ProductSchool offers part-time courses in product management, coding, data, digital marketing, and blockchain in 14 campuses across cities in the US, Canada, and the UK, as well as online. It has graduated over 5,000 alumni. The speaker discusses various product management frameworks like Jobs Theory, Blue Ocean Strategy, Porter's Five Forces, BCG Matrix, and Kano Model. She also covers different user research methods like focus groups, surveys, remote studies, message testing, and cohort analysis. The presentation concludes with discussing Lean UX and AARRR metrics.
An introduction to the heart, mind, and soul of Product Management: Customer Obsession, Metrics, and Product Sense. Presented at Product School Bellevue.
20NTC - Getting Started with Data Science and AI in the Non-Profit Sector - v...Ria Sankar
Ria Sankar is the Director of Program Management for Microsoft's AI for Good programs. This webinar covers her talk on "Getting Started with Data Science and AI in the Non-Profit Sector" that was supported to be offered during 2020 NTEN Conference in Baltimore (20NTC) and recorded via Keela's Plugged In platform due to COVID-19.
How to Use Data to Build Better Products by HelloSociety PMProduct School
Data is a really powerful way to build better products for users. The ability to set up and vet a hypothesis about product is a huge asset for Product Managers and it's not just for the strong Data Scientists among us. Data and analytics can be a huge asset in figuring out what users want and in keeping development aligned with business goals.
Rose talked about what that means and how you can develop your sense around actionable data.
AI Models For Fun and Profit by Walmart Director of Artificial IntelligenceProduct School
Product Management Event at #ProductCon NY on how to create AI models for fun and for profit by Jason Nichols, Director of Artificial Intelligence at Walmart Intelligent Research Lab.
How to Use Data to Build Better Products by fmr NY Times PMProduct School
Main takeaways:
- Why it matters what you measure- How data can tell you what users want, and what they don't want
- How to get familiar enough with your own data to be able to get what you want
- GA, SQL, etc.
- Why your goal should be to find the point in the data- What "actionable data" can look like
Growth Explained by Zynga's Director of ProductProduct School
Understanding your users and how they discover and adopt your products is very important in building a product.
Zynga's Director of Product, Abishek Viswanathan, discusses tactical techniques in gaining and retaining a strong user base.
An introduction to the heart, mind, and soul of Product Management: Customer Obsession, Metrics, and Product Sense. Presented at Product School Bellevue.
20NTC - Getting Started with Data Science and AI in the Non-Profit Sector - v...Ria Sankar
Ria Sankar is the Director of Program Management for Microsoft's AI for Good programs. This webinar covers her talk on "Getting Started with Data Science and AI in the Non-Profit Sector" that was supported to be offered during 2020 NTEN Conference in Baltimore (20NTC) and recorded via Keela's Plugged In platform due to COVID-19.
How to Use Data to Build Better Products by HelloSociety PMProduct School
Data is a really powerful way to build better products for users. The ability to set up and vet a hypothesis about product is a huge asset for Product Managers and it's not just for the strong Data Scientists among us. Data and analytics can be a huge asset in figuring out what users want and in keeping development aligned with business goals.
Rose talked about what that means and how you can develop your sense around actionable data.
AI Models For Fun and Profit by Walmart Director of Artificial IntelligenceProduct School
Product Management Event at #ProductCon NY on how to create AI models for fun and for profit by Jason Nichols, Director of Artificial Intelligence at Walmart Intelligent Research Lab.
How to Use Data to Build Better Products by fmr NY Times PMProduct School
Main takeaways:
- Why it matters what you measure- How data can tell you what users want, and what they don't want
- How to get familiar enough with your own data to be able to get what you want
- GA, SQL, etc.
- Why your goal should be to find the point in the data- What "actionable data" can look like
Growth Explained by Zynga's Director of ProductProduct School
Understanding your users and how they discover and adopt your products is very important in building a product.
Zynga's Director of Product, Abishek Viswanathan, discusses tactical techniques in gaining and retaining a strong user base.
Blending Product Discovery and Product DeliveryJosiah Renaudin
More and more organizations are realizing that while they are getting more done, they are not necessarily getting more value. More code does not mean more product and more product does not mean more market share. According to David Hussman, we need to shift our focus toward a balanced investment in discovery and delivery without going back to gathering big requirements up front. To accomplish this, we need to embrace new discovery metaphors and practices. David draws on his years of experience working with product managers, heads of product, and product owners as he introduces ideas like mapping teams to product, product discovery cadence that feeds a product delivery cadence, how to learn outside the code, and when it is essential to learn in the code. If you are looking for a post-agile gem, drop in and be ready to move on, building on the past success of agile methods while looking toward a future where product learning is valued over process worship.
DataTalkClub Conference, Feb 12 2021
Creating a machine learning model is not an easy task.
Creating a useful machine learning model that gets into production and generates actual business value - is an even harder one.
There are many ways for an ML project or product to fail even when the data is there and the model technically performs well. From the wrong problem statement to lack of trust from stakeholders, in this talk I will discuss what issues to look out for, and how to avoid them.
Essential Tools for Product Managers and Marketers (Oct 2011)Jesse Gant
A refresh of the tools and resources (research/analysis, social monitoring, A/B testing, wireframing, SEO/SEM, etc.) that every Product Manager and Marketer should use or at least know about.
Practical lessons learned from our startup growth accelerator, Sprinthack on growth, agile product management and how to integrate this approach to any organisation's way of working.
