Decision Teamwork In Uncertain Meeting Environments Using

Slides:



Advertisements
Similar presentations
Proposals Technical Writing. Proposals O different guises O document written by a person, business, or agency who wishes to perform a job or solve a problem.
Advertisements

PLEASE READ THE NOTES!  Important information and instructions are provided in the Notes section of the slides.
May, 2005(c) 2005, US Civilian R&D Foundation1 The U.S. Civilian Research and Development Foundation (CRDF) Industry Partner Development Program (PDP)
Business Project Nicos Rodosthenous PhD 08/10/2013 1
Helpful hints for planning your Wednesday investigation.
Sponsored by: Creating momentum in the project and business Tony Bassett - ECS.
FOR MORE CLASSES VISIT  COM 537 Week 1 Individual Assignment Integrated Diffusion Paper  COM 537 Week 1 DQ 1  COM 537 Week 1 DQ.
HCS 465 OUTLET Experience Tradition /hcs465outlet.com FOR MORE CLASSES VISIT
Code Simplicity: Software Design In Open Source Projects Max Kanat-Alexander
–A case study of multilingual international students in the business school Xiaoqiong You University of New Hampshire WHAT IS GOOD.
PROBLEM SOLVING. Definition The act of defining a problem; determining the cause of the problem; identifying, prioritizing and selecting alternatives.
Collaborative & Interpersonal Leadership
Conducting Market Research
Module 1: Overview of Information System in Organizations
Data quality & VALIDATION
Inquiry-Based Instruction
Practice Change Fellowship
Marketing Performance Metrics
MEETINGS Reference: Pinner, D, 1998, Communication Skills, Addison Wesley Longman New Zealand Limited, pp
Title Date: NAME: Phone: ORGANISATION: CONFIDENTIAL.
Return on Investment of the Recruiting Process
Chapter 8: Making decisions in the educational Arena
Return on Investment of the Recruiting Process
Evaluation through user participation
MEETINGS Reference: Pinner, D, 1998, Communication Skills, Addison Wesley Longman New Zealand Limited, pp
PROBLEM SOLVING June 2010 CANADIAN COAST GUARD AUXILIARY - PACIFIC.
End to End Testing– Are we doing too Much?
Language Technologies Institute Carnegie Mellon University
Readiness Consultations
© 2010 South-Western, Cengage Learning, Inc. All rights reserved.
MANAGEMENT RICHARD L. DAFT.
MIRA, SVM, k-NN Lirong Xia. MIRA, SVM, k-NN Lirong Xia.
Information Systems: Concepts and Management
Dr. Rob Hasker SE 3800 Note 3 Ch. 4, 5.
Scientific Method What is the Scientific Method?
Creating Survey and Interview Questions
Table of Contents SECTION SLIDE # 5 8 ABOUT YOU 3 OUT-OF-CLASS SEGMENT
Customer Satisfaction
FEASIBILITY STUDY Feasibility study is a means to check whether the proposed system is correct or not. The results of this study arte used to make decision.
Show Your Plan to the World
Contracting Officer Podcast Slides
Social Media and PR Strategies
MTM Tools key to running
SQL Server BI on Windows Azure Virtual Machines
Mapping it Out! Practical Tools to Use Assessment Well
Chapter 2 The Process of Design.
Chapter 1 Database Systems
Forging the Innovation Generation
Starting a Performance Based Testing Program:
Improve Phase Wrap Up and Action Items
Welcome to Naviance at Lowell High School
Project Title and/or Start-up Company’s Name
EC Strategy, Globalization, and SMEs
Water Services Trust Fund
Your Standards TODAY’S FLOW MORNING: Standards & 1st Unit Curriculum
Understanding and Planning Business Reports and Proposals
Effective Questioning
The challenges of probabilistic forecasts
Chapter 1 Database Systems
Structured Networking After Action Review (Pause and Learn)
Short Reports Module Twenty Three McGraw-Hill/Irwin
Effective Questioning
How to get started & What you need to know
Managerial Decision Making and Evaluating Research
Startup/ Idea LOGO Business Plan Competition
MIRA, SVM, k-NN Lirong Xia. MIRA, SVM, k-NN Lirong Xia.
MPATE-GE 2626: Thesis in Music Technology
The Realities of Client Behavior
A Commercialization Strategy for (your business/company name)
Wide Ideas Idea Management Software Idea Management Process
Presentation transcript:

Decision Teamwork In Uncertain Meeting Environments Using Six State Logic (6SL) By Michael Klasen (mike@ciusers.com)

Today’s 6SL Topics Future 6SL Topics Team Decision Challenges Six State Logic Definition Meeting Management Tools Product Ideation Process Next Steps Human Machine Dialog Database Search Matching Networks Universal Translation IoT Application Programming Super Intelligences (AI) Today we will define meeting challenges, define Six State Logic and its related meeting management tools as a solution and finish up with a general ideation process I have successfully used at Eaton Corporation. We will not talk about the also exciting topics to the right, but I encourage you to see my YouTube channel and WordPress blog for more information about these topics.

