SlideShare a Scribd company logo
HOW TO BUILD A SUCCESSFUL
EXPERIMENTATION PROGRAM
Gokce Tombul
A little bit about me
Gokce Tombul
Sr. Director of Product, Growth & Discovery
A little bit about Udemy
We are a marketplace for online courses.
Instructors Students
Udemy’s Growth
Let’s talk about how to build a successful
experimentation program.
"To invent you have to
experiment, and if you
know in advance that it's
going to work, it's not an
experiment.”
- Jeff Bezos
Image source: huffpost.com
- Limited resources
- Few experiments per quarter
- No clear process
- Very little revenue contribution
coming from experiments
Before
- Limited resources
- Few experiments per quarter
- No clear process
- Very little revenue contribution
coming from experiments
Before
- 4 agile teams
- 40 - 50 experiments per quarter
- Established process
- Significant revenue contribution
Today
Our Approach
Step 1: Set Clear Business Metrics
Our Approach
Step 1: Set Clear Business Metrics
Step 2: Ideation
Our Approach
Step 1: Set Clear Business Metrics
Step 2: Ideation
Step 3: Prioritization
Our Approach
Step 1: Set Clear Business Metrics
Step 2: Ideation
Step 3: Prioritization
Step 4: Execution
0
This is how I felt
Image source: beyondanxietyanddepression.com
How did we actually get there?
Step 1: Build the Right Process
Step 2: Build the Right Team
Step 3: Create the Right Culture
Step 1: Build the Right Process
Image source: 123rf.com
Process: The Experimentation Loop
Prioritize User
Problems
Form
Hypotheses
Gather Data
Prioritize
Hypotheses
Design
Build
Learn &
Improve
Test
Process: The Experimentation Loop
Prioritize User
Problems
Form
Hypotheses
Gather Data
Prioritize
Hypotheses
Design
Build
Learn &
Improve
Test
Gather Data
Rely on quantitative data to answer these questions:
- How do people use your product?
- Where do they get stuck?
How Do People Use Your Product: Pathway
Analysis
Pathway Analysis
Traffic Channel Landing Page Discovery Conversion
Pathway Analysis
Traffic Channel Landing Page Discovery Conversion
Note: Does not represent real Udemy numbers
30% Direct
40% SEO
20% Paid Acq
Pathway Analysis
Traffic Channel Landing Page Discovery Conversion
Note: Does not represent real Udemy numbers
30% Direct
40% SEO
20% Paid Acq
70% Product Page
30% Home Page
Pathway Analysis
Traffic Channel Landing Page Discovery Conversion
Note: Does not represent real Udemy numbers
30% Direct
40% SEO
20% Paid Acq
70% Product Page
30% Home Page
20% Search
10% Browse
2% Success Page
Pathway Analysis
Traffic Channel Landing Page Discovery Conversion
30% Direct
40% SEO
20% Paid Acq
70% Product Page
30% Home Page
1% Success Page20% Search
10% Browse
2% Success Page
Note: Does not represent real Udemy numbers
How Do People Use Your Product: Funnel Analysis
Understand the leakiest parts of your funnel
Product Landing Page
1,000,000
Watched the Preview Video
600,000
Created an
Account
60,000
Purchased
1,200
60%
10%
2%
Note: Does not represent real Udemy numbers
User
Segmentation
Matters
Image source: shortcourses.angliss.edu.au
3 Questions to Ask to Figure Out the Right Segment
3 Questions to Ask to Figure Out the Right Segment
1) Which type of users might be using your product differently?
3 Questions to Ask to Figure Out the Right Segment
1) Which type of users might be using your product differently?
2) Which one of these users actually behave differently in your product?
3 Questions to Ask to Figure Out the Right Segment
1) Which type of users might be using your product differently?
2) Which one of these users actually behave differently in your product?
3) Is the segment that’s behaving differently big enough for you to care?
3 Questions to Ask to Figure Out the Right Segment
1) Which type of users might be using your product differently?
2) Which one of these users actually behave differently in your product?
3) Is the segment that’s behaving differently big enough for you to care?
For Udemy
We ran the pathway analysis and funnel analysis for these user segments:
- First time Udemy visitors vs returning visitors
- Mobile users vs desktop users
- Users coming from different traffic channels
- Users coming to buy different category of courses
We decided to focus on
First time Udemy visitors that landed on one of our product pages and didn’t take
any action on the page.
Process: The Experimentation Loop
Prioritize User
Problems
Form
Hypotheses
Gather Data
Prioritize
Hypotheses
Design
Build
Learn &
Improve
Test
Quantitative data is helpful
to understand how users behave
Quantitative data is helpful
to understand how users behave
but it’s not very helpful to understand
“why”
When users showed exit intent,
we asked a simple question:
What is preventing you from
purchasing this course right
now?
Qualitative User Research
Image source: blog.informizely.com
Prioritization of User Problems
1) Start with an open ended survey question to your users.
E.g - “What is preventing you from purchasing this course right now?”
Prioritization of User Problems
1) Start with an open ended survey question to your users.
E.g - “What is preventing you from purchasing this course right now?”
2) Bucket the answers in meaningful categories and this time ask as a
multi-choice question.
E.g “I will not purchase because the price is not right.” or “I don’t trust
Udemy yet”.
Top 3 Reasons For Udemy Were
- I don’t know if Udemy is the right place to learn this skill.
- I don’t understand how this course compares to the other courses.
- I don’t know if this course fits my skill level.
Now, we are so much more focused
The new focus:
“We would like to increase
Revenue Per Visitor for first
time visitors who land on
one of our product pages.
And we will do that by
solving these 3 problems for
users”
The old focus:
“We would like to increase