How to Best Research Your Problem Area & Product by fmr eBay PMProduct School
Main takeaways:
- A true understanding of a problem area comes from a mix of qualitative and quantitative data
- Researching a problem and product expands beyond the user interview; it also includes competitive analysis, product analytics, and stakeholder interviews
- Comparing to other products does not have to be limited to direct competitors, but it can also include research on products that accomplish a specific job very well. This can create inspiration and ideas for your product
Eureka Analytics Seminar Series - Product Management for Data Science ProductsEureka Analytics Pte Ltd
Data Science is increasingly being used to build new products in every industry, from Internet companies to physical businesses, and from large enterprise systems to consumer products that we carry in our pockets. The ability to understand the Data Science process is an increasingly important skill for Software Product Managers. What are some of the unique challenges when building a Data Science product? How do we build products that scale if there is an element of experimentation and research? In this seminar, you will learn what it takes to manage a Data Science product, and hear practical tips and examples from our experience at Eureka Analytics. This seminar is brought to you by Eureka Analytics
How to Use AI in Product by Intel Product ManagerProduct School
This presentation covers what it's like to use AI in Product for a company and the different ways they can be implemented within an organization and we'll also touch on some of the misconceptions that come with using AI in Product.
Main takeaways:
- Multidisciplinary Product Manager
- Managing a product with invisible software, vague requirements in AI/IoT,
- Customer vs Industry
- Difference between technology and product; When to productize?
- AI as a feature vs AI as a product
- Product Management for the Internet of Things
How to Use Artificial Intelligence by Microsoft Product ManagerProduct School
The talk focused on the Fundamentals of Product Management, leveraging the speaker's personal experiences in the AI field. It covered core Product Manager topics such as managing customer needs, business goals & technology feasibility, the holy trinity of the Product Manager discipline, delve into data analyses, rapid experimentation, and execution, and finally, explored the challenges of customer privacy, bias, and inclusivity in AI products.
Foundational Frameworks a Perspective on PM by Lyft Product LeaderProduct School
Main takeaways:
-Why tech PM have it worse than non-Tech PMs in the technical PM roles?
-You will learn that PM is indeed A Profession of the failures, for the failures…. And yes, the pun is intended!
-You find it hard to understand or define PM? Well, that's exactly why you should join it! OR Illusive definition of PM as a profession is its greatest strength
Slides Chris Butler recently used in his discussion w/ mentees of The Product Mentor.
Synopsis: In this talk, Vikas will share his thoughts on what is Product Strategy and how Product Managers can develop it, He will also share some concepts in Strategy and how Product Managers can apply them to make their products more successful.
The Product Mentor is a program designed to pair Product Mentors and Mentees from around the World, across all industries, from start-up to enterprise, guided by the fundamental goals…Better Decisions. Better Products. Better Product People.
Throughout the program, each mentor leads a conversation in an area of their expertise that is live streamed and available to both mentee and the broader product community.
http://TheProductMentor.com
This deck aims at providing entrepreneurs, startup employees and young product managers a toolbox of actionable digital product management tools & techniques. It will help them discover, design & launch great products.
What Are the Basics of Product Manager Interviews by Google PMProduct School
Ankit walked through an intro to the Product Manager role, the skills needed, and how the role differs between small and large companies. He wrapped up with some advice that's helped him in his Product Manager interviews over the years.
He gave a structured approach to thinking about what a Product Manager actually does (structured, meaning no "top 10" lists) and what are the skills you need to do well as a Product Manager.
7 Lessons From Building Search Engine Products by CB Insights PMProduct School
Main takeaways:
- What are the ingredients that go into a search engine product?
- How do you balance the product risks of usability, value, feasibility, and business viability?
- In this session, we'll discuss the challenges of working with search engines through the lens of Product Management.
(Last change, July 2: Removed as beyond most teams' scope Eyetracking Study, Clickstream Analysis, Usability Benchmarking; Added Live-Data Prototypes, Demand Validation Test, Wizard of Oz Tests)
For our teams tasked with building products and features for The New York Times, we face a common challenge with many: how do we figure out what’s worth spending our time on?
The answer seems straightforward: test your ideas with real customers, leveraging the expertise of your product, UX, and engineering talent. Figure out the smallest test that you can come up with to test a specific hypothesis, gather data and insights, and keep iterating on it until you know whether the problem is real and your solution will prove valuable, usable, and feasible.
As part of our efforts to adopt such a data-driven, experimental approach to product development, we recently kicked off a product discovery pilot program. Small, cross-functional teams were paired with coaches and facilitators over a six week period to demonstrate how product discovery and Lean Startup techniques could work for real-world customer opportunities at The New York Times.
One of the first things that we learned about the process from our participants was that they wanted a "toolkit" - something to help them figure out what they should be doing, asking or making to get as quickly as possible towards the validated learning, prototypes and user tests that would have the most impact.
To help the facilitate the learning process for our dual-track Agile teams, the Product Architecture team here at The Times (Christine Yom, Jim Lamiell, Josh Turk, Priya Ollapally, and Al Ming) built a "Product Discovery Activity Guide" that rolled up activities, exercises, and testing techniques from all our favorite thought leaders.
This included brainstorming exercises from Gamestorming and Innovation Games, testing techniques from traditional user research, and rapid test-and-learn tactics from Google Ventures, Eric Ries (The Lean Startup), Jeff Gothelf (Lean UX), Steve Blank (Customer Development) and our spirit guide, Marty Cagan (Inspired), among others.
Our goal was to make it a tool not just for learning how to get started, but to be a living document for teams to share knowledge about the process itself. What techniques worked and didn't work? What tactics did they learn elsewhere that might be worth sharing with the rest of the company?
We hope you find it useful, and whether you’d like to share with us what you’re doing with it, or you have suggestions (big or small) to improve it for future product generations, please let us know! (nyt.tech.productarchitecture@nytimes.com)
Al Ming
July 2015
How to Build Winning Products by Microsoft Sr. Product ManagerProduct School
In this talk, Ria introduced the audience to the heart, mind and soul of Product Management: Customer Obsession, Metrics, and Product Sense. She discussed a broad understanding of top research methods, product management frameworks and metrics used by Product Managers at Facebook and Microsoft.
