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2019 Noémie PRIN
U X M E T R I C S
AGENCE
STARTUP CONSULTING CORPORATE
TEACHING RESEARCH
Chaire Data science
APHP + CNAM
UX CLINIC
FOR STARTUPS
2019 Noémie PRIN
W H O I S I N T H E R O O M
2019 Noémie PRIN
Relationship
User <-> product
U X U X D E S I G N
The intent of improving UX
2019 Noémie PRIN
U N E D E M A G A Z I N E W E B
..TO MEASURE THE QUALITY OF UX
H O W TO U S E T H E DATA
.. TO INFORM YOUR DESIGN ..TO DESIGN AI / MACHINE
LEARNING EXPERIENCES
User-
Research
Strategy
Solution
THIS TALK
.. TO VALIDATE YOUR DESIGN
2019 Noémie PRIN
U X M AT U R I T Y S TA G E S
2017 Noémie PRIN - IAE Grenoble
C A T C H I N G B I G G E R W A V E S
2019 Noémie PRIN
“What has been
affirmed without proof
can also be denied
without proof.”
― Euclid
‣ Make your design valuable
Everything that can be measured and can be improved
We can only optimise complexity ex-post
‣ Objectivise your design decision.
Gain credibility and relevancy toward your stakeholders
‣ ROI calculation
Where do we have to prioritize our effort?
‣ How do we know our work is working?
‣ Team cohesion
W H Y U S I N G U X M E T R I C S
2019 Noémie PRIN
4 .
D E C I D E
3 .
T R A C K P R O G R E S S
& A N A LY S E
1 .
D E F I N E
Change your design
• Reduce cognitive /
motor / visual load
• Automation
• Connect Apps, leverage
existing tools
• Improve Onboarding
Sunset features
Conduct qualitative
study
for further investigation
Run new experiments
A/B test, fake doors..
ROI
Impact vs Design effort
Observe
Benchmark
Identify Correlation
Text mining
Metric tracker
UX Scorecard
Calculate Experience
Quality Score
Communicate
Dashboard
Data visualisation
North Star KPI
Performance
Conversion..
3 UX metrics
• Happiness
• Engagement
• Adoption
(Onboarding)
• Retention
• Task Success
2 .
C A P T U R E DATA
Set up the technology
With analytics package
Event monitoring tools
Data science Tools,
Technical “by hand”
Custom code, Excel exports
Create data via User Research
Quantitative (at scale)
Qualitative (expansive)
Explore from other data
sources (Insights from Customer
support, open data, Google
trends..)
2019 Noémie PRIN
1 . D E F I N E
2019 Noémie PRIN
U N E D E M A G A Z I N E W E B
a great UX metric…
...makes you look at all the other metrics and say
“none of those other numbers matter if we don’t get this right first.”
12
Customer experience
Internal process
Operations
Logistics
Customer
data
Customer Touchpoints
Optimize internal process experience to drive growth
M Y E N T E R P R I S E C A S E
2019 Noémie PRIN
Hi, I’m Noemie UX designer
Cool, I’m Joe, Responsible of…..
How can I help?
So...
2019 Noémie PRIN
U N E D E M A G A Z I N E W E B
WHAT ARE THE COMPANY KPIS
AND CORE BUSINESS GOALS ?
S TA R T W I T H A Q U E S T I O N
2019 Noémie PRIN
U N E D E M A G A Z I N E W E B
Scale the business
“How do we manage significantly
more customers with no additional
relationship managers?”
M Y E N T E R P R I S E C A S E
G E N E R AT E VA LU E T H R O U G H O P E R AT I O N A L E F F I C I E N C Y
Key UX metrics
Engagement
Task success
Business metrics to correlate with
Sales user performance
! Limit your set of UX metrics
! Relate it to company KPIs
! Measure the usage of your
product by a person.
! Specify it to features that
deliver value to your user.
2019 Noémie PRIN
U N E D E M A G A Z I N E W E B
M E A S U R I N G E N G A G E M E N T
The frequency, intensity, or depth of interaction between user
and product, feature, or service over a given period of time. 
I S D I F F E R E N T T H A N …
SATISFACTION
MOTIVATION
2019 Noémie PRIN
1. Start tracking product engagement
activities that will inform your score
2. Weigh each product engagement
event based on how much it should
affect your score
3. Apply the product engagement scores
to make them actionable
E N G A G E M E N T S C O R E
Events ex:
ompleted form x
Comment field in X record page
Changed opportunity stage to stage 4
1.Rank your Users
2.Calculate overall engagement score
3.Track score progress
2019 Noémie PRIN
U N E D E M A G A Z I N E W E B
S P E C I F I C E N G A G E M E N T M E T R I C
! Actionable
! Understandable
! Easy to communicate
! Avoid vanity metrics
Unhelpful Vanity Good Better Awesome
Start with
• “number of...” [ # ]
• “average number of...” [avg ]
• “percent of...”
