This is from a very long time ago.
Shared as part of this post: https://medium.com/@talraviv/tearing-down-the-teardown-incl-personal-example-2d8c5ce2dce6
Best Practice Webinar: Effective A/B Tests [Oct. 18, 2012]Fishbowl Marketing
This webinar discusses how to effectively use A/B split testing to improve email marketing campaigns. It covers the basics of A/B split testing, including how to choose test variables, measure results, and apply learnings. Common things to test are subject lines, calls to action, and creative elements. The presenter provides examples of effective tests and recommendations for analyzing results to optimize future campaigns. Questions from attendees are taken at the end.
Creating The Most Effective Facebook Content StrategiesSyncapse
The document analyzes Facebook posting strategies and engagement rates. Key findings include:
- Facebook engagement rates have declined to an average of 0.79 engagements per thousand.
- Time of day and day of week do not significantly impact engagement but relevance and frequency do.
- Engagement declines as fan base grows, but the optimal posting frequency is 6-8 posts per week.
- Posts with under 11 words and a clear call to action perform best. Experimenting with content is recommended to find the most effective strategies.
This document discusses strategies for measuring social media success. It emphasizes the importance of (1) planning measurable executions, (2) ensuring measurements influence strategies, and (3) reporting on successes. It provides tips for setting goals around reach, reaction, and response. It also discusses qualitative and comparative measurement techniques as well as integrating offline and online measurement.
This document discusses strategies for measuring social media success. It emphasizes the importance of (1) planning measurable executions, (2) ensuring measurements influence execution, and (3) reporting on success. It provides tips for setting goals based on reach, reaction, and response metrics. It also discusses qualitative and comparative measurement techniques as well as integrating offline and online measurement.
This document provides guidance on how to grow a YouTube channel from zero to 100,000 subscribers. It recommends researching topics by brainstorming video ideas, checking trends and competitors, and using keyword tools to find topics with search volume but low competition. Videos should be 2-15 minutes, follow a script structure of introducing the topic and benefits, providing a how-to, and calling to action. Videos should be edited quickly and exported at a quality suitable for social sharing to drive views. The goal is to rank videos on the first page of YouTube to access free, targeted traffic.
This is from a very long time ago.
Shared as part of this post: https://medium.com/@talraviv/tearing-down-the-teardown-incl-personal-example-2d8c5ce2dce6
Best Practice Webinar: Effective A/B Tests [Oct. 18, 2012]Fishbowl Marketing
This webinar discusses how to effectively use A/B split testing to improve email marketing campaigns. It covers the basics of A/B split testing, including how to choose test variables, measure results, and apply learnings. Common things to test are subject lines, calls to action, and creative elements. The presenter provides examples of effective tests and recommendations for analyzing results to optimize future campaigns. Questions from attendees are taken at the end.
Creating The Most Effective Facebook Content StrategiesSyncapse
The document analyzes Facebook posting strategies and engagement rates. Key findings include:
- Facebook engagement rates have declined to an average of 0.79 engagements per thousand.
- Time of day and day of week do not significantly impact engagement but relevance and frequency do.
- Engagement declines as fan base grows, but the optimal posting frequency is 6-8 posts per week.
- Posts with under 11 words and a clear call to action perform best. Experimenting with content is recommended to find the most effective strategies.
This document discusses strategies for measuring social media success. It emphasizes the importance of (1) planning measurable executions, (2) ensuring measurements influence strategies, and (3) reporting on successes. It provides tips for setting goals around reach, reaction, and response. It also discusses qualitative and comparative measurement techniques as well as integrating offline and online measurement.
This document discusses strategies for measuring social media success. It emphasizes the importance of (1) planning measurable executions, (2) ensuring measurements influence execution, and (3) reporting on success. It provides tips for setting goals based on reach, reaction, and response metrics. It also discusses qualitative and comparative measurement techniques as well as integrating offline and online measurement.
This document provides guidance on how to grow a YouTube channel from zero to 100,000 subscribers. It recommends researching topics by brainstorming video ideas, checking trends and competitors, and using keyword tools to find topics with search volume but low competition. Videos should be 2-15 minutes, follow a script structure of introducing the topic and benefits, providing a how-to, and calling to action. Videos should be edited quickly and exported at a quality suitable for social sharing to drive views. The goal is to rank videos on the first page of YouTube to access free, targeted traffic.
Data analysis provides insights into audience preferences that can help create successful TV shows and make good business decisions. For example, Game of Thrones analyzed audience demand for fantasy genres as well as reactions to sample episodes. Both Amazon and Netflix released sample episodes to collect data on viewer behaviors like pausing and rewatching. Netflix was more successful because in addition to data analysis, it allowed intuition and risk-taking in decision making. While data provides insights, human judgment is still needed to solve problems and make effective choices.
The document discusses key aspects of building an innovative product. It outlines that innovation requires (1) focusing on problems you care about, (2) generating many ideas through close user understanding and experimentation, (3) rapidly validating ideas with analytics and user testing, (4) enabling fast and cheap experimentation through tools like DevOps, and (5) empowering a small team of people who are passionate about solving the problem. Digital solutions can now be built and distributed at low cost by small teams to reach global users, making innovation a powerful approach.
The document discusses key aspects of building an innovative product. It outlines 5 areas to focus on: 1) identifying a problem you care about solving, 2) generating quality ideas through close user understanding, experimentation, and open source leverage, 3) validating ideas through analytics and user testing, 4) enabling rapid and cheap experimentation through infrastructure, and 5) empowering people who are passionate about solving the problem through autonomy and small, self-sufficient teams. Innovation requires an iterative process of misses informing progress toward a solution, not measuring each step as a success or failure.
