This document proposes a design for Zoosk to enable its users who are in relationships to act as matchmakers by proposing matches between their single friends. It outlines three phases of implementation: (1) allowing matches between existing Zoosk users, (2) extending matches to friends on Facebook not on Zoosk, and (3) full matches on Facebook without a Zoosk profile. The goal is to keep engaged couples invested in Zoosk by facilitating a favorite activity of matchmaking, while also potentially drawing in new users through their social networks. Scenarios and considerations are provided for each phase to leverage human connections to create more effective and trusted matches than algorithms alone.
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Zoosk RDSC Challenge.
1. Turning ?
Users in to ?
Matchmakers
A project for Zoosk Alisa Avigan, Jiaqi Li + Steve Voyk
2. Currently, Zoosk only helps those who want to date either for fun or for
the purpose of forming a relationship.
Romantic Timeline
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3. How can Zoosk begin to guide its users during the other phases of the
"Romantic Timeline?"
Romantic Timeline
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? ?
4. Our design focuses on how Zoosk can begin to service the post-dating
phase of the "Romantic Timeline" to enhance users' relationships +
keep couples engaged on Zoosk.
Keeping Couples Engaged
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5. Keeping Couples Engaged
? Many couples have friends who are single
? ... And they love setting them up!
? Why? Because they get to spread the love +
happiness they're experiencing to their friends.
6. Keeping Couples Engaged
? Zoosk can keep couples engaged by facilitating
one of their favorite activities - matchmaking!
? Our design prescribes that Zoosk enable its
users to propose matches to friends.
7. Why this Design?
For Zoosk For Users
? Keeps users in relationships engaged
"
? Matchmakers can potentially draw in
new Zoosk users through using Zoosk to
match Facebook friends who aren't
already on Zoosk.
"
? A human perspective complements the
behavioral matching algorithms to make
more effective + trusted matches
? Users can experience the joy of setting up
their friends
"
? Matches proposed by friends are more
trusted and valued than those proposed by
an algorithm, because friends can generally
learn you better than a machine
"
? People prefer to date those who are within
their social circles due to perceived safety +
common ground
11. Julie Matt
Julie and Matt met through Zoosk. Julie thinks Matt is a good guy, but she just doesn't feel the spark.
12. Julie then met another guy through Zoosk and they started dating. She's really happy.
13. Then Julie thinks about her good friend Ashley, who is also using Zoosk now. "Ashley and Matt might like
each other since they have the same sense of humor!"
14. So Julie goes to the "Matchmaker" tab in Zoosk. She sees all her facebook friends that use Zoosk as well as
her Zoosk Connections. She selects Matt from the list.
15. Then she is prompted to choose who she wants to set Matt up with. She searches for her friend Ashley -
who is both a Facebook friend + Zoosk user - and selects her.
16. She writes separate + personalized messages to both Matt and Ashley, explaining why she thinks they
would make a great match! Then she sends out the matchup invitation!
17. Ashley + Matt both see that they have a new message in their "First Messages" tab.
18. After reading the message from Julie and looking at Ashley's pro?le, Matt's interest is peaked. Ashley who
respects her friend Julie's opinion is interested in connecting with Matt. They both accept the invitation.
19. Similar to SmartPick, the chat is automatically set up only after both Ashley and Matt accept the
matchup invitation. Ashley and Matt start chatting through Zoosk.
Hey, Ashley. How are you doing?
I'm good, Matt. How are you?
Matt
Ashley
21. Phase II Zoosk to Facebook
Capabilities:!
Users can match friends from Facebook who are not currently on Zoosk to contacts from their Zoosk network
Z FB
23. Matt met his new girlfriend Ashley through being matched up and wants to pay it forward. He decides to match
up his friend Peter who doesn't use Zoosk + has been single for a while with Emily - a girl that he used to chat
with on Zoosk, who he remembers has a lot in common with Peter.
24. Matt goes to the "MatchMaker" tab on Zoosk and proposes a match between Peter and Emily. He selects
Emily from the list.
25. Then he selects Peter. Even though Peter isn't on Zoosk, Matt is able to select him on the Zoosk platform,
because Matt agreed to share his Facebook friendlist with Zoosk when he originally created an account.
Peter
26. Matt writes a personal message to both Emily and Peter and then sends the match invitation!
27. Peter receives a facebook message from his friend Matt about potentially being matched up with Emily.
Peter who has been feeling lonely lately accepts the matchup through clicking on the Zoosk link.
28. Peter agrees to login to Zoosk via his Facebook account, which allows for his Zoosk pro?le to be
automatically set up.
29. After Peter's Zoosk pro?le is set up, only then does Emily receive the matchup invitation from Matt. She
has good memories of chatting with Matt and therefore is open to his match suggestion. After viewing
Peter's newly-created pro?le, which she ?nds appealing, she agrees to the invitation.
32. Phase III Facebook to Facebook
Capabilities:!
Users can match their friends from Facebook who are not currently on Zoosk to other friends on
Facebook who are not currently on Zoosk. This phase grants the most freedom to Zoosk Matchmakers.
FB FB
* Although not designed in our presentation, should be considered in future iterations
33. Future Considerations
? Facebook to Facebook: Design Phase III user-?ows + wireframes
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? Incentives: Matchmakers that propose successful matches may be rewarded
with romantic gifts to provide further motivation
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? Restrictions: Matchmakers should be limited by the number of matches they
are allowed to propose in order to prevent users from receiving an innundation
of match invitations and to encourage Matchmakers to be as thoughtful as
possible with their allotted number of match invitations
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? Anonymity: Explore the possibility of match invitations where the MatchMaker
is anonymous in situations where the MatchMaker feels awkward proposing a
match to the involved parties
"
"
34. Leverage human-to-human matchmaking to more effectively create networks of happy couples that
would want to return the favor through becoming matchmakers themselves.
Draw in new users through matchmaking.
Ultimate Objective