Blending Product Discovery and Product DeliveryJosiah Renaudin
More and more organizations are realizing that while they are getting more done, they are not necessarily getting more value. More code does not mean more product and more product does not mean more market share. According to David Hussman, we need to shift our focus toward a balanced investment in discovery and delivery without going back to gathering big requirements up front. To accomplish this, we need to embrace new discovery metaphors and practices. David draws on his years of experience working with product managers, heads of product, and product owners as he introduces ideas like mapping teams to product, product discovery cadence that feeds a product delivery cadence, how to learn outside the code, and when it is essential to learn in the code. If you are looking for a post-agile gem, drop in and be ready to move on, building on the past success of agile methods while looking toward a future where product learning is valued over process worship.
DataTalkClub Conference, Feb 12 2021
Creating a machine learning model is not an easy task.
Creating a useful machine learning model that gets into production and generates actual business value - is an even harder one.
There are many ways for an ML project or product to fail even when the data is there and the model technically performs well. From the wrong problem statement to lack of trust from stakeholders, in this talk I will discuss what issues to look out for, and how to avoid them.
Essential Tools for Product Managers and Marketers (Oct 2011)Jesse Gant
A refresh of the tools and resources (research/analysis, social monitoring, A/B testing, wireframing, SEO/SEM, etc.) that every Product Manager and Marketer should use or at least know about.
Practical lessons learned from our startup growth accelerator, Sprinthack on growth, agile product management and how to integrate this approach to any organisation's way of working.
How to Best Research Your Problem Area & Product by fmr eBay PMProduct School
Main takeaways:
- A true understanding of a problem area comes from a mix of qualitative and quantitative data
- Researching a problem and product expands beyond the user interview; it also includes competitive analysis, product analytics, and stakeholder interviews
- Comparing to other products does not have to be limited to direct competitors, but it can also include research on products that accomplish a specific job very well. This can create inspiration and ideas for your product
Eureka Analytics Seminar Series - Product Management for Data Science ProductsEureka Analytics Pte Ltd
Data Science is increasingly being used to build new products in every industry, from Internet companies to physical businesses, and from large enterprise systems to consumer products that we carry in our pockets. The ability to understand the Data Science process is an increasingly important skill for Software Product Managers. What are some of the unique challenges when building a Data Science product? How do we build products that scale if there is an element of experimentation and research? In this seminar, you will learn what it takes to manage a Data Science product, and hear practical tips and examples from our experience at Eureka Analytics. This seminar is brought to you by Eureka Analytics
How to Use AI in Product by Intel Product ManagerProduct School
This presentation covers what it's like to use AI in Product for a company and the different ways they can be implemented within an organization and we'll also touch on some of the misconceptions that come with using AI in Product.
Main takeaways:
- Multidisciplinary Product Manager
- Managing a product with invisible software, vague requirements in AI/IoT,
- Customer vs Industry
- Difference between technology and product; When to productize?
- AI as a feature vs AI as a product
- Product Management for the Internet of Things
How to Use Artificial Intelligence by Microsoft Product ManagerProduct School
The talk focused on the Fundamentals of Product Management, leveraging the speaker's personal experiences in the AI field. It covered core Product Manager topics such as managing customer needs, business goals & technology feasibility, the holy trinity of the Product Manager discipline, delve into data analyses, rapid experimentation, and execution, and finally, explored the challenges of customer privacy, bias, and inclusivity in AI products.
Foundational Frameworks a Perspective on PM by Lyft Product LeaderProduct School
Main takeaways:
-Why tech PM have it worse than non-Tech PMs in the technical PM roles?
-You will learn that PM is indeed A Profession of the failures, for the failures…. And yes, the pun is intended!
-You find it hard to understand or define PM? Well, that's exactly why you should join it! OR Illusive definition of PM as a profession is its greatest strength
Slides Chris Butler recently used in his discussion w/ mentees of The Product Mentor.
Synopsis: In this talk, Vikas will share his thoughts on what is Product Strategy and how Product Managers can develop it, He will also share some concepts in Strategy and how Product Managers can apply them to make their products more successful.
The Product Mentor is a program designed to pair Product Mentors and Mentees from around the World, across all industries, from start-up to enterprise, guided by the fundamental goals…Better Decisions. Better Products. Better Product People.
Throughout the program, each mentor leads a conversation in an area of their expertise that is live streamed and available to both mentee and the broader product community.
http://TheProductMentor.com
This deck aims at providing entrepreneurs, startup employees and young product managers a toolbox of actionable digital product management tools & techniques. It will help them discover, design & launch great products.
What Are the Basics of Product Manager Interviews by Google PMProduct School
Ankit walked through an intro to the Product Manager role, the skills needed, and how the role differs between small and large companies. He wrapped up with some advice that's helped him in his Product Manager interviews over the years.
He gave a structured approach to thinking about what a Product Manager actually does (structured, meaning no "top 10" lists) and what are the skills you need to do well as a Product Manager.
7 Lessons From Building Search Engine Products by CB Insights PMProduct School
Main takeaways:
- What are the ingredients that go into a search engine product?
- How do you balance the product risks of usability, value, feasibility, and business viability?
- In this session, we'll discuss the challenges of working with search engines through the lens of Product Management.
(Last change, July 2: Removed as beyond most teams' scope Eyetracking Study, Clickstream Analysis, Usability Benchmarking; Added Live-Data Prototypes, Demand Validation Test, Wizard of Oz Tests)
For our teams tasked with building products and features for The New York Times, we face a common challenge with many: how do we figure out what’s worth spending our time on?
The answer seems straightforward: test your ideas with real customers, leveraging the expertise of your product, UX, and engineering talent. Figure out the smallest test that you can come up with to test a specific hypothesis, gather data and insights, and keep iterating on it until you know whether the problem is real and your solution will prove valuable, usable, and feasible.
