The cognitive biases and fallacies that trick us into believing our plans are accurate and achievable, that people are the only barriers to a plans success and that keep us tied to our plans long after they are proved to be hopelessly wrong.
http://verraes.net
The project was of to a bad start: an inherited legacy codebase, a waterfall contract, and a projected loss. The promise of Kaizen or Continuous Improvement seemed very appealing. But when we tried to incorporate this into our process, it didn’t catch on. Biweekly retrospectives didn’t seem to expose any problems we could improve upon. The ceremonies we tried, like Deming’s Plan-Do-Check-Act cycles, added too much overhead. We were doing something wrong.
Continuous Improvement implies that you know exactly where to focus your efforts. Like scientists, we started to experiment, without deciding upfront what we expected the outcome to be. The rules? Make every experiment as small as possible. No meetings, no consensus, no cumbersome evaluation process. We let the results speak for themselves. This talk explores the successes and failures of a team that went from survival mode to learning mode over the course of a year.
5 Whys: Originally developed by Sakichi Toyoda and used within the Toyota Motor Corporation during the evolution of its manufacturing methodologies, 5 Whys is a basic component of problem-solving. By asking ‘Why’ 5 times it encourages the problem solver to avoid assumptions and logic traps and trace the chain of causality from the effect seen through to a root cause. The real root cause should point toward a process that is not working well or does not exist.
This document provides guidance on how to start thinking like a data scientist. It recommends starting with a question that interests you and developing a plan to collect relevant data to answer the question. It stresses the importance of trusting the data collected and addressing any gaps. The document advises visualizing the data through pictures to help understand and communicate findings. It also emphasizes determining the significance of the results by asking "so what?" and ensuring findings are both interesting and important before concluding the analysis.
TDAmeritrade Holiday Spending and Behavioral EconStephen Wendel
How can get through the holidays without blowing you budget and stressing out over money? Here are the slides from a webcast with TD Ameritrade that shows you
1) Tips you can use to keep yourself on track
2) How to outsmart the tricks retailers use to make you spend more
3) What the research shows about what gifts are effective and memorable.
Enjoy!
Redevelop 2019 - Debugging our biases and intuition in software developmentDave Hulbert
We program algorithms with shortcuts known as heuristics. These allow us to get a good enough answer to a problem with less CPU and memory usage. Brains attempt to take shortcuts too, using intuition and biases to figure things out with less thinking or knowledge. Heuristics are valuable but they're not perfect. We can evaluate best and worst cases for code but how do we do the same with our own decision making process?
In this talk, we'll go through the ups and downs of heuristics and biases that exist in a developer's world. We'll look at ways to reduce any resulting fallacies, whilst still taking advantage of the performance improvement.
SASCon 2015 - Small Changes, Big ResultsDave Gowans
A common misconception in conversion optimisation is that you need to make big changes to your site to get big results. The impact of changes on the site are, however, directly related to the strength of the hypothesis, rather than the size of the change.
This is a simple model for finding the biggest barriers to conversion and how to deliver small, effective changes which have a huge impact on conversion rates.
- An analysis of smile sheet feedback from a target audience on a website found that most responses were positive, rating elements as "exceeds expectations" or "far exceeds expectations."
- One person suggested adding a drop-down menu for steps instead of roll-over buttons for usability.
- Issues with Java and Flash were noted for some, but help tips on the site were still found to be useful.
The keynote speech discusses how organizations can better utilize large amounts of data to improve marketing decisions. While data analytics provide opportunities, many big data projects fail to meet expectations or improve decisions due to human biases. The speech recommends adopting lean startup principles of making hypotheses explicit, visualizing metrics, and implementing a build-measure-learn process to test ideas quickly. Combining both traditional analytical skills and big data approaches is important to effectively leverage data for smarter marketing decisions.
http://verraes.net
The project was of to a bad start: an inherited legacy codebase, a waterfall contract, and a projected loss. The promise of Kaizen or Continuous Improvement seemed very appealing. But when we tried to incorporate this into our process, it didn’t catch on. Biweekly retrospectives didn’t seem to expose any problems we could improve upon. The ceremonies we tried, like Deming’s Plan-Do-Check-Act cycles, added too much overhead. We were doing something wrong.
Continuous Improvement implies that you know exactly where to focus your efforts. Like scientists, we started to experiment, without deciding upfront what we expected the outcome to be. The rules? Make every experiment as small as possible. No meetings, no consensus, no cumbersome evaluation process. We let the results speak for themselves. This talk explores the successes and failures of a team that went from survival mode to learning mode over the course of a year.