2019 Noémie PRIN
Set a goal (flow rather than stock)
Set a time span
Think about how to collect the data
ENGAGEMENT METRIC PLAN ENGAGEMENT METRIC TRACKER
2019 Noémie PRIN
2 . C A P T U R E D A T A
2019 Noémie PRIN
U N E D E M A G A Z I N E W E B
TA S K S U C C E S S
Task success rate
Time-on-task
Salesforce ex:
Time to complete a quote
Time to complete a account
form
Form completion rate
Allows you to..
!Improve information architecture.
!Identify problem areas and fix them.
!Identify successful areas and don’t fix them.
Time to perform a task
Time taken on the first attempt
Time correcting errors
2019 Noémie PRIN
U N E D E M A G A Z I N E W E B
TA S K S U C C E S S
Lostness
2019 Noémie PRIN
U N E D E M A G A Z I N E W E B
Usability tests User behaviour analytics packages
Unmoderated at scale (UserZoom)
Moderated
TA S K S U C C E S S TO O L S
2019 Noémie PRIN
TA S K S U C C E S S R O I
2019 Noémie PRIN
U N E D E M A G A Z I N E W E B
AV O I D A S K I N G U S E R S
● Selection Bias
● Hawthorne Effect
● Intrusive action (vs passive)
! Directly measure task success
performance and behavior rather
than opinion and attitude
SURVEYS
2019 Noémie PRIN
U N E D E M A G A Z I N E W E B
H A P P I N E S S M E T R I C E X A M P L E
Rage Clicks
measured in JavaScript by looking for
more than 2 clicks within the same 10
pixels in a short period of time.
2019 Noémie PRIN
3 . A N A LY S E A N D T R A C K
P R O G R E S S
2019 Noémie PRIN
A N A L Y S E
Correlation
This appears at the same time
Clusters
Causality
An event causes the other
Linear Regression
DESCRIBE
EXPLAIN
- Data analysts can help you..
T R A C K
- Calculate Experience quality Score
- UX Scorecard
- Dashboard
- Metric Tracker
- Benchmark
- Explore other metrics
Study the behaviour of your users through the data traces they
leave behind them
! What can impact conversion rate?
! What behaviors impact performance?
2019 Noémie PRIN
QUANTITATIVE = WHAT
QUALITATIVE = WHY
C O M B I N E W I T H Q U A L I T A T I V E
Don't solve symptoms. Seek to identify the underlying problem.
2019 Noémie PRIN
U N E D E M A G A Z I N E W E B
H O W TO C O M M U N I C AT E
Dashboard UX Scorecard
Metrics tracker
Excel
Slides
Data visualisation
Google Data Studio
Tableau
D3.js
RAW Graphs
Kissmetrics
Segment
Hotjar
Mixpanel
Einstein analytics
2019 Noémie PRIN
4 . D E C I D E
2019 Noémie PRIN
Sunset features
Review (or kill) any features that few people are
using very little
Change your design
• Reduce cognitive / motor / visual load
• Automation
• Connect Apps, leverage existing tools
• Improve Onboarding
Conduct qualitative study
for further investigation
Run new experiments
A/B test, fake doors..
ROI
Impact vs Design effort
2019 Noémie PRIN
VISUAL LOAD
COGNITIVE LOAD
MOTOR LOAD
I M P R O V E Y O U R D E S I G N
2019 Noémie PRIN
Increased user
satisfaction
Increased user
adoption
Increased user
productivity
Decreased training
and support costs
U X VA LU E C A LC U L AT I O N
(time saved)
x (employee cost)
x (employees)
e.g. 2 hours/week x €15/hr x
200 employees
= €6000/week
Better data capture
and fewer user errors
(number of errors)
x (avg. fix time)
x (employee cost)
x (number of employees)
e.g. 2 errors/month x 0.83hrs x €16/hr x
500 employees
= €1,328 per month
(number of training hours saved)
x [(cost of trainer)
+ (cost of employee)]
e.g. 4 hours x 200 employees x (€30/
hr + €15/hr)
= €3600
2019 Noémie PRIN Source : Intercom
Business Value €
or Improvement rate %
Effort (hours)
Time to design
Time to implement
Time to test
Design improvement A
Design improvement B
Compare with the UX team effort
2019 Noémie PRIN
“You don’t have to wait to make your ROI case.
Decisions based on estimates are better than decisions made without
any calculations at all.”
