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Dan Crow

Songkick: becoming a
data-driven company
whois
Dan Crow
CTO, Songkick
@crowquine

Ten years in Silicon Valley
● Apple
● Verb
● Unicru
● Co-founder: Blurb
Five years at Google
● Google Squared
● Ads and Android
Songkick
We do live music
● Started in 2007
● One of first 10 startups in London
● Tell us who your favorite bands are, we’ll
alert you when they play in your town
● Second largest live music service in the
world
Core product
Boomtown
It’s a rat trap, and you’ve been caught
Where we were
Mid 2010:
● 2M monthly uniques
● Big ball of Ruby mud
● One big dev team
● One release every 2 weeks
● Velocity trending to zero
● Unhappy dev team
But: talent + agile = hope
Simplify the product
After four years our product had accrued cruft
● Complexity in user interface
● Complexity in features
Time to radically trim what we delivered
● What do users actually use?
● What do we need to support core use
cases?
Simplify the technology
Simpler product means:
● Delete a lot of code
● Service-oriented architecture
● Page-component web app model
● Reduced build times
● Continuous integration
● Web apps separated from backends
● Create new apps fast
● Support many more apps
Technology impacts team
Componentized tech means:
● Small, independent teams
● Clear goals
● Clearer roles, e.g. Tech Lead
● Distributed, devolved decision making
● Need for process across teams
Results
●
●
●
●

Build time from 4 hours -> 25 minutes
Developer velocity improved 4x
Site performance improved 2x
User satisfaction increased
○ faster site
○ less cluttered, easier UI
releases per week

The impact
Continuous
deployment
I made my way to the top of the hill...
How it works for us
●
●
●
●
●
●
●
●

Jenkins build server
Ten minute build time
Automatic push to production
Features can accumulate behind flippers
Acceptance testing in production
Manual testing in production with real data
Business metric monitoring
Roll forward
CD workflow
Mostly a cultural change
●
●
●
●
●
●

Quality becomes a dev issue
Whole company must buy in
Business must be willing to break things
Development is a flow, not a cycle
Some people won’t adapt to it
Took us 9 months to do right
Experiments
How to experiment
Everything in a startup is an experiment: your
company, each product, each feature
● Experiments answer a question
○ Don’t present a fully formed feature

● What’s the lowest cost way to the answer?
○ Most experiments fail, so move fast
○ e.g. Do our users want to share? Sharing buttons
that do nothing
How we do it
Multivariate testing environment:
● Feature flippers allow us to direct traffic
● Split traffic across versions A/B/C…
● Use a variety of stats packages to analyze
○ Google Analytics
○ Songkick “skab” package

● Code and design are always thrown away
● Successful experiments = feature rebuild
Again, a cultural change
●
●
●
●
●

Always find the MVE
Be comfortable with lower quality
Get used to experiments failing
Experiment often
Trust your users, not your intuition
Downsides
●
●
●
●
●

Frequently changing user experience
Can get stuck in local minima
Hard to maintain consistency
Stats can be challenging to interpret
You need traffic to make it work
Benefits
●
●
●
●

Only users can tell you what works
Avoids question-asking biases
Ties feature improvements to business goals
Results constantly surprise us
Wrap up
Data is good
Where we are now
●
●
●
●
●
●
●

9M monthly unique users
iPhone and Android app (2M users)
Tourbox - portal for artists
Detour - crowdfunding for concerts
Integrations with Spotify, Foursquare
Comprehensive ticketing product
Smaller dev team, moving faster
In summary
● Getting the technology right is critical
● Experiments are the heart of lean
● It’s always about the culture
○
○
○
○

Hardest thing to change
Takes time and effort
You need everyone to work that way
Has the biggest impact

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How Songkick Became a Data-Driven Company

  • 1. Dan Crow Songkick: becoming a data-driven company
  • 2. whois Dan Crow CTO, Songkick @crowquine Ten years in Silicon Valley ● Apple ● Verb ● Unicru ● Co-founder: Blurb Five years at Google ● Google Squared ● Ads and Android
  • 3. Songkick We do live music ● Started in 2007 ● One of first 10 startups in London ● Tell us who your favorite bands are, we’ll alert you when they play in your town ● Second largest live music service in the world
  • 5. Boomtown It’s a rat trap, and you’ve been caught
  • 6. Where we were Mid 2010: ● 2M monthly uniques ● Big ball of Ruby mud ● One big dev team ● One release every 2 weeks ● Velocity trending to zero ● Unhappy dev team But: talent + agile = hope
  • 7. Simplify the product After four years our product had accrued cruft ● Complexity in user interface ● Complexity in features Time to radically trim what we delivered ● What do users actually use? ● What do we need to support core use cases?
  • 8. Simplify the technology Simpler product means: ● Delete a lot of code ● Service-oriented architecture ● Page-component web app model ● Reduced build times ● Continuous integration ● Web apps separated from backends ● Create new apps fast ● Support many more apps
  • 9. Technology impacts team Componentized tech means: ● Small, independent teams ● Clear goals ● Clearer roles, e.g. Tech Lead ● Distributed, devolved decision making ● Need for process across teams
  • 10. Results ● ● ● ● Build time from 4 hours -> 25 minutes Developer velocity improved 4x Site performance improved 2x User satisfaction increased ○ faster site ○ less cluttered, easier UI
  • 12. Continuous deployment I made my way to the top of the hill...
  • 13. How it works for us ● ● ● ● ● ● ● ● Jenkins build server Ten minute build time Automatic push to production Features can accumulate behind flippers Acceptance testing in production Manual testing in production with real data Business metric monitoring Roll forward
  • 15. Mostly a cultural change ● ● ● ● ● ● Quality becomes a dev issue Whole company must buy in Business must be willing to break things Development is a flow, not a cycle Some people won’t adapt to it Took us 9 months to do right
  • 17. How to experiment Everything in a startup is an experiment: your company, each product, each feature ● Experiments answer a question ○ Don’t present a fully formed feature ● What’s the lowest cost way to the answer? ○ Most experiments fail, so move fast ○ e.g. Do our users want to share? Sharing buttons that do nothing
  • 18. How we do it Multivariate testing environment: ● Feature flippers allow us to direct traffic ● Split traffic across versions A/B/C… ● Use a variety of stats packages to analyze ○ Google Analytics ○ Songkick “skab” package ● Code and design are always thrown away ● Successful experiments = feature rebuild
  • 19. Again, a cultural change ● ● ● ● ● Always find the MVE Be comfortable with lower quality Get used to experiments failing Experiment often Trust your users, not your intuition
  • 20. Downsides ● ● ● ● ● Frequently changing user experience Can get stuck in local minima Hard to maintain consistency Stats can be challenging to interpret You need traffic to make it work
  • 21. Benefits ● ● ● ● Only users can tell you what works Avoids question-asking biases Ties feature improvements to business goals Results constantly surprise us
  • 23. Where we are now ● ● ● ● ● ● ● 9M monthly unique users iPhone and Android app (2M users) Tourbox - portal for artists Detour - crowdfunding for concerts Integrations with Spotify, Foursquare Comprehensive ticketing product Smaller dev team, moving faster
  • 24. In summary ● Getting the technology right is critical ● Experiments are the heart of lean ● It’s always about the culture ○ ○ ○ ○ Hardest thing to change Takes time and effort You need everyone to work that way Has the biggest impact