The document summarizes the journey of four engineers who went through Stanford's Lean LaunchPad class to develop an MVP for a startup idea. Over nine weeks, they tested several hypotheses through customer interviews but were unable to find product-market fit. Their final idea involved personalized recipe recommendations but they determined it was not a viable business due to high customer acquisition costs and an unproven revenue model. They learned important lessons about customer discovery, competition, and the importance of prioritizing revenue.
The goal of a recommender system is to predict the degree to which a user will like or dislike a set of items, such as movies or TV shows.
Most recommender systems use a combination of different approaches, but broadly speaking there are three different methods that can be used: Content analysis, Social recommendations and Collaborative filtering.
How to quickly get more views on youtubeJibranAzhar
Discover unique and effective techniques to increase Youtube views of your channel quickly.
Find what it takes to take your upload to the most liked video on youtube and millions of views that bring more money for you and grow your channel faster than the rest.
UX Field Research Toolkit - A Workshop at Big Design - 2017Kelly Moran
Workshop Description:
Looking for practice with in-depth user-experience research methods? You may have read about techniques in the past, but methods must be practiced to be understood. projekt202 has been employing these methodologies with great success since 2003. This workshop is your opportunity to try these tools in a structured environment without pressing deadlines or looming stakeholders. Our experienced research and design professionals will share industry tips and tricks that will help you put theory to practice.
The workshop will be hands-on and interactive; instructional elements will be reinforced with stories of impact to real projects. We will not only cover methods of gathering user data, but the importance of spending time internalizing and analyzing the data through activities such as affinity diagramming. Participants will gain exposure to these important practices in a low-pressure atmosphere and with the guidance of experienced professionals.
DON WILCOX - BEST PRACTICES - DIGITAL PLATFORMS TO ENGAGE NEW AUDIENCESHilary Ip
The document discusses strategies for engaging audiences across multiple platforms. It recommends taking a multiplatform approach to content, distribution, and marketing. Key points include distributing content on digital platforms to reach niche audiences, delighting viewers wherever they are found, and using different platforms' capabilities to expand creative possibilities. Lighting up additional screens can drive revenue through underwriters and donations. The document also provides best practices for YouTube, such as getting straight to the point, maintaining eye contact, using consistent hosts, publishing regularly, knowing your audience, emulating successful formats, being authentic and conversational, collaborating, and experimenting.
The document provides statistics about YouTube usage and strategies for creating successful YouTube videos. Some key points:
- Over 1.3 billion people use YouTube daily and almost 5 billion videos are watched every day.
- The ideal video length is as long as needed to fully explain the content, no longer.
- Videos should have a clear call to action and be promoted across social media platforms.
- Titles and descriptions should include keywords relevant to the target audience. Testing different versions can help optimize performance.
- SEO strategies like embedding videos on other sites can help drive more views. Researching audience interests is also important.
Four Steps to Sure-Fire Live Streaming SuccessLynn Teatro
This document outlines 4 steps for successful live streaming: 1) Choose the platform and event based on your audience; 2) Plan a detailed promotion strategy; 3) Rehearse to avoid technical difficulties; 4) Monitor interactions and ensure everything runs smoothly. It emphasizes that live video is imperfect but engaging, and advises having fun with an iterative process of evaluating and improving streams.
The consultancy offers co-creation services to help businesses better understand their customers and markets. They have a global network of specialists who use online communities and crowdsourcing to gather feedback, test new ideas, and shape products and communications. The consultancy's approach aims to make businesses a better fit for their customers by directly involving consumers in the development process.
At Your Service: What Netflix and Assessments Have In Common | SoGoSurveySogolytics
The most important data deserves the most attention, right? Whether you're scoring a quiz with weighted items and categories or prioritizing some behavioral data points over others, the algorithms behind assessment drive deeper understanding of valuable takeaways and implications.
This deck was prepared for educational purpose and has no association with Netflix in anyway.
In case you want to know more, visit playflix.carrd.co or reach out at vagadro@gmail.com
Within 5 days, the document describes how to:
1. Apply the Design Sprint methodology to quickly test ideas and identify which to pursue, 2. Use storyboarding and paper prototyping to make ideas more concrete, 3. Obtain feedback from real users on a digital prototype to determine if the initial idea is good and worth developing further. The process enables identifying the right solution to a problem with limited resources in a short timeframe.
Cause We Care - Design Thinking Project Final ReportMatthew Stuckings
This is the final report for my group Design Thinking project. It shows qualitative and quantitative data and their tests for our hypotheses, design tools and MVP.
Team: Em, Kris, Marc, Adrian, Goran and Me
Enjoy.
Matt
Chuck Liu Design Research Lead KISSmetrics @chuckjliu cliu@kissmetrics.com
Market research helps you make decisions.
3 Essential Mantras of Market Research 1
Goal: Make better decisions, faster.
Get things done in days, not weeks or months.
Market research priorities are different depending on what stage your business is at
There are many FREE resources out there.
