How to use both big and thick data, quantitative and qualitative user studies, to drive product development, design, and growth?
Case studies at KKTV and examples of leveraging Amplitude Analytics.
Is data culture just a fantasy for giant corporations? How does a data culture impact a startup's daily work? How does a team collaborate around a data culture?
Examples at KKTV, leveraged the tool Amplitude
Userlytics is a premier Usability Testing Platform that captures the qualitative and quantitative user experience data of participants by recording the screen + audio + webcam of participants in a “Picture-in-Picture” format with hard metrics such as time on task, success/failure, ease of use, and more. This tool facilitates the rapid iterative design, development, and customer experience diagnosis of all digital assets, including websites, mobile apps, mockups, videos, prototypes, search journeys, etc.
Scroll through the presentation to learn more about Userlytics and the features the Userlytics platform provides.
With the expertise of our CEO, we've put together a webinar about MVP readiness. If you're low on time, budget, and resources, build a lean solution. A minimum viable product has enough design and development to launch within a shorter time frame. Not only do you save time and money, you'll be able to make iterations and versions post-launch.
See how to prepare for an MVP with Ali Allage, the CEO of Boost Labs.
For more about MVPs, contact us!
Lean startups en el mundo real ejemplos y metricasSoftware Guru
Ejemplos de startups usando las metodologias de Lean Startups y Customer Development, presentados no a nivel conceptual sino como casos de estudio incluyendo metricas y desarrollo a traves del tiempo.
Better Living Through Analytics - Louis Cialdella Product SchoolLouis Cialdella
What does a successful partnership between product and analytics teams look like? What can analysts do to ensure a successful partnership with other teams? Some strategies and tips from my work at ZipRecruiter.
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.
Build a Foundation for Data Integrity with Analytics AuditingTinuiti
If your data isn’t collected correctly, it will impact everything downstream. Learn the importance of a well-implemented analytics platform and how it can inform your decision making. Discover how Mobius, and partner ObservePoint work together to maintain proactive data integrity.
Is data culture just a fantasy for giant corporations? How does a data culture impact a startup's daily work? How does a team collaborate around a data culture?
Examples at KKTV, leveraged the tool Amplitude
Userlytics is a premier Usability Testing Platform that captures the qualitative and quantitative user experience data of participants by recording the screen + audio + webcam of participants in a “Picture-in-Picture” format with hard metrics such as time on task, success/failure, ease of use, and more. This tool facilitates the rapid iterative design, development, and customer experience diagnosis of all digital assets, including websites, mobile apps, mockups, videos, prototypes, search journeys, etc.
Scroll through the presentation to learn more about Userlytics and the features the Userlytics platform provides.
With the expertise of our CEO, we've put together a webinar about MVP readiness. If you're low on time, budget, and resources, build a lean solution. A minimum viable product has enough design and development to launch within a shorter time frame. Not only do you save time and money, you'll be able to make iterations and versions post-launch.
See how to prepare for an MVP with Ali Allage, the CEO of Boost Labs.
For more about MVPs, contact us!
Lean startups en el mundo real ejemplos y metricasSoftware Guru
Ejemplos de startups usando las metodologias de Lean Startups y Customer Development, presentados no a nivel conceptual sino como casos de estudio incluyendo metricas y desarrollo a traves del tiempo.
Better Living Through Analytics - Louis Cialdella Product SchoolLouis Cialdella
What does a successful partnership between product and analytics teams look like? What can analysts do to ensure a successful partnership with other teams? Some strategies and tips from my work at ZipRecruiter.
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.
Build a Foundation for Data Integrity with Analytics AuditingTinuiti
If your data isn’t collected correctly, it will impact everything downstream. Learn the importance of a well-implemented analytics platform and how it can inform your decision making. Discover how Mobius, and partner ObservePoint work together to maintain proactive data integrity.
Slide deck for Bizible Essentials for Marketo Users webinar held on July 10, 2018.
Seasoned Marketo users have grown accustomed to tracking attribution using Marketo and Advanced Report Builder (formerly RCE). But with Marketo’s acquisition of Bizible, what exactly does that mean? How does Bizible compare to the Marketo attribution tools you’re currently using, and more importantly, how will it impact your daily operations?
