Here’s the playbook Intuit uses to increase its experimentation velocity — even when they face traffic limitations.
Mike Loveridge is not new to running experimentation teams. Before Intuit, he built out programs at Ancestry.com, GE, Humana, and CheapOair. He's an expert at making experimentation work at high velocity, even in traffic-challenged situations.
In this webinar, Mike Loveridge shared his best practices for making CRO work at high velocity, key lessons from scaling multiple teams, and why he's bullish on the future of "test and learn".
Content Targeting and Personalization: Improving Engagement at the Account LevelG3 Communications
"With buyer engagements shifting online, B2B marketers need to deliver digital experiences that resonate with TARGET businesses, differentiate themselves from their competitors, and accelerate the sales cycle. Web analytics, targeting tools and content systems are now adapting to this new B2B buyer, as companies are learning how to engage and connect content to target audiences in order to nurture and accelerate leads to sales. Hear how Adobe has embarked on a journey to connect data from analytics, testing tools and visitor identification technologies to understand their targets, personalize their web experiences and better serve content to the accounts that are not only most likely to convert, but also most likely to buy.
Top tactics for identifying, engaging and converting visitors from your most important web segments Identify the top conversion metrics to pay attention to and optimize against Learn how to engage visitors—and keep them engaged—utilizing personalization technology"
Prove It: Making the Case for ExperimentationOptimizely
In the webinar, we’ll cover:
- Steps to build your own business case for experimentation
- Key considerations in estimating your ROI on future experiments
- Mistakes to avoid in building an experimentation program
- Exclusive insights from our research with Harvard and Duke on how experimentation positively affects innovation and success
Learn how Optimizely works on your website.
Topics covered include:
-Snippet Implementation
-Snippet Delivery and Timing
-Common Causes of Flashing
-Snippet & Website Performance
-Tips & Tricks
Join us for another #ImpactSalesforceSaturday, a series of online Salesforce Saturday sessions.
We invite all – Developers – Administrators – Group Leaders – Consultants with advanced, intermediate or beginner level knowledge on Salesforce(Sales Cloud, Service Cloud, Pardot, Marketing Cloud, IOT, CPQ, Einstein, etc).
Topic: Drum into understanding of prediction builder with NBA
Date and Time: Saturday, October 3, 2020,
07:30 PM to 08:30 PM IST
Speaker: Rajat Jain
Rajat is a Salesforce Einstein Champion. He is a 8x Salesforce Certified and Currently working as a Program Specialist at MTX Group.
Agenda:
1. Introduction
2. Drum into understanding of prediction builder with NBA
Magento Meetup New Delhi- AB Testing
This slide is all about AB testing and this slide is having details about-
What is AB testing?
Why to opt AB testing?
How to do AB testing?
How to find data insights that will drive a 10X impact Optimizely
Your product is the most important influence on your user experience and lifetime value. The ability to continually learn from your product changes and maximize your outcomes is a critical indicator of driving revenue for your business. Don't be complacent with incremental changes, learn how to find insights that will drive a 10x impact for your business.
Hear from Tanner McGrath, Head of Product Analytics, and Bilal Mahmood, Head of Product from Amplitude cover:
- Using your product as the influencer for your user’s experience and lifetime value.
- Learning from your product changes and maximize your outcomes to drive revenue for your business
- Finding insights that will drive a 10x impact for your business
Content Targeting and Personalization: Improving Engagement at the Account LevelG3 Communications
"With buyer engagements shifting online, B2B marketers need to deliver digital experiences that resonate with TARGET businesses, differentiate themselves from their competitors, and accelerate the sales cycle. Web analytics, targeting tools and content systems are now adapting to this new B2B buyer, as companies are learning how to engage and connect content to target audiences in order to nurture and accelerate leads to sales. Hear how Adobe has embarked on a journey to connect data from analytics, testing tools and visitor identification technologies to understand their targets, personalize their web experiences and better serve content to the accounts that are not only most likely to convert, but also most likely to buy.
Top tactics for identifying, engaging and converting visitors from your most important web segments Identify the top conversion metrics to pay attention to and optimize against Learn how to engage visitors—and keep them engaged—utilizing personalization technology"
Prove It: Making the Case for ExperimentationOptimizely
In the webinar, we’ll cover:
- Steps to build your own business case for experimentation
- Key considerations in estimating your ROI on future experiments
- Mistakes to avoid in building an experimentation program
- Exclusive insights from our research with Harvard and Duke on how experimentation positively affects innovation and success
Learn how Optimizely works on your website.
Topics covered include:
-Snippet Implementation
-Snippet Delivery and Timing
-Common Causes of Flashing
-Snippet & Website Performance
-Tips & Tricks
Join us for another #ImpactSalesforceSaturday, a series of online Salesforce Saturday sessions.
We invite all – Developers – Administrators – Group Leaders – Consultants with advanced, intermediate or beginner level knowledge on Salesforce(Sales Cloud, Service Cloud, Pardot, Marketing Cloud, IOT, CPQ, Einstein, etc).
Topic: Drum into understanding of prediction builder with NBA
Date and Time: Saturday, October 3, 2020,
07:30 PM to 08:30 PM IST
Speaker: Rajat Jain
Rajat is a Salesforce Einstein Champion. He is a 8x Salesforce Certified and Currently working as a Program Specialist at MTX Group.
Agenda:
1. Introduction
2. Drum into understanding of prediction builder with NBA
Magento Meetup New Delhi- AB Testing
This slide is all about AB testing and this slide is having details about-
What is AB testing?
Why to opt AB testing?
How to do AB testing?
How to find data insights that will drive a 10X impact Optimizely
Your product is the most important influence on your user experience and lifetime value. The ability to continually learn from your product changes and maximize your outcomes is a critical indicator of driving revenue for your business. Don't be complacent with incremental changes, learn how to find insights that will drive a 10x impact for your business.
Hear from Tanner McGrath, Head of Product Analytics, and Bilal Mahmood, Head of Product from Amplitude cover:
- Using your product as the influencer for your user’s experience and lifetime value.
- Learning from your product changes and maximize your outcomes to drive revenue for your business
- Finding insights that will drive a 10x impact for your business
Yahel Carmon, Director of Insight Produce, Blue State Digital
James Fox, Solutions Architect, Optimizely
Optimizely has powerful features, both exposed and under the hood, that make it easier for developers to implement sophisticated tests without re-inventing the wheel with each test.
Yahel Carmon, Director of Product Insights at Blue State Digital, and James Fox, Solutions Architect at Optimizely, discuss the ways Optimizely makes developers' lives easier, giving demonstrations of the technical strengths of the platform and real-world examples of how to leverage Optimizely to manage an online testing program.
Learn how to implement Optimizely the way advanced users and developers do, and ensure you're not missing out on its hidden gems.
Test & Learn: Automation & Experimentation - In-Depth Discussion on Data-Driv...Optimizely
Across the web, businesses are competing for user attention and loyalty in marketplaces that are constantly growing and evolving. In this fast moving environment, being data-driven in improving customer experience is the only way to reliably get and stay ahead of the competition. This is easier said than done - issues of what to focus on next and whether your work is improving business outcomes inevitably arise. Acting quickly and acting with confidence can sometimes be at odds with each other. In this session, Chrix Finne (VP of Product - Heap) and Matt Gomes (Director of Marketing - Opploans) discuss how Opploans approaches these challenges and more.