the Revenue Per Visitor.”
Process: The Experimentation Loop
Prioritize User
Problems
Form
Hypotheses
Gather Data
Prioritize
Hypotheses
Design
Build
Learn &
Improve
Test
Form a clear hypothesis that ties your idea to the problem you are trying to solve.
Your hypothesis statement should answer these questions:
Form Hypotheses
1) What is the problem you are solving?
Form Hypotheses
Form a clear hypothesis that ties your idea to the problem you are trying to solve.
Your hypothesis statement should answer these questions:
1) What is the problem you are solving?
2) Which user segments have this problem?
Form a clear hypothesis that ties your idea to the problem you are trying to solve.
Your hypothesis statement should answer these questions:
Form Hypotheses
1) What is the problem you are solving?
2) Which user segments have this problem?
3) Is this a real problem? What evidence do we have to support that?
Form a clear hypothesis that ties your idea to the problem you are trying to solve.
Your hypothesis statement should answer these questions:
Form Hypotheses
1) What is the problem you are solving?
2) Which user segments have this problem?
3) Is this a real problem? What evidence do we have to support that?
4) How big is the problem?
Form a clear hypothesis that ties your idea to the problem you are trying to solve.
Your hypothesis statement should answer these questions:
Form Hypotheses
Form a clear hypothesis that ties your idea to the problem you are trying to solve.
Your hypothesis statement should answer these questions:
Form Hypotheses
1) What is the problem you are solving?
2) Which user segments have this problem?
3) Is this a real problem? What evidence do we have to support that?
4) How big is the problem?
5) How are we going to solve the problem
Form a clear hypothesis that ties your idea to the problem you are trying to solve.
Your hypothesis statement should answer these questions:
Form Hypotheses
1) What is the problem you are solving?
2) Which user segments have this problem?
3) Is this a real problem? What evidence do we have to support that?
4) How big is the problem?
5) How are we going to solve the problem
6) How will we know if this experiment succeeds?
Hypotheses Template
Based on user research, we know that [X] is an important user problem. If we do
[Y], we expect to see [this] change. This change should cause an increase in
[KPIs].
Hypotheses Template
Based on user research, we know that [X] is an important user problem. If we do
[Y], we expect to see [this] change. This change should cause an increase in
[KPIs].
Example: “Based on user research, we know that 40% of first-time visitors
are not sure if Udemy is the right place to learn a new skill. If we feature
successful student stories on our product pages, we expect to increase the
trust of our first-time visitors. This should cause lower bounce rates and
increased conversion rates."
Process: The Experimentation Loop
Prioritize User
Problems
Form
Hypotheses
Gather Data
Prioritize
Hypotheses
Design
Build
Learn &
Improve
Test
Prioritization of Hypotheses
1) ICE Model
2) Build a Customized Criteria for Your Own Business
ICE
Impact
Confidence
Ease
Customized Framework
Above the Fold
(Y/N)
Addressing an
issue discovered
via user
research?
(Y/N)
Did we have
success in a
similar experiment
before?
(Y/N)
Confidence
(1-5)
Ease of Building
(1-5)
Total Score
1 1 1 5 5 20
0 1 1 4 3 11
1 0 0 3 5 10
Process: The Experimentation Loop
Prioritize User
Problems
Form
Hypotheses
Gather Data
Prioritize
Hypotheses
Design
Build
Learn &
Improve
Test
Process: The Experimentation Loop
Prioritize User
Problems
Form
Hypotheses
Gather Data
Prioritize
Hypotheses
Design
Build
Learn &
Improve
Test
Analyzing the Results
Two key questions to answer:
1) Did the experiment solve the user problem?
2) Did solving the user problem move the needle?
Record and share your learnings and
decide on the next steps
Your Success Depends On:
1) How strong your hypotheses are
1) How strong your hypotheses are
2) How strong your prioritization framework is
Your Success Depends On:
Your Success Depends On:
1) How strong your hypotheses are
2) How strong your prioritization framework is
3) How fast you can move through the cycle
Your Success Depends On:
1) How strong your hypotheses are
2) How strong your prioritization framework is
3) How fast you can move through the cycle
4) How much you are learning in each cycle
Step 2: Building the Right Team
Image source: www.scrumalliance.org
The Roles on the Team
- The Experiment Owner (Product Manager, Marketer, CRO Expert)
- Engineers
- User Experience Designer
- Data Analyst
- Data Scientist
- User Researcher
Managing Dependencies
Image source: agiletrainings.eu
Image source: agiletrainings.eu
To remove
dependencies,
create
dedicated,
cross-functional
teams with clear
decision makers.
Image source: www.solstice.com
Qualities of a Good Experimenter
Curious
Image source: www.icaneducation.ca
Analytical
Image source: www.eie.org
Comfortable
with
Uncertainty
Image source: www.digitaltrends.com
Detail
Oriented
Image source: www.mercerislandlearninglab.org
Strong
Leader
Image source: brookridgedayschool.com
Step 3: Create the Right Culture
Image source: www.halogensoftware.com
GOKCE TOMBUL - HOW TO BUILD A SUCCESSFUL EXPERIMENTATION PROGRAM
8 Out of 10 Experiments Fail
Eliminate Fear of Failure
Image source: saraohara.com
Experiment to Win
Experiment to Win Learn
Reward not only wins, but also failed
experiments with important learnings
It Has Been a Winding Road
Image source: www.feco.info
This Is How We Started
Image source: www.fafsfoundation.org
This Is How We Felt Along The Way
Image source: www.sportpsychologytoday.com
This Is How We Are Feeling Now
Image source: www.ntd.tv
Image source: www.mannersmentor.com

