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What Does Data Science Mean for Product
Managers by Grindr PM
www.productschool.com
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Include @productschool and #prodmgmt at the
end of your tweet
Tweet to get a free ticket
for our next Event!
CJ Harvey
Suggested for You
Beta Test Update!
CJ Harvey, Associate Director
January 2017
*CONFIDENTIAL 12.15.15
#authenticity Mission Statement
1
0
How might we suggest matches to Grindr users
that will result in new conversation pairs
and increase engagement for our users?
How I Learned to Love Chris Hardwick (and Jenny McCarthy)
1
1
Chris and Jenny Execute a Heuristic Filter
1
2
DEFINE ”THE ONE”
Determine what a user’s preferences based on
median and modal demographic values
What’s the average age of a user CJ taps?
What’s the body type CJ responds to most often?
Find users that have profile fields included in CJ’s
preferences and rank them according to the
strength of the match
Which guys are a good match, based on CJ’s
demonstrated demographic preferences?
FIND 100 OF ‘EM!
Generating the Preference Profile with Chris!
1
3
DEFINE ENGAGEMENT
• Conversations initiated
• Inbound conversations responded-to
• Extended profile viewed
• Taps sent, Favorites set
AGGREGATE BY PROFILE FIELDS
• Age, Height, Weight
• Body Type, Ethnicity
• Position, Relationship Status, Tribes
Coming soon!
• Looking for
• Gender Identity
• Status & Last Tested
Picking and Ranking Matches with Jenny!
1
4
DEFINE THE TARGET USERS AND AREA
• Must be an engaged user in the past month Look
at all geohash5s a user has traveled through in
the past 30 days
• Engagement = app open + cascade OR inbox
view
• Consider any user who also has location data in
those geohash5s potential matches
DO THE MATH
• Find all profiles that have at least four demographic
features in common with the target preferences
• Rank the recommendations by the number of
features shared with the target preferences
Let’s Play!
1
5
Category 1 :: Leading Men
TYRION LANISTER
How tall do you
have to be to get
on this ride?
TED MOSBY
RUPAUL
HEIGHT 5’7 or less
5’8 – 6’
6’1 and up
Category 1 :: Leading Men
TYRION LANISTER
How tall do you
have to be to get
on this ride?
TED MOSBY
RUPAUL
HEIGHT 5’7 or less
5’8 – 6’
6’1 and up
Category 2 :: Cruisy Spots
INSTAGRAM
Where would CJ
most likely pick
up a date?
URTH CAFE
IHOP
18 - 28
29 - 40
41+
AGE
Category 2 :: Cruisy Spots
INSTAGRAM
Where would CJ
most likely pick
up a date?
URTH CAFE
IHOP
18 - 28
29 - 40
41+
AGE
Category 3 :: Lovesongs
1DIRECTION
Based solely on
their bodies,
which band would
be CJ’s favorite?
98 DEGREES
BIGGIE SMALLS
Slim,
Average
Toned, Muscular
Stocky,
Large
BODY
TYPE
Category 3 :: Lovesongs
1DIRECTION
Based solely on
their bodies,
which band would
be CJ’s favorite?
98 DEGREES
BIGGIE SMALLS
Slim,
Average
Toned, Muscular
Stocky,
Large
BODY TYPE
TLDR :: Meet Your Match!
18 - 28
AGE
HEIGHT
WEIGHT
LOOKING FOR
5’7 – 5’9
158 - 182
WHITE, LATINO,
MIXED
BODY TYPE
POSITION
TONED, MUSCULAR
VERSATILE,
BOTTOM
ETHNICITY
RIGHT NOW
FRIENDS
COME TO THE FRONT IF YOU MATCH FOUR OR MORE OF CJ’S PREFS!
That Was Fun … Now Show Me the D
CONTROL FRESH SUGGESTED
App Opens
Inbox Views
Inbound Comm
19
16
6
32
31
16
167%
189%
264%
43
31
9
226%
189%
150%
# # % Control # % Control
Metrics represent per user per day averages
2MM Certified Fresh
264%
20K SFY Beta6MM MAU
Fresh Faces and Suggested for You content on the home screen drive a
MULTIPLIER EFFECT with basic engagement metrics
Users GET IT and WANT MORE
2
4
How would you feel if Grindr made these personalized suggestions a
PERMANENT part of your app?
I’d Love
It
34%
I’d Expect It
13%
I Am Neutral
27%
I’d Tolerate It
13%
I’d Dislike It
13%
Next Season …
2
5
CHRIS starts analyzing, LOOKING
FOR, gender identity, and sexual health
data, and analyzing the importance of
each
@nerdist RULEZ!
JENNY makes sure your matches have
compatible POSITION preferences,
and eject anyone more than 10 miles
away.
thanks, sex-kitten
#authenticity Mission Statement
2
6
How might we suggest matches to Grindr users
that will result in new conversation pairs
and increase engagement for our users?
Analyze behavioral patterns and deliver
15 profiles that match a users preferences,
rank them by strength of match,
filter by key engagement features like position,
and only show guys
NEARBY AND ONLINE NOW!
👋🏾
2
7
Guillermo Alvarez
Javier Alvarez
… no relación
Francisco Rossi
Leslie Arizaga
Martin Brude
Nicolas Quartieri
Mehdi EnNajjari
Evelina Rodriguez
Part-time Product Management Courses
in San Francisco, Silicon Valley, Los
Angeles, New York, Austin, Boston, Seattle,
Chicago, Denver, London, Toronto
www.productschool.com

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What Does Data Science Mean for Product Managers by Grindr PM

  • 1. What Does Data Science Mean for Product Managers by Grindr PM www.productschool.com
  • 2. FREE INVITE Join 20,000+ Product Managers on productschool.com/slack-community
  • 7. Include @productschool and #prodmgmt at the end of your tweet Tweet to get a free ticket for our next Event!