From Personalization to Individualization – Delivering a Unique ExperienceCapgemini
Personalization has its place in delivering great experience, but it’s not enough for consumers today. To achieve higher brand loyalty and customer satisfaction we must build & deliver individualized experiences which drive higher engagement. Learn how to make personalized and individualized experiences a reality.
Speaker: Naresh Khanduri, Capgemini
Making Your Hypothesis Work Harder to Inform Future Product StrategyOptimizely
At Treatwell, each experiment goes beyond improving a single business metric. Experimentation works to evolve their product while enriching customer insights in order to deliver the best digital experience to their users. Join Laura Howard, Lead Product Manager, and Dennis Meisner, Senior Product Analyst, to learn their secret to making their hypothesis work harder and how getting their hypothesis right has improved Treatwell’s funnel progression and order health, as well as helped them make critical decisions on their product experience.
How to Reduce Customer Acquisition Costs and Optimize Advertising SpendOptimizely
Discover how you can optimize your advertising spend, boost your ROI, and reduce your CAC with Optimizely’s senior strategy consultant, Brad Yee.
What you will learn:
- How to run effective landing page campaigns that boost the ROI of your digital programs
- Best practices for unlocking the power of symmetric messaging to acquire more leads at no cost
- What strategies we’ve seen to be successful at reducing CAC and sales support costs
Optimizely, HEMA & Farfetch - Unlock the Potential of Digital Experimentation...Optimizely
Consistency is key. But it is hard, very hard. How do you ensure you keep the ball rolling and continue to reinvent experiences for your users? This is where the Optimizely Professional Services Team comes in to act as an extension of your team. These experienced professionals have seen over 100.000 experiences being created and will help you unlock the potential of Optimizely's products and digital experimentation.
In this session, our customer Farfetch will join us for a fireside chat to talk about how they extend their team with Optimizely Services Professionals, who understand the challenge of building an experimentation program and who help them excel in their role in the business by helping them prove the value of experimentation.
Take Your Experimentation Program to the Next LevelOptimizely
Are you already running experiments at scale and think there is nothing left to learn? Well, first of all congratulations. And second, think again.
Because when it comes to the number of experiments you run, more is always more. Join this webinar to find out why there are no limits to experimentation – and how you can keep on making tangible progress.
This webinar will show you:
- How to embed ownership of experimentation into each and every team
- How to keep the experimentation engine running with fresh and creative testing ideas
- How to embed a winning experimentation culture across the entire business
Optimizely & Photobox - DON'T PANIC: The No-Confusion Experimentation Startup...Optimizely
How do you know where to start with experimentation? What if you don’t have enough information, or simply too much to decide where to begin and where to invest your time/effort/money?
In this breakout session we will cover how to cut the BS by treating experimentation as an “internal services startup”, where the customers are the teams in your business: commercial, trading, marketing, product, SEO etc.
You wouldn’t start a startup by hiring a bunch of people without a tool or an idea to work on, or buy an office or expensive work management solution for a startup of 3 people without developing a product and taking it to market first. So why treat experimentation that way?
An Experimentation Framework: How to Position for Triple Digit GrowthOptimizely
You’ve done the button color A/B test, you’ve optimized your landing pages for better conversion. What next? At B2B organizations large and small, there is still tremendous potential for experimentation to drive innovation and growth. Learn how Brion’s growth team enables rapid iteration across a variety of different domains, teams, and organizations within Cisco. With an organization of 70,000 employees and many distributed divisions, enabling experimentation can be a complex initiative. Learn the framework for upleveling from random testing to
explicit strategy to position your org for triple digit growth.
Testing Across the Enterprise: How Cox Automotive Scales Experimentation to M...Optimizely
In today’s digital economy, consumers expect to buy everything online, even a purchase as significant as a car. Cox Automotive, parent company to brands including Autotrader and Kelley Blue Book, has more than 40,000 auto dealer clients across five continents, and is enabling them to keep up with consumer behavior and insights by implementing an enterprise wide experimentation program. Cox is bridging the gap between consumers, manufacturers, dealers, and lenders at every stage of the automotive experience.
In this session, you’ll hear how this multi-brand, international, matrixed organization has built an enterprise experimentation program that is flexible enough to adapt to various business models and modern-day demands for speed while maintaining testing best practices, r
Experimentation Excellence Webinar Series: Time to scale upOptimizely
Good to great: Time to scale up
If you have already started to transform your digital customer experiences. Now is the time to move on from A/B testing and start experimenting efficiently and at real scale, maximizing ROI. Do you know the ideal number of experiments for this stage of your journey? Answer: 111 per year.
If you’re ready to up your experimentation game, you’re in the right place. This webinar will help you plan an effective experimentation pipeline to dial up the number of experiments you run - based on overall business objectives and ROI.
What you'll learn:
- How to scale the number, depth and quality of experiments
- Why you need to shed legacy technology – and how to build your own technology stack.
- How to build a culture of experimentation that drives buy-in across the board.
Clover Rings Up Digital Growth to Drive ExperimentationOptimizely
Clover's Digital Growth team is responsible for optimizing the merchant's digital experience and they rely on experimentation to guide digital decision-making. This enables them to quickly learn and measure what changes deliver the best outcomes for users.
Join us with Lead Product Manager of Growth, Monil Shah, to learn how Clover:
- Increased digital conversions amongst merchants with an investment in experimentation
- Grew experiment velocity by 4x after replacing Adobe Target
- Designed a framework to efficiently capture and prioritize test ideas, and roll out winners
Becoming a True Experimentation Organization to Drive InnovationOptimizely
When it comes to innovation, managers must operate in a world where past experiences and historical data are not reliable predictors of future success of new ideas. Fortunately, they can now discover whether new products, customer experiences or business models will succeed by subjecting them to rigorous experiments. Never before has it been so economically feasible to run large-scale testing programs. In this presentation, Professor Thomke will show how unleashing this power at large-scale and high-velocity unlocks innovation and drives digital competitiveness. Based on his experience working with leading companies, Professor Thomke will share concrete advice on how to get executive buy-in and take steps towards becoming a true experimentation organization.
Evolving Experimentation from CRO to Product DevelopmentOptimizely
An obsession with data, efficiency, and delivering incredible customer experiences are just a few things that the CNN Consumer Science and Software Engineering teams have in common. Simple A/B testing practices evolved into a culture of experimentation, sparking new development practices across the organization. Learn how they drive results across their entire platform from websites to mobile apps.
How Clorox Experiments Across Brands to Turn Visitors into ConsumersOptimizely
As more brands focus on digital marketing and Direct-to-Consumer strategies, experimentation can help them efficiently increase consumer engagement. At Clorox, a data-driven experimentation strategy helps them leverage insights across multiple brands.
Watch the on-demand webinar to learn:
- How Clorox gathers insights from omnichannel experimentation to turn visitors into consumers
- Clorox’s experimentation strategy including how an experiment to remove price friction helped their conversion rate optimization
- The process behind creating “Ways of Working” for experimentation programs across Clorox’s Direct-to-Consumer (DTC) brands
Optimizely & FedEx - Setting North-Star Metrics to Drive ROI from Experimenta...Optimizely
Managing a large-scale testing program comes with its own unique set of challenges. As a leader, you are further removed from the actual experiments and more focused on the high-level approach. Your teams have different motivations and objectives that take effort to keep aligned. And it is hard to have the helicopter view on the program. Which teams are over and underperforming? What is the value that the entire experimentation program generated?