5 Whys: Originally developed by Sakichi Toyoda and used within the Toyota Motor Corporation during the evolution of its manufacturing methodologies, 5 Whys is a basic component of problem-solving. By asking ‘Why’ 5 times it encourages the problem solver to avoid assumptions and logic traps and trace the chain of causality from the effect seen through to a root cause. The real root cause should point toward a process that is not working well or does not exist.
This document provides guidance on how to start thinking like a data scientist. It recommends starting with a question that interests you and developing a plan to collect relevant data to answer the question. It stresses the importance of trusting the data collected and addressing any gaps. The document advises visualizing the data through pictures to help understand and communicate findings. It also emphasizes determining the significance of the results by asking "so what?" and ensuring findings are both interesting and important before concluding the analysis.
TDAmeritrade Holiday Spending and Behavioral EconStephen Wendel
How can get through the holidays without blowing you budget and stressing out over money? Here are the slides from a webcast with TD Ameritrade that shows you
1) Tips you can use to keep yourself on track
2) How to outsmart the tricks retailers use to make you spend more
3) What the research shows about what gifts are effective and memorable.
Enjoy!
Redevelop 2019 - Debugging our biases and intuition in software developmentDave Hulbert
We program algorithms with shortcuts known as heuristics. These allow us to get a good enough answer to a problem with less CPU and memory usage. Brains attempt to take shortcuts too, using intuition and biases to figure things out with less thinking or knowledge. Heuristics are valuable but they're not perfect. We can evaluate best and worst cases for code but how do we do the same with our own decision making process?
In this talk, we'll go through the ups and downs of heuristics and biases that exist in a developer's world. We'll look at ways to reduce any resulting fallacies, whilst still taking advantage of the performance improvement.
SASCon 2015 - Small Changes, Big ResultsDave Gowans
A common misconception in conversion optimisation is that you need to make big changes to your site to get big results. The impact of changes on the site are, however, directly related to the strength of the hypothesis, rather than the size of the change.
This is a simple model for finding the biggest barriers to conversion and how to deliver small, effective changes which have a huge impact on conversion rates.
- An analysis of smile sheet feedback from a target audience on a website found that most responses were positive, rating elements as "exceeds expectations" or "far exceeds expectations."
- One person suggested adding a drop-down menu for steps instead of roll-over buttons for usability.
- Issues with Java and Flash were noted for some, but help tips on the site were still found to be useful.
The keynote speech discusses how organizations can better utilize large amounts of data to improve marketing decisions. While data analytics provide opportunities, many big data projects fail to meet expectations or improve decisions due to human biases. The speech recommends adopting lean startup principles of making hypotheses explicit, visualizing metrics, and implementing a build-measure-learn process to test ideas quickly. Combining both traditional analytical skills and big data approaches is important to effectively leverage data for smarter marketing decisions.
Practical Data Strategies in the real world of poor Data QualityAndrew Patricio
My presentation for EDW 2017
Foundation
Data Effectiveness
Data Sophistication
Data Prioritization
Consistency, Relevancy, Accuracy
Data Quality Culture
Reporting platform
Managing Requests
Summary
Accepting the Truth at Work: 3 Practical Tools Janice Fraser
Mind the Product, 2018 London. This talk provides three practical tools that product leaders can use to uncover, accept, and act on what is true—so that you can be less grumpy and more effective at work. Because isn't that what we all enjoy? The feeling that we're doing good work, and that it's working?
(UBAD Model for Buy-In by Janice Fraser is licensed under Creative Commons Attribution-NoDerivatives License 4.0 International.)
The document discusses root cause analysis (RCA), a problem-solving method aimed at identifying the underlying causes of problems. RCA seeks to address root causes rather than superficial symptoms, in order to minimize the likelihood of recurrence. It should be performed systematically and conclusions backed by evidence. Examples demonstrate using the "5 Whys" technique to trace a problem back to its root cause by asking "Why?" in iterative steps. Criticism notes the difficulty of truly identifying a single root cause, and that addressing actionable causes may be more practical.
When confronted with a problem, have you ever stopped and asked "why" five times? The Five Whys technique is a simple but powerful way to troubleshoot problems by exploring cause-and-effect relationships.