– Susan Weinschenk, Chief of UX Strategy at Human Factors International
2019 Noémie PRIN
T H A N K Y O U

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UX Metrics for Enterprise

  • 1. 2019 Noémie PRIN U X M E T R I C S
  • 2. AGENCE STARTUP CONSULTING CORPORATE TEACHING RESEARCH Chaire Data science APHP + CNAM UX CLINIC FOR STARTUPS
  • 3. 2019 Noémie PRIN W H O I S I N T H E R O O M
  • 4. 2019 Noémie PRIN Relationship User <-> product U X U X D E S I G N The intent of improving UX
  • 5. 2019 Noémie PRIN U N E D E M A G A Z I N E W E B ..TO MEASURE THE QUALITY OF UX H O W TO U S E T H E DATA .. TO INFORM YOUR DESIGN ..TO DESIGN AI / MACHINE LEARNING EXPERIENCES User- Research Strategy Solution THIS TALK .. TO VALIDATE YOUR DESIGN
  • 6. 2019 Noémie PRIN U X M AT U R I T Y S TA G E S
  • 7. 2017 Noémie PRIN - IAE Grenoble C A T C H I N G B I G G E R W A V E S
  • 8. 2019 Noémie PRIN “What has been affirmed without proof can also be denied without proof.” ― Euclid ‣ Make your design valuable Everything that can be measured and can be improved We can only optimise complexity ex-post ‣ Objectivise your design decision. Gain credibility and relevancy toward your stakeholders ‣ ROI calculation Where do we have to prioritize our effort? ‣ How do we know our work is working? ‣ Team cohesion W H Y U S I N G U X M E T R I C S
  • 9. 2019 Noémie PRIN 4 . D E C I D E 3 . T R A C K P R O G R E S S & A N A LY S E 1 . D E F I N E Change your design • Reduce cognitive / motor / visual load • Automation • Connect Apps, leverage existing tools • Improve Onboarding Sunset features Conduct qualitative study for further investigation Run new experiments A/B test, fake doors.. ROI Impact vs Design effort Observe Benchmark Identify Correlation Text mining Metric tracker UX Scorecard Calculate Experience Quality Score Communicate Dashboard Data visualisation North Star KPI Performance Conversion.. 3 UX metrics • Happiness • Engagement • Adoption (Onboarding) • Retention • Task Success 2 . C A P T U R E DATA Set up the technology With analytics package Event monitoring tools Data science Tools, Technical “by hand” Custom code, Excel exports Create data via User Research Quantitative (at scale) Qualitative (expansive) Explore from other data sources (Insights from Customer support, open data, Google trends..)
  • 10. 2019 Noémie PRIN 1 . D E F I N E
  • 11. 2019 Noémie PRIN U N E D E M A G A Z I N E W E B a great UX metric… ...makes you look at all the other metrics and say “none of those other numbers matter if we don’t get this right first.”
  • 12. 12 Customer experience Internal process Operations Logistics Customer data Customer Touchpoints Optimize internal process experience to drive growth M Y E N T E R P R I S E C A S E
  • 13. 2019 Noémie PRIN Hi, I’m Noemie UX designer Cool, I’m Joe, Responsible of….. How can I help? So...
  • 14. 2019 Noémie PRIN U N E D E M A G A Z I N E W E B WHAT ARE THE COMPANY KPIS AND CORE BUSINESS GOALS ? S TA R T W I T H A Q U E S T I O N
  • 15. 2019 Noémie PRIN U N E D E M A G A Z I N E W E B Scale the business “How do we manage significantly more customers with no additional relationship managers?” M Y E N T E R P R I S E C A S E G E N E R AT E VA LU E T H R O U G H O P E R AT I O N A L E F F I C I E N C Y Key UX metrics Engagement Task success Business metrics to correlate with Sales user performance ! Limit your set of UX metrics ! Relate it to company KPIs ! Measure the usage of your product by a person. ! Specify it to features that deliver value to your user.
  • 16. 2019 Noémie PRIN U N E D E M A G A Z I N E W E B M E A S U R I N G E N G A G E M E N T The frequency, intensity, or depth of interaction between user and product, feature, or service over a given period of time.  I S D I F F E R E N T T H A N … SATISFACTION MOTIVATION
  • 17. 2019 Noémie PRIN 1. Start tracking product engagement activities that will inform your score 2. Weigh each product engagement event based on how much it should affect your score 3. Apply the product engagement scores to make them actionable E N G A G E M E N T S C O R E Events ex: ompleted form x Comment field in X record page Changed opportunity stage to stage 4 1.Rank your Users 2.Calculate overall engagement score 3.Track score progress
  • 18. 2019 Noémie PRIN U N E D E M A G A Z I N E W E B S P E C I F I C E N G A G E M E N T M E T R I C ! Actionable ! Understandable ! Easy to communicate ! Avoid vanity metrics Unhelpful Vanity Good Better Awesome Start with • “number of...” [ # ] • “average number of...” [avg ] • “percent of...”