In this session, we will describe how leaders can create an organization that is aligned around a common North-Star metric that drives experimentation ROI and cascades down to individual team objectives. We will also discuss how to set up the experimentation workflow and metrics to create robust program-level and ROI reporting for other stakeholders.
uShip - Building a Culture Rooted in ExperimentationOptimizely
uShip is an online marketplace that matches consumer and business shippers with transporters. Over the past year plus, they have been working to build their experimentation program, both from a product and marketing perspective.
Through this focused program investment, uShip has increased their experiment velocity by over 450%, and has multiple product teams testing and using staged feature rollouts. All of this has minimized risk to product rollouts while ensuring customer adoption. It hasn’t always been easy, but they know that doubling down on experimentation is integral to their success.
In this webinar, Jamy Squillace & Brooks Lyford from uShip will share how they started an experimentation program from scratch, gained stakeholder buy-in, and are building a culture of experimentation, focused on testing everywhere.
Join us and learn:
How to build an experimentation program from the ground up
Best practices to balance product and client-side experimentation, leveraging Optimizely’s full platform
How to socialize experimentation throughout the organization and begin creating a culture of experimentation
Optimizely Workshop 1: Prioritize your roadmapOptimizely
When your testing roadmap includes dozens of ideas (each with unique requirements) and each team member is vying for her idea to be run first, effective prioritization becomes paramount. This session will focus on the considerations, tools and frameworks you can use to make sure your roadmap is appropriately prioritized to meet your goals.
Zillow + Optimizely: Building the Bridge to $20 Billion RevenueOptimizely
Join Jason Tabert, Senior CRO Marketing Specialist, and learn how Zillow is using Optimizely’s experimentation, personalization and integrations to help grow their revenue to $20 billion by helping their customers cross the real estate chasm from despair to delight.
Run High Impact Experimentation with High-quality Customer DiscoveryOptimizely
Developing a robust A/B/n testing program is critical for every product organization. But there is not a one size fits all approach. Your program must be tailored to your business and audience to be successful. Join Oji Udezue, VP of Product at Calendly, who will share how to craft high-impact customer insights and product experiments, tailored for your company. Oji will draw insights from 20+ years of Product Management at companies like Microsoft and Atlassian and discuss the importance of using qualitative methods to help develop smarter hypotheses with the right tools and practices for your organization.
In this session you will learn:
- Why a strong experimentation culture is important for your product organization
- Proven ways to execute high-impact A/B/n tests with high-quality customer discovery
- The importance of conducting interviews with successful and unsuccessful customers and how to see through your customer’s eyes with live watching techniques
[Webinar] Visa's Journey to a Culture of ExperimentationOptimizely
Join us as we hear Ramkumar Ravichandran, the Director of A/B Testing at Visa Checkout, explain how he created a high impact experimentation program. Ram will take us through the growth of Visa’s program: from selling the value, to laying down the vision, the roadmap and success criteria, to creating the right team and driving engagement with the program.
Attend this webinar to learn:
-How an experimentation program drives business impact.
-A model to drive continuous stakeholder engagement with the program.
-How to build a roadmap that goes above and beyond simple UX optimization.
Why Apps Succeed: 4 Keys to Winning the Digital Quality GamePerfecto by Perforce
Every company with a digital presence aims at delivering a great digital experience. But why do some web and mobile apps succeed better than others? As part of our ongoing search to find out, we surveyed over 1,000 technical experts and business leaders from various industries.
Join us for a live webinar as we discuss the findings of this report with experts from Perfecto, Cigna and Shop.com! Topics include:
-The four main obstacles preventing digital success and how to overcome them
-How web & mobile teams are organized to meet the demand for faster releases
-The digital testing strategies that increase velocity and allow teams to keep up with consumer demand
-Why automation and real-user condition testing is critical for achieving success
Yahel Carmon, Director of Insight Produce, Blue State Digital
James Fox, Solutions Architect, Optimizely
Optimizely has powerful features, both exposed and under the hood, that make it easier for developers to implement sophisticated tests without re-inventing the wheel with each test.
Yahel Carmon, Director of Product Insights at Blue State Digital, and James Fox, Solutions Architect at Optimizely, discuss the ways Optimizely makes developers' lives easier, giving demonstrations of the technical strengths of the platform and real-world examples of how to leverage Optimizely to manage an online testing program.
Learn how to implement Optimizely the way advanced users and developers do, and ensure you're not missing out on its hidden gems.
Test & Learn: Automation & Experimentation - In-Depth Discussion on Data-Driv...Optimizely
Across the web, businesses are competing for user attention and loyalty in marketplaces that are constantly growing and evolving. In this fast moving environment, being data-driven in improving customer experience is the only way to reliably get and stay ahead of the competition. This is easier said than done - issues of what to focus on next and whether your work is improving business outcomes inevitably arise. Acting quickly and acting with confidence can sometimes be at odds with each other. In this session, Chrix Finne (VP of Product - Heap) and Matt Gomes (Director of Marketing - Opploans) discuss how Opploans approaches these challenges and more.
From Personalization to Individualization – Delivering a Unique ExperienceCapgemini
Personalization has its place in delivering great experience, but it’s not enough for consumers today. To achieve higher brand loyalty and customer satisfaction we must build & deliver individualized experiences which drive higher engagement. Learn how to make personalized and individualized experiences a reality.
Speaker: Naresh Khanduri, Capgemini
Making Your Hypothesis Work Harder to Inform Future Product StrategyOptimizely
At Treatwell, each experiment goes beyond improving a single business metric. Experimentation works to evolve their product while enriching customer insights in order to deliver the best digital experience to their users. Join Laura Howard, Lead Product Manager, and Dennis Meisner, Senior Product Analyst, to learn their secret to making their hypothesis work harder and how getting their hypothesis right has improved Treatwell’s funnel progression and order health, as well as helped them make critical decisions on their product experience.
How to Reduce Customer Acquisition Costs and Optimize Advertising SpendOptimizely
Discover how you can optimize your advertising spend, boost your ROI, and reduce your CAC with Optimizely’s senior strategy consultant, Brad Yee.
What you will learn:
- How to run effective landing page campaigns that boost the ROI of your digital programs
- Best practices for unlocking the power of symmetric messaging to acquire more leads at no cost
- What strategies we’ve seen to be successful at reducing CAC and sales support costs
Optimizely, HEMA & Farfetch - Unlock the Potential of Digital Experimentation...Optimizely
Consistency is key. But it is hard, very hard. How do you ensure you keep the ball rolling and continue to reinvent experiences for your users? This is where the Optimizely Professional Services Team comes in to act as an extension of your team. These experienced professionals have seen over 100.000 experiences being created and will help you unlock the potential of Optimizely's products and digital experimentation.
In this session, our customer Farfetch will join us for a fireside chat to talk about how they extend their team with Optimizely Services Professionals, who understand the challenge of building an experimentation program and who help them excel in their role in the business by helping them prove the value of experimentation.
Take Your Experimentation Program to the Next LevelOptimizely
Are you already running experiments at scale and think there is nothing left to learn? Well, first of all congratulations. And second, think again.
Because when it comes to the number of experiments you run, more is always more. Join this webinar to find out why there are no limits to experimentation – and how you can keep on making tangible progress.
This webinar will show you:
- How to embed ownership of experimentation into each and every team
- How to keep the experimentation engine running with fresh and creative testing ideas
- How to embed a winning experimentation culture across the entire business
Optimizely & Photobox - DON'T PANIC: The No-Confusion Experimentation Startup...Optimizely
How do you know where to start with experimentation? What if you don’t have enough information, or simply too much to decide where to begin and where to invest your time/effort/money?