Google Trends: Measure market potential and interest AVINASH KAUSHIK HTTP://KISS.LY/LEANAC
Talking to experts: Get the detailed scoop of workflows and processes
1. Hypothesis- driven Have an idea to prove or disprove
2. Short and targeted 5 days, 2 weeks max
3 Ways for Early Stage Businesses to do Lean Market Research 2
1. Survey + Social Distribution Cheap (or free), but requires more work on your part
1. Make a screener or survey 2. Tweet/share it out 3. Analyze
Try the good ole’ “asking for a friend” (except it’s you really asking)
Whether you’re actually asking for a friend or not, this actually works be er, especially if you tag a potential competitor
1. Ask a question on Quora 2. Revitalize an old relevant thread with a new comment 3. Ask people to answer an existing question
2. AdWords Easy setup, variable expenses
You Pay for Clicks, Which Is Pre y Realistic
AdWords Keyword Planner does the work for you in volume and interest
1. Practice your pitch 2. Limited character count = concise messaging 3. Bad ideas = no problem
3. Amazon Mechanical Turk Disclaimer: I haven’t tried yet, but I want to
Mechanical Turk Plan: Simple • Design a test • Distribute a test • Analyze the data
3 Strategies for Existing Businesses/ Enterprises to Getting Faster Research Done 3
1. In-App Surveys Contextual, relevant, and dismissible
Existing workflow and pain points • Nudge your customers with in-app surveys • Open-ended
In-App Survey Pros and Cons Pros • Low cost • Low effort • Can be turned on/off as you please to measure activities over time • Quick responses based on targeting technique Cons • Limits demographic to your existing users • Can potentially annoy your users
2. Experience Sampling Uncover user needs and behaviors
Pros • Highlights behaviors, moods, stress levels • Gives context to these behaviors depending on how it was administered (same time every day, multiple times a day, etc.) • Measures differences over time Cons • Risk of participants dropping off or stopping participation • Incentive needed to lure in • Not good for checking if someone is doing a task repetitively Experience Sampling Pros and Cons
3. Persona Advisory Board
Quick Review: Personas (thanks to Buffer for these images!
Pros • Highly contextual information about day in the life, workflow, and process • Visibility into which tools are used for tasks • Deeper relationship and trust built with customer Cons • High amount of effort on your part • Recruiting can be hit or miss depending on your relationship with customers / th
This document discusses bloggers using Google Helpouts to provide one-on-one video consultations and earn income. It provides tips for setting up a successful Helpouts profile, including creating an intro video, listing qualifications, setting session lengths and prices, and how to interact with clients before, during and after sessions. The benefits of Helpouts for bloggers are promoting their brand and connecting directly with readers, while the challenges include marketing and scheduling. Providers are encouraged to focus on listening to clients and following up to build credibility and increase the chances of return clients.
Some tips for successful crowdsourcing that I learned during some crowdsourcing projects including the making of a movie,
Useful for everyone who considers crowdsourcing in his/her organisation.
The Only Metric That Matters by a Partner at Greylock PartnersProduct School
Product Management Event Held at the Product Conference in San Francisco.
Josh discussed how to figure out what products really matter and what metrics you can use to define how to do product development. The main goal for any product manager is to create a product that people wan to use. To get there you need to know what metric to follow. He revealed what the only metric that matters is.
Christian Gammill shares lessons learned from his experience in customer development and starting startups. He emphasizes establishing testable hypotheses, getting fast feedback through prototypes and minimum viable products, and iterating quickly. Some key points he discusses include focusing early-stage objectives on exploratory discovery and concept validation rather than premature scaling, conducting in-depth customer interviews to understand problems and potential solutions, and choosing early product features that drive usage, viral growth, and monetization to test your business model assumptions.
AI 101: An Introduction to the Basics and Impact of Artificial IntelligenceIndexBug
Imagine a world where machines not only perform tasks but also learn, adapt, and make decisions. This is the promise of Artificial Intelligence (AI), a technology that's not just enhancing our lives but revolutionizing entire industries.
TrustArc Webinar - 2024 Global Privacy SurveyTrustArc
How does your privacy program stack up against your peers? What challenges are privacy teams tackling and prioritizing in 2024?
In the fifth annual Global Privacy Benchmarks Survey, we asked over 1,800 global privacy professionals and business executives to share their perspectives on the current state of privacy inside and outside of their organizations. This year’s report focused on emerging areas of importance for privacy and compliance professionals, including considerations and implications of Artificial Intelligence (AI) technologies, building brand trust, and different approaches for achieving higher privacy competence scores.
See how organizational priorities and strategic approaches to data security and privacy are evolving around the globe.
This webinar will review:
- The top 10 privacy insights from the fifth annual Global Privacy Benchmarks Survey
- The top challenges for privacy leaders, practitioners, and organizations in 2024
- Key themes to consider in developing and maintaining your privacy program
Data analysis provides insights into audience preferences that can help create successful TV shows and make good business decisions. For example, Game of Thrones analyzed audience demand for fantasy genres as well as reactions to sample episodes. Both Amazon and Netflix released sample episodes to collect data on viewer behaviors like pausing and rewatching. Netflix was more successful because in addition to data analysis, it allowed intuition and risk-taking in decision making. While data provides insights, human judgment is still needed to solve problems and make effective choices.
The document discusses key aspects of building an innovative product. It outlines that innovation requires (1) focusing on problems you care about, (2) generating many ideas through close user understanding and experimentation, (3) rapidly validating ideas with analytics and user testing, (4) enabling fast and cheap experimentation through tools like DevOps, and (5) empowering a small team of people who are passionate about solving the problem. Digital solutions can now be built and distributed at low cost by small teams to reach global users, making innovation a powerful approach.
The document discusses key aspects of building an innovative product. It outlines 5 areas to focus on: 1) identifying a problem you care about solving, 2) generating quality ideas through close user understanding, experimentation, and open source leverage, 3) validating ideas through analytics and user testing, 4) enabling rapid and cheap experimentation through infrastructure, and 5) empowering people who are passionate about solving the problem through autonomy and small, self-sufficient teams. Innovation requires an iterative process of misses informing progress toward a solution, not measuring each step as a success or failure.
The document summarizes the journey of four engineers who went through Stanford's Lean LaunchPad class to develop an MVP for a startup idea. Over nine weeks, they tested several hypotheses through customer interviews but were unable to find product-market fit. Their final idea involved personalized recipe recommendations but they determined it was not a viable business due to high customer acquisition costs and an unproven revenue model. They learned important lessons about customer discovery, competition, and the importance of prioritizing revenue.