This document discusses using the 5 Whys technique for root cause analysis. It begins by explaining why root cause analysis is used, which is to find the root causes of complex problems. It then provides an overview of the 5 Whys process, which involves identifying the problem, asking why it occurred, and repeating until the root cause is uncovered. As an example, it analyzes a problem where gloves were unexpectedly mixed into rubber compound using 5 Whys. It determines through iterative questioning that the root cause was lack of trash bins for glove disposal in the production area. Corrective actions included removing contaminated rubber and remilling, while preventative action was to provide trash bins.
This document summarizes the results of a survey about sleep habits that was completed by 82 respondents. The survey included questions about respondents' gender, relationship status, whether they remember and record their dreams, meditation and sleeping aid habits, sleep environment preferences, and spiritual beliefs. The summary provides the response percentages and counts for each multiple choice question in the survey.
Cheetah Digital Data Masterclass_How to get more value from your dataCheetah Digital
In this talk Daniel Kennedy, Head of Consulting - Cheetah Digital, delved into the top five ways marketers can start to get actionable insights from data:
Set meaningful objectives
Structure your approach to discoverh
Automate what can, prioritise what you can't
Free your data and analytics
Stay focused and purposeful
This is a summary of the blogs by Eric Ries on the Five Whys at http://startuplessonslearned.blogspot.com/2008/11/five-whys.html. It was used for an internal presentation at Cogent Consulting. If Eric or anyone else thinks this should not be public I will take it down, but I hope I'll drive (a little) more traffic to his blog :-)
The document discusses evaluation in government and provides recommendations to improve it. It notes that there is no comprehensive overview of evaluation coverage and gaps. While chief analysts recognize poor quality evidence, evaluations vary significantly in robustness, and poorly done evaluations tend to make bold claims. Many spending decisions did not refer to existing evaluation evidence. The recommendations are to improve the quality of evaluations, increase their use in policy decisions, address gaps in coverage, and allocate more resources to evaluation.
How to Increase Your Testing Success by Combining Qualitative and Quantitativ...Optimizely
Hiten Shah, President and Co-Founder, KISSmetrics and Crazy Egg
The majority of A/B tests that you run end up failing. Wouldn't it be great if you could increase your chance of success?
In this session Hiten Shah, President and Co-Founder of KISSmetrics and Crazy Egg provides a framework and examples of how to increase your success rate by using both qualitative and quantitative tactics. Learn how to design great experiments by understanding more about your visitors, users and customers.
The document discusses the 5 Whys technique, which is used to determine the root cause of problems. It involves iteratively asking "why" five times to explore cause-and-effect relationships. An example shows asking "why" five times to determine that the root cause of a vehicle not starting was a lack of proper maintenance. It notes that the technique focuses on identifying process failures rather than people failures. While simple and robust, it also has drawbacks like being point-of-view based rather than data-driven. A second example looks at a customer being unhappy with a late project and identifies the root cause as a lack of proper planning due to being behind on other projects.
Digital Experiments - Action Design DC 10 Sept 15Stephen Wendel
1. Digital experiments, also known as A/B tests, involve making small changes to digital content and randomly assigning users to different versions to measure the impact of changes.
2. They provide an unambiguous way to measure the impact of changes through randomized controlled experiments, helping teams find problems, save time and money, and improve performance.
3. The presentation provides examples of how to structure different types of digital experiments and tools for implementing experiments on websites, apps, email and more.
4. User research is important to guide the questions being tested to ensure experiments are strategic and focused on key areas of impact.
How to Get More Value from Your Social DataAnna OBrien
Creating a meaningful insight is similar to baking a cake, with out the write ingredients, proper recipe, and something bake the batter- you'll struggle to produce something people want to consume. This deck explores at a high level how to work with data at each stage of the process. It is meant for anyone working with data- from savants to noobs.
Workshop on Root Cause Analysis tools: Ask Why five times and fishbone (Ishikawa) diagram. I use this to teach basic concepts and give people an experience of using the tools.
The Pistoia Alliance Conference in April 2011 included a series of 10-minute "lightning talks" from vendors about what they think pharma will look like in 2020. This presentation was delivered by Nick Encina of Wingu.
Stress Testing to Guide the Asset Allocation DecisionAlton Cogert
With financial market volatility materially rising across practically all asset classes, we have heard the concerns of several insurers as it relates to the impact on Surplus. SAA will discuss our findings and research addressing these concerns.