In this breakout session we will cover how to cut the BS by treating experimentation as an “internal services startup”, where the customers are the teams in your business: commercial, trading, marketing, product, SEO etc.
You wouldn’t start a startup by hiring a bunch of people without a tool or an idea to work on, or buy an office or expensive work management solution for a startup of 3 people without developing a product and taking it to market first. So why treat experimentation that way?
An Experimentation Framework: How to Position for Triple Digit GrowthOptimizely
You’ve done the button color A/B test, you’ve optimized your landing pages for better conversion. What next? At B2B organizations large and small, there is still tremendous potential for experimentation to drive innovation and growth. Learn how Brion’s growth team enables rapid iteration across a variety of different domains, teams, and organizations within Cisco. With an organization of 70,000 employees and many distributed divisions, enabling experimentation can be a complex initiative. Learn the framework for upleveling from random testing to
explicit strategy to position your org for triple digit growth.
Testing Across the Enterprise: How Cox Automotive Scales Experimentation to M...Optimizely
In today’s digital economy, consumers expect to buy everything online, even a purchase as significant as a car. Cox Automotive, parent company to brands including Autotrader and Kelley Blue Book, has more than 40,000 auto dealer clients across five continents, and is enabling them to keep up with consumer behavior and insights by implementing an enterprise wide experimentation program. Cox is bridging the gap between consumers, manufacturers, dealers, and lenders at every stage of the automotive experience.
In this session, you’ll hear how this multi-brand, international, matrixed organization has built an enterprise experimentation program that is flexible enough to adapt to various business models and modern-day demands for speed while maintaining testing best practices, r
Experimentation Excellence Webinar Series: Time to scale upOptimizely
Good to great: Time to scale up
If you have already started to transform your digital customer experiences. Now is the time to move on from A/B testing and start experimenting efficiently and at real scale, maximizing ROI. Do you know the ideal number of experiments for this stage of your journey? Answer: 111 per year.
If you’re ready to up your experimentation game, you’re in the right place. This webinar will help you plan an effective experimentation pipeline to dial up the number of experiments you run - based on overall business objectives and ROI.
What you'll learn:
- How to scale the number, depth and quality of experiments
- Why you need to shed legacy technology – and how to build your own technology stack.
- How to build a culture of experimentation that drives buy-in across the board.
Clover Rings Up Digital Growth to Drive ExperimentationOptimizely
Clover's Digital Growth team is responsible for optimizing the merchant's digital experience and they rely on experimentation to guide digital decision-making. This enables them to quickly learn and measure what changes deliver the best outcomes for users.
Join us with Lead Product Manager of Growth, Monil Shah, to learn how Clover:
- Increased digital conversions amongst merchants with an investment in experimentation
- Grew experiment velocity by 4x after replacing Adobe Target
- Designed a framework to efficiently capture and prioritize test ideas, and roll out winners
Becoming a True Experimentation Organization to Drive InnovationOptimizely
When it comes to innovation, managers must operate in a world where past experiences and historical data are not reliable predictors of future success of new ideas. Fortunately, they can now discover whether new products, customer experiences or business models will succeed by subjecting them to rigorous experiments. Never before has it been so economically feasible to run large-scale testing programs. In this presentation, Professor Thomke will show how unleashing this power at large-scale and high-velocity unlocks innovation and drives digital competitiveness. Based on his experience working with leading companies, Professor Thomke will share concrete advice on how to get executive buy-in and take steps towards becoming a true experimentation organization.
Evolving Experimentation from CRO to Product DevelopmentOptimizely
An obsession with data, efficiency, and delivering incredible customer experiences are just a few things that the CNN Consumer Science and Software Engineering teams have in common. Simple A/B testing practices evolved into a culture of experimentation, sparking new development practices across the organization. Learn how they drive results across their entire platform from websites to mobile apps.
How Clorox Experiments Across Brands to Turn Visitors into ConsumersOptimizely
As more brands focus on digital marketing and Direct-to-Consumer strategies, experimentation can help them efficiently increase consumer engagement. At Clorox, a data-driven experimentation strategy helps them leverage insights across multiple brands.
Watch the on-demand webinar to learn:
- How Clorox gathers insights from omnichannel experimentation to turn visitors into consumers
- Clorox’s experimentation strategy including how an experiment to remove price friction helped their conversion rate optimization
- The process behind creating “Ways of Working” for experimentation programs across Clorox’s Direct-to-Consumer (DTC) brands
Optimizely & FedEx - Setting North-Star Metrics to Drive ROI from Experimenta...Optimizely
Managing a large-scale testing program comes with its own unique set of challenges. As a leader, you are further removed from the actual experiments and more focused on the high-level approach. Your teams have different motivations and objectives that take effort to keep aligned. And it is hard to have the helicopter view on the program. Which teams are over and underperforming? What is the value that the entire experimentation program generated?
In this session, we will describe how leaders can create an organization that is aligned around a common North-Star metric that drives experimentation ROI and cascades down to individual team objectives. We will also discuss how to set up the experimentation workflow and metrics to create robust program-level and ROI reporting for other stakeholders.
uShip - Building a Culture Rooted in ExperimentationOptimizely
uShip is an online marketplace that matches consumer and business shippers with transporters. Over the past year plus, they have been working to build their experimentation program, both from a product and marketing perspective.
Through this focused program investment, uShip has increased their experiment velocity by over 450%, and has multiple product teams testing and using staged feature rollouts. All of this has minimized risk to product rollouts while ensuring customer adoption. It hasn’t always been easy, but they know that doubling down on experimentation is integral to their success.
In this webinar, Jamy Squillace & Brooks Lyford from uShip will share how they started an experimentation program from scratch, gained stakeholder buy-in, and are building a culture of experimentation, focused on testing everywhere.
Join us and learn:
How to build an experimentation program from the ground up
Best practices to balance product and client-side experimentation, leveraging Optimizely’s full platform
How to socialize experimentation throughout the organization and begin creating a culture of experimentation
Optimizely Workshop 1: Prioritize your roadmapOptimizely
When your testing roadmap includes dozens of ideas (each with unique requirements) and each team member is vying for her idea to be run first, effective prioritization becomes paramount. This session will focus on the considerations, tools and frameworks you can use to make sure your roadmap is appropriately prioritized to meet your goals.
Zillow + Optimizely: Building the Bridge to $20 Billion RevenueOptimizely
Join Jason Tabert, Senior CRO Marketing Specialist, and learn how Zillow is using Optimizely’s experimentation, personalization and integrations to help grow their revenue to $20 billion by helping their customers cross the real estate chasm from despair to delight.
Run High Impact Experimentation with High-quality Customer DiscoveryOptimizely
Developing a robust A/B/n testing program is critical for every product organization. But there is not a one size fits all approach. Your program must be tailored to your business and audience to be successful. Join Oji Udezue, VP of Product at Calendly, who will share how to craft high-impact customer insights and product experiments, tailored for your company. Oji will draw insights from 20+ years of Product Management at companies like Microsoft and Atlassian and discuss the importance of using qualitative methods to help develop smarter hypotheses with the right tools and practices for your organization.
In this session you will learn:
- Why a strong experimentation culture is important for your product organization
- Proven ways to execute high-impact A/B/n tests with high-quality customer discovery
- The importance of conducting interviews with successful and unsuccessful customers and how to see through your customer’s eyes with live watching techniques
[Webinar] Visa's Journey to a Culture of ExperimentationOptimizely
Join us as we hear Ramkumar Ravichandran, the Director of A/B Testing at Visa Checkout, explain how he created a high impact experimentation program. Ram will take us through the growth of Visa’s program: from selling the value, to laying down the vision, the roadmap and success criteria, to creating the right team and driving engagement with the program.