More Related Content

PPTX
PETER FISHERMAN - GROWTH AND ANALYTICS, APPROACHES TO LEARNING QUICKLY WITH B...
Hilary Ip
 
PDF
KEN MCDONALD - GOING FROM 0 TO 10 MILLION CUSTOMERS OR MORE - TOP GROWTH TIPS...
Hilary Ip
 
PPTX
CORTNEY COLE-HALL - FROM ZERO TO HERO
Hilary Ip
 
PDF
JAI SINGH - CUSTOMER CENTRIC GROWTH
Hilary Ip
 
PDF
Aatif Awan, Head of Growth LinkedIn - Growth Hacking is Dead. Long Live Growth.
Traction Conf
 
PDF
Using Your Growth Model to Drive Smarter High Tempo Testing
Sean Ellis
 
PPTX
SalesStash Berkeley 2016
Stanford University
 
PDF
Conversion Optimization with Peep Laja
Ella Quivooij
 
PETER FISHERMAN - GROWTH AND ANALYTICS, APPROACHES TO LEARNING QUICKLY WITH B...
Hilary Ip
 
KEN MCDONALD - GOING FROM 0 TO 10 MILLION CUSTOMERS OR MORE - TOP GROWTH TIPS...
Hilary Ip
 
CORTNEY COLE-HALL - FROM ZERO TO HERO
Hilary Ip
 
JAI SINGH - CUSTOMER CENTRIC GROWTH
Hilary Ip
 
Aatif Awan, Head of Growth LinkedIn - Growth Hacking is Dead. Long Live Growth.
Traction Conf
 
Using Your Growth Model to Drive Smarter High Tempo Testing
Sean Ellis
 
SalesStash Berkeley 2016
Stanford University
 
Conversion Optimization with Peep Laja
Ella Quivooij
 

What's hot (20)

PDF
Lean Analytics - Ben Yoskovitz, Co-author, Lean Analytics & VP Product, Varag...
Traction Conf
 
PDF
Service x berkeley 2015
Stanford University
 
PPTX
Peep Laja_SearchLove London 2013
Distilled
 
PDF
Daria Nepriakhina - Problem-Solution Fit
CXL
 
PPTX
Scaling Authentic Growth - How Product and Marketing Work Together to Drive G...
Sean Ellis
 
PPTX
Startup Marketing Slides from Lean Startup Circle LA
Sean Ellis
 
PPTX
DBA #8 - Data driven design- how to design products with data in a startup
Design Bootcamp Asia
 
PDF
Aliisa Hodges, Mixpanel - 5 Tips on Acquiring Loyal Customers
Traction Conf
 
PDF
[CXL Live 16] From WTF to Hell Yes - How to Come Up With Copy That Persuades ...
CXL
 
PDF
Rebecca Rosenfelt, Growth PM, Airbnb - Productizing Email for Explosive Growth
Traction Conf
 
PDF
Growth Hacking Academy - Growth Hacking Course Launch
David Arnoux . Growth
 
PDF
From Dissastisfied to Evangelist: How to Measure and Manage Your Clients’ Sat...
Nex.to
 
PPTX
Better Insights for Faster Growth by Sean Ellis
GROWtalks
 
PPTX
Conversion Optimization in Practice: BaconBiz 2013
Patrick McKenzie
 
PPT
What we learned building Campaign Monitor
Web Directions
 
KEY
Be a Great Product Leader (HBS ICE 2012)
Adam Nash
 
PPTX
Software Businesses On 5 Hours A Week
Patrick McKenzie
 
PDF
Guido Jansen -How to Involve the Whole Team in Optimization
CXL
 
PDF
[CXL Live 16] Using Urgency to Boost E-commerce Conversions by Viljo Vabrit
CXL
 