The goal of a recommender system is to predict the degree to which a user will like or dislike a set of items, such as movies or TV shows.
Most recommender systems use a combination of different approaches, but broadly speaking there are three different methods that can be used: Content analysis, Social recommendations and Collaborative filtering.
How to quickly get more views on youtubeJibranAzhar
Discover unique and effective techniques to increase Youtube views of your channel quickly.
Find what it takes to take your upload to the most liked video on youtube and millions of views that bring more money for you and grow your channel faster than the rest.
UX Field Research Toolkit - A Workshop at Big Design - 2017Kelly Moran
Workshop Description:
Looking for practice with in-depth user-experience research methods? You may have read about techniques in the past, but methods must be practiced to be understood. projekt202 has been employing these methodologies with great success since 2003. This workshop is your opportunity to try these tools in a structured environment without pressing deadlines or looming stakeholders. Our experienced research and design professionals will share industry tips and tricks that will help you put theory to practice.
The workshop will be hands-on and interactive; instructional elements will be reinforced with stories of impact to real projects. We will not only cover methods of gathering user data, but the importance of spending time internalizing and analyzing the data through activities such as affinity diagramming. Participants will gain exposure to these important practices in a low-pressure atmosphere and with the guidance of experienced professionals.
DON WILCOX - BEST PRACTICES - DIGITAL PLATFORMS TO ENGAGE NEW AUDIENCESHilary Ip
The document discusses strategies for engaging audiences across multiple platforms. It recommends taking a multiplatform approach to content, distribution, and marketing. Key points include distributing content on digital platforms to reach niche audiences, delighting viewers wherever they are found, and using different platforms' capabilities to expand creative possibilities. Lighting up additional screens can drive revenue through underwriters and donations. The document also provides best practices for YouTube, such as getting straight to the point, maintaining eye contact, using consistent hosts, publishing regularly, knowing your audience, emulating successful formats, being authentic and conversational, collaborating, and experimenting.
The document provides statistics about YouTube usage and strategies for creating successful YouTube videos. Some key points:
- Over 1.3 billion people use YouTube daily and almost 5 billion videos are watched every day.
- The ideal video length is as long as needed to fully explain the content, no longer.
- Videos should have a clear call to action and be promoted across social media platforms.
- Titles and descriptions should include keywords relevant to the target audience. Testing different versions can help optimize performance.
- SEO strategies like embedding videos on other sites can help drive more views. Researching audience interests is also important.
Four Steps to Sure-Fire Live Streaming SuccessLynn Teatro
This document outlines 4 steps for successful live streaming: 1) Choose the platform and event based on your audience; 2) Plan a detailed promotion strategy; 3) Rehearse to avoid technical difficulties; 4) Monitor interactions and ensure everything runs smoothly. It emphasizes that live video is imperfect but engaging, and advises having fun with an iterative process of evaluating and improving streams.
The consultancy offers co-creation services to help businesses better understand their customers and markets. They have a global network of specialists who use online communities and crowdsourcing to gather feedback, test new ideas, and shape products and communications. The consultancy's approach aims to make businesses a better fit for their customers by directly involving consumers in the development process.
At Your Service: What Netflix and Assessments Have In Common | SoGoSurveySogolytics
The most important data deserves the most attention, right? Whether you're scoring a quiz with weighted items and categories or prioritizing some behavioral data points over others, the algorithms behind assessment drive deeper understanding of valuable takeaways and implications.
This deck was prepared for educational purpose and has no association with Netflix in anyway.
In case you want to know more, visit playflix.carrd.co or reach out at vagadro@gmail.com
Within 5 days, the document describes how to:
1. Apply the Design Sprint methodology to quickly test ideas and identify which to pursue, 2. Use storyboarding and paper prototyping to make ideas more concrete, 3. Obtain feedback from real users on a digital prototype to determine if the initial idea is good and worth developing further. The process enables identifying the right solution to a problem with limited resources in a short timeframe.
Cause We Care - Design Thinking Project Final ReportMatthew Stuckings
This is the final report for my group Design Thinking project. It shows qualitative and quantitative data and their tests for our hypotheses, design tools and MVP.
Team: Em, Kris, Marc, Adrian, Goran and Me
Enjoy.
Matt
Chuck Liu Design Research Lead KISSmetrics @chuckjliu cliu@kissmetrics.com
Market research helps you make decisions.
3 Essential Mantras of Market Research 1
Goal: Make better decisions, faster.
Get things done in days, not weeks or months.
Market research priorities are different depending on what stage your business is at
There are many FREE resources out there.