This document summarizes PSI as a clinical research organization (CRO). It discusses PSI's global operational presence in 57 countries and 33 offices with over 1,600 staff. PSI is ranked as the number one CRO by investigative sites in two CenterWatch Global Investigative Site Relationship Surveys in 2015 and 2017. The document highlights positive feedback from Gabrail Cancer Center who has worked with PSI on six clinical trials and found their teams to be accessible, helpful, knowledgeable and consistent throughout projects.
This document provides an overview of 5 Why analysis, a root cause analysis tool. It discusses when to use 5 Why analysis, such as for recurring errors or quality issues. The general guidelines for 5 Why analysis include using a cross-functional team, asking "why" until the root cause is uncovered, and ensuring corrective actions address root causes rather than just symptoms. Examples of applying 5 Why analysis to problems like a vehicle not starting and long assembly times are also provided. Potential problems that can occur with 5 Why analysis include stopping at symptoms rather than root causes and different conclusions from different people.
The document describes the Kepner-Tregoe troubleshooting methodology, which consists of four steps: 1) Situational Appraisal to clarify and prioritize the situation, 2) Problem Analysis to find the root cause, 3) Decision Analysis to select the best solution, and 4) Potential Problem Analysis to avoid future problems. Each step involves specific processes like describing the problem, identifying possible causes, evaluating alternatives, and taking preventive action. The methodology aims to effectively resolve issues through a systematic approach.
D. Aitcheson. How to make forecasts that are actually accurate.Agile Lietuva
If you're fed up with endless arguments, over whether a story should be 3 points or 5 points? Irritated with having to provide estimates to your management that you know are probably going to be wrong? We investigated that there's a BETTER WAY. Can we make the unpredictable world of product development a little more predictable?
In this session, Gavin Kelly and Rob Girling, co-founders and principals of design and innovation company Artefact, will explore how crowdsourcing together with a strong maker culture can propel companies on a path to invention and innovation. Using their own experience in building an innovation platform, they will share insight and lessons on how to build a culture of innovation.
Practical Data Strategies in the real world of poor Data QualityAndrew Patricio
My presentation for EDW 2017
Foundation
Data Effectiveness
Data Sophistication
Data Prioritization
Consistency, Relevancy, Accuracy
Data Quality Culture
Reporting platform
Managing Requests
Summary
Accepting the Truth at Work: 3 Practical Tools Janice Fraser
Mind the Product, 2018 London. This talk provides three practical tools that product leaders can use to uncover, accept, and act on what is true—so that you can be less grumpy and more effective at work. Because isn't that what we all enjoy? The feeling that we're doing good work, and that it's working?
(UBAD Model for Buy-In by Janice Fraser is licensed under Creative Commons Attribution-NoDerivatives License 4.0 International.)
The document discusses root cause analysis (RCA), a problem-solving method aimed at identifying the underlying causes of problems. RCA seeks to address root causes rather than superficial symptoms, in order to minimize the likelihood of recurrence. It should be performed systematically and conclusions backed by evidence. Examples demonstrate using the "5 Whys" technique to trace a problem back to its root cause by asking "Why?" in iterative steps. Criticism notes the difficulty of truly identifying a single root cause, and that addressing actionable causes may be more practical.
When confronted with a problem, have you ever stopped and asked "why" five times? The Five Whys technique is a simple but powerful way to troubleshoot problems by exploring cause-and-effect relationships.
This document discusses using the 5 Whys technique for root cause analysis. It begins by explaining why root cause analysis is used, which is to find the root causes of complex problems. It then provides an overview of the 5 Whys process, which involves identifying the problem, asking why it occurred, and repeating until the root cause is uncovered. As an example, it analyzes a problem where gloves were unexpectedly mixed into rubber compound using 5 Whys. It determines through iterative questioning that the root cause was lack of trash bins for glove disposal in the production area. Corrective actions included removing contaminated rubber and remilling, while preventative action was to provide trash bins.
This document summarizes the results of a survey about sleep habits that was completed by 82 respondents. The survey included questions about respondents' gender, relationship status, whether they remember and record their dreams, meditation and sleeping aid habits, sleep environment preferences, and spiritual beliefs. The summary provides the response percentages and counts for each multiple choice question in the survey.
