Metrics
drIVEN
DEVELOPMENT
Aaron Quint / Scottish Ruby Conf / June 2012
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In a data-less world
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It’s me, @AQ
HeYO
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• Food Obsessed (CodeFoodBar)
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• Food Obsessed (CodeFoodBar)
• Open Source Ruby & JS (Sammy.js, et al)
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• Food Obsessed (CodeFoodBar)
• Open Source Ruby & JS (Sammy.js, et al)
• Bicoastal (Brooklyn, NY <-> Berkeley, CA)
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• Food Obsessed (CodeFoodBar)
• Open Source Ruby & JS (Sammy.js, et al)
• Bicoastal (Brooklyn, NY <-> Berkeley, CA)
• Very excited to be here
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• Food Obsessed (CodeFoodBar)
• Open Source Ruby & JS (Sammy.js, et al)
• Bicoastal (Brooklyn, NY <-> Berkeley, CA)
• Very excited to be here
• twitter: @aq
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• Food Obsessed (CodeFoodBar)
• Open Source Ruby & JS (Sammy.js, et al)
• Bicoastal (Brooklyn, NY <-> Berkeley, CA)
• Very excited to be here
• twitter: @aq
• github: quirkey
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CTO of
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Chief Taco Officer
CTO of
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www.paperlesspost.com
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A lot of these ideas and
implementations are theirs.
Amazing team.
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METRICS
METRICS
METRICS
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If you’re not improving your product,
what are you doing?
System metrics
==
PRoduct Metrics
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The spiel
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Measure
Experiment
Pivot
Metrics
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Measure
Experiment
Pivot
Metrics
#winning
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WTF is going on
MEASURE
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Make changes,
users are like WTF
Experiment
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Take the best result
and change WTF is going on
Pivot
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The data you collect in
_every_ step
Metrics
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The Way
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Moving the needle
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Continuous
Delivery
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Continuous
Process
Delivery
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Continuous
Process
DeliveryTM
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Moving the needle
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Moving the needle
1. Measure Everything
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Moving the needle
1. Measure Everything
2. Set Goal metrics attached to each
feature/deploy
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Moving the needle
1. Measure Everything
2. Set Goal metrics attached to each
feature/deploy
3. Build & Roll out in chunks
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Moving the needle
1. Measure Everything
2. Set Goal metrics attached to each
feature/deploy
3. Build & Roll out in chunks
4. Regroup and analyze
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Seriously, everything
1. Measure everything
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What happened vs What’s happening
Absolute vs Relative
Accounting
vs
Trending
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Key Performance Indicators
Accounting = KPI’s
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It’s in your database
the data is there
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KPI’s
• From the existing database
• PLPSQL
• Run nightly, offline
• Ad Hoc
• Returns fixed (absolute) data, saved
back to a database
• About the numbers
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Pretty pictures.
TRends
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TRends
• Redis backed
• Low impact
• Time series, fading resolution
• GRAPHS
• About the relative differences,
actual numbers may be incorrect
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NEW SHIT
or new to us and maybe you
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Statsd +
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Statsd +
Graphite +
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graphiti
Statsd +
Graphite +
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gh://etsy/statsd
gh://paperlesspost/statsd
gh://github/statsd-ruby
Statsd
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An alternate frontend for graphite,
optimized for play and discovery
gh://paperlesspost/graphiti
Graphiti
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Graphiti
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Graphiti
• Sinatra, Sammy, Redis
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Graphiti
• Sinatra, Sammy, Redis
• Graphs stored as JSON in Redis
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Graphiti
• Sinatra, Sammy, Redis
• Graphs stored as JSON in Redis
• Ace Editor for Play/editing
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Graphiti
• Sinatra, Sammy, Redis
• Graphs stored as JSON in Redis
• Ace Editor for Play/editing
• Named Dashboards are collections
of graphs
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Graphiti
• Sinatra, Sammy, Redis
• Graphs stored as JSON in Redis
• Ace Editor for Play/editing
• Named Dashboards are collections
of graphs
• WIP
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Attached to Specs/Issues
2. SET Goal metrics
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Terminology TANGENT
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Terminology TANGENT
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• Accounts create Events
Terminology TANGENT
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• Accounts create Events
• Events have a Card
Terminology TANGENT
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• Accounts create Events
• Events have a Card
• Card [customizations] are paid for
with Coins
Terminology TANGENT
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• Accounts create Events
• Events have a Card
• Card [customizations] are paid for
with Coins
• Events send to Guests
Terminology TANGENT
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• Accounts create Events
• Events have a Card
• Card [customizations] are paid for
with Coins
• Events send to Guests
• Guests Reply to Events
Terminology TANGENT
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Quantitative
vs
Qualitative
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How good your product is.
qualitative
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Events created per Account
Guests added per Event
Coins used per Event
A single value
measured on
a per n axis
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Quality
is the
velocity
of our product
growth
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How big your funnel is.
Quantitative
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% of Accounts that enter the create tool
% of Guests that leave a comment
% of Events sent with coins
A number value
measured in a %
change over time
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QUANTITY
is the
ACCELERATION
of our product
growth
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Quantitative
vs
Qualitative
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Quantitative
X
Qualitative
GROWTH
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A feature can touch both,
but in practice it doesn’t.
Pick ONE type
And a FEW
metrics
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Attach them
to the spec
or issue
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Duh, you guys know Ruby, this part is easy.
3. Build &
Roll OUt in Chunks
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if current_account_has_feature? :hybrid
# show the hybrid
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Daily, Weekly, Obsessive Checking
Report along the way
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Was our hunch correct.
4. roundup and report
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And no negative change.
Numbers are important
but most important is
any positive change
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Making sure everyone knows what did go
right, and what opportunities there are to
improve.
Roundup meetings
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5. ProfIt?
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Still early days
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The good
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The good
• For certain features, it can bring
laser focus to the goals.
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The good
• For certain features, it can bring
laser focus to the goals.
• The separation of the Q’s has
brought a lot of clarity to what we’re
actually trying to change.
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The good
• For certain features, it can bring
laser focus to the goals.
• The separation of the Q’s has
brought a lot of clarity to what we’re
actually trying to change.
• Can inspire and give a clear goal to
developers.
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The opportunities
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The opportunities
• Can be dangerous if people focus
on the wrong goals.
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The opportunities
• Can be dangerous if people focus
on the wrong goals.
• Hard to actually test features in
isolation.
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The opportunities
• Can be dangerous if people focus
on the wrong goals.
• Hard to actually test features in
isolation.
• Some metrics are much harder to
measure accurately.
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The opportunities
• Can be dangerous if people focus
on the wrong goals.
• Hard to actually test features in
isolation.
• Some metrics are much harder to
measure accurately.
• Teams need more mid-process
visibility in to goals.
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We’re gathering
metrics about how
metrics driven
works NOW
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IT’s going pretty well.
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github.com/quirkey
twitter.com/aq
quirkey.com
paperlesspost.com
THANKS!
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