Google Trends: Measure market potential and interest AVINASH KAUSHIK HTTP://KISS.LY/LEANAC
Talking to experts: Get the detailed scoop of workflows and processes
1. Hypothesis- driven Have an idea to prove or disprove
2. Short and targeted 5 days, 2 weeks max
3 Ways for Early Stage Businesses to do Lean Market Research 2
1. Survey + Social Distribution Cheap (or free), but requires more work on your part
1. Make a screener or survey 2. Tweet/share it out 3. Analyze
Try the good ole’ “asking for a friend” (except it’s you really asking)
Whether you’re actually asking for a friend or not, this actually works be er, especially if you tag a potential competitor
1. Ask a question on Quora 2. Revitalize an old relevant thread with a new comment 3. Ask people to answer an existing question
2. AdWords Easy setup, variable expenses
You Pay for Clicks, Which Is Pre y Realistic
AdWords Keyword Planner does the work for you in volume and interest
1. Practice your pitch 2. Limited character count = concise messaging 3. Bad ideas = no problem
3. Amazon Mechanical Turk Disclaimer: I haven’t tried yet, but I want to
Mechanical Turk Plan: Simple • Design a test • Distribute a test • Analyze the data
3 Strategies for Existing Businesses/ Enterprises to Getting Faster Research Done 3
1. In-App Surveys Contextual, relevant, and dismissible
Existing workflow and pain points • Nudge your customers with in-app surveys • Open-ended
In-App Survey Pros and Cons Pros • Low cost • Low effort • Can be turned on/off as you please to measure activities over time • Quick responses based on targeting technique Cons • Limits demographic to your existing users • Can potentially annoy your users
2. Experience Sampling Uncover user needs and behaviors
Pros • Highlights behaviors, moods, stress levels • Gives context to these behaviors depending on how it was administered (same time every day, multiple times a day, etc.) • Measures differences over time Cons • Risk of participants dropping off or stopping participation • Incentive needed to lure in • Not good for checking if someone is doing a task repetitively Experience Sampling Pros and Cons
3. Persona Advisory Board
Quick Review: Personas (thanks to Buffer for these images!
Pros • Highly contextual information about day in the life, workflow, and process • Visibility into which tools are used for tasks • Deeper relationship and trust built with customer Cons • High amount of effort on your part • Recruiting can be hit or miss depending on your relationship with customers / th
This document discusses bloggers using Google Helpouts to provide one-on-one video consultations and earn income. It provides tips for setting up a successful Helpouts profile, including creating an intro video, listing qualifications, setting session lengths and prices, and how to interact with clients before, during and after sessions. The benefits of Helpouts for bloggers are promoting their brand and connecting directly with readers, while the challenges include marketing and scheduling. Providers are encouraged to focus on listening to clients and following up to build credibility and increase the chances of return clients.
Some tips for successful crowdsourcing that I learned during some crowdsourcing projects including the making of a movie,
Useful for everyone who considers crowdsourcing in his/her organisation.
The Only Metric That Matters by a Partner at Greylock PartnersProduct School
Product Management Event Held at the Product Conference in San Francisco.
Josh discussed how to figure out what products really matter and what metrics you can use to define how to do product development. The main goal for any product manager is to create a product that people wan to use. To get there you need to know what metric to follow. He revealed what the only metric that matters is.
Christian Gammill shares lessons learned from his experience in customer development and starting startups. He emphasizes establishing testable hypotheses, getting fast feedback through prototypes and minimum viable products, and iterating quickly. Some key points he discusses include focusing early-stage objectives on exploratory discovery and concept validation rather than premature scaling, conducting in-depth customer interviews to understand problems and potential solutions, and choosing early product features that drive usage, viral growth, and monetization to test your business model assumptions.
Similaire à Don't Snooze Yet - A Netflix Original (20)
AI 101: An Introduction to the Basics and Impact of Artificial IntelligenceIndexBug
Imagine a world where machines not only perform tasks but also learn, adapt, and make decisions. This is the promise of Artificial Intelligence (AI), a technology that's not just enhancing our lives but revolutionizing entire industries.
TrustArc Webinar - 2024 Global Privacy SurveyTrustArc
How does your privacy program stack up against your peers? What challenges are privacy teams tackling and prioritizing in 2024?
In the fifth annual Global Privacy Benchmarks Survey, we asked over 1,800 global privacy professionals and business executives to share their perspectives on the current state of privacy inside and outside of their organizations. This year’s report focused on emerging areas of importance for privacy and compliance professionals, including considerations and implications of Artificial Intelligence (AI) technologies, building brand trust, and different approaches for achieving higher privacy competence scores.
See how organizational priorities and strategic approaches to data security and privacy are evolving around the globe.
This webinar will review:
- The top 10 privacy insights from the fifth annual Global Privacy Benchmarks Survey
- The top challenges for privacy leaders, practitioners, and organizations in 2024
- Key themes to consider in developing and maintaining your privacy program
Have you ever been confused by the myriad of choices offered by AWS for hosting a website or an API?
Lambda, Elastic Beanstalk, Lightsail, Amplify, S3 (and more!) can each host websites + APIs. But which one should we choose?
Which one is cheapest? Which one is fastest? Which one will scale to meet our needs?
Join me in this session as we dive into each AWS hosting service to determine which one is best for your scenario and explain why!
Building Production Ready Search Pipelines with Spark and MilvusZilliz
Spark is the widely used ETL tool for processing, indexing and ingesting data to serving stack for search. Milvus is the production-ready open-source vector database. In this talk we will show how to use Spark to process unstructured data to extract vector representations, and push the vectors to Milvus vector database for search serving.
Monitoring and Managing Anomaly Detection on OpenShift.pdfTosin Akinosho
Monitoring and Managing Anomaly Detection on OpenShift
Overview
Dive into the world of anomaly detection on edge devices with our comprehensive hands-on tutorial. This SlideShare presentation will guide you through the entire process, from data collection and model training to edge deployment and real-time monitoring. Perfect for those looking to implement robust anomaly detection systems on resource-constrained IoT/edge devices.
Key Topics Covered
1. Introduction to Anomaly Detection
- Understand the fundamentals of anomaly detection and its importance in identifying unusual behavior or failures in systems.
2. Understanding Edge (IoT)
- Learn about edge computing and IoT, and how they enable real-time data processing and decision-making at the source.
3. What is ArgoCD?
- Discover ArgoCD, a declarative, GitOps continuous delivery tool for Kubernetes, and its role in deploying applications on edge devices.
4. Deployment Using ArgoCD for Edge Devices
- Step-by-step guide on deploying anomaly detection models on edge devices using ArgoCD.