Cheetah Digital Data Masterclass_How to get more value from your dataCheetah Digital
In this talk Daniel Kennedy, Head of Consulting - Cheetah Digital, delved into the top five ways marketers can start to get actionable insights from data:
Set meaningful objectives
Structure your approach to discoverh
Automate what can, prioritise what you can't
Free your data and analytics
Stay focused and purposeful
This is a summary of the blogs by Eric Ries on the Five Whys at http://startuplessonslearned.blogspot.com/2008/11/five-whys.html. It was used for an internal presentation at Cogent Consulting. If Eric or anyone else thinks this should not be public I will take it down, but I hope I'll drive (a little) more traffic to his blog :-)
The document discusses evaluation in government and provides recommendations to improve it. It notes that there is no comprehensive overview of evaluation coverage and gaps. While chief analysts recognize poor quality evidence, evaluations vary significantly in robustness, and poorly done evaluations tend to make bold claims. Many spending decisions did not refer to existing evaluation evidence. The recommendations are to improve the quality of evaluations, increase their use in policy decisions, address gaps in coverage, and allocate more resources to evaluation.
How to Increase Your Testing Success by Combining Qualitative and Quantitativ...Optimizely
Hiten Shah, President and Co-Founder, KISSmetrics and Crazy Egg
The majority of A/B tests that you run end up failing. Wouldn't it be great if you could increase your chance of success?
In this session Hiten Shah, President and Co-Founder of KISSmetrics and Crazy Egg provides a framework and examples of how to increase your success rate by using both qualitative and quantitative tactics. Learn how to design great experiments by understanding more about your visitors, users and customers.
The document discusses the 5 Whys technique, which is used to determine the root cause of problems. It involves iteratively asking "why" five times to explore cause-and-effect relationships. An example shows asking "why" five times to determine that the root cause of a vehicle not starting was a lack of proper maintenance. It notes that the technique focuses on identifying process failures rather than people failures. While simple and robust, it also has drawbacks like being point-of-view based rather than data-driven. A second example looks at a customer being unhappy with a late project and identifies the root cause as a lack of proper planning due to being behind on other projects.
Digital Experiments - Action Design DC 10 Sept 15Stephen Wendel
1. Digital experiments, also known as A/B tests, involve making small changes to digital content and randomly assigning users to different versions to measure the impact of changes.
2. They provide an unambiguous way to measure the impact of changes through randomized controlled experiments, helping teams find problems, save time and money, and improve performance.
3. The presentation provides examples of how to structure different types of digital experiments and tools for implementing experiments on websites, apps, email and more.
4. User research is important to guide the questions being tested to ensure experiments are strategic and focused on key areas of impact.
How to Get More Value from Your Social DataAnna OBrien
Creating a meaningful insight is similar to baking a cake, with out the write ingredients, proper recipe, and something bake the batter- you'll struggle to produce something people want to consume. This deck explores at a high level how to work with data at each stage of the process. It is meant for anyone working with data- from savants to noobs.
Workshop on Root Cause Analysis tools: Ask Why five times and fishbone (Ishikawa) diagram. I use this to teach basic concepts and give people an experience of using the tools.
The Pistoia Alliance Conference in April 2011 included a series of 10-minute "lightning talks" from vendors about what they think pharma will look like in 2020. This presentation was delivered by Nick Encina of Wingu.
Stress Testing to Guide the Asset Allocation DecisionAlton Cogert
With financial market volatility materially rising across practically all asset classes, we have heard the concerns of several insurers as it relates to the impact on Surplus. SAA will discuss our findings and research addressing these concerns.
This document summarizes PSI as a clinical research organization (CRO). It discusses PSI's global operational presence in 57 countries and 33 offices with over 1,600 staff. PSI is ranked as the number one CRO by investigative sites in two CenterWatch Global Investigative Site Relationship Surveys in 2015 and 2017. The document highlights positive feedback from Gabrail Cancer Center who has worked with PSI on six clinical trials and found their teams to be accessible, helpful, knowledgeable and consistent throughout projects.
This document provides an overview of 5 Why analysis, a root cause analysis tool. It discusses when to use 5 Why analysis, such as for recurring errors or quality issues. The general guidelines for 5 Why analysis include using a cross-functional team, asking "why" until the root cause is uncovered, and ensuring corrective actions address root causes rather than just symptoms. Examples of applying 5 Why analysis to problems like a vehicle not starting and long assembly times are also provided. Potential problems that can occur with 5 Why analysis include stopping at symptoms rather than root causes and different conclusions from different people.
