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The story of the Product
Growth team at Atlassian
Ilias Flaounas
Sr. Data Scientist
!
!
!
!
Web Analytics Meetup, Sydney
14 October 2015
Atlassian - Trivia
• Atlassian is an Australian enterprise software
company specialised in products that support
project management and collaboration.
• ~13 years old
• >1.5K employees
• Headquarters in Sydney
• Best place to work in Australia (2014 & 2015)

(The Australian Financial Review)
Key Requirements:!
• Support from upper
management!
• Some minimum critical
mass of customers!
• Serious investment

in infrastructure,
people,

time
Product Growth Team
• 18 members (from initially 6 members
on 2013)
• Main mission: Increase Active Users!
• How? 

* Discover value in behavioural data

* Experiment

* Suggest improvements!
• Champion data-driven decision making
Reed
Johnson
Ilias
Flaounas
Stephen
Lee
Shaun
Clowes
Graeme
Smith
Tim
Garnsey
Fardin
Sarker
Theo
Voronov
Herman
Chow
Leo
Balan
Rob
Sangster
Andrew
Wakeling
Martin
Smyrk
Houda
Chehab
Lakshan
Perera
Isabelle
Flores
Antony
Russel
Benjamin
Humphrey
Where do we fit in the org?
A kind of stretched analogy…
Patient User
Illness
Bad User
Experience
Medical doctor Product manager
Diagnosis Interviews, surveys…
Treatment UX modification
Medical researchers Growth team
Observations Data mining
Medical trials A/B tests
Ethics Privacy Policy
Evidence-based

medicine
Data-driven

development
The Challenges
• Build infrastructure!
- break data silos
- replace existing “solutions”
- improve data quality
- add instrumentation
We analyse the behavioural data
Timestamp Instance User Event Attributes
1356958862 abcd2134abcd AB12FF89 Login
1356968863 abcd2134abcd DA99A11 Login
1356978862 abcd2134abcd AB12FF89 dashboard view
1356988862 abcd2134abcd DA99A11 dashboard view
1357884442 abcd2134abcd FF12FF89 view issue {issueID = 1234}
1357956862 abcd2134abcd AB12FF89 create issue {issueID = 1000}
1357957862 abcd2134abcd DA99A11 view issue {issueID = 1000}
1357958862 abcd2134abcd DA99A11 comment issue {issueID = 1000}
1357959862 abcd2134abcd AB12FF89 create issue {issueID = 1001}
… … … … …
Analytics Infrastructure (v.2)
On 2014:!
~3-4TB overall (highly compressed)!
800GB per day produced (uncompressed)
• Build infrastructure!
- break data silos
- replace existing “solutions”
- add instrumentation
- improve data quality
• Cultural change & Education!
- help people ask the correct
questions!
- challenge gut feelings!
- “analytics is counting”
The Challenges
Help people ask the correct questions…
Help people ask the correct questions…
Report 1
Report 2
Report 3
Report 4
Report 5
Report 6
Report 7
Report 8
Report 9
No usage
No usage Low usage
No usage Low usage Medium usage High usage
Deal with gut feelings & common sense…
How Common Sense Fails
Duncan Watts, 2011
κοινὴ αἲσθησις
Aristotle, 384–322 BCE
Correlation & Causality
• Source: P. Chopra, The ultimate guide to A/B testing, 

http://www.smashingmagazine.com, 2010
Voting time: Raise your Left or Right hand for the version that
worked best; No hand if you believe there’s no difference
Subject:
%%first_name%%, assemble the
bitbucketeers!
Subject:
Grab the Bitbucketeers...4, 3, 2, 1
LAUNCH!
Voting time: Raise your Left or Right hand for the version that
worked best; No hand if you believe there’s no difference
Voting time: Raise your Right hand for success; Left hand for failure;
No hand if you believe there’s no difference
Voting time: Raise your Right for success; Left hand for failure;
No hand if you believe there’s no difference
Voting time: Raise your Right hand for success; Left hand for failure;
No hand if you believe there’s no difference
Deal with “Analytics is counting”…
X. Fu & H. Asorey, “Data driven product Innovation”, Tutorials, KDD 2015
We are completing a transition…
• Phase A: Data scientists as Owners
• Phase B: Data scientists as a Service
• Phase C: Data scientists as Partners
Take away message
• Becoming data-driven is hard
• Cultural change is the key challenge

- More difficult than the engineering part
• The transition is a marathon not a sprint
• There’s no common sense, thus potential is high
Thank you!