5. Introduction to Apache Kafka and S3
- Explore Apache Kafka for real-time data streaming and Amazon S3 for scalable storage solutions.
6. Viewing Kafka Messages in the Data Lake
- Learn how to view and analyze Kafka messages stored in a data lake for better insights.
7. What is Prometheus?
- Get to know Prometheus, an open-source monitoring and alerting toolkit, and its application in monitoring edge devices.
8. Monitoring Application Metrics with Prometheus
- Detailed instructions on setting up Prometheus to monitor the performance and health of your anomaly detection system.
9. What is Camel K?
- Introduction to Camel K, a lightweight integration framework built on Apache Camel, designed for Kubernetes.
10. Configuring Camel K Integrations for Data Pipelines
- Learn how to configure Camel K for seamless data pipeline integrations in your anomaly detection workflow.
11. What is a Jupyter Notebook?
- Overview of Jupyter Notebooks, an open-source web application for creating and sharing documents with live code, equations, visualizations, and narrative text.
12. Jupyter Notebooks with Code Examples
- Hands-on examples and code snippets in Jupyter Notebooks to help you implement and test anomaly detection models.
How to Interpret Trends in the Kalyan Rajdhani Mix Chart.pdfChart Kalyan
A Mix Chart displays historical data of numbers in a graphical or tabular form. The Kalyan Rajdhani Mix Chart specifically shows the results of a sequence of numbers over different periods.
Fueling AI with Great Data with Airbyte WebinarZilliz
This talk will focus on how to collect data from a variety of sources, leveraging this data for RAG and other GenAI use cases, and finally charting your course to productionalization.
Introduction of Cybersecurity with OSS at Code Europe 2024Hiroshi SHIBATA
I develop the Ruby programming language, RubyGems, and Bundler, which are package managers for Ruby. Today, I will introduce how to enhance the security of your application using open-source software (OSS) examples from Ruby and RubyGems.
The first topic is CVE (Common Vulnerabilities and Exposures). I have published CVEs many times. But what exactly is a CVE? I'll provide a basic understanding of CVEs and explain how to detect and handle vulnerabilities in OSS.
Next, let's discuss package managers. Package managers play a critical role in the OSS ecosystem. I'll explain how to manage library dependencies in your application.
I'll share insights into how the Ruby and RubyGems core team works to keep our ecosystem safe. By the end of this talk, you'll have a better understanding of how to safeguard your code.
Salesforce Integration for Bonterra Impact Management (fka Social Solutions A...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 integration of Salesforce with Bonterra Impact Management.
Interested in deploying an integration with Salesforce for Bonterra Impact Management? Contact us at sales@sidekicksolutionsllc.com to discuss next steps.
Skybuffer SAM4U tool for SAP license adoptionTatiana Kojar
Manage and optimize your license adoption and consumption with SAM4U, an SAP free customer software asset management tool.
SAM4U, an SAP complimentary software asset management tool for customers, delivers a detailed and well-structured overview of license inventory and usage with a user-friendly interface. We offer a hosted, cost-effective, and performance-optimized SAM4U setup in the Skybuffer Cloud environment. You retain ownership of the system and data, while we manage the ABAP 7.58 infrastructure, ensuring fixed Total Cost of Ownership (TCO) and exceptional services through the SAP Fiori interface.
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7. Mission
“Entertaining everyone & making the world smile.”
Understanding Netflix User Pain Points Proposing A Solution Measuring success Way forward
8. Company Shareholders care about?
Understanding Netflix User Pain Points Proposing A Solution Measuring success Way forward
Subscribers!
MORE SUBSCRIBERS!
Huge Competitive
Threat
9. Loyal & Growing
Customer Base
Reed Hastings cares about?
Understanding Netflix User Pain Points Proposing A Solution Measuring success Way forward
Content for everyone Accurate Recommendations &
Personalised Experience
11. Netflix
10%
Not
Netflix
90%
TV Viewership
Annual TV viewership: 1B Hours*
Number of TV households: 120 M*
Average TV viewing hours/day per HH: 8.33
Netflix users (2018): 66 M
Average Netflix viewing hours per
household per day: 1.65
In the US
Understanding Netflix User Pain Points Proposing A Solution Measuring success Way forward
Interesting Facts To Note
Source: Netflix ’18 Q4 Earnings Call
We can estimate
*Source: Neilson Research
12. Interesting Facts To Note
6000+ titles on Netflix (in the US alone)
In 2018 alone Netflix added 700+ titles
It could take upto 3.88 years to watch everything on Netflix
(if watched 24/7 without breaks)
Understanding Netflix User Pain Points Proposing A Solution Measuring success Way forward
13. THERE IS STILL MORE THAN 6 HOURS WORTH OF
OPPORTUNITY PER HOUSEHOLD!
Understanding Netflix User Pain Points Proposing A Solution Measuring success Way forward
14. Who are the users?
On the Dimension of Time Spent Watching Netflix
The Daily The Hardly Evers
Understanding Netflix User Pain Points Proposing A Solution Measuring success Way forward
The Weekenders
17. Survey
Sample Set includes:
100 Respondents
US based
Age group: 21 - 40
Equal gender representation
Understanding Netflix User Pain Points Proposing A Solution Measuring success Way forward
Aim: Validating if users experience fatigue on Netflix.