The document describes the Kepner-Tregoe troubleshooting methodology, which consists of four steps: 1) Situational Appraisal to clarify and prioritize the situation, 2) Problem Analysis to find the root cause, 3) Decision Analysis to select the best solution, and 4) Potential Problem Analysis to avoid future problems. Each step involves specific processes like describing the problem, identifying possible causes, evaluating alternatives, and taking preventive action. The methodology aims to effectively resolve issues through a systematic approach.
D. Aitcheson. How to make forecasts that are actually accurate.Agile Lietuva
If you're fed up with endless arguments, over whether a story should be 3 points or 5 points? Irritated with having to provide estimates to your management that you know are probably going to be wrong? We investigated that there's a BETTER WAY. Can we make the unpredictable world of product development a little more predictable?
In this session, Gavin Kelly and Rob Girling, co-founders and principals of design and innovation company Artefact, will explore how crowdsourcing together with a strong maker culture can propel companies on a path to invention and innovation. Using their own experience in building an innovation platform, they will share insight and lessons on how to build a culture of innovation.
Emily Greer at GDC 2018: Data-Driven or Data-Blinded?Kongregate
In the last decade of data analysis, A/B testing and predictive modeling have transitioned from an afterthought to a given in the game industry. Data can be invaluable in understanding the player and making decisions, but it can just as easily lead the industry astray, or worse, narrow the way the industry thinks. When should you be driven by data, and when should you let your imagination roam free? This session will expose common mistakes and pitfalls, both technical and emotional, as well as provide practical guidance on how to improve the rigorousness of your tests and the quality of your data, and how to make sure you don't lose the forest for the trees.
The document discusses some of the risks and challenges of data visualization and analytics programs in organizations. It argues that while complex data visualizations can work, they are difficult to implement successfully from scratch. Additionally, stakeholders may claim the benefits from outside ideas while only superficially complying with analytics recommendations. The document provides steps for organizations to truly realize change through data-driven insights, such as having leadership buy-in and starting with small, test-based implementations.
Identify the root cause of the problems easier and faster, make better decisions, and prioritize your tasks list using ready-made Kepner Tregoe Method PowerPoint Presentation Slides. Incorporate kepner Tregoe PPT slides to troubleshoot and perform root cause analysis to execute plans. This kepner Tregoe method PPT templates are apt for employees at all levels and well-suited departments like operations, engineering, manufacturing, IT, customer service, maintenance, marketing, sales, etc. It covers topics such as kepner Tregoe troubleshooting methodology, kt key troubleshooting process, kepner Tregoe approach to problem solving, kepner Tregoe value proposition, etc. These templates are completely editable. Customize templates as per your requirement. Edit color, text, icon, and font size as per your need. Use kepner Tregoe method PowerPoint templates to get to the decisions beneficial for business. Identify and plan for the high priority issues, understand and manage risks, and get to the root cause of the complex problems. Fight any form of inequality with our Kepner Tregoe Method Powerpoint Presentation Slides. It helps establish a fair environment.
Monte Carlo Schedule Risk Analysis: The Concept, Benefits, and Limitations. How Monte Carlo schedule risk analysis works; how to perform Monte Carlo simulations of project schedules.
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.
This document discusses using Kanban principles to manage knowledge work and the balance between discovery and delivery. It introduces different types of knowledge work from exploiting existing knowledge to exploring new knowledge. It then discusses using various "Discovery Kanbans" to visualize and limit work-in-progress for ideas, experiments, decisions, and actions to balance upstream discovery with downstream delivery. Different approaches are needed depending on what is known versus unknown in the work.
All knowledge work requires a delicate and continuously shifting balance between delivery – exploiting existing knowledge – and discovery – exploring new knowledge. This need to balance discovery and delivery can be found across the entire innovation cycle: from technology innovation over performance and sustaining innovation to disruptive innovation. It has been a driving concern for specific approaches such as Lean Product and Process Development as well as The Kanban Method, as exemplified in examples such as: developing a new product that requires novel features (discovery) while at the same time managing the overall risk that is involved in developing those features (delivery); improving agility and predictability of an organization that may require substantial change (discovery) while at the same time keeping resistance to change under control (delivery); a startup that requires an initial focus on finding problem/solution fit or product market fit (discovery) but then needs to develop the organization to delivery at scale (delivery); etc.
