Perplexity · AI product · Mid · 45 to 60 minutes

Should Perplexity Own More of User Intent?

Perplexity is an AI powered search and answer product that helps people ask questions and get sourced responses from the web. Answer this product management case and get it graded line by line against a weighted rubric.

product strategy
user insight
prioritization
metrics
AI product judgment

The situation

Perplexity's head of product asks you for a recommendation on how the core product should evolve over the next two quarters. The team believes AI answers can win the first step of a user journey, the question, but many users still leave to complete the next step elsewhere, like comparing options, making a choice, or taking action on another site. Leadership thinks this gap matters because the products that become a user's gateway to the internet often capture repeated intent, learn from behavior, and get stronger through personalization. At the same time, pushing too far beyond answering questions could dilute focus, raise trust and privacy concerns, and make the product feel less objective. Your job is to recommend whether Perplexity should stay focused on best in class answers, or invest in a product area that moves users from asking to acting inside the experience more often. The hard part is choosing a path that increases long term retention and learning value without assuming distribution advantages that incumbent search engines or browsers already have.

What to produce

Write a 1 to 2 page product strategy memo.

Your answer must

Define the core user problem in terms of what happens after a user gets an answer, and name the target user segment you would prioritize.
Compare 2 or 3 strategic options for how Perplexity could capture more of the journey from asking to acting, then choose one recommendation.
Explain how first party usage data and personalization would create user value in your recommendation, and where it could create lock in or trust risk.
Propose a simple success metric set, including one leading metric, one retention or repeat usage metric, and one quality or trust metric.
Outline 2 practical experiments or staged launches that could test your recommendation within the next two quarters.

Constraints

Do not assume Perplexity can rely on browser ownership, default search placement, or exclusive distribution deals.
Keep the recommendation within a product area that could be tested in the existing product over the next two quarters.
Any use of personalization must preserve source transparency and give users clear control over their experience.

Format

Use headings: problem, users, options, recommendation, metrics, experiments, risks.

How Perplexity actually played it

Examines Perplexity's attempt to become a gateway to the internet, as search engines and browsers have been, and how data and personalization could lock users in.

Gateways own user intent
Data feeds personalization and lock in
Ask what takes a user from asking to acting

Built from Perplexity owning Gateway to Internet by Technomanagers.