introduction to project decision analysis
DESCRIPTION
Short overview of decision analysis in project management; project decision analysis workflow; introduction to psychology of judgement and decision-making in project management. For more information how to perform schedule risk analysis using RiskyProject software please visit Intaver Institute web site: http://www.intaver.com. About Intaver Institute. Intaver Institute Inc. develops project risk management and project risk analysis software. Intaver's flagship product is RiskyProject: project risk management software. RiskyProject integrates with Microsoft Project, Oracle Primavera, other project management software or can run standalone. RiskyProject comes in three configurations: RiskyProject Lite, RiskyProject Professional, and RiskyProject Enterprise.TRANSCRIPT
Decision-Making In Project Management
Introduction to project decision analysis
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Example: San Francisco Bay Bridge
• Beginning 2005 – Decision to stop construction• Later 2005 – Decision of continue construction based on
original project• Result: $81M cost overrun. Will be paid by California
taxpayers and toll payers
Burden of Poor Decisions
• Cost of poor decisions in pharmaceutical industry is passed to consumers
• Dry hole cost in oil and gas industry is passed to motorists• Wrong policy decisions by government will be passed to
taxpayers
• You paint your deck without properly removing old paint. You
have to do it again next year.
Why is decision-making so complicated ?
• Most problems in project management involve multiple objectives
• Project managers are always dealing with uncertainties • Project management problems may be very complex • Most projects include multiple stakeholders
How are decisions made?
Advocacy-basedapproach
Decision AnalysisProcess
Two decision-making approaches:
No uncertainties – No alternatives
No alternatives – No decisions
Do We Have a Solution?
Theory of Probabilityand
Statistics
Decision Analysis Process
Decision Science
Psychology of Judgment and
Decision Making
Human Judgment Is Always to Blame
• Insufficient Knowledge – 36% • Underestimation of influence – 16% • Ignorance, carelessness, neglect – 14% • Forgetfulness – 13% • Relying upon others without sufficient control – 9% • Objectively unknown situation – 7% • Other factors related to human error – 5%
A study by Swiss Federal Institute of Technology in Zurich analyzed 800 cases of structural failures where engineers were at fault. In these incidents 504 people were killed, 592 injured and millions of dollars of damage incurred.
Blink or Think?
Intuitive Thinking
Vulcans as Mr. Spock make logical choices, but not necessarily the best
When you think automatically and sometimes when you are analyzing a situation, you apply certain simplification techniques. We use these techniques due to limitations in our thinking mechanisms. In many cases, these simplification techniques can lead to wrong judgments.
Decision-Making Training
You may train yourself to overcome biases the same way as you train yourself to walk on the glass floor of Toronto’s CN Tower
Garbage In/Garbage Out:
Project managers know it
Uncertain input data
Advanced analytical tools
Useless results of analysis
Solutions:
1. Perform analysis based on reliable historical data
2. Track project performance and constantly refine data
Biases
• Cognitive – hard to detect, possible to mitigate by training • Motivational – easy to detect, hard to mitigate negative effect
30% 35% 40% 45% 50% 55% 60% 70%
Your judgment
Reality
What caused this error in judgment?
Bias is a discrepancy between somebody’s judgment and reality
Bias is a discrepancy between somebody’s judgment and reality
The Bank of Sweden Prize in Economic Sciences in Memory of Alfred Nobel 2002
Daniel Kahneman
for having integrated insights from psychological research
into economic science, especially concerning human
judgment and decision-making under uncertainty
Decision makers use “heuristics”, or general rule of thumb, to arrive to their judgments.
In certain instances they lead to systemic biases.
Heuristics and Biases
Representativeness – unwanted appeal to detailed scenarios
Availability – access the probability of an event by the ease with which instances can be brought to mind.
Anchoring – human tendency is to remain close to the initial estimate
Solution: establish an uncertainty management process in the organization
Some Heuristics in Probabilistic Business Modeling
Availability
Welcome to Our Friendly Casino
This year 168,368 people lost $560M here. 5% of our guests divorced, 1% became alcoholics, and 0.4%
committed suicide.