In person
interviews
Observing
users
18. Finding #1
User Behaviour:
Average Discovery Time (DT) for most users = 15 min+
0 0.15 0.3 0.45 0.6 0.75
Less than 15 min
10-15 min
30 min
More than 45+ min
Understanding Netflix User Pain Points Proposing A Solution Measuring success Way forward
Note: Total avg. viewing hours on Netflix per user: 1.65 hours
19. User Behaviour (when they don't find anything to watch):
Most Switch to another platform / Don’t watch anything
Finding #2
0 0.1 0.2 0.3 0.4
Quit to another platform
Quit and don't watch anything
Message a friend for recommendations
Watch something from NF recommendations
]
Understanding Netflix User Pain Points Proposing A Solution Measuring success Way forward
20. Finding #3
User Behaviour Frequency (when they don't find anything to watch):
Most users said they switch/quit frequently
Never
3%
Quite
Frequently
80%
Sometimes
12%
Almost
Always
5%
Note: Quite Frequently defined as: 2 / 5 or 40% of the times
Understanding Netflix User Pain Points Proposing A Solution Measuring success Way forward
21. Finding #4
0 0.15 0.3 0.45 0.6
Friends
Recommendations
Netflix
Recommendations
Own Curated
Lists
Social Media, Blogs,
Online Reviews
Users Trust:
Recommendations from friends > Recommendations from Netflix
]
Understanding Netflix User Pain Points Proposing A Solution Measuring success Way forward
22. 0 0.1 0.2 0.3 0.4
Quit to another platform
Quit and don't watch anything
Message a friend for recommendations
Watch something from NF recommendations
Finding #5
User behaviour (when they don't find anything to watch):
Most don’t text a friend in the moment
Understanding Netflix User Pain Points Proposing A Solution Measuring success Way forward
]
23. Summary of Company & User Research
More Titles +
Imperfect
Recommendations
Increase in
Discovery Time
User Fatigue
Drop
Off/Switch
• Netflix content is growing at a very fast pace.
• Users spend significant amount of total avg. viewing time on discovery.
• Netflix recommendations haven’t been perfect.
• Friends are better trusted source for recommendations.
Summary of the User’s Problem
Understanding Netflix User Pain Points Proposing A Solution Measuring success Way forward
24. My Conclusion
Since machine based recommendations are
great but not perfect, yet,
user fatigue is real.
Understanding Netflix User Pain Points Proposing A Solution Measuring success Way forward
26. Identifying the user fatigue point is crucial.
Adding trusted human aspect - at the points of fatigue
- to machine based recommendations can increase
viewership and decrease drop offs.
Understanding Netflix User Pain Points Proposing A Solution Measuring success Way forward
27. Meet Neil - The Explorer
Software Engineer, 32
Lives in Mountain View, CA
A Netflix Daily User
Loves watching & finding out about new shows &
movies
Also subscribes to Amazon Prime, Hulu, HBO
On weekends, he enjoys hanging out with friends
Pain Point:
“I watch anything and everything. But my Netflix feed has too much content
similar to what I watched but didn't like. My friends & I discuss interesting new
content all the time that I don’t see on my feed. A fresh set of unbiased
recommendations would be helpful at times when I’m just tired of scrolling.”
Understanding Netflix User Pain Points Proposing A Solution Measuring success Way forward
29. Don’t Snooze Yet – A Netflix Original
Understanding Netflix User Pain Points Proposing A Solution Measuring success Way forward
30. How will it work?
2 Key Aspects:
• Identifying unique fatigue point for every user.
• Leverages on ‘The Social Effect’ at fatigue point.
(Facebook is used as an example here)
Understanding Netflix User Pain Points Proposing A Solution Measuring success Way forward
31. Unique Fatigue Point
Estimated per user based on machine learning algorithms
built on data models that aggregates and captures signals*
as:
• Drop off time: Amount of time a user spends looking for shows before abandoning
the platform without playing anything.
• Viewing time per session: How long did the user watch the show, and did he
interrupt to go back to browsing.
• Discovery time per session : Amount of time user spends to browse shows before
watching something.
• Content Watched : What did the user end up watching, something we
recommended, something random and new, or shows he’s watched already but
repeats frequently.
*Based on an assumption that Netflix already captures the above usage logs
Understanding Netflix User Pain Points Proposing A Solution Measuring success Way forward
34. Measuring success
Discovery Time
Viewing Time
Drop-off Rate
Understanding Netflix User Pain Points Proposing A Solution Measuring success & Launch Way forward
At Product Level
35. Fatigue Detection
Don’t Snooze Yet Screen
Social Media Plugin
Measuring success
At Feature Level
Activation Retention
My List
How many times does Don’t
Snooze Yet screen show up
for Neil per viewing hour?
Did Neil drop off before Don’t
Snooze Yet screen showed up?
How many times does Neil play
from Don’t Snooze Yet screen?
How many times does Neil play
from what a followed friend
watched?
Has Neil integrated his
social media to Netflix?
Does he add friends’ shows
to his own list?
Is he adding more
shows/movies to his lists? Is
adding categories?
Is Neil interacting with Don’t
Snooze Yet Screen?
Understanding Netflix User Pain Points Proposing A Solution Measuring success & Launch Way forward
36. Launch
Understanding Netflix User Pain Points Proposing A Solution Measuring success & Launch Way forward
Beta Test MVP
Phase 1: Internal Test with Netflix employees
Phase 2:
Users who have agreed to Participate in Tests.
US based
100k users (standard Netflix testing sample size)
Don’t Snooze Yet Screen on TV only
Social Plugin enabled across all devices
37. Share your Netflix
stories with your friends now!
Expect lots of
memes!
• Social Media
• Push Notifications
• In-app / Web notifications
• Blog
• Email
Go To Market
Understanding Netflix User Pain Points Proposing A Solution Measuring success & Launch Way forward
Across all devices
38. Don’t Snooze Yet!
Share your Netflix stories now!
Understanding Netflix User Pain Points Proposing A Solution Measuring success & Launch Way forward
3 of your friends are watching Narcos Mexico
• Social Media
• Push Notifications
• In-app / Web notifications
• Blog
• Email
Go To Market
39. See what your friends are watching now.
Add their shows to your list. And Watch Better.
