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Metrics of Value
Reidar Bratvold
Somik Raha
Brushing your teeth and
Values
SYSTEMIC VALUE # of times brushed
PRACTICAL VALUE Dental Hygiene
INTRINSIC VALUE Personal well-being
“Everything that can be counted
does not necessarily count;
everything that counts cannot
necessarily be counted.”
—Einstein
“What can be counted does not really count;
What counts cannot really be counted.”
–Jonathan Hall, VP Finance & Strategy, Walmart
“Key Performance Indicators (KPIs) are not
measures of SVC … they are measures of
things that drive SVC”
Metrics are not “measures” of value. They are
systems that drive action toward value creation.
Our ultimate goal is not valuation but value
creation.
Value is created (or destroyed) through our
actions (decisions).
The purpose of a metric is to help us rank
alternatives, and not to calculate some “true value”
Metrics are ultimately systems we create
Question: Are the metrics we use driving desirable
or undesirable action?
GOAL: Capture community wisdom around
metrics
Let’s look at some examples
But first, a caveat…
You may or may not agree with the examples
If some of these interest you, you can do a table
discussion on it
Christopher Alexander
Using Patterns to capture community wisdom
A book that rocked
two worlds
Pattern
“Each pattern describes a problem which occurs over and
over again in our environment, and then describes the core
of the solution to that problem, in such a way that you can
use this solution a million times over, without ever doing it
the same way twice.”
“What is a design pattern?” from Design Patterns: Elements of Reusable Object-Oriented Software by Gamma et al., 1995
Anti-Pattern
An anti-pattern (or antipattern) is a common response to a
recurring problem that is usually ineffective and often highly
counterproductive
ANTI-­‐PATTERN	
  
Combined	
  Risk-­‐Time	
  Preferences
What:	
  Capture	
  risk	
  and	
  .me-­‐preference	
  in	
  discount	
  rate	
  
Descrip:on:	
  Use	
  capital	
  asset	
  pricing	
  model	
  (CAPM)	
  to	
  calculate	
  WACC.	
  
Reason	
  this	
  is	
  undesirable:	
  Time	
  and	
  risk-­‐preference	
  get	
  conflated.	
  
Conversa.ons	
  around	
  uncertainty	
  become	
  extremely	
  complicated,	
  
and	
  are	
  therefore	
  avoided.	
  
Example:	
  Financial	
  models	
  consistently	
  avoid	
  conversa.ons	
  on	
  
uncertainty	
  by	
  reliance	
  on	
  models	
  that	
  automa.cally	
  calculated	
  betas	
  
Related	
  Pa?ern:	
  Separated	
  Preferences
PATTERN	
  
Separated	
  Risk-­‐Time	
  Preferences
Problem:	
  When	
  risk	
  and	
  .me-­‐preference	
  are	
  combined	
  in	
  the	
  discount	
  rate,	
  
conversa.ons	
  around	
  uncertainty	
  become	
  incredibly	
  difficult	
  and	
  suffer	
  from	
  lack	
  
of	
  clarity.	
  
Solu:on:	
  Use	
  discount	
  rate	
  only	
  to	
  capture	
  .me-­‐preference	
  and	
  risk-­‐aItude	
  to	
  
capture	
  risk-­‐tolerance.	
  
Reason	
  this	
  is	
  desirable:	
  Time-­‐preference	
  is	
  about	
  how	
  much	
  we	
  value	
  future	
  money	
  
today,	
  whereas	
  risk-­‐tolerance	
  is	
  about	
  how	
  much	
  uncertainty	
  we	
  can	
  tolerate.	
  
These	
  are	
  two	
  separate	
  conversa.ons	
  that	
  we	
  know	
  how	
  to	
  conduct	
  with	
  clarity.	
  
Example:	
  …	
  
Related	
  An:-­‐Pa?ern:	
  Combined	
  Risk-­‐Time	
  preferences
ANTI-­‐PATTERN	
  
Discounted	
  Cashflow	
  (DCF)	
  Ranking
What:	
  Opportuni.es	
  are	
  ranked	
  by	
  their	
  DCF	
  
Reason	
  this	
  is	
  undesirable:	
  DCF	
  as	
  a	
  sole	
  metric	
  of	
  comparing	
  two	
  deals	
  
is	
  problema.c	
  as	
  it	
  has	
  no	
  no.on	
  of	
  uncertainty	
  in	
  it.	
  This	
  oNen	
  results	
  
in	
  a	
  misuse	
  of	
  the	
  discount	
  rate	
  to	
  (ineffec.vely)	
  incorporate	
  
uncertainty.	
  