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The story of the Product Growth team at Atlassian

  • 1. The story of the Product Growth team at Atlassian Ilias Flaounas Sr. Data Scientist ! ! ! ! Web Analytics Meetup, Sydney 14 October 2015
  • 2. Atlassian - Trivia • Atlassian is an Australian enterprise software company specialised in products that support project management and collaboration. • ~13 years old • >1.5K employees • Headquarters in Sydney • Best place to work in Australia (2014 & 2015)
 (The Australian Financial Review)
  • 3.
  • 4.
  • 5.
  • 6. Key Requirements:! • Support from upper management! • Some minimum critical mass of customers! • Serious investment
 in infrastructure, people,
 time
  • 7. Product Growth Team • 18 members (from initially 6 members on 2013) • Main mission: Increase Active Users! • How? 
 * Discover value in behavioural data
 * Experiment
 * Suggest improvements! • Champion data-driven decision making
  • 9.
  • 10.
  • 11.
  • 12.
  • 13.
  • 14. Where do we fit in the org? A kind of stretched analogy… Patient User Illness Bad User Experience Medical doctor Product manager Diagnosis Interviews, surveys… Treatment UX modification Medical researchers Growth team Observations Data mining Medical trials A/B tests Ethics Privacy Policy Evidence-based
 medicine Data-driven
 development
  • 15. The Challenges • Build infrastructure! - break data silos - replace existing “solutions” - improve data quality - add instrumentation
  • 16. We analyse the behavioural data Timestamp Instance User Event Attributes 1356958862 abcd2134abcd AB12FF89 Login 1356968863 abcd2134abcd DA99A11 Login 1356978862 abcd2134abcd AB12FF89 dashboard view 1356988862 abcd2134abcd DA99A11 dashboard view 1357884442 abcd2134abcd FF12FF89 view issue {issueID = 1234} 1357956862 abcd2134abcd AB12FF89 create issue {issueID = 1000} 1357957862 abcd2134abcd DA99A11 view issue {issueID = 1000} 1357958862 abcd2134abcd DA99A11 comment issue {issueID = 1000} 1357959862 abcd2134abcd AB12FF89 create issue {issueID = 1001} … … … … …
  • 17. Analytics Infrastructure (v.2) On 2014:! ~3-4TB overall (highly compressed)! 800GB per day produced (uncompressed)
  • 18.
  • 19.
  • 20.
  • 21. • Build infrastructure! - break data silos - replace existing “solutions” - add instrumentation - improve data quality • Cultural change & Education! - help people ask the correct questions! - challenge gut feelings! - “analytics is counting” The Challenges
  • 22. Help people ask the correct questions…
  • 23. Help people ask the correct questions… Report 1 Report 2 Report 3 Report 4 Report 5 Report 6 Report 7 Report 8 Report 9
  • 24.
  • 26. No usage Low usage
  • 27. No usage Low usage Medium usage High usage
  • 28. Deal with gut feelings & common sense… How Common Sense Fails Duncan Watts, 2011 κοινὴ αἲσθησις Aristotle, 384–322 BCE
  • 30. • Source: P. Chopra, The ultimate guide to A/B testing, 
 http://www.smashingmagazine.com, 2010
  • 31. Voting time: Raise your Left or Right hand for the version that worked best; No hand if you believe there’s no difference
  • 32. Subject: %%first_name%%, assemble the bitbucketeers! Subject: Grab the Bitbucketeers...4, 3, 2, 1 LAUNCH! Voting time: Raise your Left or Right hand for the version that worked best; No hand if you believe there’s no difference
  • 33. Voting time: Raise your Right hand for success; Left hand for failure; No hand if you believe there’s no difference
  • 34. Voting time: Raise your Right for success; Left hand for failure; No hand if you believe there’s no difference
  • 35. Voting time: Raise your Right hand for success; Left hand for failure; No hand if you believe there’s no difference
  • 36. Deal with “Analytics is counting”…
  • 37. X. Fu & H. Asorey, “Data driven product Innovation”, Tutorials, KDD 2015 We are completing a transition… • Phase A: Data scientists as Owners • Phase B: Data scientists as a Service • Phase C: Data scientists as Partners
  • 38. Take away message • Becoming data-driven is hard • Cultural change is the key challenge
 - More difficult than the engineering part • The transition is a marathon not a sprint • There’s no common sense, thus potential is high