This webinar covered:
- The differences between Marketo, RCE, and Bizible
- Common applications and current tool limitations vs. Bizible solutions
- Peer-to-peer case study: challenges to transition to results
Digital marketing from a startup founder point of view - Brussels MeetupMohsin El Khamlichi
Digital Marketing overview from a startup founder point of view: sales funnel/AARRR, acquisition channels, marketing metrics, growth hacking, marketing tools & stacks, marketing plans,...
Affordable Influencer Marketing For Brands of All Sizes | HeepsyKate Santoro
Learn how to do affordable influencer marketing, whatever your budget!
This presentation is based on The Definitive Guide to Influencer Marketing, an influencer marketing campaign guidebook from the team at Heepsy.
Heepsy is an influencer marketing platform that lets you search and analyze over 11 million influencers on Instagram and Youtube. Find exactly what you're looking for with our search filters, and analyze influencer profiles immediately.
State of the Media and OTT App User LifecycleCleverTap
With 67% user churn in the first two weeks and the viewing landscape becoming mobile first, getting a user to engage with your media and OTT app may be harder than expected.
We break down the OTT app user lifecycle and share what we found out by analyzing over 8.7 billion data points across 100 million devices and 80 million users. We’ll also share a few #CleverTips that can help you succeed in a competitive market, and how you can get users to engage more and stay glued to your app.
What Your Customers Really Do Online: 5 Ways to Remove the GuessworkOptimizely
As digital marketers and experience leaders, we have increasingly reduced our customers to merely data points, line graphs, and bar charts.
The problem is that we are losing the necessary insight and experimentation to understand human behavior across digital channels. To uncover our customers’ true intent, and ultimately understand the behavioral impact on the bottom line, we need to start asking WHY.
In this webinar, hear from experts from Clicktale and Optimizely as they share experiences from working with brands like Samsung, Missguided, and RBS to uncover:
- What data and insights can uncover about customers’ digital behavior
- How to align metrics that look at measuring the experience, not just conversion
- How brands are scaling an approach to data, insights, and analytics across their organizations
- Best practices in ideation, A/B testing, and experimentation
What's new at Elastic: Update on major initiatives and releasesElasticsearch
The first technical talk of the event will highlight the latest releases at Elastic with specific insight into how those changes impact public sector projects. See the inside view of the most important capabilities and hear predictions on the developments that will be most applicable in our industry.
Data Driven Product Vision - Dawn of the Data Age Lecture SeriesLuciano Pesci, PhD
Analytics is the applied use of data in processes, and it’s something product managers need to learn to love because their careers are trending towards data. This is because data=fuel when making decisions and identifying goals.To achieve your product vision you need to segment customers by persona to identify high-value groups and use frameworks and key performance indicators (KPIs) to validate your decisions before setting the next set of goals.
This Lecture Will:
-TEACH YOU WHY DATA IS FUEL FOR PRODUCT VISION MAPPING.
-SHOW YOU THE MAIN DATA TYPES AND THEIR USES IN PRODUCT DEV.
-EXPLAIN HOW TO USE FRAMEWORKS & KPIs TO ACHIEVE YOUR PRODUCT VISION.
You can watch this lecture here: https://youtu.be/fCbTTjvDXLE
Unifying feature management with experiments - Server Side Webinar (1).pdfVWO
What’s common across companies like Netflix, Airbnb, Amazon, and Google? - Their ability to continuously experiment and roll out enhancements quickly across all aspects of their business. Today, every business is fundamentally a technology business. To stay ahead of the competition, you must iterate quickly with experiments across configurations in search algorithms, navigation, checkout flows, discounts, and security settings without breaking existing experience. That’s precisely what unifying experimentation with feature management enables for you.
Join Thejas Sridhar, Manager of Product Marketing, to explore the power of unifying A/B testing and feature management for continuous development.
This is part one of the Lean UX workshops outlining in a practical way, the Lean UX processes. These workshops are run as part of the Lean UX Labs experiment.
The new Google Analytics 4 will become the new standard in digital analytics with Universal Google Analytics sunsetting July 2023. GA4 can automatically alert you to significant trends in your data, provide insights from your data, and even help you anticipate future actions your customers may take with predictive analytics. By the end of this presentation, attendees will create better integrations with their current marketing platforms for a more complete cross-channel analytics view of a customer journey. The presentation will cover technical GA4 skills to utilize for data import audiences, funnel explorations, events and conversions, and consent mode.
