Flikc
Working with Flikc, a Content publishing platform, I had the opportunity to understand the factors influencing people's content consumption decisions. Our findings indicated a strong link between the user's social connections and their content consumption habits. Incorporating all the findings, we came up with a platform that caters content specifically for you from pieces all across the web.
Product Designer
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Loads of Research
Empathizing with our users
and
some secret UX magic
Competitive Analysis
Provisional personas
Research Insights
Prefer consuming multiple types of content ie. Text, Video and Audio.
Working at a company or are pursuing an MBA are given access to some platform by their employer/college.
Decide whether they want to read an article based on the Title, followed by the summary and then all the other factors.
Are subscribed to a newsletter and share articles they think are engaging with their friends.
Find recommendations from people they trust to influence their decisions the most.
Would leave an article midway if they find a hyperlink to terms they don’t understand and then return to the initial article.
Read the summary of the article and decide if it is the right fit for them.
Consume content only about a topic or industry of their interest.
Lack of good results about a topic past the first few Google search results.
Spending time going through something that they might not like.
Time-consuming to follow and unfollow people when they start posting content that they didn’t sign up for.
Lack of hyperlinks and suggestions based on the things mentioned in the content consumed.
Get relevant and quality content without having to spend hours searching for it.
Get better suggestions similar to the things they liked.
Follow content based on topics
Keep themselves updated with the market trends and the industries of their interest.
Allocate the time spent on searching for other work.
User persona
Journey map
Feature prioritization
User flow
Wireframing
Wireframing
User Interface
Primary
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Text Body
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Headings
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Dark BG
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White
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Dark mode for the night owls.
A short snippet of the article coupled with topic tags to help the user decide if they want to read the full article.
Similar reads based on a combination of the current topic and ones the user is currently following.
A list of topics algorithmically predicted by us that the user is likely to enjoy based on their previous activity on the platform.
Similar creators active in the topic of interest. This allows for a lot of new creators to get discovered if the audience likes their previous work.
Suggested readings from the same author.