PDF
Monika Saha - Key Considerations When Operationalizing Your Pricing Strategy
Price Intelligently
 
Lean Analytics - Ben Yoskovitz, Co-author, Lean Analytics & VP Product, Varag...
Traction Conf
 
Service x berkeley 2015
Stanford University
 
Peep Laja_SearchLove London 2013
Distilled
 
Daria Nepriakhina - Problem-Solution Fit
CXL
 
Scaling Authentic Growth - How Product and Marketing Work Together to Drive G...
Sean Ellis
 
Startup Marketing Slides from Lean Startup Circle LA
Sean Ellis
 
DBA #8 - Data driven design- how to design products with data in a startup
Design Bootcamp Asia
 
Aliisa Hodges, Mixpanel - 5 Tips on Acquiring Loyal Customers
Traction Conf
 
[CXL Live 16] From WTF to Hell Yes - How to Come Up With Copy That Persuades ...
CXL
 
Rebecca Rosenfelt, Growth PM, Airbnb - Productizing Email for Explosive Growth
Traction Conf
 
Growth Hacking Academy - Growth Hacking Course Launch
David Arnoux . Growth
 
From Dissastisfied to Evangelist: How to Measure and Manage Your Clients’ Sat...
Nex.to
 
Better Insights for Faster Growth by Sean Ellis
GROWtalks
 
Conversion Optimization in Practice: BaconBiz 2013
Patrick McKenzie
 
What we learned building Campaign Monitor
Web Directions
 
Be a Great Product Leader (HBS ICE 2012)
Adam Nash
 
Software Businesses On 5 Hours A Week
Patrick McKenzie
 
Guido Jansen -How to Involve the Whole Team in Optimization
CXL
 
[CXL Live 16] Using Urgency to Boost E-commerce Conversions by Viljo Vabrit
CXL
 
Monika Saha - Key Considerations When Operationalizing Your Pricing Strategy
Price Intelligently
 
Ad

Viewers also liked (6)

PPTX
KEN RUDIN - DATA-DRIVEN TACTICS TO DRIVE GROWTH FOR YOUR BUSINESS
Hilary Ip
 
PDF
NAZILA ALASTI - BRAND & GROWTH HACKING - AN OXYMORON?
Hilary Ip
 
PDF
ALEX LE - TO BUILD GREAT PRODUCTS, BUILD THIS STRONG, SCALABLE SYSTEM FIRST
Hilary Ip
 
PPTX
ERIN MILLER - THINK OUTSIDE THE (SUBSCRIPTION) BOX
Hilary Ip
 
PDF
PAMELA WEBBER - LEAN MARKETING TECHNIQUES TO HELP YOU ACCELERATE (AND “HACK”)...
Hilary Ip
 
PDF
STEPHEN KRAUS - WINNING THE INTERNET: HOW THRIVING DIGITAL BRANDS USE MARKET ...
Hilary Ip
 
KEN RUDIN - DATA-DRIVEN TACTICS TO DRIVE GROWTH FOR YOUR BUSINESS
Hilary Ip
 
NAZILA ALASTI - BRAND & GROWTH HACKING - AN OXYMORON?
Hilary Ip
 
ALEX LE - TO BUILD GREAT PRODUCTS, BUILD THIS STRONG, SCALABLE SYSTEM FIRST
Hilary Ip
 
ERIN MILLER - THINK OUTSIDE THE (SUBSCRIPTION) BOX
Hilary Ip
 
PAMELA WEBBER - LEAN MARKETING TECHNIQUES TO HELP YOU ACCELERATE (AND “HACK”)...
Hilary Ip
 
STEPHEN KRAUS - WINNING THE INTERNET: HOW THRIVING DIGITAL BRANDS USE MARKET ...
Hilary Ip
 
Ad

Similar to GOKCE TOMBUL - HOW TO BUILD A SUCCESSFUL EXPERIMENTATION PROGRAM (20)

PDF
UX Lead Product Management
John Wyatt
 
PPTX
Growth Hacking - High Tempo Testing
Tomek Duda
 
PPTX
Lean Startup & Corporate Innovation Strategies - April 2015
Kevin Shutta
 
PDF
What is Product Management ?
Charles Loumeau
 
PDF
How to Create Winning A/B Tests through Stronger Research
VWO
 
PDF
Product Management Guide - A Work In Progress
Hussam Shams
 
PDF
Product vision workshop
Serbian Product Community
 
PDF
Tok Essay Examples 2013. Online assignment writing service.
Elizabeth Johnson
 