  • 19. 2019 Noémie PRIN Set a goal (flow rather than stock) Set a time span Think about how to collect the data ENGAGEMENT METRIC PLAN ENGAGEMENT METRIC TRACKER
  • 20. 2019 Noémie PRIN 2 . C A P T U R E D A T A
  • 21. 2019 Noémie PRIN U N E D E M A G A Z I N E W E B TA S K S U C C E S S Task success rate Time-on-task Salesforce ex: Time to complete a quote Time to complete a account form Form completion rate Allows you to.. !Improve information architecture. !Identify problem areas and fix them. !Identify successful areas and don’t fix them. Time to perform a task Time taken on the first attempt Time correcting errors
  • 22. 2019 Noémie PRIN U N E D E M A G A Z I N E W E B TA S K S U C C E S S Lostness
  • 23. 2019 Noémie PRIN U N E D E M A G A Z I N E W E B Usability tests User behaviour analytics packages Unmoderated at scale (UserZoom) Moderated TA S K S U C C E S S TO O L S
  • 24. 2019 Noémie PRIN TA S K S U C C E S S R O I
  • 25. 2019 Noémie PRIN U N E D E M A G A Z I N E W E B AV O I D A S K I N G U S E R S ● Selection Bias ● Hawthorne Effect ● Intrusive action (vs passive) ! Directly measure task success performance and behavior rather than opinion and attitude SURVEYS
  • 26. 2019 Noémie PRIN U N E D E M A G A Z I N E W E B H A P P I N E S S M E T R I C E X A M P L E Rage Clicks measured in JavaScript by looking for more than 2 clicks within the same 10 pixels in a short period of time.
  • 27. 2019 Noémie PRIN 3 . A N A LY S E A N D T R A C K P R O G R E S S
  • 28. 2019 Noémie PRIN A N A L Y S E Correlation This appears at the same time Clusters Causality An event causes the other Linear Regression DESCRIBE EXPLAIN - Data analysts can help you.. T R A C K - Calculate Experience quality Score - UX Scorecard - Dashboard - Metric Tracker - Benchmark - Explore other metrics Study the behaviour of your users through the data traces they leave behind them ! What can impact conversion rate? ! What behaviors impact performance?
  • 29. 2019 Noémie PRIN QUANTITATIVE = WHAT QUALITATIVE = WHY C O M B I N E W I T H Q U A L I T A T I V E Don't solve symptoms. Seek to identify the underlying problem.
  • 30. 2019 Noémie PRIN U N E D E M A G A Z I N E W E B H O W TO C O M M U N I C AT E Dashboard UX Scorecard Metrics tracker Excel Slides Data visualisation Google Data Studio Tableau D3.js RAW Graphs Kissmetrics Segment Hotjar Mixpanel Einstein analytics
  • 31. 2019 Noémie PRIN 4 . D E C I D E
  • 32. 2019 Noémie PRIN Sunset features Review (or kill) any features that few people are using very little Change your design • Reduce cognitive / motor / visual load • Automation • Connect Apps, leverage existing tools • Improve Onboarding Conduct qualitative study for further investigation Run new experiments A/B test, fake doors.. ROI Impact vs Design effort
  • 33. 2019 Noémie PRIN VISUAL LOAD COGNITIVE LOAD MOTOR LOAD I M P R O V E Y O U R D E S I G N
  • 34. 2019 Noémie PRIN Increased user satisfaction Increased user adoption Increased user productivity Decreased training and support costs U X VA LU E C A LC U L AT I O N (time saved) x (employee cost) x (employees) e.g. 2 hours/week x €15/hr x 200 employees = €6000/week Better data capture and fewer user errors (number of errors) x (avg. fix time) x (employee cost) x (number of employees) e.g. 2 errors/month x 0.83hrs x €16/hr x 500 employees = €1,328 per month (number of training hours saved) x [(cost of trainer) + (cost of employee)] e.g. 4 hours x 200 employees x (€30/ hr + €15/hr) = €3600
  • 35. 2019 Noémie PRIN Source : Intercom Business Value € or Improvement rate % Effort (hours) Time to design Time to implement Time to test Design improvement A Design improvement B Compare with the UX team effort
  • 36. 2019 Noémie PRIN “You don’t have to wait to make your ROI case. Decisions based on estimates are better than decisions made without any calculations at all.” – Susan Weinschenk, Chief of UX Strategy at Human Factors International
  • 37. 2019 Noémie PRIN T H A N K Y O U