Product design question

Design an experience for getting book recommendations on Facebook. How would you measure success?

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What this question tests

Product design combining content discovery with a clear success metric for a new, lower engagement content type.

Clarify the goal: help users discover books through their existing social graph, similar to how Goodreads works but embedded in Facebook.
Identify the user: casual readers who trust friends' opinions more than algorithmic recommendations from strangers.
Prioritize social proof over a generic recommendation algorithm, since trust in a friend's taste is the differentiator here.
Propose a feature where users can rate and shelve books, visible to friends, with a feed surfacing what friends are reading.
Add a lightweight prompt after users post about a book, converting organic mentions into structured recommendations.
Define success as books added per active user and click through rate from a friend recommendation to a book detail page.

Leans on Facebook's real differentiator, the social graph and trust in friends, rather than competing head on with Goodreads' algorithm.
Proposes converting existing organic behavior, posts mentioning books, into structured data, a smart low friction mechanism.
Gives an illustrative number, e.g. assumes 5 percent of book related posts could be converted into structured recommendations.
Names a clear success metric, click through from friend recommendation to detail page, tied directly to the social proof thesis.

Designing a generic recommendation engine that ignores Facebook's actual advantage, the social graph.
Proposing a heavy new feature that requires manual data entry with no path to organic adoption.
No success metric, or one disconnected from the stated goal of social discovery.

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