Related	
  Pa?ern:	
  PCF	
  Ranking
PATTERN	
  
Probability-­‐weighted	
  Cash	
  Flow	
  Ranking
Problem:	
  DCF	
  does	
  not	
  adequately	
  incorporate	
  our	
  thoughts	
  on	
  
uncertainty.	
  
Solu:on:	
  Weight	
  DCF	
  with	
  our	
  assessments	
  of	
  probability	
  to	
  produce	
  a	
  
PCF-­‐ranking.	
  
Related	
  An:-­‐pa?ern:	
  DCF	
  Ranking But wait - it’s not so simple! Just
using PCF is problematic. It needs
to be situated in a context of
patterns that clarify preference
metrics.
List metrics that you’ve seen driving counterproductive
behavior in a context
METRIC: Discounted Cash Flow
CONTEXT: Ranking Business Decisions
DCF as a sole metric of comparing two deals is
problematic as it has no notion of uncertainty in
it and it is often based on Combined Risk-Time
Preferences. This often results in a misuse of
the discount rate to (ineffectively) incorporate
risk attitude.
REIDAR + SOMIK
Story
example
Your name(s)
List metrics that you’ve seen driving useful behavior
in a context
METRIC: Probability-weighted Discounted
Cash Flow
CONTEXT: Ranking Business Decisions
By using Separated Risk-Time Preferences, we
are able to drive good conversations around
time and risk-preference, while at the same
addressing uncertainty in a clear manner.
REIDAR + SOMIK
Story
example
Your name(s)
List metrics that you’ve seen as somewhat neutral
(neither helpful nor harmful) in a context
METRIC:
CONTEXT:
Story
Your name(s)
example
Please start your reflection
writing (5 mins)
METRIC: Discounted Cash Flow
CONTEXT: Ranking Business Decisions
DCF as a sole metric of comparing two
deals is problematic as it has no notion of
uncertainty in it and it is often based on
Combined Risk-Time Preferences. This
often results in a misuse of the discount rate
to (ineffectively) incorporate risk attitude.


REIDAR + SOMIK
METRIC: Probability-weighted
Discounted Cash Flow
CONTEXT: Ranking Business Decisions
By using Separated Risk-Time Preferences,
we are able to drive good conversations
around time and risk-preference, while at
the same addressing uncertainty in a clear
manner.
REIDAR + SOMIK
METRIC:
CONTEXT:
Identify contexts of interest
Area of Interest Table Leader
Financial Steve Begg
Advertising Elisabeth Browne
Risk Management Chris

Operational Christa
Non-profit Victor
Health Kwon
Safety George
Personal Elisabeth Browne
Culture Change Jim Driscoll
Environment Laura
Rankings Robyn
Oil & Gas Eric
Business Carl
Find Your Table
Table leaders, take your seats
Table leaders write down in bold on the flipchart the
context you are anchoring
Everyone else walk over to the table you want to be a
part of.
Only as many participants as there are chairs.
Share your cards and discuss. Make new cards as
necessary.
Summarize your Discussion
Metric
Discount
Rate
Discounted
CashFlow
…
USEFUL
Story of
context
Capture
Time
Preferences
Input to PCF-
Ranking of
alternatives
…
NEUTRAL
Story of
context
… … …
COUNTER-
PRODUCTIVE
Story of
context
Combined
Risk-Time
Preferences
DCF-Ranking
of
alternatives
…
Take 5 mins
Consolidation
Table leaders paste your posters on the wall and
consolidate columns across posters - take 5 minutes.
Everyone else - think of other metrics/contexts that have
been sparked in your mind from these discussions and
make more cards. Take 5 minutes.
Review
Let’s take 10 minutes to review
What did we learn?
Let’s take 5 minutes to share
Everyone else - walk over and read everyone’s cards. If a
context is missing, add your own card to it. Take 10
minutes.
e.g. you see a red card, where you think the metric has good uses, please
make your green card and stick it up; and vice-versa
Review stories
Please walk over and read everyone’s cards. If a context is
missing, add your own card to it.
e.g. you see a red card, where you think the metric has good uses, please make
your green card and stick it up; and vice-versa
Appendix
You can use images to summarize wisdom
Net Cash
Flow (NCF)
Ignores
time-value of
money
Harder to
build on than
NPV
“Cash is king” -
planning of
cashflow
Discounted Cash Flow
Useinstead
reason this is
a pattern
reason this is
an anti-pattern
reason this is
an anti-pattern
Example: Light on Two Sides of a Room
Possible Patterns and Anti-Patterns on Metrics
You may or may not agree
These are shown as examples
If some of these interest you, you can do a table
discussion on it