In each of the examples above, too much emphasis on discovery may result in a disconnection with the past leading to resistance to change, increasing delivery risk, and non-adoption of innovation. Too little emphasis on discovery (and consequently too much emphasis on delivery) may lead to not being prepared for the future resulting in stagnation and the risk of being disrupted. Discovery Kanban systems are Kanban systems that help to balance discovery and delivery while moving from a mindset of episodic (one-off) innovation and change towards a culture of continuous innovation and change. Discovery Kanban systems work across the entire discovery cycle starting from pre-hypothesis moving into hypothesis validation and ending in post-hypothesis. In this presentation, we will discuss the different elements of Discovery Kanban, examples and underlying principles.
What is the story with agile data keynote agile 2018 (Magennis)Troy Magennis
This document discusses using data to improve agile practices and outcomes. It argues that agile has lost the "data war" by not capturing and utilizing data from teams effectively. It suggests that data needs to be handled safely to avoid embarrassing people and destroying the utility of historical data. Better ways are needed to measure outcomes rather than just output, and to balance predictability with creativity. The document also discusses visualizing and managing dependencies, comparing performance across teams, and using the right metrics depending on a team's characteristics and challenges. The overarching message is that data needs to be used carefully and conversationally to drive the right actions and improve agile practices.
George Banks made several mental errors when estimating the cost of his daughter's wedding in "The Father of the Bride". He wanted to spend as little as possible, so he ignored factors that would increase the cost like many guests and an expensive cake. He also used an irrelevant reference point (the cost of a house) rather than considering wedding-specific expenses. Additionally, he was overconfident since it was a one-day event at his house. To avoid problems, estimators should gather data from others, make a thorough initial estimate accounting for all known costs, and plan for uncertainties. Accurate project cost estimation is challenging due to biases, incomplete data, and other psychological factors.
Gap Analysis Methods And Models PowerPoint Presentation Slides SlideTeam
Every organization needs to adapt to the ever-changing business environment. Sensing this need, we have come up with these content-ready change management PowerPoint presentation slides. These change management PPT templates will help you deal with any kind of an organizational change. Be it with people, goals or processes. The business solutions incorporated here will help you identify the organizational structure, create vision for change, implement strategies, identify resistance and risk, manage cost of change, get feedback and evaluation, and much more. With the help of various change management tools and techniques illustrated in this presentation design, you can achieve the desired business outcomes. This business transition PowerPoint design also covers certain related topics such as change model, transformation strategy, change readiness, change control, project management and business process. By implementing the change control methods mentioned in the presentation, you will be able to have a smooth transition in an organization. So, without waiting much, download our extensively researched change management framework presentation. With our Change Management Presentation slides, understand the need for change and plan to go through it without any hassles.
Iwsm2014 why cant people estimate (dan galorath)Nesma
This document discusses common issues with project cost and schedule estimates. It notes that estimates are often biased due to human nature and strategic misrepresentation. Experts providing estimates are likely to be biased as well. Several estimation methods are described along with their advantages and limitations. Historical data from completed projects can help improve estimates by providing an outside view, though data limitations remain. The document advocates using techniques like parametric estimating, reference class forecasting, and adjusting for optimism bias to develop more accurate estimates.
This document discusses lead time and how measuring and understanding it can help forecast projects. It defines lead time as the time between one event preceding another. Lead time data can be more useful than just average times since it accounts for variability. The document also discusses using distributions to model different types of work instead of single numbers, as processes are probabilistic rather than deterministic. Measuring lead time and understanding its distribution is important for planning delivery rates and work in process.
The document discusses machine learning techniques for big data, including:
1) Various machine learning models like decision trees, linear models, neural networks and their assumptions.
2) Applications of machine learning like predictive modeling, clustering, personalization and optimization.
3) Key aspects of building machine learning systems like feature selection, model selection, evaluation and continuous adaptation.
Webinar: Experimentation & Product Management by Indeed Product LeadProduct School
Main Takeaways:
- Why should I run experiments as a Product Manager?
- How long should I run experiments?
- How do I interpret Experiment results and take low-risk decisions?
Understanding complexity is hard. That’s why demagogy often wins with logic. “Agile” estimating and planning is full of inspiring stories - if you try hard you may even convince yourself that they are real. Is your estimating and planning aligned with reality, or you're still dreaming?
This presentation is an extended version of my presentation during Agile by Example 2013. The slides has been improved and more structure has been added to assist online reading.
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.