As part of our efforts to adopt such a data-driven, experimental approach to product development, we recently kicked off a product discovery pilot program. Small, cross-functional teams were paired with coaches and facilitators over a six week period to demonstrate how product discovery and Lean Startup techniques could work for real-world customer opportunities at The New York Times.
One of the first things that we learned about the process from our participants was that they wanted a "toolkit" - something to help them figure out what they should be doing, asking or making to get as quickly as possible towards the validated learning, prototypes and user tests that would have the most impact.
To help the facilitate the learning process for our dual-track Agile teams, the Product Architecture team here at The Times (Christine Yom, Jim Lamiell, Josh Turk, Priya Ollapally, and Al Ming) built a "Product Discovery Activity Guide" that rolled up activities, exercises, and testing techniques from all our favorite thought leaders.
This included brainstorming exercises from Gamestorming and Innovation Games, testing techniques from traditional user research, and rapid test-and-learn tactics from Google Ventures, Eric Ries (The Lean Startup), Jeff Gothelf (Lean UX), Steve Blank (Customer Development) and our spirit guide, Marty Cagan (Inspired), among others.
Our goal was to make it a tool not just for learning how to get started, but to be a living document for teams to share knowledge about the process itself. What techniques worked and didn't work? What tactics did they learn elsewhere that might be worth sharing with the rest of the company?
We hope you find it useful, and whether you’d like to share with us what you’re doing with it, or you have suggestions (big or small) to improve it for future product generations, please let us know! (nyt.tech.productarchitecture@nytimes.com)
Al Ming
July 2015
How to Build Winning Products by Microsoft Sr. Product ManagerProduct School
In this talk, Ria introduced the audience to the heart, mind and soul of Product Management: Customer Obsession, Metrics, and Product Sense. She discussed a broad understanding of top research methods, product management frameworks and metrics used by Product Managers at Facebook and Microsoft.
Transforming Digital Government Services Workshop - Tuesday 21st OctoberPrecedent
Is your government organisation digitally reactive, strategic or transformational?
In an age where technological opportunities are increasing by the second, government organisations can't afford to be left behind.
Twenty-first century government organisations must be innovators and use technology to their advantage to deliver optimum services to their most important stakeholder - their users, be they a resident, business owner, customer or visitor.
This breakfast briefing session will cover three major elements necessary to spark organisation-wide digital change in your government organisation:
1. Discovery - understanding your current digital state and user's increasing expectations
2. Strategy - creating prioritised actions and a vision of your digital future state
3. Implementation - delivering tailored digital solutions for government to exceed your stakeholder's needs and expectations
This exclusive workshop is for senior decision makers who are digital champions within their government organisation, looking to drive real digital change.
Deck I created for IEM 628: Product and Process Design and Development, Master of Science in Industrial Engineering and Management at Polytechnic University of the Philippines.
Topic assigned: Comprehensive Guide to Product Concept and Design
I used JUUL to illustrate the basic concepts of product design.
Last slide includes references used for this deck. Some text in slide 17 are not visible due to animation, sorry about that.
This workshop slide deck describes the tools and methods for conducting market research for new products and services, including market sizing, forecasting, concept testing, demand estimates, price tests. Learn how to identify potential customers, answer key questions such as: their interest in your products/services, how much they are willing to pay, what they value, how to reach them and deliver that value.
This slide deck describes how to conduct market research to identify potential customers, test product concepts and value propositions, and pricing. Do research to answer key questions for new product market success: 1) who are your customers, 2) what is your value proposition and what are customers willing to pay; 3) how will you win customers and retain them at a profitable rate? Once you have answered these questions, you are on your way to a successful customer discovery and development process.
Understanding customers is a fundamental activity of professional Product Management. There are many ways of gathering research that will help develop this understanding and this "Briefly Explained" presentation provides context to the What, Why and When of these different methods.
San Diego AMA Content Marketing Series 1: PersonasAMASanDiego
Learn how leading companies like IBM and Mitchell use data to create and manage agile personas that are relevant, drive content, and deliver marketing results. Jacques Pavlenyi (Senior Portfolio Manager at IBM, Program Director – Social Collaboration Software Marketing) and Sandra Piccillo (Senior Marketing Manager at Mitchell International) will provide a primer on persona creation and content marketing. They'll share their strategies for:
Creating a culture that values personas to save time and optimize budget
Developing “living” personas that maintain their relevance over time
Connecting personas with relevant content to maximize ROI
Writing actionable content for your personas
- See more at: http://sdama.org/events/content-marketing-series-1-brand-personas/
Slides to the growth hacking workshop I recently gave for AAU students in Prague. We covered the Lean Canvas, getting to product-market fit, Wow! moment, growth marketing, and the analytics you should be focused on.
Julie Grundy gives an overview of user experience Design, why it's important, guiding principles, UX research overview, and tactics used by UX professionals. November 2015.
Make Customers Fall in Love with Your Salesforce Self-service CommunityPerficient, Inc.
Many companies face the same challenges with their community: an abundance of great content but no easy way for users to access all that knowledge. In the end, self-service all comes down to the experience and how your users interact with your community in order to find what they need.
Making content discoverable wherever it resides can feel like a Herculean task, but it doesn’t have to be. Our best practices driven webinar, with real life examples from GoPro, demonstrated proven ways to:
-Design an engaging, value-driven community
-Drive self-service success by delivering relevant and proactive answers
-Leverage insights from your member interactions to continuously improve your content
-Create intuitive community experiences that connect your members with answers, faster
No data scientist (or pocket protector) needed!
The Hive Think Tank: Machine Learning at Pinterest by Jure LeskovecThe Hive
Machine learning is at the core of Pinterest. Pinterest personalizes and ranks 1B+ pins, 700+ million boards for 100M+ users all over the world, using data gathered from collaborative filtering, user curation, web crawling, and more. At Pinterest we model relationships between pins, handle cold-start problems and deal with real-time recommendations.