Team Decision Meeting Challenges We need meetings to make decisions in uncertain environments General recommendation is 5 independent perspectives Meeting participation and opportunity costs are expensive 1 Week of 8 person meetings ($75/hr./person) cost $24,000 + opportunity Significant productivity needed to justify meeting costs Uncertain topics otherwise delegated or ignored - Innovation Killer No method to improve uncertain meeting environments exists Today you will see the 6SL solution Read slide

Innovation Killing Meetings Issues Meetings go overtime and agenda items are dropped Decisions delegated to people without team knowledge Consensus under pressure defaults to “follow the boss” Participation is too brief, too verbose or non-existent Uncertainty becomes a tool to capture agenda control Read slide

Six State Logic (6SL) Defined Definitely Positive Seems Positive Marginally Positive Known Positive Vs. Definite Negative Seems Negative Marginally Negative Known Negative Uncertain 6SL is simpler than explaining the deficiencies of digital logic (Clarification requires meetings, people and language skills, etc.)

Six State Logic Defined Known Positive Negative Uncertain Mixed Seems Seems Negative Blended states are common Known Mixed  Uncertain Reasons why match state Actions match state

6SL Enables Clear and Simple Q&A Ask Simple Questions Choose State, Explain Why Known Positive Negative Uncertain Mixed Seems Seems Negative

6SL Enables Clear and Simple Q&A Choose State, Explain Why Known Positive Negative Uncertain Mixed Seems Seems Negative Ask Simple Questions No Need For Perfect Questions Unclear Answers Complex Surveys

Pause

If this presentation was 6SL enabled, I would ask “Do you understand 6SL this far?” and you would provide a 6SL response and reason. We would then review negative/uncertain responses, if any, before moving on. Impromptu and easy to manage surveys is a key 6SL educational meeting application.

Continue to 6SL Team Consensus Tools

6SL State Justifications 6SL State Justified Actions Six State Logic Decision Support 6SL States 6SL State Justifications 6SL State Justified Actions Known Positive Indisputable positive reason Positive action Seems Positive Positive and uncertain reasons Threshold for positive action Mixed Equal choice reason Reason for indecision Make decision without delay Uncertain Uncertain reason Avoid decision and seek info Seems Negative Negative and uncertain reasons Threshold for negative action Known Negative Indisputable negative reason Negative action Mixed vs. Unknown Confusion is a Common Bad Decision Practice

Alternative Six State Logic Format 100% Known Positive Negative Uncertain Mixed Seems Seems Negative Known Positive Seems Positive 75% = Mixed Uncertain Seems Negative Known Negative 0% Indecision is = Mixed Choice and/or Uncertainty (Separated for Decisions) Indecision direct measure is for indications of desire (For Search, etc.)

6SL Consensus Definition Advantages Known Positive Negative Uncertain Mixed Seems Positive Seems Negative Clear definition of what consensus result is being agreed to Specific enough consensus result to support action General enough consensus result to avoid bogging down in details Easily supports multiple reasons and paths to same result

6SL Consensus Algorithm 1: Review If NO Then #2 Review Results In Certain Order and Reevaluate #3 Sufficient Consensus? #1 Evaluate Evaluation Result Evaluation Result Evaluation Result If YES Then Done

6SL Consensus Algorithm 2: Voting #2 Choose Best of Two (AHP) Evaluation Result #3 Use Majority Threshold Decision Evaluation Result #1 Evaluate Evaluation Result

6SL Consensus Algorithm 3: Weighting If NO Then Review Score Justifications and Reevaluate #2 Review Weighted Evaluation Result #3 Sufficient Consensus? #1 Evaluate Evaluation Result x 3.0 Evaluation Result x 0.5 Evaluation Result x 1.0 Consensus Threshold If YES Then Done

Pause

Assume you are a 30 person investment team My presentation time is up. You need a consensus decision to invite me to “invest-fest” or not Ask team “Should we invite Michael to invest-fest?” Set timer 5 min and run 6SL consensus algorithm(s) Inform me of real-time-decision AND give me helpful decision statistics and reasons why

Continue to 6SL New Product Ideation Process

Example New Product Ideation Process Review Ideation Goals, Obstacles, History Collect Ideas anytime anywhere* 6SL Multiple Perspective Evaluation 6SL Dense Status Dashboard Results 6SL Ideation Automation *Improved 6SL productivity reduces real of process overload

Financial Performance Commercial Acceptance Multiple Perspective Evaluations Strategy Match Financial Performance 36 Point Helpful Contrast Summary Evaluation Variables Descriptive Evaluation Variables Technology Control Operational Readiness Commercial Acceptance Hardware Software Knowledge Human Resources

Feasibility Evaluation and Dashboard Known Positive Known Negative Uncertain Mixed Seems Positive Seems Negative What is the current status? Is the status trend improving? Can we act to improve status? Strategy Finance Technology Operations Commercial Select Six State Result to See Justification

General 6SL Presentation Conclusions Ideation Process Automation Goals General 6SL Presentation Conclusions New Idea Entry and Research Share and Evaluate Ideas Idea Portfolio Management Performance Metrics 6SL Defines a minimal complexity improvement to Greek digital logic 6SL Improves communication data quality, simplicity, density, validity, decision linkages, speed, ease-of-use Today I showed how 6SL Improves applications like Q&A, surveys, teamwork decisions, ideation, etc.

Michael Klasen, PhD Mobile: (503) 442 6524 Skype: michaelklasen Email: mike@ciusers.com Website: http://ciusers.com YouTube Channel: Search Michael Klasen LinkedIn: http://linkedin.com/in/klasen Twitter: http://twitter.com/michaelklasen