Exploiting Structure and Behavior of Highly Configurable Systems to Measure P...Miguel Velez
This document proposes combining static taint analysis with dynamic analysis to more efficiently measure performance in highly configurable systems. Static taint analysis is used to determine which configuration options affect which parts of the code. Dynamic analysis then executes only the relevant configurations to build a performance table, rather than executing all configurations via a black-box approach. The goal is to exploit lack of interactions between options to measure performance with fewer executions when possible. Future work includes applying this approach to real programs written in languages like C and Java.
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SATTA MATKA DPBOSS KALYAN MATKA RESULTS KALYAN MATKA MATKA RESULT KALYAN MATKA TIPS SATTA MATKA MATKA COM MATKA PANA JODI TODAY BATTA SATKA MATKA PATTI JODI NUMBER MATKA RESULTS MATKA CHART MATKA JODI SATTA COM INDIA SATTA MATKA MATKA TIPS MATKA WAPKA ALL MATKA RESULT LIVE ONLINE MATKA RESULT KALYAN MATKA RESULT DPBOSS MATKA 143 MAIN MATKA KALYAN MATKA RESULTS KALYAN CHART KALYAN CHART
Tired of chasing down expiring contracts and drowning in paperwork? Mastering contract management can significantly enhance your business efficiency and productivity. This guide unveils expert secrets to streamline your contract management process. Learn how to save time, minimize risk, and achieve effortless contract management.
During the budget session of 2024-25, the finance minister, Nirmala Sitharaman, introduced the “solar Rooftop scheme,” also known as “PM Surya Ghar Muft Bijli Yojana.” It is a subsidy offered to those who wish to put up solar panels in their homes using domestic power systems. Additionally, adopting photovoltaic technology at home allows you to lower your monthly electricity expenses. Today in this blog we will talk all about what is the PM Surya Ghar Muft Bijli Yojana. How does it work? Who is eligible for this yojana and all the other things related to this scheme?
Prescriptive analytics BA4206 Anna University PPTFreelance
Business analysis - Prescriptive analytics Introduction to Prescriptive analytics
Prescriptive Modeling
Non Linear Optimization
Demonstrating Business Performance Improvement
AI Transformation Playbook: Thinking AI-First for Your BusinessArijit Dutta
I dive into how businesses can stay competitive by integrating AI into their core processes. From identifying the right approach to building collaborative teams and recognizing common pitfalls, this guide has got you covered. AI transformation is a journey, and this playbook is here to help you navigate it successfully.
Cover Story - China's Investment Leader - Dr. Alyce SUmsthrill
In World Expo 2010 Shanghai – the most visited Expo in the World History
https://www.britannica.com/event/Expo-Shanghai-2010
China’s official organizer of the Expo, CCPIT (China Council for the Promotion of International Trade https://en.ccpit.org/) has chosen Dr. Alyce Su as the Cover Person with Cover Story, in the Expo’s official magazine distributed throughout the Expo, showcasing China’s New Generation of Leaders to the World.
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KALYAN CHART SATTA MATKA DPBOSS KALYAN MATKA RESULTS KALYAN MATKA MATKA RESULT KALYAN MATKA TIPS SATTA MATKA MATKA COM MATKA PANA JODI TODAY BATTA SATKA MATKA PATTI JODI NUMBER MATKA RESULTS MATKA CHART MATKA JODI SATTA COM INDIA SATTA MATKA MATKA TIPS MATKA WAPKA ALL MATKA RESULT LIVE ONLINE MATKA RESULT KALYAN MATKA RESULT DPBOSS MATKA 143 MAIN MATKA KALYAN MATKA RESULTS KALYAN CHART
SATTA MATKA DPBOSS KALYAN MATKA RESULTS KALYAN CHART KALYAN MATKA MATKA RESULT KALYAN MATKA TIPS SATTA MATKA MATKA COM MATKA PANA JODI TODAY BATTA SATKA MATKA PATTI JODI NUMBER MATKA RESULTS MATKA CHART MATKA JODI SATTA COM INDIA SATTA MATKA MATKA TIPS MATKA WAPKA ALL MATKA RESULT LIVE ONLINE MATKA RESULT KALYAN MATKA RESULT DPBOSS MATKA 143 MAIN MATKA KALYAN MATKA RESULTS KALYAN CHART
28. Estimation anti-patterns
• Ask an expert
• Ask him (or her) face-to-face
• Know the answer you want in advance
• Confuse precision with accuracy
• If the answer doesn’t match your figure
then ask somebody else