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Metric Patterns Session Slides

  • 1. Metrics of Value Reidar Bratvold Somik Raha
  • 2. Brushing your teeth and Values SYSTEMIC VALUE # of times brushed PRACTICAL VALUE Dental Hygiene INTRINSIC VALUE Personal well-being
  • 3. “Everything that can be counted does not necessarily count; everything that counts cannot necessarily be counted.” —Einstein
  • 4. “What can be counted does not really count; What counts cannot really be counted.”
  • 5. –Jonathan Hall, VP Finance & Strategy, Walmart “Key Performance Indicators (KPIs) are not measures of SVC … they are measures of things that drive SVC”
  • 6. Metrics are not “measures” of value. They are systems that drive action toward value creation. Our ultimate goal is not valuation but value creation. Value is created (or destroyed) through our actions (decisions). The purpose of a metric is to help us rank alternatives, and not to calculate some “true value” Metrics are ultimately systems we create Question: Are the metrics we use driving desirable or undesirable action?
  • 7. GOAL: Capture community wisdom around metrics Let’s look at some examples
  • 8. But first, a caveat… You may or may not agree with the examples If some of these interest you, you can do a table discussion on it
  • 9. Christopher Alexander Using Patterns to capture community wisdom A book that rocked two worlds
  • 10. Pattern “Each pattern describes a problem which occurs over and over again in our environment, and then describes the core of the solution to that problem, in such a way that you can use this solution a million times over, without ever doing it the same way twice.” “What is a design pattern?” from Design Patterns: Elements of Reusable Object-Oriented Software by Gamma et al., 1995
  • 11. Anti-Pattern An anti-pattern (or antipattern) is a common response to a recurring problem that is usually ineffective and often highly counterproductive
  • 12. ANTI-­‐PATTERN   Combined  Risk-­‐Time  Preferences What:  Capture  risk  and  .me-­‐preference  in  discount  rate   Descrip:on:  Use  capital  asset  pricing  model  (CAPM)  to  calculate  WACC.   Reason  this  is  undesirable:  Time  and  risk-­‐preference  get  conflated.   Conversa.ons  around  uncertainty  become  extremely  complicated,   and  are  therefore  avoided.   Example:  Financial  models  consistently  avoid  conversa.ons  on   uncertainty  by  reliance  on  models  that  automa.cally  calculated  betas   Related  Pa?ern:  Separated  Preferences
  • 13. PATTERN   Separated  Risk-­‐Time  Preferences Problem:  When  risk  and  .me-­‐preference  are  combined  in  the  discount  rate,   conversa.ons  around  uncertainty  become  incredibly  difficult  and  suffer  from  lack   of  clarity.   Solu:on:  Use  discount  rate  only  to  capture  .me-­‐preference  and  risk-­‐aItude  to   capture  risk-­‐tolerance.   Reason  this  is  desirable:  Time-­‐preference  is  about  how  much  we  value  future  money   today,  whereas  risk-­‐tolerance  is  about  how  much  uncertainty  we  can  tolerate.   These  are  two  separate  conversa.ons  that  we  know  how  to  conduct  with  clarity.   Example:  …   Related  An:-­‐Pa?ern:  Combined  Risk-­‐Time  preferences
  • 14. ANTI-­‐PATTERN   Discounted  Cashflow  (DCF)  Ranking What:  Opportuni.es  are  ranked  by  their  DCF   Reason  this  is  undesirable:  DCF  as  a  sole  metric  of  comparing  two  deals   is  problema.c  as  it  has  no  no.on  of  uncertainty  in  it.  This  oNen  results   in  a  misuse  of  the  discount  rate  to  (ineffec.vely)  incorporate   uncertainty.   Related  Pa?ern:  PCF  Ranking
  • 15. PATTERN   Probability-­‐weighted  Cash  Flow  Ranking Problem:  DCF  does  not  adequately  incorporate  our  thoughts  on   uncertainty.   Solu:on:  Weight  DCF  with  our  assessments  of  probability  to  produce  a   PCF-­‐ranking.   Related  An:-­‐pa?ern:  DCF  Ranking But wait - it’s not so simple! Just using PCF is problematic. It needs to be situated in a context of patterns that clarify preference metrics.
