The Decision-making Process

Thoughts, Ideas and Practice
Decision-making
 As

defined by Baker et al in their 2001
study, “efficient decision-making involves a
series of steps that require the input of
information at different stages of the
process, as well as a process for feedback”.
Decisions
•Made up of a composite of information,
data, facts and belief.
•Data by itself does not constitute useful
information unless it is analyzed and
processed.
A Decision
 Is

only as good as the data that informed it
 Is only as good as it is an informed one
 Is only as good as the system which exists
to implement
 Is only good if you have the means to
implement it
 Is only good if other people understand it
and what it means
The Ideal Decision-making
Process
STEP 1
Define the problem

STEP 2
Determine the
requirements that the
solution to the
problem must meet

STEP 3
Establish goals that
solving the problem
should accomplish

STEP 4
Identify alternatives
that will solve the
problem

STEP 5
Develop valuation
criteria based on the
goals

STEP 6
Select a decisionmaking Tool

STEP 7
Apply the tool to
select a
preferred alternative

STEP 8
Check the answer
to make sure it
solves the problem

The Decision-making Process (adapted from Baker et al, 2001)
The Reality
 Is

the Problem really the problem?
Problems are often the symptom and not the
true problem.
 Most often that not steps 5-8 are either
forgotten, avoided or simply ignored.
 Urgency – is there a quick version?
 Who has time to follow-up? Tomorrow is
another problem.
The Reality
 Is

the Problem really the problem?
Problems are often the symptom and not the
true problem.
 Most often that not steps 5-8 are either
forgotten, avoided or simply ignored.
 Urgency – is there a quick version?
 Who has time to follow-up? Tomorrow is
another problem.

More Related Content

PPT
Decision making process
PPT
Decision making process
PPTX
Businessintelligence101
DOC
Action research model in od
PPTX
A Preliminary Evaluation of Patient Recruitment Models to an Electronic Share...
PPTX
1 introduction research
PPT
Ems207 week2-intro
PPT
Law and order big challenge for pakistan
Decision making process
Decision making process
Businessintelligence101
Action research model in od
A Preliminary Evaluation of Patient Recruitment Models to an Electronic Share...
1 introduction research
Ems207 week2-intro
Law and order big challenge for pakistan

Similar to Decision making process (20)

PPT
decision-making process thoughts ideas and practice
PPT
Decision Making United Nations Lecture MA
PPT
decision-making_process grade 11 organization and management.ppt
PPT
decision-making_process.ppt devil Devi Devi Devi Devi
PPT
The Decision-Making for the managmentProcess.ppt
PPT
The Decision-Making for the managmentProcess.ppt
PPTX
HRMIS Decision Support System chapter 7 p
PPTX
Critical Thinking, Problem Solving, and Decision Making
PPTX
Decision Making Process
PPTX
Decision Making
PPTX
Decision making process
PPTX
Business Organization Team Presentation
PPTX
module4decisionmaking-220417174409.pptx assignment
PPTX
Decision making (ppt)
PPTX
Group # 4hjlgdlgdldkhjfdldykyhdyirey.pptx
PPTX
Decision_Making.pptx
PPTX
Decisionmaking
PPTX
Ch 5 diagnosing.pptx Change Management and Organizational Development
PPTX
WEEK 9 - DATA COLLECTION GUIDELINES COMPACT.pptx
PPTX
Effective decision making
decision-making process thoughts ideas and practice
Decision Making United Nations Lecture MA
decision-making_process grade 11 organization and management.ppt
decision-making_process.ppt devil Devi Devi Devi Devi
The Decision-Making for the managmentProcess.ppt
The Decision-Making for the managmentProcess.ppt
HRMIS Decision Support System chapter 7 p
Critical Thinking, Problem Solving, and Decision Making
Decision Making Process
Decision Making
Decision making process
Business Organization Team Presentation
module4decisionmaking-220417174409.pptx assignment
Decision making (ppt)
Group # 4hjlgdlgdldkhjfdldykyhdyirey.pptx
Decision_Making.pptx
Decisionmaking
Ch 5 diagnosing.pptx Change Management and Organizational Development
WEEK 9 - DATA COLLECTION GUIDELINES COMPACT.pptx
Effective decision making
Ad

