GOODREADS

PROBLEM:
Despite Goodreads' intentions to create the ultimate tool for readers, there has been a surge of recent complaints regarding its user interface being difficult to utilize; Customers are demanding an update

OBJECTIVE:
Improve Customer Satisfaction (CSAT)

Currently Goodreads has a 73 CSAT rating, and the purpose of this research is to propose new solutions to help increase customer’s satisfaction with the app to keep them more engaged.

HERE’S HOW:


Based off of a HEURISTIC EVALUATION using Nielsen’s 10 Usability Heuristics we identified the top usability issues in the current app experience that make it difficult for people to use. The most prominent usability issues were:

Most buttons do not provide the user with adequate cues to indicate a completed action.

Visibility of System Status

SHORT TERM

Adopt Mood Ratings into the current system since it performed well in the quantitative usability test.

Some interactions in the user flow are irreversible, making errors difficult to resolve/undo.

Error Prevention


Based off of a COMPETITIVE EVALUTION measured against 8 selected brands, we gained insights into the competitive landscape and Goodreads’ place within the market to improve its positioning. Here are the top 3 areas for growth amongst competitors and next steps to achieve this:

Goodreads ranks average in assisting customers with discovering new books.

Prioritize new discovery features


50% of users ranked
Mood Ratings as Extremely Beneficial

Mood Ratings allow users to see public ratings of a book based user-reported emotions the book provokes

Goodreads lags behind its competitors in customization and unique feature offerings.

Add more unique features

Based off of a CLOSED CARD SORT showcasing potential features identified from the
Competitive Analysis, we determined which features users prioritize as the most beneficial for integration with the app. 34 respondents produced the following results:

47% of users ranked
AI Recommendations as Extremely Beneficial

AI Recommendations use artificial intelligence to provide personalize book recommendations in response to conversational prompts


To identify the primary usability challenges in the initial prototype to guide iterative enhancements, a QUALITATIVE USABILITY TEST was conducted for three key tasks:

Leave a joyful mood rating

Receive a book recommendation

Users like the concept of the 
AI Librarian but the purpose of the function is unclear

Iterate the AI Librarian icon.

Use consistent language.

Mood Ratings are helpful but the existing flow is too lengthy and creates cognitive overload

Separate flows for star ratings, mood ratings and comments.

Create shortcut for advanced users.

This flow was rated high in ease of use, low in average time spent per screen and mis-click rate and thus high in success rate!

This iteration has yielded improvements! Measure CSAT to confirm findings.

Find a recommendation for a specific type of book

Despite an increase in promotion for the AI Librarian feature, 52% of participants initially clicked the search bar instead

A shift in user mental models is required in order for users to expect recommendations to be generated by artificial intelligence

IMPACT:

Customer satisfaction has improved by 17% from 73% to 90% based on the latest updated prototype!

NEXT STEPS:

MID TERM

Run another study on AI Reccs to see how we to provide further onboarding for this feature.

Create a new private shelf

LONG TERM

Revisit other potential feature offerings from the Competitive Evaluation and conduct further concept testing.

Often times, visual language and vocabulary was inconsistently used.

Consistency of System Standards

There are 10 additional features that Goodreads could offer to stand out

Explore which new feature would be more beneficial to implement

The Private Bookshelf task was completed with ease; ranked the least beneficial feature

Deprioritize this function.

Remove from scope.


To evaluate the effectiveness of the new features after the first round of iterations, a QUANTITATIVE USABILITY TEST was conducted for two key tasks:

Leave a general mood rating

41% of users ranked
Private Book Lists as Extremely Beneficial

Private Book Lists allow users to create a collection of books that will not be shown on their public profile

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