Build a trust-focused improvement for Top 10 used by lapsed subscribers

Problem Statement Description

Product context: Netflix is a streaming entertainment company; its products include subscription video, original films and series, recommendations, profiles, games, and ad-supported plans.

Netflix’s Top 10 is a high-visibility discovery surface that signals what is popular on the service. For lapsed subscribers considering whether to return, this ranking can influence whether Netflix feels relevant, current, and worth paying for again. However, a user who has been away may not fully trust that the Top 10 reflects their tastes, their region, the broader cultural moment, or the kind of value they expect from a subscription.

Design a trust-focused improvement to the Top 10 experience for lapsed subscribers. The improvement should address the moments before and after reactivation consideration, helping users understand why a title is ranked, whether it is worth their time, and whether Netflix has enough compelling content for them now. Assume the experience may appear across logged-out, win-back, email, mobile, TV, or web surfaces, but keep the scope focused on the Top 10 product experience rather than a broad reactivation campaign.

Your task is to define the user problem, identify the key friction points around trust and content discovery, and propose what the experience must support. Consider that Netflix operates globally across different languages, content catalogs, viewing preferences, household contexts, and subscription plans, including ad-supported plans in some markets.

The experience should consider:

- Who the lapsed subscriber is, why they may have cancelled, and what information they need before trusting Netflix again.

- How Top 10 currently creates value as a popularity signal, and where that signal may feel vague, generic, manipulated, or irrelevant.

- What “trust” means in this context: transparency, relevance, freshness, regional accuracy, social proof, quality expectations, or confidence before resubscribing.

- The workflow from exposure to Top 10, evaluation of titles, comparison with alternatives, and potential reactivation.

- How the experience should work across devices and markets without overcomplicating a simple discovery surface.

- How personalization and global popularity should be balanced for users who may not have recent viewing history.

- What user actions, feedback, or engagement signals would indicate improved trust without requiring the user to already be subscribed.

- Risks such as privacy concerns, ranking confusion, content disappointment, or overpromising the value of the catalog.

The goal is to frame and design a focused product improvement that makes Netflix’s Top 10 more credible and useful for lapsed subscribers, increasing their confidence that returning to Netflix will lead to content they genuinely want to watch.