  • 9. Suggested for You Beta Test Update! CJ Harvey, Associate Director January 2017 *CONFIDENTIAL 12.15.15
  • 10. #authenticity Mission Statement 1 0 How might we suggest matches to Grindr users that will result in new conversation pairs and increase engagement for our users?
  • 11. How I Learned to Love Chris Hardwick (and Jenny McCarthy) 1 1
  • 12. Chris and Jenny Execute a Heuristic Filter 1 2 DEFINE ”THE ONE” Determine what a user’s preferences based on median and modal demographic values What’s the average age of a user CJ taps? What’s the body type CJ responds to most often? Find users that have profile fields included in CJ’s preferences and rank them according to the strength of the match Which guys are a good match, based on CJ’s demonstrated demographic preferences? FIND 100 OF ‘EM!
  • 13. Generating the Preference Profile with Chris! 1 3 DEFINE ENGAGEMENT • Conversations initiated • Inbound conversations responded-to • Extended profile viewed • Taps sent, Favorites set AGGREGATE BY PROFILE FIELDS • Age, Height, Weight • Body Type, Ethnicity • Position, Relationship Status, Tribes Coming soon! • Looking for • Gender Identity • Status & Last Tested
  • 14. Picking and Ranking Matches with Jenny! 1 4 DEFINE THE TARGET USERS AND AREA • Must be an engaged user in the past month Look at all geohash5s a user has traveled through in the past 30 days • Engagement = app open + cascade OR inbox view • Consider any user who also has location data in those geohash5s potential matches DO THE MATH • Find all profiles that have at least four demographic features in common with the target preferences • Rank the recommendations by the number of features shared with the target preferences
  • 16. Category 1 :: Leading Men TYRION LANISTER How tall do you have to be to get on this ride? TED MOSBY RUPAUL HEIGHT 5’7 or less 5’8 – 6’ 6’1 and up
  • 17. Category 1 :: Leading Men TYRION LANISTER How tall do you have to be to get on this ride? TED MOSBY RUPAUL HEIGHT 5’7 or less 5’8 – 6’ 6’1 and up
  • 18. Category 2 :: Cruisy Spots INSTAGRAM Where would CJ most likely pick up a date? URTH CAFE IHOP 18 - 28 29 - 40 41+ AGE
  • 19. Category 2 :: Cruisy Spots INSTAGRAM Where would CJ most likely pick up a date? URTH CAFE IHOP 18 - 28 29 - 40 41+ AGE
  • 20. Category 3 :: Lovesongs 1DIRECTION Based solely on their bodies, which band would be CJ’s favorite? 98 DEGREES BIGGIE SMALLS Slim, Average Toned, Muscular Stocky, Large BODY TYPE
  • 21. Category 3 :: Lovesongs 1DIRECTION Based solely on their bodies, which band would be CJ’s favorite? 98 DEGREES BIGGIE SMALLS Slim, Average Toned, Muscular Stocky, Large BODY TYPE
  • 22. TLDR :: Meet Your Match! 18 - 28 AGE HEIGHT WEIGHT LOOKING FOR 5’7 – 5’9 158 - 182 WHITE, LATINO, MIXED BODY TYPE POSITION TONED, MUSCULAR VERSATILE, BOTTOM ETHNICITY RIGHT NOW FRIENDS COME TO THE FRONT IF YOU MATCH FOUR OR MORE OF CJ’S PREFS!
  • 23. That Was Fun … Now Show Me the D CONTROL FRESH SUGGESTED App Opens Inbox Views Inbound Comm 19 16 6 32 31 16 167% 189% 264% 43 31 9 226% 189% 150% # # % Control # % Control Metrics represent per user per day averages 2MM Certified Fresh 264% 20K SFY Beta6MM MAU Fresh Faces and Suggested for You content on the home screen drive a MULTIPLIER EFFECT with basic engagement metrics
  • 24. Users GET IT and WANT MORE 2 4 How would you feel if Grindr made these personalized suggestions a PERMANENT part of your app? I’d Love It 34% I’d Expect It 13% I Am Neutral 27% I’d Tolerate It 13% I’d Dislike It 13%
  • 25. Next Season … 2 5 CHRIS starts analyzing, LOOKING FOR, gender identity, and sexual health data, and analyzing the importance of each @nerdist RULEZ! JENNY makes sure your matches have compatible POSITION preferences, and eject anyone more than 10 miles away. thanks, sex-kitten
  • 26. #authenticity Mission Statement 2 6 How might we suggest matches to Grindr users that will result in new conversation pairs and increase engagement for our users? Analyze behavioral patterns and deliver 15 profiles that match a users preferences, rank them by strength of match, filter by key engagement features like position, and only show guys NEARBY AND ONLINE NOW!
  • 27. 👋🏾 2 7 Guillermo Alvarez Javier Alvarez … no relación Francisco Rossi Leslie Arizaga Martin Brude Nicolas Quartieri Mehdi EnNajjari Evelina Rodriguez
  • 28. Part-time Product Management Courses in San Francisco, Silicon Valley, Los Angeles, New York, Austin, Boston, Seattle, Chicago, Denver, London, Toronto www.productschool.com