impact: 
 These inef fi ciencies had both design and business consequences: This generated issues for the design team: • Long working hours / poor work/life balance • Limited time to analyse and synthesise results • Reduction in number of tests / frequency of testing • Poor quality of testers / participants But there were also business consequences: • ±350 working days wasted (± 1.5 FTE) • High recruiting cost per head (± $100 <> $360) • Slow lead times (±10 to 25 working days) • Reduced tests (± 150/200 users involved / year accuracy ± 35%) • Non GDPR compliant practices (reputational risks) 18 P/Bertini @ UXDX 2021
  • 19. How were we doing? 19 P/Bertini @ UXDX 2021
  • 20. The hypothesis If we outsource research participants sourcing to a new internal function, we could: • reduce designers non-design work by 90% > from 5 to 1 day / month • reduce research lead time by 35% > from 18 days to 11 • increase participants’ engagement by 30% • reduce spending by 35%
 
 And the Plan: A 9 months’ experiment to assess impact of such a service in one region.
 
 And the partners: Internal support services, fi nance, analytics, legal 20 P/Bertini @ UXDX 2021
  • 21. What we did • Optimise and redesign platform for EU with GDPR review • Design the overall recruitment work fl ow 
 • De fi ne “SLAs” with Analytics team + x-functional teams • Recruit & train resource (Research recruiter) • Roll out service to UK o ffi ce • Measure & quantify impact • Lead time • Cost of recruitment • Designers’ time saved • Number of participants recruited 21 P/Bertini @ UXDX 2021
  • 22. Measuring the impact + 4.5 FTE time gained ● Year 1: (65% capacity)+ 430 Working days = 2 FTEs ● Year 2: (100% capacity) +900 working days = 4.5 FTE ● Enabling ambidexterity Team health ● Attrition = >5% ● Team growth: 12% (58 to 65) ● AES (Annual Engagement score) +20% -65% lead time ● H3 market: from 22/24 days to 12 ● H3 markets: from 14 days to 5 +300% participants ● Increase in design research and testing by 4x ● Increased quality / variety of participants ● 35% of recruitment from non-design - 55% recruiting cost ● In H2 markets savings to recruit participants reached 72% (from $380 to $180) ● In H3 markets the savings were about - 45% 22 P/Bertini @ UXDX 2021
  • 23. Improving Ef fi cacy Leading a data driven design process Confidential | Do not distribute 23
  • 24. The perceived problem: Designers felt unable to in fl uence product and business decisions Designers were unable to maximise their business impact when interacting with PMs and to be heard by the organisation.
 
 24 P/Bertini @ UXDX 2021
  • 25. The real problem: 
 Although designers are empathy champions, decisions are made with data. Designers’ limited ability to use Data and Analytics reduced their capacity to in fl uence decisions.
 Designers need to learn a new language to combine their deep understanding of the customers with behavioural data / analytics to de fi ne prioritisation criteria that serves equally the users and the business. 25 P/Bertini @ UXDX 2021
  • 26. Ef fi cacy is about designers’ behaviours and impact Top focus on: ● user empathy ● design craft & excellence ● executing briefs from partners ● delivery for product teams ● assessed on quality of deliverables 26 P/Bertini @ UXDX 2021 Top focus on: ● users’ behavioural data ● data-informed decisions ● discussing strategies with partners ● delivery with product teams ● Assessed on impact of the solution
  • 27. The hypothesis If we expose all Designers and all X-functional partners to data driven and data backed best practices and tools, we will: • develop a data informed design practice • enable designers to understand and use data to make better decisions and increase impact • improve x-functional collaboration And the Plan: 
 
 The XD Academy: a 6 months’ training programme, with weekly sessions for a total of 4.5 hours of training / month with a blend of Subject Matter Experts and Vendors. And the partners: 
 
 PMs, Analytics, vendors, marketing, HR 27 P/Bertini @ UXDX 2021
  • 28. What we did - the Academy • A survey to capture con fi dence/awareness in analytics • Set up a syllabus of topics by collaborating with managers, directors, and teams • Assess current Analytics’ tools engagement and utilisation • Ensure all stakeholders are committed • Run weekly sessions of 90 minutes • Run a follow up survey to measure impact • Assess tools’ analytics to understand the Academy’s impact on designers’ behaviour and data usage 28 P/Bertini @ UXDX 2021
  • 29. Measuring the impact after 6 months + 110% engagement with tools ● +150% increase in sessions ● Before the Academy, 45% designers ignored all the tools available to them Confidence in using tools up to 29% ● For tools used for at least 3 months ● Average confidence +15% +1,800 increase in queries ● On average queries increased by +500% +84% of designers used analytics ● 60% of designers set up their account with the tools for the first time thanks to the trainings! +70% in Analytics projects ● Utilisation and engagement with tools started within 3 weeks from the session. Up to +27% confidence in analytics & data ● Average increase in teams’ analytics confidence +12% ● Average individual increase in confidence: 10% 29 P/Bertini @ UXDX 2021
  • 30. Epilogue The top tips to think and understand e ffi ciencies within your team! 30 P/Bertini @ UXDX 2021
  • 31. Every design team has inefficiencies. Acknowledging that there are invisible inefficiencies is the first step towards efficiency. 31 P/Bertini @ UXDX 2021
  • 32. Understand your team and their pain: no two teams are the same.
 Each DesignOps strategy needs to fit the specific organisation and the team in that specific context. 32 P/Bertini @ UXDX 2021
  • 33. Inefficiencies change constantly: 
 
 by solving a problem check there is no an emerging problem somewhere else stemming from the solution.
 
 (Apply Systems Thinking every single time) 33 P/Bertini @ UXDX 2021
  • 34. 34 Measure inefficiencies and define clear metrics.
 If you are not able to measure the inefficiencies and the impact, you haven’t framed the problem well enough (yet). P/Bertini @ UXDX 2021
  • 35. 35 Solving design team’s inefficiencies will create efficiencies across the organisation because of design’s x-functional and collaborative nature. 
 Use this domino effect to create partnerships and maximise impact across the business. P/Bertini @ UXDX 2021
  • 36. 36 Teams are living and evolving organisms. So make sure you always listen and observe. Listen to the teams, to your partners, to your instinct, to the data.
 
 Never stop listening. P/Bertini @ UXDX 2021
  • 37. Feel free to reach out later, both with questions or to learn more about the open roles at Babylon Health! Contacts:
 
 e-Mail: pat.bertini@BabylonHealth.com Twitter: @Legoviews