Recently uploaded (20)

PDF
NewMind AI Weekly Chronicles – August ’25 Week III
PPTX
observCloud-Native Containerability and monitoring.pptx
PPTX
MicrosoftCybserSecurityReferenceArchitecture-April-2025.pptx
PPTX
Modernising the Digital Integration Hub
PPTX
Group 1 Presentation -Planning and Decision Making .pptx
PDF
August Patch Tuesday
PDF
A comparative study of natural language inference in Swahili using monolingua...
PDF
sustainability-14-14877-v2.pddhzftheheeeee
PDF
TrustArc Webinar - Click, Consent, Trust: Winning the Privacy Game
PDF
A contest of sentiment analysis: k-nearest neighbor versus neural network
PDF
Getting started with AI Agents and Multi-Agent Systems
PPTX
Tartificialntelligence_presentation.pptx
PDF
Microsoft Solutions Partner Drive Digital Transformation with D365.pdf
PDF
Zenith AI: Advanced Artificial Intelligence
PPT
Module 1.ppt Iot fundamentals and Architecture
PDF
Taming the Chaos: How to Turn Unstructured Data into Decisions
PDF
A review of recent deep learning applications in wood surface defect identifi...
PDF
Assigned Numbers - 2025 - Bluetooth® Document
PPTX
Web Crawler for Trend Tracking Gen Z Insights.pptx
PDF
Univ-Connecticut-ChatGPT-Presentaion.pdf
NewMind AI Weekly Chronicles – August ’25 Week III
observCloud-Native Containerability and monitoring.pptx
MicrosoftCybserSecurityReferenceArchitecture-April-2025.pptx
Modernising the Digital Integration Hub
Group 1 Presentation -Planning and Decision Making .pptx
August Patch Tuesday
A comparative study of natural language inference in Swahili using monolingua...
sustainability-14-14877-v2.pddhzftheheeeee
TrustArc Webinar - Click, Consent, Trust: Winning the Privacy Game
A contest of sentiment analysis: k-nearest neighbor versus neural network
Getting started with AI Agents and Multi-Agent Systems
Tartificialntelligence_presentation.pptx
Microsoft Solutions Partner Drive Digital Transformation with D365.pdf
Zenith AI: Advanced Artificial Intelligence
Module 1.ppt Iot fundamentals and Architecture
Taming the Chaos: How to Turn Unstructured Data into Decisions
A review of recent deep learning applications in wood surface defect identifi...
Assigned Numbers - 2025 - Bluetooth® Document
Web Crawler for Trend Tracking Gen Z Insights.pptx
Univ-Connecticut-ChatGPT-Presentaion.pdf
Ad

Decision making process

  • 2. Decision-making  As defined by Baker et al in their 2001 study, “efficient decision-making involves a series of steps that require the input of information at different stages of the process, as well as a process for feedback”.
  • 3. Decisions •Made up of a composite of information, data, facts and belief. •Data by itself does not constitute useful information unless it is analyzed and processed.
  • 4. A Decision  Is only as good as the data that informed it  Is only as good as it is an informed one  Is only as good as the system which exists to implement  Is only good if you have the means to implement it  Is only good if other people understand it and what it means
  • 5. The Ideal Decision-making Process STEP 1 Define the problem STEP 2 Determine the requirements that the solution to the problem must meet STEP 3 Establish goals that solving the problem should accomplish STEP 4 Identify alternatives that will solve the problem STEP 5 Develop valuation criteria based on the goals STEP 6 Select a decisionmaking Tool STEP 7 Apply the tool to select a preferred alternative STEP 8 Check the answer to make sure it solves the problem The Decision-making Process (adapted from Baker et al, 2001)
  • 6. The Reality  Is the Problem really the problem? Problems are often the symptom and not the true problem.  Most often that not steps 5-8 are either forgotten, avoided or simply ignored.  Urgency – is there a quick version?  Who has time to follow-up? Tomorrow is another problem.
  • 7. The Reality  Is the Problem really the problem? Problems are often the symptom and not the true problem.  Most often that not steps 5-8 are either forgotten, avoided or simply ignored.  Urgency – is there a quick version?  Who has time to follow-up? Tomorrow is another problem.