Content marketing analytics: what you should really be doingDaniel Smulevich
My presentation from Digital Marketing Show 2014. #DMSLDN
A journey through web analytics processes, from setting up KPIs to integrating data sources and automating reports.
成長駭客與成長團隊,如何和產品設計合作,打造持續變化且追求成長的產品。
How do KKTV's Growth Team and Growth Hackers co-work with Product Designers, for building a fast-growing and ever-changing product.
AB testing and product design based on behavior data extracted from users, both qualitative and quantitative, and most important of all, how to leverage both data to reinforce each other, sharpening two swords.
Slide deck for Bizible Essentials for Marketo Users webinar held on July 10, 2018.
Seasoned Marketo users have grown accustomed to tracking attribution using Marketo and Advanced Report Builder (formerly RCE). But with Marketo’s acquisition of Bizible, what exactly does that mean? How does Bizible compare to the Marketo attribution tools you’re currently using, and more importantly, how will it impact your daily operations?
This webinar covered:
- The differences between Marketo, RCE, and Bizible
- Common applications and current tool limitations vs. Bizible solutions
- Peer-to-peer case study: challenges to transition to results
Digital marketing from a startup founder point of view - Brussels MeetupMohsin El Khamlichi
Digital Marketing overview from a startup founder point of view: sales funnel/AARRR, acquisition channels, marketing metrics, growth hacking, marketing tools & stacks, marketing plans,...
Affordable Influencer Marketing For Brands of All Sizes | HeepsyKate Santoro
Learn how to do affordable influencer marketing, whatever your budget!
This presentation is based on The Definitive Guide to Influencer Marketing, an influencer marketing campaign guidebook from the team at Heepsy.
Heepsy is an influencer marketing platform that lets you search and analyze over 11 million influencers on Instagram and Youtube. Find exactly what you're looking for with our search filters, and analyze influencer profiles immediately.
State of the Media and OTT App User LifecycleCleverTap
With 67% user churn in the first two weeks and the viewing landscape becoming mobile first, getting a user to engage with your media and OTT app may be harder than expected.
We break down the OTT app user lifecycle and share what we found out by analyzing over 8.7 billion data points across 100 million devices and 80 million users. We’ll also share a few #CleverTips that can help you succeed in a competitive market, and how you can get users to engage more and stay glued to your app.
What Your Customers Really Do Online: 5 Ways to Remove the GuessworkOptimizely
As digital marketers and experience leaders, we have increasingly reduced our customers to merely data points, line graphs, and bar charts.
The problem is that we are losing the necessary insight and experimentation to understand human behavior across digital channels. To uncover our customers’ true intent, and ultimately understand the behavioral impact on the bottom line, we need to start asking WHY.
In this webinar, hear from experts from Clicktale and Optimizely as they share experiences from working with brands like Samsung, Missguided, and RBS to uncover:
- What data and insights can uncover about customers’ digital behavior
- How to align metrics that look at measuring the experience, not just conversion
- How brands are scaling an approach to data, insights, and analytics across their organizations
- Best practices in ideation, A/B testing, and experimentation
What's new at Elastic: Update on major initiatives and releasesElasticsearch
The first technical talk of the event will highlight the latest releases at Elastic with specific insight into how those changes impact public sector projects. See the inside view of the most important capabilities and hear predictions on the developments that will be most applicable in our industry.
Data Driven Product Vision - Dawn of the Data Age Lecture SeriesLuciano Pesci, PhD
Analytics is the applied use of data in processes, and it’s something product managers need to learn to love because their careers are trending towards data. This is because data=fuel when making decisions and identifying goals.To achieve your product vision you need to segment customers by persona to identify high-value groups and use frameworks and key performance indicators (KPIs) to validate your decisions before setting the next set of goals.
This Lecture Will:
-TEACH YOU WHY DATA IS FUEL FOR PRODUCT VISION MAPPING.
-SHOW YOU THE MAIN DATA TYPES AND THEIR USES IN PRODUCT DEV.
-EXPLAIN HOW TO USE FRAMEWORKS & KPIs TO ACHIEVE YOUR PRODUCT VISION.