  • 16. List metrics that you’ve seen driving counterproductive behavior in a context METRIC: Discounted Cash Flow CONTEXT: Ranking Business Decisions DCF as a sole metric of comparing two deals is problematic as it has no notion of uncertainty in it and it is often based on Combined Risk-Time Preferences. This often results in a misuse of the discount rate to (ineffectively) incorporate risk attitude. REIDAR + SOMIK Story example Your name(s)
  • 17. List metrics that you’ve seen driving useful behavior in a context METRIC: Probability-weighted Discounted Cash Flow CONTEXT: Ranking Business Decisions By using Separated Risk-Time Preferences, we are able to drive good conversations around time and risk-preference, while at the same addressing uncertainty in a clear manner. REIDAR + SOMIK Story example Your name(s)
  • 18. List metrics that you’ve seen as somewhat neutral (neither helpful nor harmful) in a context METRIC: CONTEXT: Story Your name(s) example
  • 19. Please start your reflection writing (5 mins) METRIC: Discounted Cash Flow CONTEXT: Ranking Business Decisions DCF as a sole metric of comparing two deals is problematic as it has no notion of uncertainty in it and it is often based on Combined Risk-Time Preferences. This often results in a misuse of the discount rate to (ineffectively) incorporate risk attitude. 
 REIDAR + SOMIK METRIC: Probability-weighted Discounted Cash Flow CONTEXT: Ranking Business Decisions By using Separated Risk-Time Preferences, we are able to drive good conversations around time and risk-preference, while at the same addressing uncertainty in a clear manner. REIDAR + SOMIK METRIC: CONTEXT:
  • 20. Identify contexts of interest Area of Interest Table Leader Financial Steve Begg Advertising Elisabeth Browne Risk Management Chris
 Operational Christa Non-profit Victor Health Kwon Safety George Personal Elisabeth Browne Culture Change Jim Driscoll Environment Laura Rankings Robyn Oil & Gas Eric Business Carl
  • 21. Find Your Table Table leaders, take your seats Table leaders write down in bold on the flipchart the context you are anchoring Everyone else walk over to the table you want to be a part of. Only as many participants as there are chairs. Share your cards and discuss. Make new cards as necessary.
  • 22. Summarize your Discussion Metric Discount Rate Discounted CashFlow … USEFUL Story of context Capture Time Preferences Input to PCF- Ranking of alternatives … NEUTRAL Story of context … … … COUNTER- PRODUCTIVE Story of context Combined Risk-Time Preferences DCF-Ranking of alternatives … Take 5 mins
  • 23. Consolidation Table leaders paste your posters on the wall and consolidate columns across posters - take 5 minutes. Everyone else - think of other metrics/contexts that have been sparked in your mind from these discussions and make more cards. Take 5 minutes.
  • 24. Review Let’s take 10 minutes to review
  • 25. What did we learn? Let’s take 5 minutes to share Everyone else - walk over and read everyone’s cards. If a context is missing, add your own card to it. Take 10 minutes. e.g. you see a red card, where you think the metric has good uses, please make your green card and stick it up; and vice-versa
  • 26. Review stories Please walk over and read everyone’s cards. If a context is missing, add your own card to it. e.g. you see a red card, where you think the metric has good uses, please make your green card and stick it up; and vice-versa
  • 28. You can use images to summarize wisdom Net Cash Flow (NCF) Ignores time-value of money Harder to build on than NPV “Cash is king” - planning of cashflow Discounted Cash Flow Useinstead reason this is a pattern reason this is an anti-pattern reason this is an anti-pattern
  • 29. Example: Light on Two Sides of a Room
  • 30. Possible Patterns and Anti-Patterns on Metrics You may or may not agree These are shown as examples If some of these interest you, you can do a table discussion on it