PDF
Adam Wesolowski "How to start working on growth?"
IT Event
 
PDF
Hotspot ALPHA Camp_Setting Course with Metrics
ALPHA Camp
 
PDF
Leverage The Power of Small Data
Karyn Zuidinga
 
PPTX
Business Growth Engineering
Dan Russell
 
PDF
Why We Test - Rethinking Your Approach
audreybloemer
 
PDF
Growth Hacking Conference '17 - Antwerp
Thibault Imbert
 
PPTX
Denver Startup Week - Balancing Voices in Product Management
lindsayhunt
 
PPTX
Multi channel journeys inside growth
Skyscanner
 
PDF
How to Present Test Results to Inspire Action
Jason Packer
 
PPT
The Business Model Canvas and Social Impact
Paul Orlando
 
DOCX
Q3 evaluation guidance
ctkmedia
 
PPTX
Making Your Hypothesis Work Harder to Inform Future Product Strategy
Optimizely
 
UX Lead Product Management
John Wyatt
 
Growth Hacking - High Tempo Testing
Tomek Duda
 
Lean Startup & Corporate Innovation Strategies - April 2015
Kevin Shutta
 
What is Product Management ?
Charles Loumeau
 
How to Create Winning A/B Tests through Stronger Research
VWO
 
Product Management Guide - A Work In Progress
Hussam Shams
 
Product vision workshop
Serbian Product Community
 
Tok Essay Examples 2013. Online assignment writing service.
Elizabeth Johnson
 
Adam Wesolowski "How to start working on growth?"
IT Event
 
Hotspot ALPHA Camp_Setting Course with Metrics
ALPHA Camp
 
Leverage The Power of Small Data
Karyn Zuidinga
 
Business Growth Engineering
Dan Russell
 
Why We Test - Rethinking Your Approach
audreybloemer
 
Growth Hacking Conference '17 - Antwerp
Thibault Imbert
 
Denver Startup Week - Balancing Voices in Product Management
lindsayhunt
 
Multi channel journeys inside growth
Skyscanner
 
How to Present Test Results to Inspire Action
Jason Packer
 
The Business Model Canvas and Social Impact
Paul Orlando
 
Q3 evaluation guidance
ctkmedia
 
Making Your Hypothesis Work Harder to Inform Future Product Strategy
Optimizely
 

More from Hilary Ip (20)

PPTX
Living in Color: Carving Out Safe Spaces For Community by Danielle Cadet (Man...
Hilary Ip
 
PPTX
Testing New Revenue Streams by Stefanie Rapp (SVP, Revenue Strategy, Bleacher...
Hilary Ip
 
PDF
Building A New Ecosystem: The Role of Partnerships at an OTT Service by Justi...
Hilary Ip
 
PPTX
How PBS Creates YouTube Series that Educate, Entertain & Inspire by Adam Dyle...
Hilary Ip
 
PPTX
Telling Better Stories Across the Open Web by Adam Greenberg (Sr. Global Prod...
Hilary Ip
 
PPTX
Data Storytelling in the Digital Age by Stephanie Salmon (SVP, Data & Informa...
Hilary Ip
 
PPTX
Seven Steps to Building Out Newsletters by Michael Liss (VP, Product, New Yor...
Hilary Ip
 
PPTX
John M
Hilary Ip
 
PPTX
Maike S
Hilary Ip
 
PPTX
Joe C
Hilary Ip
 
PPTX
Philip R
Hilary Ip
 
PPTX
Michael W
Hilary Ip
 
PPTX
Nick C
Hilary Ip
 
PPTX
Tyler M
Hilary Ip
 
PDF
Estelle Ayer
Hilary Ip
 
PDF
Adrian Gregory
Hilary Ip
 
PDF
Mark Wilson
Hilary Ip
 
PDF
Nathan Jacob
Hilary Ip
 
PDF
Fireside chat slide
Hilary Ip
 
PPTX
Kate Tovey
Hilary Ip
 
Living in Color: Carving Out Safe Spaces For Community by Danielle Cadet (Man...
Hilary Ip
 
Testing New Revenue Streams by Stefanie Rapp (SVP, Revenue Strategy, Bleacher...
Hilary Ip
 
Building A New Ecosystem: The Role of Partnerships at an OTT Service by Justi...
Hilary Ip
 
How PBS Creates YouTube Series that Educate, Entertain & Inspire by Adam Dyle...
Hilary Ip
 
Telling Better Stories Across the Open Web by Adam Greenberg (Sr. Global Prod...
Hilary Ip
 
Data Storytelling in the Digital Age by Stephanie Salmon (SVP, Data & Informa...
Hilary Ip
 
Seven Steps to Building Out Newsletters by Michael Liss (VP, Product, New Yor...
Hilary Ip
 
John M
Hilary Ip
 
Maike S
Hilary Ip
 
Joe C
Hilary Ip
 
Philip R
Hilary Ip
 
Michael W
Hilary Ip
 
Nick C
Hilary Ip
 
Tyler M
Hilary Ip
 
Estelle Ayer
Hilary Ip
 
Adrian Gregory
Hilary Ip
 
Mark Wilson
Hilary Ip
 
Nathan Jacob
Hilary Ip
 
Fireside chat slide
Hilary Ip
 
Kate Tovey
Hilary Ip
 

Recently uploaded (20)