You can watch this lecture here: https://youtu.be/fCbTTjvDXLE
Unifying feature management with experiments - Server Side Webinar (1).pdfVWO
What’s common across companies like Netflix, Airbnb, Amazon, and Google? - Their ability to continuously experiment and roll out enhancements quickly across all aspects of their business. Today, every business is fundamentally a technology business. To stay ahead of the competition, you must iterate quickly with experiments across configurations in search algorithms, navigation, checkout flows, discounts, and security settings without breaking existing experience. That’s precisely what unifying experimentation with feature management enables for you.
Join Thejas Sridhar, Manager of Product Marketing, to explore the power of unifying A/B testing and feature management for continuous development.
This is part one of the Lean UX workshops outlining in a practical way, the Lean UX processes. These workshops are run as part of the Lean UX Labs experiment.
The new Google Analytics 4 will become the new standard in digital analytics with Universal Google Analytics sunsetting July 2023. GA4 can automatically alert you to significant trends in your data, provide insights from your data, and even help you anticipate future actions your customers may take with predictive analytics. By the end of this presentation, attendees will create better integrations with their current marketing platforms for a more complete cross-channel analytics view of a customer journey. The presentation will cover technical GA4 skills to utilize for data import audiences, funnel explorations, events and conversions, and consent mode.
Content marketing analytics: what you should really be doingDaniel Smulevich
My presentation from Digital Marketing Show 2014. #DMSLDN
A journey through web analytics processes, from setting up KPIs to integrating data sources and automating reports.
Similar to Triangulating Data to Drive Growth (20)
成長駭客與成長團隊,如何和產品設計合作,打造持續變化且追求成長的產品。
How do KKTV's Growth Team and Growth Hackers co-work with Product Designers, for building a fast-growing and ever-changing product.
AB testing and product design based on behavior data extracted from users, both qualitative and quantitative, and most important of all, how to leverage both data to reinforce each other, sharpening two swords.
Internet Research Lab at NTU, Taiwan.
SIGCOMM HotSDN 2012 is the first conference workshop focused on SDN. This presentation provides a survey of selected papers in HotSDN'12 and revisits concepts and frameworks of SDN. Example applications are also presented.
Software-Defined Networking SDN - A Brief IntroductionJason TC HOU (侯宗成)
Internet Research Lab at NTU, Taiwan.
Software-Defined Networking overview and framework introduction. (ppt slide for download.) Comparing server virtualization and network virtualization, take Onix controller as an example. A quick view to LightRadio from Alcetel-Lucent.
Internet Research Lab at NTU, Taiwan.
A survey of routing in data center networks and latest IEEE 802.1Qau - Congestion Notification standard in data center bridging task group.
Introduction to Cloud Computing Data Center and Network Issues to Internet Research Lab at NTU, Taiwan. Another definition of cloud computing and comparison of traditional IT warehouse and current cloud data center. (ppt slide for download.) Take a opensource data center management OS, OpenStack, as an example. Underlying network issues inside a cloud DC.
Presentation of OpenStack survey to Internet Research Lab at National Taiwan University, Taiwan. OpenStack framework and architecture overview. (ppt slide for download.) Materials collected from various resources, not originally produced by the author.
Briefly explained Nova, Swift, Glance, Keystone, and Quantum.
Levelwise PageRank with Loop-Based Dead End Handling Strategy : SHORT REPORT ...Subhajit Sahu
Abstract — Levelwise PageRank is an alternative method of PageRank computation which decomposes the input graph into a directed acyclic block-graph of strongly connected components, and processes them in topological order, one level at a time. This enables calculation for ranks in a distributed fashion without per-iteration communication, unlike the standard method where all vertices are processed in each iteration. It however comes with a precondition of the absence of dead ends in the input graph. Here, the native non-distributed performance of Levelwise PageRank was compared against Monolithic PageRank on a CPU as well as a GPU. To ensure a fair comparison, Monolithic PageRank was also performed on a graph where vertices were split by components. Results indicate that Levelwise PageRank is about as fast as Monolithic PageRank on the CPU, but quite a bit slower on the GPU. Slowdown on the GPU is likely caused by a large submission of small workloads, and expected to be non-issue when the computation is performed on massive graphs.
Analysis insight about a Flyball dog competition team's performanceroli9797
Insight of my analysis about a Flyball dog competition team's last year performance. Find more: https://github.com/rolandnagy-ds/flyball_race_analysis/tree/main
Learn SQL from basic queries to Advance queriesmanishkhaire30
Dive into the world of data analysis with our comprehensive guide on mastering SQL! This presentation offers a practical approach to learning SQL, focusing on real-world applications and hands-on practice. Whether you're a beginner or looking to sharpen your skills, this guide provides the tools you need to extract, analyze, and interpret data effectively.