Attend this webinar to learn:
-How an experimentation program drives business impact.
-A model to drive continuous stakeholder engagement with the program.
-How to build a roadmap that goes above and beyond simple UX optimization.
Why Apps Succeed: 4 Keys to Winning the Digital Quality GamePerfecto by Perforce
Every company with a digital presence aims at delivering a great digital experience. But why do some web and mobile apps succeed better than others? As part of our ongoing search to find out, we surveyed over 1,000 technical experts and business leaders from various industries.
Join us for a live webinar as we discuss the findings of this report with experts from Perfecto, Cigna and Shop.com! Topics include:
-The four main obstacles preventing digital success and how to overcome them
-How web & mobile teams are organized to meet the demand for faster releases
-The digital testing strategies that increase velocity and allow teams to keep up with consumer demand
-Why automation and real-user condition testing is critical for achieving success
Why Apps Succeed: 4 Keys to Winning the Digital Quality GameAustin Marie Gay
Every company with a digital presence aims at delivering a great digital experience. But why do some web and mobile apps succeed better than others? As part of our ongoing search to find out, we surveyed over 1,000 technical experts and business leaders from various industries.
Join us for a live webinar as we discuss the findings of this report with experts from Perfecto, Cigna and Shop.com! Topics include:
-The four main obstacles preventing digital success and how to overcome them
-How web & mobile teams are organized to meet the demand for faster releases
-The digital testing strategies that increase velocity and allow teams to keep up with consumer demand
-Why automation and real-user condition testing is critical for achieving success
Test Everything: TrustRadius Delivers Customer Value with ExperimentationOptimizely
When done right, experimentation can help you validate the product you’re building and create winning customer experiences. And it doesn’t take a big engineering team to make this happen.
TrustRadius, the most trusted review site for business technology, uses experimentation to build an online community through website and server-side experimentation. The small but mighty TrustRadius team runs experiments throughout the buyer’s journey to engage different user personas and understand outcomes in real-time.
Watch the webinar recording featuring Rilo Stark, product manager at TrustRadius, and Jack Peden, senior software engineer, to understand their data-driven experimentation strategy and how TrustRadius uses Optimizely Web and Full Stack products to tailor experiences to different customer segments and mitigate risk through A/B/N and painted door tests.
The Wall Street Journal - Optimizing MembershipOptimizely
For the past three years, The Wall Street Journal has used experimentation to help create their membership experience. Starting with acquisition and expanding to engagement, product, and retention testing, WSJ has built a data-driven culture that leverages these experiments to deliver a premium experience that grows their base and keeps members coming back for more.
In this webinar, Olivia Simon from The Wall Street Journal’s optimization team shares how WSJ created their robust and successful testing program.
You’ll learn:
How to think about testing in a membership ecosystem
How WSJ prioritizes tests and earns stakeholder buy-in
About WSJ’s emphasis on testing throughout the customer acquisition funnel
How WSJ expanded their testing funnel beyond acquisition, and the key testing moments they target for consumer engagement and retention
Conducting the Experimentation OrchestraOptimizely
Join us to hear from Jill Brown Thomas, the head of the Optimization program at Wolverine Worldwide, as she discusses her own experience changing culture and building a testing program across 12 very different brands. From alignment on people, to building process, to buying technology, to changing and establishing new culture, Jill will discuss what works and what doesn’t, and what the future holds for Wolverine’s Optimization Journey.
Attend this webinar and:
-How to unify best practices across a portfolio of brands.
-A new model for uncovering what’s important to test from Optimizely’s solution partner Clearhead.
-New use cases for running experiments that move the needle.
How FOX Tests Everything from Mobile, Web, to Living Room DevicesOptimizely
In this webinar, Sara Miller and Paul Tongyoo will discuss how FOX Corporation tests and observes outcomes before implementing, while building a culture of experimentation.
- How FOX tests experiences that optimize conversion rates of subscription services, engagement and retention.
- FOX’s ongoing journey to find the right level of process for their Center of Excellence.
- How FOX product and marketing teams work together using Optimizely to run experiments side by side.
implementing_ai_for_improved_performance_testing_the_key_to_success.pdfsarah david
Experience a revolution in software testing with our AI-driven Performance Testing solutions at Cuneiform Consulting. In a world dominated by technological advancements, implementing AI is the key to unlocking unparalleled software performance. Boost your applications with speed, scalability, and responsiveness, ensuring a seamless user experience. Cuneiform Consulting leads the way in reshaping quality assurance, adhering to the predictions of the World Quality Report for AI's significant role in the next decade. Join us to stay ahead, save costs with constant AI-powered testing, and explore the boundless possibilities of AI/ML development services. Contact us now for a future-proof digital transformation!
Cuneiform engineering solutions have geared up to revolutionize business giants. Our passionate team works tirelessly to solve today’s and tomorrow’s digital business challenges. we also deal with innovative digital platforms that
Driving Agile Product Development with ExperimentationSplit Software
The goal of every engineering & product organization can be summarized as: “Rapid development of valuable software.” Engineers are responsible for rapid development, while product managers are responsible for proving it’s value. But how can you as product manager be responsible for proving the value of a feature just as quickly as your engineering team is releasing those features? The key is through experimentation. Experimentation sits at the confluence of DevOps and product management and allows you to make smarter product decisions faster. In this workshop, we’ll explore the experimentation practices of some of the fastest iterating companies, like Amazon, Google, and Linkedin, and how they achieve a cadence of development that exactly mirrors their ability to measure its value. Then we will cover the challenges and suggested solutions to bringing experimentation to your organization.
Adil Aijaz is CEO and co-founder at Split Software. Adil brings over ten years of engineering and technical experience having worked as a software engineer and technical specialist at some of the most innovative enterprise companies such as LinkedIn, Yahoo!, and most recently RelateIQ (acquired by Salesforce). Prior to founding Split in 2015, Adil’s tenure at these companies helped build the foundation for the startup giving him the needed experience in solving data-driven challenges and delivering data infrastructure. Adil holds a Bachelor of Science in Computer Science & Engineering from UCLA and a Master of Engineering in Computer Science from Cornell University.
Intro to Data Analytics with Oscar's Director of ProductProduct School
The Director of Product at Oscar, Vasudev Vadlamudi, went over key types of quantitative analysis that B2C product managers use on the job including: funnels, cohorts, and a/b testing. For each one he looked into when and why they are used, and used examples.
Triple Your Experiment Velocity by Integrating Optimizely with Your Data Ware...Optimizely
Harnessing the power of data and experimentation is central to Updater’s goal of revolutionizing the moving industry. However, while scaling their experimentation program, the team at Updater had to overcome the challenge that many of their conversions happen offline or on third-party sites and therefore couldn't be used in testing. During this session, you’ll learn how Updater fixed this blind spot in their funnels, tripled experiment velocity, and discovered deep user insights by integrating their experimentation platform and data warehouse.
Geddes Munson, Mixpanel
Darrell Benatar, UserTesting.com
Shai Tamari, ClickTale
For many customers Optimizely has become a critical platform to listen to customers' web engagement and turn those data points into an improved experience. It's natural that users want to extend the Optimizely platform with all of their other marketing applications to become more effective in their decision making. Learn about a few of the complementary platforms to Optimizely that will help you unlock the most conversions from your web properties.