PPTX
Chapter 3 Distributive Negotiation: Claiming Value
badranomar1990
 
PDF
MDR Services – 24x7 Managed Detection and Response
CyberNX Technologies Private Limited
 
PDF
NewBase 24 July 2025 Energy News issue - 1805 by Khaled Al Awadi._compressed...
Khaled Al Awadi
 
PPTX
Appreciations - July 25.pptxsdsdsddddddsssss
anushavnayak
 
PPTX
Virbyze_Our company profile_Preview.pptx
myckwabs
 
PDF
North America’s GSE Market Share Outlook Through 2029.pdf
Amrut47
 
PPTX
Decoding BPMN: A Clear Guide to Business Process Modeling
RUPAL AGARWAL
 
PDF
askOdin - An Introduction to AI-Powered Investment Judgment
YekSoon LOK
 
PDF
2025 07 29 The Future, Backwards Agile 2025.pdf
Daniel Walsh
 
PDF
SparkLabs Primer on Artificial Intelligence 2025
SparkLabs Group
 
PDF
NewBase 26 July 2025 Energy News issue - 1806 by Khaled Al Awadi_compressed.pdf
Khaled Al Awadi
 
PDF
Data Sheet Cloud Integration Platform - dataZap
Chainsys SEO
 
PPTX
Final PPT on DAJGUA, EV Charging, Meter Devoloution, CGRF, Annual Accounts & ...
directord
 
PDF
GenAI for Risk Management: Refresher for the Boards and Executives
Alexei Sidorenko, CRMP
 
PPTX
Final PPT on DAJGUA, EV Charging, Meter Devoloution, CGRF, Annual Accounts & ...
directord
 
PDF
Tariff Surcharge and Price Increase Decision
Joshua Gao
 
PDF
High Capacity Core IC Pneumatic Spec-Sheet
Forklift Trucks in Minnesota
 
PDF
Bihar Idea festival - Pitch deck-your story.pdf
roharamuk
 
PDF
A Complete Guide to Data Migration Services for Modern Businesses
Aurnex
 
PDF
Keppel Ltd. 1H 2025 Results Presentation Slides
KeppelCorporation
 
Chapter 3 Distributive Negotiation: Claiming Value
badranomar1990
 
MDR Services – 24x7 Managed Detection and Response
CyberNX Technologies Private Limited
 
NewBase 24 July 2025 Energy News issue - 1805 by Khaled Al Awadi._compressed...
Khaled Al Awadi
 
Appreciations - July 25.pptxsdsdsddddddsssss
anushavnayak
 
Virbyze_Our company profile_Preview.pptx
myckwabs
 
North America’s GSE Market Share Outlook Through 2029.pdf
Amrut47
 
Decoding BPMN: A Clear Guide to Business Process Modeling
RUPAL AGARWAL
 
askOdin - An Introduction to AI-Powered Investment Judgment
YekSoon LOK
 
2025 07 29 The Future, Backwards Agile 2025.pdf
Daniel Walsh
 
SparkLabs Primer on Artificial Intelligence 2025
SparkLabs Group
 
NewBase 26 July 2025 Energy News issue - 1806 by Khaled Al Awadi_compressed.pdf
Khaled Al Awadi
 
Data Sheet Cloud Integration Platform - dataZap
Chainsys SEO
 
Final PPT on DAJGUA, EV Charging, Meter Devoloution, CGRF, Annual Accounts & ...
directord
 
GenAI for Risk Management: Refresher for the Boards and Executives
Alexei Sidorenko, CRMP
 
Final PPT on DAJGUA, EV Charging, Meter Devoloution, CGRF, Annual Accounts & ...
directord
 
