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TheUnreasonableEffectivenessofProductSense
ShubhaNabar,SalesforceEinstein
Background
• SeniorDirector,DataScience,Salesforce
• StaffDataScientist,LinkedIn
• EngineeringManager,Microsoft
• Ph.D.,StanfordUniversity,2008
Outline
• Dataproductmyths
• Buildingproductsense
Myth#1
Dataproductsareaboutdisplayingdata!
10%40%
50%
LeftTurnStraightAheadRightTurn
50%GoStraight
LeftTurn StraightAhead RightTurn
50%
LiveTraffic i
LeftTurn StraightAhead RightTurn
50%
WeekendTraffic i
LeftTurn StraightAhead RightTurn
50%
WeekdayTraffic i
LeftTurn StraightAhead RightTurn
50%
Sunny i
LeftTurn StraightAhead RightTurn
50%
Raini
0
10
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Jan Feb Mar Apr May Jun Jul Aug Sep Oct Nov Dec
LeftTurnStraightAheadRightTurn
MonthlyBreakdowni
DataProduct
Usedatatoprovidehighlypersonalizedexperiencesandtangiblevaluetousers.
Myth#1
Dataproductsareaboutdisplayingdata!
Myth#2
Userswillbehaveasexpected
Myth#2
Userswillbehaveasexpected
Myth#3
Optimizeforclicks
“Leftunchecked,alloptimizationleadstogamblingandporn.”
Myth#3
Optimizeforclicks
Myth#4
Complexalgorithmsbeatsimplealgorithms
TweetProcessor
Tweet
Nam
e
Handle
Date
GenderClassifier
@mentions
M/F
Graph
HandleFriends
FeatureVector
TravelManifest BookingCode
SentimentAnalysis
Tweetstream Queue
EntityResolution
Myth#4
Complexalgorithmsbeatsimplealgorithms
Myth#5
Userswanttoconfigurethingsforthemselves
Myth#5
Userswanttoconfigurethingsforthemselves
ProductSense
• Knowingwhattobuildandwhy.
• Knowingyourusers.
• Userfirstapproachtrumpsmachinelearningfirstapproach!
BuildingProductSense
Intuition?
LearnByDoing
TalktoUsers
TalktoUsers
TalktoUsers
EatYourOwnDogfood
KnowtheCompetitiveLandscape
BeDataDriven
BeDataDriven
AbandonedQueries
SpellingMistakes
NotinIndex
QueryUnderstanding
Ranking
ThankYou!
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