In this presentation Jure gave an overview of the problems and effective solutions developed at Pinterest. He focused on systems and effective engineering choices made to enable productive machine learning development and enable multiple engineers effectively develop, test, and deploy machine-learned models.
Title: Brand Matters
In this 60 minute intro session, you will learn a general overview of how to create, launch and maintain your brand and why your brand awareness affects how much capital you will get.
- Why your brand matters and how it impacts your success
- Creating & defining your brand
- Launching your brand publicly
- How to build your brand on social networks such as Twitter, Facebook, & Linkedin
In following sessions we will dive deeper into each social network and discuss how to make the most of each social platform.
Creating a Business-Driven Content Marketing StrategyCarla Johnson
Many brands have an interest in content marketing but flounder with successful planning and execution. In most cases it’s due to a lack of strategy. Marketers struggle to create content relevant to audiences and prioritize activities in order to consistently publish, yet only 35% of marketers take the time to create a content strategy.
This workshop takes attendees through the process of creating a content strategy that will be immediately actionable. By discovering what matters to your audience and how they make decisions, you’ll create a content strategy that enables you to create highly relevant content that builds awareness, engagement, conversion and loyalty.
Similar to Ria Sankar - How to Build Winning Products - Product School Bellevue - 83018 (20)
Accelerate your Kubernetes clusters with Varnish CachingThijs Feryn
A presentation about the usage and availability of Varnish on Kubernetes. This talk explores the capabilities of Varnish caching and shows how to use the Varnish Helm chart to deploy it to Kubernetes.
This presentation was delivered at K8SUG Singapore. See https://feryn.eu/presentations/accelerate-your-kubernetes-clusters-with-varnish-caching-k8sug-singapore-28-2024 for more details.
Software Delivery At the Speed of AI: Inflectra Invests In AI-Powered QualityInflectra
In this insightful webinar, Inflectra explores how artificial intelligence (AI) is transforming software development and testing. Discover how AI-powered tools are revolutionizing every stage of the software development lifecycle (SDLC), from design and prototyping to testing, deployment, and monitoring.
Learn about:
• The Future of Testing: How AI is shifting testing towards verification, analysis, and higher-level skills, while reducing repetitive tasks.
• Test Automation: How AI-powered test case generation, optimization, and self-healing tests are making testing more efficient and effective.
• Visual Testing: Explore the emerging capabilities of AI in visual testing and how it's set to revolutionize UI verification.
• Inflectra's AI Solutions: See demonstrations of Inflectra's cutting-edge AI tools like the ChatGPT plugin and Azure Open AI platform, designed to streamline your testing process.
Whether you're a developer, tester, or QA professional, this webinar will give you valuable insights into how AI is shaping the future of software delivery.
Connector Corner: Automate dynamic content and events by pushing a buttonDianaGray10
Here is something new! In our next Connector Corner webinar, we will demonstrate how you can use a single workflow to:
Create a campaign using Mailchimp with merge tags/fields
Send an interactive Slack channel message (using buttons)
Have the message received by managers and peers along with a test email for review
But there’s more:
In a second workflow supporting the same use case, you’ll see:
Your campaign sent to target colleagues for approval
If the “Approve” button is clicked, a Jira/Zendesk ticket is created for the marketing design team
But—if the “Reject” button is pushed, colleagues will be alerted via Slack message
Join us to learn more about this new, human-in-the-loop capability, brought to you by Integration Service connectors.
And...
Speakers:
Akshay Agnihotri, Product Manager
Charlie Greenberg, Host
UiPath Test Automation using UiPath Test Suite series, part 3DianaGray10
Welcome to UiPath Test Automation using UiPath Test Suite series part 3. In this session, we will cover desktop automation along with UI automation.
Topics covered:
UI automation Introduction,
UI automation Sample
Desktop automation flow
Pradeep Chinnala, Senior Consultant Automation Developer @WonderBotz and UiPath MVP
Deepak Rai, Automation Practice Lead, Boundaryless Group and UiPath MVP
UiPath Test Automation using UiPath Test Suite series, part 4DianaGray10
Welcome to UiPath Test Automation using UiPath Test Suite series part 4. In this session, we will cover Test Manager overview along with SAP heatmap.
The UiPath Test Manager overview with SAP heatmap webinar offers a concise yet comprehensive exploration of the role of a Test Manager within SAP environments, coupled with the utilization of heatmaps for effective testing strategies.
Participants will gain insights into the responsibilities, challenges, and best practices associated with test management in SAP projects. Additionally, the webinar delves into the significance of heatmaps as a visual aid for identifying testing priorities, areas of risk, and resource allocation within SAP landscapes. Through this session, attendees can expect to enhance their understanding of test management principles while learning practical approaches to optimize testing processes in SAP environments using heatmap visualization techniques
What will you get from this session?
1. Insights into SAP testing best practices
2. Heatmap utilization for testing
3. Optimization of testing processes
4. Demo
Topics covered:
Execution from the test manager
Orchestrator execution result
Defect reporting
SAP heatmap example with demo
Speaker:
Deepak Rai, Automation Practice Lead, Boundaryless Group and UiPath MVP
Encryption in Microsoft 365 - ExpertsLive Netherlands 2024Albert Hoitingh
In this session I delve into the encryption technology used in Microsoft 365 and Microsoft Purview. Including the concepts of Customer Key and Double Key Encryption.
Slack (or Teams) Automation for Bonterra Impact Management (fka Social Soluti...Jeffrey Haguewood
Sidekick Solutions uses Bonterra Impact Management (fka Social Solutions Apricot) and automation solutions to integrate data for business workflows.
We believe integration and automation are essential to user experience and the promise of efficient work through technology. Automation is the critical ingredient to realizing that full vision. We develop integration products and services for Bonterra Case Management software to support the deployment of automations for a variety of use cases.
