Personalized Daily Recommendations

Brief

Optimize the Today section where people get daily personalized recommendations based on genre, and likes from unlocked categories (TV & movies, Books, Podcasts).

Problem

The Today tab in the Likewise app is where people get daily personalized recommendations of their favorited categories based on genre, likes, and people you follow. The section was seeing sluggish retention numbers for day zero. Users who unlocked more than one category in their first day on the app were retained longer than users who only unlocked one category (TV & Movies, books & podcasts but current onboarding infrastructure could only support unlocking one category at a time. How could we surface unlocking multiple categories at the top of the funnel in the live product?

Old Today Recommendation Screen

My Role

I collaborated with another designer throughout the whole process. My main contribution was working on the user flows, prototype, and final delivery.

Credits
Experience Designer: Justina Fu

Research

Metrics

We scheduled a kickoff meeting with our product manager and UX researcher to learn more about the metrics and qualitive data. Our UX researcher pointed us to some pre-recorded user videos and we began going through them and noting user behavior to understand what roadblocks or frustrations they were having.

One constraint we had to be aware of throughout the process was keeping the scope to the Today section only. Since, the Today tab touched the onboarding flow and user profile, which were big flows, we had to be careful for the project not to balloon to something much bigger where we can’t correctly measure it after launch.

Current User Journey Audit

We also created an audit of the current user journey and pointed out any obvious roadblocks.

User Journey Audit

Competitive Research

Lastly, we used competitive comps to learn of any new patterns or learnings that we may of missed.

Competitive Research

Synthesis Information We got together with the team and worked through all of the research to find common themes and to painpoints that currently existed. Here are the top things that we learned and work towards a solution:

  • People who unlock multiple categories have a more positive experience in the product.
  • Our current onboarding constraints only allowed users to onboard through one category at a time. Because of this, many users never unlocked more than one.
  • There was no clear organization of recommendations and the experience broke down when users tried to figure out how to get back to their recommendations and settings.
  • Once users had engaged with all of their recommendations for the day, they would leave the app instead of explore other tabs. This showed a clear lack of indicators in the user flow.
  • The interactions in the recommendation card stack were busted and clunky and didn’t reinforce a good experience.

This wider range of cross-category recommendations brought a higher value to people which also caused a higher engagement during each session. However, the number of people with multiple unlocked categories was low.

Audience

We decided to optimize the experience for two of our biggest use cases to align with business goals:

  • Early adopters who are highly invested in getting recommendations for books and TV & movies
  • People are interested in community building
Audience

Exploration

We quickly brainstormed a range of middle level fidelity ideas.

We focused on:

  • Give users the ability easily unlock categories in the beginning of the onbarding experience and once.
  • Clear path to unclocking new categories in the Today stack.
  • Organize people’s recommentations by category and give them control to easily access what they want to view.
v1-User Education
v2-User Onboarding
v3-User Profile
v4-Custom Cards
v5-Header Nav