Selective Perception
• “I see what I want to see”• Overconfidence • Confirmation bias
External World Psychological Processes
Input Judgment
Lens of Cues
Edon Brunswik ‘s Lens Model
Selective Perception
• Are you motivated to see the project in a particular way? • What do you expect from this particular decision? • Would you be able to see project differently without these expectations
and motivational factors?
Behavioral Traps
• Sunk cost effect• Investment trap (Money Pit Movie)• Time delay (balance long-term and short-term goals)• Ignorance trap – usability to realize consequences of wrong
decisions for a long time• Deterioration trap (maintenance of legacy products)
Framing
Scenario 1: You are involved in a construction project worth $300 million and have discovered a new approach that would save $1 million. It will take you a lot of time and effort to do the drawings, perform structural analysis, and prepare a presentation that will persuade management to take this course. Would you do it?
Scenario 2: You are involved in an IT project worth $500,000 and discovered a way to save $80,000. You need to spend at least a couple of days for researching and putting together a presentation. Would you do it?
Scenario 3: You are involved in the same construction project as in Scenario 1 and found a way to save $80,000 (replace one beam) and need to spend a couple of days on research and the presentation. Would you do it?
Decision Analysis Manifesto
– We want the decision to be made rationally.– We want decision-making process to be transparent – We want to have a mechanism to correct mistakes
What do we want from decision analysis process?
Decision Analysis Process
Identification Problems or OpportunitiesAssessing Business SituationDetermining Success CriteriaIdentifying UncertaintiesGeneration Alternatives
Decision
Framing
Creating Models for Project AlternativeQuantifying Uncertainties
Modelling
the Situation
Analysis
QuantitativeDetermining What Is Most ImportantQuantifying Risks Associated with ProjectDetermining the Value of New InformationDeciding on a Course of Actions
Evaliation of the Decision ExperienceMonitoring the Project ImplementationImplementing the Best AlternativeImplemetation
MonitoringEvaluation
Risk Management PlanningRisk Identification
Risk Monitoring and Control
Qualitative Risk Analysis
Quantitative AnalysisRisk Response Planning
Steps of Decision Analysis Process Project Risk ManagementProcesses (PMBOK)
3D Principle of Decision Analysis
Decision Analysis Process vs. PMBOK© Guide Risk Management
Decision Analysis Process
PMBOK Risk Management Process
Tools and processes to manage risks
What is the rational choice?Decision policy is a set of principles or preferences used for selection alternatives.
Is he rational decision maker?Strong emphasis on profitability;
Low emphasis on the safety of adversaries and a strong emphasis on the security of its own employees with a special concern for management;
Low regard for following legal rules and regulations;
Strong emphasis on organizational structure including clear definitions of roles, responsibilities, and reporting;
Strong emphasis on fostering good relationships with the local community .
Rational behavior is behavior that maximizes the value of consequences and based on decision policy
Expected Value
For example, a big pharmaceutical company has two choices:
1. Continue developing a drug. The chance that it will get FDA approval is 80%. If the drug is approved, the company will get $800 million, but if it fails, the company will have lost the $200 million it in development costs (20% chance).
2. Buy another company that has already developed an FDA approved drug. The estimated profit will be $500 million dollars.
Decision Trees
Develop own
$500MBuy Company
FDA Approval
FDA ApprovalNo
20%
80%
-$200M
$800M
StrategyDecision
Expected value is a probability-weighted average of all outcomes. It is calculated by multiplying each possible outcome by its probability of occurring and then adding the result.
Utility Function
Objective Measure
Util
ity
(Money)
Utility reflects a preferences of decision-maker toward different factors, including profit, loss, and risk.
Risk Avoider vs. Risk Taker
Objective Measure
Util
ity
Risk Avoider
Risk Taker
Risk Neutral Decision Maker
Future Reading
Lev Virine and Michael Trumper
Project Decisions:
The Art and Science
Management Concepts, Vienna, VA, 2007
Lev Virine and Michael Trumper
Project Think:Why Good Managers Make Poor Project Choices
Gower, 2013
Questions?