This video focuses on the notifications, alerts, and approval requests using Slack for Bonterra Impact Management. The solutions covered in this webinar can also be deployed for Microsoft Teams.
Interested in deploying notification automations for Bonterra Impact Management? Contact us at sales@sidekicksolutionsllc.com to discuss next steps.
State of ICS and IoT Cyber Threat Landscape Report 2024 previewPrayukth K V
The IoT and OT threat landscape report has been prepared by the Threat Research Team at Sectrio using data from Sectrio, cyber threat intelligence farming facilities spread across over 85 cities around the world. In addition, Sectrio also runs AI-based advanced threat and payload engagement facilities that serve as sinks to attract and engage sophisticated threat actors, and newer malware including new variants and latent threats that are at an earlier stage of development.
The latest edition of the OT/ICS and IoT security Threat Landscape Report 2024 also covers:
State of global ICS asset and network exposure
Sectoral targets and attacks as well as the cost of ransom
Global APT activity, AI usage, actor and tactic profiles, and implications
Rise in volumes of AI-powered cyberattacks
Major cyber events in 2024
Malware and malicious payload trends
Cyberattack types and targets
Vulnerability exploit attempts on CVEs
Attacks on counties – USA
Expansion of bot farms – how, where, and why
In-depth analysis of the cyber threat landscape across North America, South America, Europe, APAC, and the Middle East
Why are attacks on smart factories rising?
Cyber risk predictions
Axis of attacks – Europe
Systemic attacks in the Middle East
Download the full report from here:
https://sectrio.com/resources/ot-threat-landscape-reports/sectrio-releases-ot-ics-and-iot-security-threat-landscape-report-2024/
Smart TV Buyer Insights Survey 2024 by 91mobiles.pdf91mobiles
91mobiles recently conducted a Smart TV Buyer Insights Survey in which we asked over 3,000 respondents about the TV they own, aspects they look at on a new TV, and their TV buying preferences.
Smart TV Buyer Insights Survey 2024 by 91mobiles.pdf
Ria Sankar - How to Build Winning Products - Product School Bellevue - 83018
1. www.productschool.com
Part-time Product Management, Coding, Data, Digital
Marketing and Blockchain courses in San Francisco, Silicon
Valley, New York, Santa Monica, Los Angeles, Austin, Boston,
Boulder, Chicago, Denver, Orange County, Seattle, Bellevue,
Toronto, London and Online
2. +5000
Alumni Graduated
across 14
Campuses
· San Francisco
· Silicon Valley
· New York
· Los Angeles
· Santa Monica
· Orange County
· Austin
· Boston
· Boulder
· Chicago
· Denver
· Seattle
· Toronto (Canada)
· London (UK)
11. What does a Product Manager do?
Source: https://www.onedesk.com/product-manager-
12. “Mini-CEO” responsible for overseeing and leading
teams through product planning, feature definition and
execution
Plan
DefineExecute
User Research: Identify underlying
user needs
Frameworks: Structure and
frame problem spaces
Metrics: Prioritize features,
Validate hypotheses
13
2
13. Today’s Takeaways: Top tools for product management
Landscape of top research methods + closer look at 5
For each: When to use, Expectations of PM, Variations
Landscape of top product management frameworks + closer look at 4
For each: Framework, case studies
Time permitting: Picking the right metric to measure success of your
feature
1
3
2
Closing & Q&A
17. Categories of User Research
By research source
• Primary
• Secondary
By type of insights
• Qualitative
• Quantitative
• Behavioral
By context
• Contextual
• Scripted
18. Landscape of research methods by type of insights
What people do
What people say
Why & How to
improve
How many & how
much
Behavioral
Qualitative
N=10 N=Thousands+
Quantitative
Reference: Christian Rohrer 2014
N=Hundreds
Optimize /
improve existing
product
Build a new
product
19. What people do
What people say
Why & How to
improve
How many & how
much
Legend
Behavioral
Qualitative
Quantitative
N=10
N=Thousands+
N=Hundreds
Ethnographies
SurveysEye-tracking
Observations
Diary Studies
Task History
Longitudinal Studies
Path & Click Analysis
Panel studies
Cohort Analysis
Focus groups
Scripted Remote Studies
Concept-value tests
Message testing
Landscape of research methods by sample size
Reported Behavior
Actual Behavior
Optimize / improve
existing product
Build a new
product
20. Top research methods used @Microsoft
1. Focus Groups
1. Unmoderated studies
1. Surveys
1. Message testing
1. Cohort Analysis
21. • When to use:
• Deep qualitative feedback on complicated experiences
• Directional feedback in early product development
•PM provides:
• Research questions
• Sample experiences – mockups, prototypes, competitors
• Participant screening (i.e. women <34 that use Prime Now app on iPhone
weekly)
• Optional: Pre-work
•Variations:
• Moderated remote studies, diary studies & customer journals
1. Focus groups
22. • When to use:
• Validating results of focus groups
• Comparing design options
• Prioritize features during design, before
development begins
•PM provides:
• List of multiple-choice Q&A (few open-ended Qs)
• Sample experiences
• Participant screening
•Variations:
• Concept value tests
2. Surveys
23. • When to use:
• For more detailed feedback than surveys
• Budget or resource constraints
• Message testing, Usability study of prototypes
•PM provides:
• Research questions
• Sample experiences
• Participant screening
•Variations:
• Diary studies
• Customer journals or Ethnographies
3. Remote Studies
24. • When to use:
• When planning go-to-market activities
• Prioritize among message alternatives to land the best story with
consumers
•PM provides:
• List of canvases: Banner Ads, headers, in-product alerts
• List of channels: social, email, blogs, influencers
• List of messages for each type of canvas & channel
• GTM-ready experiences
• Participant screening
•Variations:
• Conversion rate optimization using Persado or competitors
4. Message testing
25. • When to use:
• Deeply understand user behavior of an existing or newly
launched product
•PM provides:
• Work closely with Data Scientist to define the problem
statement, research questions, and cohort type (gender, location,
start date)
• Research questions
• Metrics to measure: Engagement, Revenue, Returning Usage
• User screening (i.e. users who visited Prime Day deals during
crash window)
•Variations:
• Path or clickstream analysis, Task histories
• Longitudinal studies, A/B Tests
5. Cohort Analysis
26. Flowchart of research methods
New
Product?