The partners attending discussed:
-How Clicktale's heatmaps and session playbacks can uncover the areas of the webpage that are most influential to your customers' decision-making process and may require further optimization
-How integrating Optimizely with the analytics platform Mixpanel can help you track more granular goals and view comprehensive reporting that seamlessly integrates with your business.
-Why you should use Usertesting.com to observe where customers are finding challenges on your site, and create tests to then improve their experience.
Measuring Performance in a Future Media WorldOrigami Logic
As brands expand their use of digital media and adtech to engage and build relationships with consumers, the ability to translate performance data into meaningful insights about what’s working and what’s not has become an essential part of marketing success. According to a new report published by Brand Innovators and Origami Logic, however, only 3 out of 10 marketers currently excel in their efforts to extract insights from their marketing performance data. We’ll dive into the survey findings and explore why 80% of marketers are putting more focus on measuring performance in 2017. You’ll walk away with practical tips about how your organization can improve its measurement effectiveness.
For a company like Blue Apron that is radically transforming the way we buy, prepare and eat meals, experimentation is mission critical for delivering a great customer experience. Blue Apron doesn’t just think about experimenting to improve short term conversion, they focus on ways to impact longer term metrics like retention, referrals, and lifetime value.
Join John Cline, engineering manager at Blue Apron, to learn how his team has built their experimentation program on Optimizely’s platform.
Attend this webinar to learn:
-How Blue Apron built their experimentation program on top of Optimizely Full Stack
-How developers play a critical role in experimentation
-The key considerations for developers when thinking about experimentation
Accelerate and Streamline Performance Testing with AI-powered Test Automation...RohitBhandari66
Performance testing is the process of determining a system's stability and responsiveness under a particular workload. Performance tests are typically conducted to assess application size, speed, resilience, and dependability.
Top software performance testing practices for your digital transformation st...Cigniti Technologies Ltd
Over the years, enterprises of all shapes and sizes have being working towards enhancing customer experience by improving the performance of the device or of the application on the device. Digital Transformation makes performance validation all the more critical. These are some fundamental rules that you can consider while fine tuning your Application’s Performance chart in a ‘digitally’ challenging scenario.
Similar to Intuit - How to Scale Your Experimentation Program (20)
Learn the real best practices and pitfalls of experimentation based on scientific research and insights. Hazjier is co-author of three studies on experimentation with Harvard Business School and his work is covered in the book Experimentation Works. This talk will dive into the best practices of experiment design, the role of hierarchy in experimentation teams, and the value of experimentation.
Atlassian's Mystique CLI, Minimizing the Experiment Development CycleOptimizely
Mystique CLI is an Atlassian developed CLI for Optimizely Web. It is a multi-phase project that is currently focusing on improving the development cycle for growth engineers. Currently, Mystique is the standard for developing web experiments at Atlassian, and is capable of a wide variety of operations utilizing Optimizely's REST API. This includes creating, updating, testing, and duplicating experiments/personalization campaigns, as well as "promoting" these entities between Optimizely projects for different environments (e.g. from QA => Prod). It has significantly reduced manual overhead and decreased development time by up to 95% for particular actions.
Autotrader Case Study: Migrating from Home-Grown Testing to Best-in-Class Too...Optimizely
Autotrader's Product and Engineering teams were ahead of the curve many years ago when they built a home-grown solution for leveraging feature flags to support server-side testing. Over the years, the industry eventually caught up and surpassed this proprietary tooling and the team had a choice to make: Re-invest into the local solution or completely retool. In this case study, Scott Povlot, Principal Technical Architect, and Seth Stuck, Director of R&D Analytics, will discuss their journey in selecting and then migrating to their next generation of experimentation tooling. They will discuss selection criteria, pros and cons, and outline how they were able to make the migration to Optimizely successful and lessons learned along the way.
The Future of Optimizely for Technical TeamsOptimizely
Optimizely has been reimagining the future of progressive delivery and experimentation, improving every part of the platform to empower technical teams to build, ship, and iterate faster. Learn about the latest enhancements to Optimizely Full Stack and the Optimizely Data Platform, and get a sneak peek at the upcoming roadmap.
Empowering Agents to Provide Service from Anywhere: Contact Centers in the Ti...Optimizely
The coronavirus pandemic has pushed contact center leaders to accelerate technology adoption and empower their teams to work remotely. Join this session with State Farm, Salesforce, and Optimizely to learn how contact centers can adapt quickly and successfully in the time of COVID.
Our new normal has accelerated eCommerce trends by 4-6 years. The Optimizely team shares how experimentation can help retailers fast forward their online sales strategy with Microsoft Dynamics 365 Commerce.
Building an Experiment Pipeline for GitHub’s New Free Team OfferingOptimizely
In April 2020, GitHub announced a new Free for Teams plan. Behind the scenes, the engineering team was also setting up an experiment pipeline and an integration with Optimizely. In this session, we will take a peek at the process of setting up the integration, learning about the behavior of this new Free for Teams customer segment, and the next steps for this experiment pipeline.
AMC Networks Experiments Faster on the Server SideOptimizely
Speeding up innovation only matters if it helps you drive positive outcomes. At AMC, experimentation enables the product and platform teams to challenge their assumptions, maximize impact, and evaluate ideas as painted door tests before investing in significant development. A commitment to test everything across 9 platforms fueled their search for the most scalable solution.
In this session, you'll learn how to:
Leverage server-side testing to experiment quickly
Scale across web, mobile, and OTT applications
Determine when client-side testing is more efficient
Overcoming the Challenges of Experimentation on a Service Oriented ArchitectureOptimizely
Growing from an early stage startup to a national leader in financial literacy is no small feat, and there are a ton of lessons that we have learned at Greenlight as we have grown. Long gone are the days where we would ship something and cross our fingers hoping that it makes some kind of impact on our customers. Now we’re in a world where we can learn ahead of time how much impact a feature will have on the business, before we even launch! In today’s conversation, we’ll discuss how we use Optimizely’s feature flags in our microservice architecture using Optimizely Agent while keeping user IDs and context synchronized.
This session will cover:
How we set up Optimizely Agent and use it in a kubernetes deployment
How we created a user-aliasing service
How we access Optimizely both on the frontend and in the backend services.
How to build a full stack feature
How to manage the rollout using Optimizely’s feature flags
How The Zebra Utilized Feature Experiments To Increase Carrier Card Engagemen...Optimizely
A/B testing is an essential element in any product managers playbook. However having the freedom and flexibility to customize testing based on what the data is saying often requires a lot of time and effort, particularly when it comes to engineering resources. Optimizely offers a flexible approach to experimentation through the use of feature testing, which provides more customization options without the additional development effort typically required to implement these feature optimizations. Megan Bubley, a Senior Product Manager at The Zebra, will share her experience working with Optimizely’s feature tests to create a results page where users can compare multiple auto insurance options driven by actual user needs, as well as her experience customizing the experience based on device platform.
Kick Your Assumptions: How Scholl's Test-Everything Culture Drives RevenueOptimizely
Amy Vetter, Consumer Experience Manager, Direct To Consumer, Europe, will walk you through some of the tests that she and her team run across the Scholl brand. Amy will highlight surprise learnings and how to remove the fear of failing. The team is empowered to test everything possible that will allow the customer to get the best experience and also support the brand’s goal for more revenue and customer data.
At Charles Schwab, they have a mantra of viewing the world through their client’s eyes. When it comes to building digital experiences and running experiments, winning isn’t just about moving metrics, it’s also about improving customer experience. Sara Tresch, SVP of Digital Services at Schwab will be discussing how Schwab designs products and experiments with a client-first mindset.
