Research
ShowRaker is a platform to help users generate content. That seems to be a low hanging giveaway. But while at it, it also wants to make the process of generating that content easy, engaging, fun, exciting and build a new low for entry barrier.
Problem
To establish if the entry barrier to generate content can be lowered any further from the current state in SVF apps and can we quantify emotional reaction to it.
My contribution was to build a solution for user to engage in the content generation activities better. How could you lower the barrier in an area where the barrier is already set to the barest. That was the biggest knot to unravel
Solution
Devising Graded Reactions
Devising Subconscious Content
Research methods
Quantitative research, Questionnaires, Screeners, Personal interviews, contextual enquiries, Heuristics. Among the most functional research method included screeners & Personal interviews. By arranging a screener very functionally, users gave away useful info nonchalantly. While the same cannot be indicative of contextual enquiry. Users might bake an answer. Personal interviews held potential as it had options for digging deep and investigating on the go.
Existing ground rules
1:9:90(1%create content, 9%edit,90%consume it) 1:99 (1%create :99% consume) 2:98(2%create :98% consume)
ShowRaker takes advantage of user need to generate content not just better , but also easily. Given the fact that 2% engage in generating content leaves a lot of space for the “lurkers” to join the wagon building useful content. Glance at the 1:99 content generation rule or the 1:9:90 rule. Irrespective of the statistic addressed , the clear message is that close to few people engaging in generating content.
Comparative analysis
Tiktok, Youtube, Snapchat
USA a major player in content creation is missing from the top 10.
The research helped to illustrate and explain how content generation as a practice is understood,
transmitted and remodelled in different countries. Among the users that contribute to developing or engage in the act of generating content is around 2%, that makes the rest 98% lurkers. The chart illustrates how the content generators never get on the picture. The consumers or lurkers do.
Among the top content lurkers, USA is strangely missing, why?
Ticket pricing & streaming services : Inversely propotional
Ticket prices between 1980s and the 2000s was on an upward swing. Ever since 20 years the trend has been down due to the number of streaming services & costs. During the endemic the trend has exasperated drastically.
The increase of stay at home dads since 1994
Decrease in stay at home moms since 1976
ShowRaker research plan
by Joseph J , User Experience Bootcamp member, Capstone project. joseph.manalil@gmail.com. Stakeholders,Springboard UX career track program, 2021. Version0.1, last updated July 10th 2021. Background: Movie fans express their admiration for flics in so many ways. One of the most often used method is imitating their stars or enacting their roles. This study was conducted to understand the kind of behaviour users carry out to express their love of the movies or the actors therein.
Qualitative Research goal
This study has sought to explore what users think and feel about Movie experiences ; their understanding of genres, their motivation for watching, the types movies they watch, the type of learning and engagements they undergo, the difficulties they face and whether they find the experience beneficial or not. Illuminating how movie watching experience can be improvised constructed, enabled and constrained may suggest not only what users need, but also what action to take in order to build newer and better content generation applications.
Affinity Map
Categorised into the following:
Behaviour, Roles, Experience, Genres, Format, Movies, performance, Information.
Research results : Personas
