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Paytm Movies: Improving Cinema Listing Page
Cinema-Recommendation Algorithm
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Cinema-Recommendation Algorithm

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Understanding User Personas

Who are our Users?

Some attributes of our users would include:
Spontaneous
Are they a person who likes to plan before going out, or do they go with the flow?
Film Buff (Regular Movie-Goer)
how often a month do they go out to see a movie?
more than twice a month would qualify them here.

Note: There are definitely more than 2 attributes, but this should give us a good starting point to think about use-cases.
That gives us 4 User-Personas to think about.
User Personas
0
Name
Spontaneous
Film Buff
Use-Case
1
Spontaneous Movie-Buff
Roaming around on MG Road, decides they haven’t seen a movie in a while and opens the App
2
Spontaneous Team-Player
They’re with friends, maybe gettin some food and when they open-up PayTM to send money to a friend they see an offer for movie-tickets.
3
Meticulous Movie-Buff
When planning their weekend they open up PayMovies to see what movies are playing at the local Cinema
4
Planner of the Group
When chatting about the weekend a friend suggests a particular movie they should go see.
There are no rows in this table
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