Purpose?
Major
Rev?
Quantitative
insights
Observations
Focus groups
Actual
Behavior?
Attitudinal
insights
Yes
Yes
Behavioral
insights
NoNo
Actual
Behavior?
Why?
Ethnographies
Diary Studies
Eye-tracking Surveys
CVTs
Remote
Studies
Message Tests
Panel Studies
Clickstream
Task History
Path Analysis
Extended
time
period
GTM
Directional early
feedback (why, how)
Design & feature
prioritization
(How many/ much)
Measurable insights
on actual
interactions
(what/ when)
For deeper whys move to qualitative
Cohort
Analysis
Purpose?
Read more: https://www.linkedin.com/pulse/user-research-
turning-data-delightful-experiences-ria-sankar/
30. Why Frameworks?
• Find your niche
• Build consensus with popular
frameworks
Customer
CompetitiveBusiness
Niche
31. Landscape of Product Management Frameworks
Customer
• AAARRR / AARM / REAN /
AIDA
• RFM
• HEART
• Jobs Theory
• Fogg Behavior Model
(Hooked)
• Lean UX
Business & Decision making
• 4 Ps
• SWOT
• Pricing: 5 Cs
• Kano Model
• BCG Matrix
Competitive
• Porter’s 5 forces
• Blue Ocean Strategy
• McKinsey 7 degrees of
Freedom - Growth
32. Why would you hire a milkshake?
https://hbswk.hbs.edu/item/clay-christensens-milkshake-marketing
Image: McDonalds.com
33. Jobs Theory
Seeing tasks from a customer lens vs. product lens
#1
Functional
“Help me wake up
with the best coffee
at consistent
quality”
Social
“Give me a place to
connect with my
friends”
Emotional
“Help me treat
myself
at the end of a long
day”
34. Jobs Theory: Framework
Deeply understand the customer
• What’s their Situation “When”: skills, wealth, time, demographic, spending habits?
• What’s their Motivations and Expected outcomes
1
Identify the high-priority job-to-be-done
• How does the customer do the job today?
• What barriers prevent the customer from doing it (well)?
2
Frame your value proposition
• Relative to competing solutions, where does our solution meet the bar?
• Where to delight?
• Where can our solution be below the bar?
3 Identify related emotional, social and functional jobs
4
35. Jobs Theory guides you to ask the right question and frame the
topmost user need
Framing: WHEN <…> I WANT <…> SO I CAN <…>
https://design.org/wp-content/uploads/2016/11/Jobs-To-Be-Done-Framework.jpg
Jobs
Main Job
Functional
Emotional
Social
Emotional
Related
Jobs
36. Case Study: Immediate Clinic
• Time to appointment
• Time to care
• Cost of treatment
• Effective treatment
• Provider expertise
• Complexity of care
From: Yelp.com
WHEN my daughter is hurt, I WANT immediate care SO I CAN relax knowing that she is pain-free
37. Jobs Theory: Summary & Takeaways
• An innovative approach to solving customer problems
• Framing the customer’s problem in 3 dimensions:
• Situation “When..”
• Motivation “I want to..”
• Expected Outcome “…so I can …”
• Identify where your product needs to compete vs. delight vs. compromise
• Great framework as you prepare for focus groups
38. Blue Ocean Strategy
Systematic approach to finding uncontested markets or creating new demand
From: cirquedusoleil.com
#2
2 types of blue oceans:
1. Launch completely new industries e.g. Amazon
with online book retailing, ebay with online
auctions
1. Expand boundaries of existing industry e.g.
Cirque du Soleil
Read more: https://www.blueoceanstrategy.com/bos-moves/cirque-du-soleil/
39. Blue Ocean Strategy: Four Actions Framework
•Which factors that
the industry has long
competed on should
be eliminated?
•Which factors should
be created that the
industry has never
offered?
•What factors were a
result of competing
against other
industries and can be
reduced?
•What factors should
be raised well above
the industry's
standard?
Raise Reduce
EliminateCreate
1. Similar to Jobs Theory, considers when a
“job” or a “factor” is good enough or can
be eliminated
1. Modern take on classic Porter’s 5 Forces
1. Focus on strategic decision making than
competitor analysis
40. Case Study: iPhone
• Computing power
• Ease of use
• Easy to carry
• Connectivity
• Built-in camera
• Reliability
Source:
https://i.ytimg.com/vi/U3i7TTX5SRI/hqdefault.jpg
After years of competing with the PC, Steve Jobs expanded market boundaries to Mobile. Disrupted the camera
industry. Build incredible momentum and market cap bringing together Devices & Services.