Shipping to Learn and Accelerate Growth with GitHubOptimizely
Will 2020 mark the shift to a remote-first world in the long run? For GitHub, a distributed workforce is nothing new. Join Sha Ma, VP of Engineering, and Gregory Ceccarelli, Director of Data Science, to learn how they built and scaled a successful experimentation program. They'll share their experience implementing Optimizely across timezones, a remote workforce, and a new business model.
In this session, you'll learn how to:
Optimize UX for a freemium business model
Use data to deliver customer-centered products
Scale experimentation and accelerate growth
In this session, you will learn: how to embed feature flagging sitewide to deliver safer, faster releases, best practices for implementing feature flags in a services-oriented architecture, and the latest enhancements you need to help your team recover faster when ship happens.
Newly appointed Optimizely CTO, Lawrence Bruhmuller, will kick off Developer Summit discussing the new normals in software development. After decades of leading and scaling engineering teams for high growth startups and large tech companies, Lawrence has seen the same problems crop up repeatedly for technical teams. There is a new way of delivering software that makes it possible to move fast and get it right. That new way is Progressive Delivery & Experimentation. When Progressive Delivery & Experimentation are used together, you have an efficient system for validating both quality and customer engagement across your development lifecycle. Lawrence will discuss the key principles driving software development innovation, how our engineering team puts this into practice, and the success he’s seen at other companies.
Practical Use Case: How Dosh Uses Feature Experiments To Accelerate Mobile De...Optimizely
Engineering organizations at companies know to anticipate bugs when they are about to launch a new product but, what tools can they use to reduce the blast radius and mitigate potential risks? Now, companies are thinking about preventative methods and safeguards they can put in place to make sure they deliver frictionless experiences to their customers with measurable results. In this session, you'll learn how to use feature flags and experiments across your stack (including mobile apps) to safely release meaningful features to your customers.
Using Empathy to Build Custom Solutions at ScaleOptimizely
Segment supports a huge ecosystem of partners and platforms, but there are always requests for more customizable options. What if, instead of answering each custom request, we empower customers and partners to build exactly what they’re looking for? Join Product Manager Andy Yeo as he discusses the ideas, conversations, testing, and validation that brought their latest product release—Functions—to life.
When you attend this webinar, you will:
- Learn how product teams go from customer feedback to shipping features
- Walk away with tactics for testing and iterating to launch features that solve customer needs
- Hear an exclusive preview of an upcoming product launch at Segment
Targeted Rollouts: How to Release Features to Multiple AudiencesOptimizely
Targeted rollouts makes releasing features safer by providing the ability to gradually roll out a feature to multiple audiences and environments with different rollout percentages and different configuration settings. This offers more flexible ways to release features including the ability to target rollouts by audience attributes including geography and pricing tiers. In this session, you’ll learn how to use targeted rollouts in Optimizely Full Stack with practical use cases.
Deploying Fearlessly in a Continuous WorldOptimizely
In this session,
- Learn about the latest software development best practices
- How to strategically and gradually rollout features to customers in production and reduce risk
- How to use of feature flags to ship code quickly and safely
- Best practices to align flags into a cohesive feature flagging system.
LF Energy Webinar: Electrical Grid Modelling and Simulation Through PowSyBl -...DanBrown980551
Do you want to learn how to model and simulate an electrical network from scratch in under an hour?
Then welcome to this PowSyBl workshop, hosted by Rte, the French Transmission System Operator (TSO)!
During the webinar, you will discover the PowSyBl ecosystem as well as handle and study an electrical network through an interactive Python notebook.
PowSyBl is an open source project hosted by LF Energy, which offers a comprehensive set of features for electrical grid modelling and simulation. Among other advanced features, PowSyBl provides:
- A fully editable and extendable library for grid component modelling;
- Visualization tools to display your network;
- Grid simulation tools, such as power flows, security analyses (with or without remedial actions) and sensitivity analyses;
The framework is mostly written in Java, with a Python binding so that Python developers can access PowSyBl functionalities as well.
What you will learn during the webinar:
- For beginners: discover PowSyBl's functionalities through a quick general presentation and the notebook, without needing any expert coding skills;
- For advanced developers: master the skills to efficiently apply PowSyBl functionalities to your real-world scenarios.
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
Builder.ai Founder Sachin Dev Duggal's Strategic Approach to Create an Innova...Ramesh Iyer
In today's fast-changing business world, Companies that adapt and embrace new ideas often need help to keep up with the competition. However, fostering a culture of innovation takes much work. It takes vision, leadership and willingness to take risks in the right proportion. Sachin Dev Duggal, co-founder of Builder.ai, has perfected the art of this balance, creating a company culture where creativity and growth are nurtured at each stage.
DevOps and Testing slides at DASA ConnectKari Kakkonen
My and Rik Marselis slides at 30.5.2024 DASA Connect conference. We discuss about what is testing, then what is agile testing and finally what is Testing in DevOps. Finally we had lovely workshop with the participants trying to find out different ways to think about quality and testing in different parts of the DevOps infinity loop.
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.
PHP Frameworks: I want to break free (IPC Berlin 2024)Ralf Eggert
In this presentation, we examine the challenges and limitations of relying too heavily on PHP frameworks in web development. We discuss the history of PHP and its frameworks to understand how this dependence has evolved. The focus will be on providing concrete tips and strategies to reduce reliance on these frameworks, based on real-world examples and practical considerations. The goal is to equip developers with the skills and knowledge to create more flexible and future-proof web applications. We'll explore the importance of maintaining autonomy in a rapidly changing tech landscape and how to make informed decisions in PHP development.
This talk is aimed at encouraging a more independent approach to using PHP frameworks, moving towards a more flexible and future-proof approach to PHP development.
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
Epistemic Interaction - tuning interfaces to provide information for AI supportAlan Dix
Paper presented at SYNERGY workshop at AVI 2024, Genoa, Italy. 3rd June 2024
https://alandix.com/academic/papers/synergy2024-epistemic/
As machine learning integrates deeper into human-computer interactions, the concept of epistemic interaction emerges, aiming to refine these interactions to enhance system adaptability. This approach encourages minor, intentional adjustments in user behaviour to enrich the data available for system learning. This paper introduces epistemic interaction within the context of human-system communication, illustrating how deliberate interaction design can improve system understanding and adaptation. Through concrete examples, we demonstrate the potential of epistemic interaction to significantly advance human-computer interaction by leveraging intuitive human communication strategies to inform system design and functionality, offering a novel pathway for enriching user-system engagements.
"Impact of front-end architecture on development cost", Viktor TurskyiFwdays
I have heard many times that architecture is not important for the front-end. Also, many times I have seen how developers implement features on the front-end just following the standard rules for a framework and think that this is enough to successfully launch the project, and then the project fails. How to prevent this and what approach to choose? I have launched dozens of complex projects and during the talk we will analyze which approaches have worked for me and which have not.
Kubernetes & AI - Beauty and the Beast !?! @KCD Istanbul 2024Tobias Schneck
As AI technology is pushing into IT I was wondering myself, as an “infrastructure container kubernetes guy”, how get this fancy AI technology get managed from an infrastructure operational view? Is it possible to apply our lovely cloud native principals as well? What benefit’s both technologies could bring to each other?
Let me take this questions and provide you a short journey through existing deployment models and use cases for AI software. On practical examples, we discuss what cloud/on-premise strategy we may need for applying it to our own infrastructure to get it to work from an enterprise perspective. I want to give an overview about infrastructure requirements and technologies, what could be beneficial or limiting your AI use cases in an enterprise environment. An interactive Demo will give you some insides, what approaches I got already working for real.