Key Highlights:
Foundations of SQL: Understand the basics of SQL, including data retrieval, filtering, and aggregation.
Advanced Queries: Learn to craft complex queries to uncover deep insights from your data.
Data Trends and Patterns: Discover how to identify and interpret trends and patterns in your datasets.
Practical Examples: Follow step-by-step examples to apply SQL techniques in real-world scenarios.
Actionable Insights: Gain the skills to derive actionable insights that drive informed decision-making.
Join us on this journey to enhance your data analysis capabilities and unlock the full potential of SQL. Perfect for data enthusiasts, analysts, and anyone eager to harness the power of data!
#DataAnalysis #SQL #LearningSQL #DataInsights #DataScience #Analytics
The Building Blocks of QuestDB, a Time Series Databasejavier ramirez
Talk Delivered at Valencia Codes Meetup 2024-06.
Traditionally, databases have treated timestamps just as another data type. However, when performing real-time analytics, timestamps should be first class citizens and we need rich time semantics to get the most out of our data. We also need to deal with ever growing datasets while keeping performant, which is as fun as it sounds.
It is no wonder time-series databases are now more popular than ever before. Join me in this session to learn about the internal architecture and building blocks of QuestDB, an open source time-series database designed for speed. We will also review a history of some of the changes we have gone over the past two years to deal with late and unordered data, non-blocking writes, read-replicas, or faster batch ingestion.
Techniques to optimize the pagerank algorithm usually fall in two categories. One is to try reducing the work per iteration, and the other is to try reducing the number of iterations. These goals are often at odds with one another. Skipping computation on vertices which have already converged has the potential to save iteration time. Skipping in-identical vertices, with the same in-links, helps reduce duplicate computations and thus could help reduce iteration time. Road networks often have chains which can be short-circuited before pagerank computation to improve performance. Final ranks of chain nodes can be easily calculated. This could reduce both the iteration time, and the number of iterations. If a graph has no dangling nodes, pagerank of each strongly connected component can be computed in topological order. This could help reduce the iteration time, no. of iterations, and also enable multi-iteration concurrency in pagerank computation. The combination of all of the above methods is the STICD algorithm. [sticd] For dynamic graphs, unchanged components whose ranks are unaffected can be skipped altogether.
Chatty Kathy - UNC Bootcamp Final Project Presentation - Final Version - 5.23...John Andrews
SlideShare Description for "Chatty Kathy - UNC Bootcamp Final Project Presentation"
Title: Chatty Kathy: Enhancing Physical Activity Among Older Adults
Description:
Discover how Chatty Kathy, an innovative project developed at the UNC Bootcamp, aims to tackle the challenge of low physical activity among older adults. Our AI-driven solution uses peer interaction to boost and sustain exercise levels, significantly improving health outcomes. This presentation covers our problem statement, the rationale behind Chatty Kathy, synthetic data and persona creation, model performance metrics, a visual demonstration of the project, and potential future developments. Join us for an insightful Q&A session to explore the potential of this groundbreaking project.
Project Team: Jay Requarth, Jana Avery, John Andrews, Dr. Dick Davis II, Nee Buntoum, Nam Yeongjin & Mat Nicholas
2. 2
Jason Hou
Growth Team Lead at KKTV
Joined KKTV 2 months before service launch
Built Growth Team from 0 to 4
Started using Mixpanel, Google Analytics by 2013
Started using Amplitude by 2014
4. 4
Actually..
We hope to share our methodology and mindset
of triangulating different types of data
Of course, Amplitude is probably the easiest way
for most people, at the time of this sharing
5. 5
Triangulating Data Triggers Actions
Triangulate
Macro Trends
Quantitative Data
Micro Streams
Qualitative Data
Human Judgement
Industry Experience
6. ● My Highlights of Amplitude Analytics
我眼中的 Amplitde,有哪些亮點?
● Customer Support - From Macro to Micro
讓客服從「巨觀到微觀」 - 從資料點到個體紀錄
● Marketing - High Definition Custom Audience
讓行銷有「高解析度的自建受眾」 - 優化 FB 廣告名單
● Messaging Experiment - From Hypo to Actions
訊息實驗 - 從「假設到行動」
● Cuz “You Never Know” - Triangulating Data
交叉比對 - 因為永遠有意外
6
Agenda
9. 9
Amplitude Enable Us to..