Tariff Surcharge and Price Increase Decision
Joshua Gao
 
High Capacity Core IC Pneumatic Spec-Sheet
Forklift Trucks in Minnesota
 
Bihar Idea festival - Pitch deck-your story.pdf
roharamuk
 
A Complete Guide to Data Migration Services for Modern Businesses
Aurnex
 
Keppel Ltd. 1H 2025 Results Presentation Slides
KeppelCorporation
 

GOKCE TOMBUL - HOW TO BUILD A SUCCESSFUL EXPERIMENTATION PROGRAM

  • 1. HOW TO BUILD A SUCCESSFUL EXPERIMENTATION PROGRAM Gokce Tombul
  • 2. A little bit about me Gokce Tombul Sr. Director of Product, Growth & Discovery
  • 3. A little bit about Udemy We are a marketplace for online courses. Instructors Students
  • 5. Let’s talk about how to build a successful experimentation program.
  • 6. "To invent you have to experiment, and if you know in advance that it's going to work, it's not an experiment.” - Jeff Bezos Image source: huffpost.com
  • 7. - Limited resources - Few experiments per quarter - No clear process - Very little revenue contribution coming from experiments Before
  • 8. - Limited resources - Few experiments per quarter - No clear process - Very little revenue contribution coming from experiments Before - 4 agile teams - 40 - 50 experiments per quarter - Established process - Significant revenue contribution Today
  • 9. Our Approach Step 1: Set Clear Business Metrics
  • 10. Our Approach Step 1: Set Clear Business Metrics Step 2: Ideation
  • 11. Our Approach Step 1: Set Clear Business Metrics Step 2: Ideation Step 3: Prioritization
  • 12. Our Approach Step 1: Set Clear Business Metrics Step 2: Ideation Step 3: Prioritization Step 4: Execution
  • 13. 0
  • 14. This is how I felt Image source: beyondanxietyanddepression.com
  • 15. How did we actually get there? Step 1: Build the Right Process Step 2: Build the Right Team Step 3: Create the Right Culture
  • 16. Step 1: Build the Right Process Image source: 123rf.com
  • 17. Process: The Experimentation Loop Prioritize User Problems Form Hypotheses Gather Data Prioritize Hypotheses Design Build Learn & Improve Test
  • 18. Process: The Experimentation Loop Prioritize User Problems Form Hypotheses Gather Data Prioritize Hypotheses Design Build Learn & Improve Test
  • 19. Gather Data Rely on quantitative data to answer these questions: - How do people use your product? - Where do they get stuck?
  • 20. How Do People Use Your Product: Pathway Analysis
  • 21. Pathway Analysis Traffic Channel Landing Page Discovery Conversion
  • 22. Pathway Analysis Traffic Channel Landing Page Discovery Conversion Note: Does not represent real Udemy numbers 30% Direct 40% SEO 20% Paid Acq
  • 23. Pathway Analysis Traffic Channel Landing Page Discovery Conversion Note: Does not represent real Udemy numbers 30% Direct 40% SEO 20% Paid Acq 70% Product Page 30% Home Page
  • 24. Pathway Analysis Traffic Channel Landing Page Discovery Conversion Note: Does not represent real Udemy numbers 30% Direct 40% SEO 20% Paid Acq 70% Product Page 30% Home Page 20% Search 10% Browse 2% Success Page
  • 25. Pathway Analysis Traffic Channel Landing Page Discovery Conversion 30% Direct 40% SEO 20% Paid Acq 70% Product Page 30% Home Page 1% Success Page20% Search 10% Browse 2% Success Page Note: Does not represent real Udemy numbers
  • 26. How Do People Use Your Product: Funnel Analysis Understand the leakiest parts of your funnel Product Landing Page 1,000,000 Watched the Preview Video 600,000 Created an Account 60,000 Purchased 1,200 60% 10% 2% Note: Does not represent real Udemy numbers
  • 28. 3 Questions to Ask to Figure Out the Right Segment
  • 29. 3 Questions to Ask to Figure Out the Right Segment 1) Which type of users might be using your product differently?
  • 30. 3 Questions to Ask to Figure Out the Right Segment 1) Which type of users might be using your product differently? 2) Which one of these users actually behave differently in your product?
  • 31. 3 Questions to Ask to Figure Out the Right Segment 1) Which type of users might be using your product differently? 2) Which one of these users actually behave differently in your product? 3) Is the segment that’s behaving differently big enough for you to care?
  • 32. 3 Questions to Ask to Figure Out the Right Segment 1) Which type of users might be using your product differently? 2) Which one of these users actually behave differently in your product? 3) Is the segment that’s behaving differently big enough for you to care? For Udemy We ran the pathway analysis and funnel analysis for these user segments: - First time Udemy visitors vs returning visitors - Mobile users vs desktop users - Users coming from different traffic channels - Users coming to buy different category of courses
  • 33. We decided to focus on First time Udemy visitors that landed on one of our product pages and didn’t take any action on the page.
  • 34. Process: The Experimentation Loop Prioritize User Problems Form Hypotheses Gather Data Prioritize Hypotheses Design Build Learn & Improve Test
  • 35. Quantitative data is helpful to understand how users behave
  • 36. Quantitative data is helpful to understand how users behave but it’s not very helpful to understand “why”
  • 37. When users showed exit intent, we asked a simple question: What is preventing you from purchasing this course right now? Qualitative User Research Image source: blog.informizely.com
  • 38. Prioritization of User Problems 1) Start with an open ended survey question to your users. E.g - “What is preventing you from purchasing this course right now?”
  • 39. Prioritization of User Problems 1) Start with an open ended survey question to your users. E.g - “What is preventing you from purchasing this course right now?” 2) Bucket the answers in meaningful categories and this time ask as a multi-choice question. E.g “I will not purchase because the price is not right.” or “I don’t trust Udemy yet”.