41. Jobs Theory & Blue Ocean: Recap
• Complementary frameworks
• Use Jobs Theory first to deeply understand what the customers are trying to get done, their
circumstances, desired outcomes, and constraints
• Use Blue Ocean to identify a unique market space that delights customers and is hard for
competitors to replicate
• Goal: Avoid head-to-head competition
42. From: cdn.slidemodel.com
Porter’s Five Forces
Classic theory of competitive analysis to win
#3
1. Threat of new Entrants
2. Threat of Substitutes
3. Bargaining power of Buyers
4. Bargaining power of
Suppliers
5. Rivalry among Competitors
44. Blue Ocean vs. Porter’s Forces in the Airlines Industry
Read more: http://www.richardsona.com/blog/2010/7/7/what-you-can-learn-from-virgin-americas-strategy-canvas.html
Southwest Airlines used Porter’s Forces while Virgin Atlantic adopted Blue Ocean to formalize their business strategies
45. From: businessnewsdaily.com
BCG Matrix
Useful for strategic planning to decide where to invest your $$
#4
• Milk the Cash Cows
• Divest in the Dogs
• Spend on the Stars
• Experiment with Question Marks
46. BCG Matrix in the Product Lifecycle
1. Most products start as question
marks
1. If market share is low, they will
absorb lot of cash
1. Some question marks, become
dogs while other grow to be
stars and cash cows
Source: https://www.slideshare.net/9579764806/bcg-matrix-with-example
48. BCG Matrix - Applications
1. Mini-CEO mindset
1. Macro - Managing product features within product, or products
within product area
1. Micro - manage attributes within a feature
1. Understanding and making career choices
49. From: mindtheproduct.com
Kano Model
Famous ASQ methodology to understand and classify customer needs
#5
Customers don’t
know to ask for
this
“Must” be met to
avoid
unhappiness
Customer
“wants” for
happiness
50. Source: foldingburritos.com/kano-model
Feature present
How would you feel if our battery life was longer 8 hours?
Feature NOT present
How would you feel if our battery lasted less 8 hours?
FEATURE NOT PRESENT
FEATUREPRESENT
Classifying customer needs
D - Delighters
S – Satisfiers
E – Expectations
X – Don’t care
Q – Questionable
R – Reverse
51. Like Expec
t
Don’t
care
Live
with
Dislike
Like Q D D D S
Expec
t
R I I I E
Don’t
care
R I I I E
Live
with
R I I I E
Dislike R R R R Q
FEATURE NOT PRESENT
FEATUREPRESENT
Classifying customer needs
D - Delighters
S – Satisfiers
E – Expectations
X – Don’t care
Q – Questionable
R – Reverse
Must-haves
Line of indifference
52. Case Study: Disney Cruises
• Kids eat free
• Free room service
• Fireworks
• Special acts of kindness
• Towel Animals!
Source: cruises.priceline.com
Further reading: https://sigmazone.com/kanos_model
53. • Analogies
• Personal, social and emotional moments
• 5 Whys
• Free beer
• Under promise, over deliver
• Value stream mapping
• Fishbones
• Voice of customer analysis
See more: bing.com/explore
Finding Delighters
Read more: http://asq.org/learn-about-quality/six-sigma/tools.html
https://www.google.com/doodles
55. KANO: Takeaways and things to remember
• Rigorous approach to identifying and classifying customer needs
• Popularized by ASQ and used widely in LEAN / Six Sigma methodologies
• Supplemented with rigorous behavioral analyses to be effective
• Identifying delighters is tricky, use analogies
56. Perception campaigns, TV Ads
Value prop alignment
Referral partnerships (Disti deals(
Engaging video (welcome to Bing, user tour)
Constant drumbeat
Event sponsorships (salon dinners)
Account based marketing (@Work)
Print media: Magazines/Newsletter
(A)AARRR Pirate Metrics#6
Awareness0
Read more: AARRR
https://www.pierrelechelle.com/aarrr-pirate-metrics
61. Lean UX#7
Source: https://www.agriya.com/blog/
Read more: https://www.interaction-design.org
• Quick and iterative
• Focus on users
• Early feedback
• Hypothesis testing
• Focus on
collaboration
Takeaway: If no data or evidence, walk away from an idea
62. Lean UX: Canvas & Tools
Source: https://realtimeboard.com/examples/lean-ux-canvas/
Tools per stage
Steps 1 and 2:
• Job Stories (use Jobs to be done)
Steps 3 and 4:
• Personas & Job Stories
Steps 4, 6, 7:
• Affinity Diagrams & 2 x 2s
Step 5:
• Task Flows, Designs, Story boards
66. A Typical User Journey
DISCOVER RETURN BUY SHARE=+ENGAGE ++
Determine primary and secondary
goals for your feature / product
Pick the features and metrics that
will move the right goal
67. Measuring Feature Discovery
DISCOVER
1. How many total Users
1. How many total Active Users – Daily, Monthly using
feature, How many Active Days
1. What % of total users see feature X
1. Where are the users coming from – entry points,
marketing channels Product Level
User Level
Feature Level
68. Measuring User Engagement
DISCOVER ENGAGE+
1. How many Users are seeing feature X
1. How many Users are clicking or engaging with feature X
1. How many Users leave after seeing feature X (churn, bounce rate)
1. What is a user’s engagement before / after seeing feature X?User Level
Feature Level
69. Measuring User Retention
DISCOVER RETURNENGAGE ++
1. In a 30 day window, how many Users that saw feature X
returned to use feature X
1. In a 30 day window, how many Users that saw feature X
returned to the product AND used a different feature Y
1. For users that saw Feature X, did overall engagement
with product increase?
1. Corollary: Are engaged users of product using feature
X?
Product Level
User Level
70. Measuring Monetization
DISCOVER RETURN BUY+ENGAGE ++
1. What is the customer acquisition cost?
1. What is the average revenue per user?
1. What is the revenue per user for feature X compared
with rest of product?
Product Level
User Level
71. Measuring Advocacy & Fandom
DISCOVER RETURN BUY SHARE=+ENGAGE ++
1. What is the life-time value for the user?
1. Did user refer friends?
1. What is the user saying about the product?
1. What is the revenue per user for the product?Product Level
User Level
72. If you were the product manager for FB Events, what metrics
would you use to measure success?
73. RECAP
Plan
DefineExecute
User Research: Identify underlying
user needs
Frameworks: Structure and
frame problem spaces
Metrics: Prioritize features,
Validate hypotheses
13
2
Start with
Why
How
What