● Get realtime data streams (no sampling), and fast reporting
● Jump between macro, aggregated trends to micro, individual streams
=> Compare two types of data: quantitative and qualitative
● Group users based on their behaviors (events) to create cohorts
=> No SQL needed to build custom audience or user segments
● Compare cohorts by applying multiple metrics and reports
=> Generate actionable insights, verify hypotheses quickly
10. 10
Powering The Entier Team
50%of the team play data every week
Among the top 10 Amplitude users in KKTV:
4from Customer Support
3from Growth Team
2from Marketing, and 1from Content Licensing
11. 11
How We Leverage Amplitude….?
Let’s see what the heavy users do !
3 cases showing you how...
● Customer support
● Marketing
● Growth / Product
use Amplitude
22. 22
More Scenarios of Leveraging User Activity
● UX/UR Designers: Peek into user event history before interview
● Growth Team: QA trackings & AB testings, find growth targets
● Customer Support: Find issues, report bugs
● Developers: Trace events before & after bugs, find root cause
23. 23
Find Growth Targets: For Users Who Dropped Off ...
Where did they go?
What were they doing INSTEAD?
(Demo Data)
25. 25
What is Behavioral Cohort?
Group users based on their actions
(and/or attributes)
See what they do, how they perform
This sharing is also using this concept
=> Select top Amplitude users in KKTV
=> Show what they do
26. 26
FB Custom or Lookalike Audience Is Key to Boost Ad Return
Create Custom Audience
Create Lookalike Audience
29. 29
● Marketing: Create Custom Audience
● Marketing: Send out targeted push notifications
● Content Operation: Discovery user persona from watch history
More Scenarios of Leveraging Behavioral Cohort
● UX/UR Designers: Send out targeted surveys
● Growth Team: Compare cohorts by applying multiple metrics
33. 33
Assumption vs Reality
● Assumption:
○ KKTV provides cross-platform experience
○ Users will know and jump between platforms
Assumption is great, but...
..always remember to double check it with reality
OK, HOW?
35. 35
Assumption vs Reality
● Assumption:
○ KKTV provides cross-platform experience
○ Users will know and jump between platforms
● Reality: (Right after KKTV was launched)
○ We acquired a lot of users on mobile
○ Very few of them used both mobile and web apps
36. 36
Questions Trigger Actions
● Assumption:
○ KKTV provides cross-platform experience
○ Users will know and jump between platforms
● Reality: (Right after KKTV was launched)
○ We acquired a lot of users on mobile
○ Very few of them used both mobile and web apps
● Follow-up questions:
○ For users who jumped between platforms, how are they different?
○ Is it important to encourage users to do so? How?
37. 37
More Observations & Quick Validations
● From user researchers:
○ Mobile users were surprised to know there’s KKTV Web App
○ They expressed satisfaction after using it
○ They described scenarios of when and why they would use it
● By using behavioral cohorts:
○ Cohort 1: Select users who jumped between mobile & web platforms
○ Cohort 2: Select users who didn’t
○ We compare two cohorts by applying retention & conversion metrics
○ => Cohort 1 performs far better then cohort 2
38. ● For users who signed up on mobile platforms...
○ What if we notify them there’s KKTV Web App?
○ How are we going to notify them?
38
Design Experiments
● Experiment examples:
○ Send out a push notification after sign-up, then compare w/ control group
○ Display a in-app welcome message, and show a picture of Web App
39. ● We inject experiment data into Amplitude
○ Separate users in different experiment groups into cohorts
○ Compare results by applying multiple metrics
39
Analyze Experiments
40. Cuz “You Never Know” - Triangulating Data
交叉比對 - 因為永遠有意外
40
05
41. Story of “You Never Know” - 5-Day-Long Session
41
2017-08-17
2017-08-13
Data Scientist Asked:
“How is it even possible?”
42. Story of “You Never Know” - 5-Day-Long Session
42
For a session to end:
{ App is backgrounded }
AND
{ Stops sending events for 5min }
46. 46
Triangulating Data Triggers Actions
Triangulate
Macro Trends
Quantitative Data
Micro Streams
Qualitative Data
Human Judgement
Industry Experience