See what your friends are watching now.
Create your own recommendations. Watch
better.
Understanding Netflix User Pain Points Proposing A Solution Measuring success & Launch Way forward
• Social Media
• Push Notifications
• In-app / Web notifications
• Blog
• Email
Go To Market
40. Don’t Snooze Yet!
Share your Netflix stories now!
Adding recommendations from trusted friends to the Netflix
experience.
Understanding Netflix User Pain Points Proposing A Solution Measuring success & Launch Way forward
• Social Media
• Push Notifications
• In-app / Web notifications
• Blog
• Email
Go To Market
41. Don’t Snooze Yet!
Share your Netflix stories now!
3 of your Friends Have Been Watching Narcos Mexico, Neil!
Understanding Netflix User Pain Points Proposing A Solution Measuring success & Launch Way forward
• Social Media
• Push Notifications
• In-app / Web notifications
• Blog
• Email
Go To Market
42. Estimated Roadmap
Phase 1 (MVP): Don’t Snooze Yet
Product
Design/UX
Engineering
Sprint 1
Wireframe
Prototype:
1. DSY Screen
2. User Profiles, Social Plugin
3. My List Update
Sprint 2
Fatigue
Identification / Data
Model
Sprint 3
Back End/Server-side
Implementation
UI Development for all screens
Integration
Sprint 4
QA
Launch
User Testing; User Feedback
Coordination with
Marketing to prep for
announcement
Firefighting Across Teams
Test!
Understanding Netflix User Pain Points Proposing A Solution Measuring success & Launch Way forward
Design Validation
Beta Testing
44. Phase 2
Main Feed
Further down the road: Short Term
Understanding Netflix User Pain Points Proposing A Solution Measuring success & Launch Way forward
45. • Making fatigue point identification 100% accurate.
• Training data for better machine learning based
recommendations model.
• Capturing data on kind of content users prefer / don’t prefer to
watch.
Other Benefits
Understanding Netflix User Pain Points Proposing A Solution Measuring success & Launch Way forward
46. Further down the road: Long Term
Phase 1 Phase 2 Phase 3
Don't Snooze Yet
Main Feed
Pattern Based
Recommendations
Neil likes watching Netflix when he is getting dinner. He usually
picks something out from his Dinner Time shows. Recommend
something from there to him on his main feed.
Right recommendations to the
right user at the right time.
Understanding Netflix User Pain Points Proposing A Solution Measuring success & Launch Way forward
47. "I think about it really as us winning time away,
entertainment time, from other activities. Instead of doing
Xbox or Fortnite or YouTube or HBO or a long list, we want
to win and provide a better experience.”
- Reed Hastings
49. Hi, I am Sneha
Die-Hard Netflix Fan.
A Product Enthusiast
About me
sul.sneha@gmail.com
Notes de l'éditeur
I’m going to talk to you about our beloved company - Netflix. Imagine this.
You come back home from a long day at work. Food is ready. Netflix is on.
You start browsing. You scroll through different titles. You’re on your list. 5 min. 10 min. 15 min. Food is over.
So let’s jump right in.
Netflix wants to: entertain everyone and make everyone smile.
Shareholders want: subscribers and more subscribers.
But we also care about: best content for everyone, beautiful CX with accurate recommendations leading to happy, growing customers.
For the context of this presentation we will look at
The time people watch shows on Netflix
The time between searching and playing a show on Netflix
And the number of times people leave the platform
Netflix takes up 10% of the 1B hours of TV viewership in the US - about 1.65 hours per day.
There is too much content on Netflix. Growing at a very fast pace.
A lot of opportunity to grow.
I decided to segment our users into these 3 buckets according to time they spend on Netflix.
With this in mind, I conducted a survey some in person interviews with current users. Focusing on the US market to start with. I found 5 things.
When asked what they do when they don’t find anything on Netflix to watch, most said they switch or quit.
Very few text friends.
Also, note. A lot of users are on 1 other platform at least.
With these findings in mind, I have come to the conclusion that…
A New Feature which we’ll call ‘Dont Snooze Yet’
So we are back to the browsing screen, 15 min in - fatigue is setting in.
And then this shows up.
A handpicked list of few shows that is fed in from your own several watch lists and from what your trusted circle of friends have been watching recently.
When you don’t know what to watch, this will be that friend you could but won’t text.
Let’s take a step back and see how this would work.
We’ll start with revamping an understated feature on Netflix - “My List”
You can now create several of your own lists - according to your mood, time you watch certain shows etc so that a specific kinds of shows and movies are easily accessible when you are looking for them.
When you add shows to your list, Netflix would aut-tag the shows, giving the lists their identity of genre so we can show you recommendations of lists of other people who watch similar genre.
You would be able to plug in to your social profile and follow your friends or even discover new people with similar tastes. You will be able to see what they are watching, there lists and people they follow.
Lastly, you could set your list or what you are currently watching to public or private mode also.
That is the first look of our brand new feature: Don’t Snooze Yet.
This aims to directly impact the discovery time and increase viewing time, decreasing the drop off rates. Better recommendations (with the ML + the human component) would lead to increased effective viewing time.
We will roll out the feature to our users and leverage on our strong social media presence.
Push Notifications.
Reach out via email too.
I am estimating about 8 weeks from start to launch for the MVP and will be working across Product, Design and Engineering.
If the MVP is a success, we will roll the feature out on the main feed itself as a part of phase 2.
The long term idea is to:
Use user usage and preference data to train our ML models better and make better content decisions and offer pattern based recommendations.
To conclude, this will be in line with our larger company vision and goal.