  • 40. Top 3 Reasons For Udemy Were - I don’t know if Udemy is the right place to learn this skill. - I don’t understand how this course compares to the other courses. - I don’t know if this course fits my skill level.
  • 41. Now, we are so much more focused The new focus: “We would like to increase Revenue Per Visitor for first time visitors who land on one of our product pages. And we will do that by solving these 3 problems for users” The old focus: “We would like to increase the Revenue Per Visitor.”
  • 42. Process: The Experimentation Loop Prioritize User Problems Form Hypotheses Gather Data Prioritize Hypotheses Design Build Learn & Improve Test
  • 43. Form a clear hypothesis that ties your idea to the problem you are trying to solve. Your hypothesis statement should answer these questions: Form Hypotheses
  • 44. 1) What is the problem you are solving? Form Hypotheses Form a clear hypothesis that ties your idea to the problem you are trying to solve. Your hypothesis statement should answer these questions:
  • 45. 1) What is the problem you are solving? 2) Which user segments have this problem? Form a clear hypothesis that ties your idea to the problem you are trying to solve. Your hypothesis statement should answer these questions: Form Hypotheses
  • 46. 1) What is the problem you are solving? 2) Which user segments have this problem? 3) Is this a real problem? What evidence do we have to support that? Form a clear hypothesis that ties your idea to the problem you are trying to solve. Your hypothesis statement should answer these questions: Form Hypotheses
  • 47. 1) What is the problem you are solving? 2) Which user segments have this problem? 3) Is this a real problem? What evidence do we have to support that? 4) How big is the problem? Form a clear hypothesis that ties your idea to the problem you are trying to solve. Your hypothesis statement should answer these questions: Form Hypotheses
  • 48. Form a clear hypothesis that ties your idea to the problem you are trying to solve. Your hypothesis statement should answer these questions: Form Hypotheses 1) What is the problem you are solving? 2) Which user segments have this problem? 3) Is this a real problem? What evidence do we have to support that? 4) How big is the problem? 5) How are we going to solve the problem
  • 49. Form a clear hypothesis that ties your idea to the problem you are trying to solve. Your hypothesis statement should answer these questions: Form Hypotheses 1) What is the problem you are solving? 2) Which user segments have this problem? 3) Is this a real problem? What evidence do we have to support that? 4) How big is the problem? 5) How are we going to solve the problem 6) How will we know if this experiment succeeds?
  • 50. Hypotheses Template Based on user research, we know that [X] is an important user problem. If we do [Y], we expect to see [this] change. This change should cause an increase in [KPIs].
  • 51. Hypotheses Template Based on user research, we know that [X] is an important user problem. If we do [Y], we expect to see [this] change. This change should cause an increase in [KPIs]. Example: “Based on user research, we know that 40% of first-time visitors are not sure if Udemy is the right place to learn a new skill. If we feature successful student stories on our product pages, we expect to increase the trust of our first-time visitors. This should cause lower bounce rates and increased conversion rates."
  • 52. Process: The Experimentation Loop Prioritize User Problems Form Hypotheses Gather Data Prioritize Hypotheses Design Build Learn & Improve Test
  • 53. Prioritization of Hypotheses 1) ICE Model 2) Build a Customized Criteria for Your Own Business
  • 55. Customized Framework Above the Fold (Y/N) Addressing an issue discovered via user research? (Y/N) Did we have success in a similar experiment before? (Y/N) Confidence (1-5) Ease of Building (1-5) Total Score 1 1 1 5 5 20 0 1 1 4 3 11 1 0 0 3 5 10
  • 56. Process: The Experimentation Loop Prioritize User Problems Form Hypotheses Gather Data Prioritize Hypotheses Design Build Learn & Improve Test
  • 57. Process: The Experimentation Loop Prioritize User Problems Form Hypotheses Gather Data Prioritize Hypotheses Design Build Learn & Improve Test
  • 58. Analyzing the Results Two key questions to answer: 1) Did the experiment solve the user problem? 2) Did solving the user problem move the needle?
  • 59. Record and share your learnings and decide on the next steps
  • 60. Your Success Depends On: 1) How strong your hypotheses are
  • 61. 1) How strong your hypotheses are 2) How strong your prioritization framework is Your Success Depends On:
  • 62. Your Success Depends On: 1) How strong your hypotheses are 2) How strong your prioritization framework is 3) How fast you can move through the cycle
  • 63. Your Success Depends On: 1) How strong your hypotheses are 2) How strong your prioritization framework is 3) How fast you can move through the cycle 4) How much you are learning in each cycle
  • 64. Step 2: Building the Right Team Image source: www.scrumalliance.org
  • 65. The Roles on the Team - The Experiment Owner (Product Manager, Marketer, CRO Expert) - Engineers - User Experience Designer - Data Analyst - Data Scientist - User Researcher
  • 68. To remove dependencies, create dedicated, cross-functional teams with clear decision makers. Image source: www.solstice.com
  • 69. Qualities of a Good Experimenter
  • 75. Step 3: Create the Right Culture Image source: www.halogensoftware.com
  • 77. 8 Out of 10 Experiments Fail
  • 78. Eliminate Fear of Failure Image source: saraohara.com
  • 81. Reward not only wins, but also failed experiments with important learnings
  • 82. It Has Been a Winding Road Image source: www.feco.info
  • 83. This Is How We Started Image source: www.fafsfoundation.org
  • 84. This Is How We Felt Along The Way Image source: www.sportpsychologytoday.com
  • 85. This Is How We Are Feeling Now Image source: www.ntd.tv