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/
3. How to Scale Your
Experimentation Program
WEBINAR
Mike Loveridge
Intuit
The playbook Intuit uses to increase its experimentation
velocity — even when they face traffic limitations.
Wes McCabe
Optimizely
5. Digital Experience Optimization:
Digital Products, Commerce & Campaigns
Up to 5X Increase in Yield:
Revenue, Share of wallet, Funnel conversion,
Risk mitigation, Ops efficiency
Partner of Choice:
Work with leading global enterprises & “digital
disruptors” including 26 of F100
OUR COMPANY
Digital Experimentation Platform:
Next gen “Test and Learn” System
Replaces Digital Guesswork:
with Evidence-based optimization
Speeds Innovation & Optimization:
Single platform for marketing & product teams
Best in class stats & machine learning
Consumer grade usability
Enterprise program management & prof. services
OUR SOLUTION
6. “Our success is a function
of how many experiments
we do per year, per month,
per week, per day.”
“Instead of saying ‘I have an
idea,’ what if you said
‘I have a new hypothesis,
let’s go test it.’
“Our company culture
encourages
experimentation and
free flow of ideas.”
“One of the things I’m
most proud of, and I think
what is the key to our
success, is this testing
framework we’ve built.”
Experimentation is the
Next Great Business
Transformation
Jeff Bezos Larry Page
Mark Zuckerberg Satya Nadella
The Surprising
Power of Online
Experiments
7. 10x more experiments
Consumer-grade usability
Open data integration
Maximum yield of business value
UX and feature-level experiments
and personalization at every digital
touch point
Enterprise-wide
management & governance
Captures, governs and shares
ideation, analyses & results
Optimizely X Unlocks the Experimentation Best Practices
of the World’s Greatest Digital Companies
World’s most trusted outcomes
BestinclassStatsEngine
FasttimetoresultsviaML
Accelerates digital innovation
Speeds devops&deployment
De-riskscontinuous feature delivery
Ensuressuccessofnewfeatures
Unifying flagging & experiments
enablescontrolledtestingof new
features while maintaining high
performance
Ideate
Manage
StoreGovern
Analyze
Share
Open Data
Integration
Security &
compliance
Stats
Engine
Stats
Accelerator
Consumer-
grade
usability
APIs &
Developer
Tools
Feature
Flags
Open source
SDKs
X-Channel
Full Stack
Experimentation
Personali-
zation
Recommen-
dations
Web
Experimentation
PRODUCTS
COMMERCE
CAMPAIGNS
8. We’re Proud to Work With
Great Global Enterprises
21 of the Fortune 100 have Chosen Optimizely to Drive Their Digital Experience
9. B U S I N E S S V A L U E
VELOCITY/VOLUME
LEVEL 1
Executional
Start
LEVEL 2
Foundational
Growth
LEVEL 3
Cross-functional
Advancement
LEVEL 4
Operational
Excellence
LEVEL 5
Culture of
Experimentation
Our Products and Services Take
You on Your Experimentation Journey
16. 1. More learnings
• More tests*
• Testing in more places
• Testing through additional mediums (usability, surveys, etc.)
• Efficient designs (MVT)
2. Reduced time to launch = cost savings
3. Timely analysis & recommendations = quicker time to market
4. Quicker implementation of winners = cost savings
*Without sacrificing quality
How can velocity be defined?
17. 1. Bottom line impact
2. Number of tests
3. Development time by t-shirt size (S, M, L, XL)
4. Analysis & recommendation time
5. Implementation time
6. Error rate
7. Win rate
8. Number of learnings
9. Test quality score
Supporting KPIs
18. “If one day the speed kills me, do not cry
because I was smiling.”
Paul Walker (1973 – 2013)
27. Everything you need to track & schedule employee time
Time tracking and scheduling that’s accurate to the second
Time tracking and scheduling that’s full-featured & easy to use
Time tracking that’s full-featured & easy to use
Baseline
+3.7%
+26.9%
+9.2%
Homepage Test Results
28. More Homepage Testing Results - AWARDS
● Control: Time tracking with over 8,000 five-star reviews
● T1: 250 million timesheets processed and counting
● T2: 246,897,755 timesheets processed and counting
● T3: Time tracking with 500,000 active users and counting
● T4: PC Magazine Editors’ Choice “Best Time Tracking Software”
● T5: G2 Crowd Winner for “Best Time Tracking Software”
● T6: TSheets, the highest-rated time tracking app on top review hubs
29. ● Control: Time tracking with over 8,000 five-star reviews
● T1: 250 million timesheets processed and counting (+5.5%)
● T2: 246,897,755 timesheets processed and counting
● T3: Time tracking with 500,000 active users and counting (+8%)
● T4: PC Magazine Editors’ Choice “Best Time Tracking Software”
● T5: G2 Crowd Winner for “Best Time Tracking Software”
● T6: TSheets, the highest-rated time tracking app on top review hubs (+6.4%)
More Homepage Testing Results - AWARDS
33. Don’t be afraid to run tests when a lower sample size makes it difficult to
imagine getting statistical significance. You will still learn things!
We test to generate learnings.
We also test to obtain statistical significance.
34.
35. • Usability
• Online surveys
• A/B tests with rich data sets
• Heatmaps, clickmaps, scrollmaps, confetti reports
• Video recordings
• Track all clickable items the page being tested
• Multiple KPIs… do they all align?
• Have a strong hypothesis
• Does the data you get back make sense in explaining the hypothesis?
• Why or why not?
• Alternative statistical models
• Patience. Just let it run… for a LONG time.
• Be conservative with mission-critical pages
• Test higher impact changes
Ways to experiment in low traffic situations
36. Homepage Pricing
Signup
Buy Now
Signup
Complete
Signup
Free Trial
Control
Sign up for a 2-week free trial. Then, buy it!
KPI 1: Free trial conversion rate (How many start a trial)
KPI 2: Activation rate (How many buy after the trial)
Treatment
Sign up for a 2-week free trial. Then, buy it! OR… Just buy it right now and get 50% off for the first 3 months.
KPI 1: Free trial conversion rate (How many start a trial)
KPI 2: Activation rate (How many buy right now or buy after the trial)
KPI 3: Revenue per user
KPI 4: Cancellation rate
37. Test Results (WEB.039.18 - Homepage Buy Now) TEST DATES: JULY 17 - AUG 1, 2018
LEARNINGS
● FREE TRIAL SIGNUPS DECREASED BY 30%
● WHEN MOBILE WAS REMOVED, THE DECREASE WAS 10%
● USERS ARE CHOOSING BUY NOW WITH 50/50 INTENT. SIGNIFICANT FALLOUT IN THE BILLING FUNNEL.
● LARGE FALLOUT ON THE PRICING PAGE, DESPITE HUGE GAINS IN ENGAGEMENT
● ACTIVATIONS WERE FLAT
Control Treatment
RESULTS
ACTIVATIONS WERE FLAT
44. • Dedicated (“Center of Excellence” executes all tests)
• Specialists are efficient
• Head of Experimentation has more control
• Dispersed (Each product team does their own testing)
• Product owners OWN performance
• Hybrid (“Center of Excellence” teaches a man to fish)
Dedicated vs Dispersed Teams
45. • Repeatable, written process
• Executive sponsorship
• Having a PM is nice… especially for complex, cross functional tests
Key Elements for ANY Model