How would you define the success of Perplexity's mobile app for iOS and Android?

Introduction

Defining the success of Perplexity's mobile app for iOS and Android requires a comprehensive approach that considers multiple stakeholders and metrics. To address this product success metrics challenge effectively, I'll follow a structured framework covering core metrics, supporting indicators, and risk factors while considering all key stakeholders.

Step 1

Product Context

Perplexity's mobile app is an AI-powered search engine and question-answering tool available on iOS and Android platforms. It aims to provide users with quick, accurate answers to their queries by leveraging advanced language models and web scraping technologies.

Key stakeholders include:

1. End users seeking efficient information retrieval
2. Perplexity's product team and leadership
3. Advertisers and potential business partners
4. Investors and shareholders

User flow:

1. Open app and enter query
2. View AI-generated answer with cited sources
3. Optionally, ask follow-up questions or start a new search

The app fits into Perplexity's broader strategy of democratizing access to AI-powered information retrieval, competing with traditional search engines and AI assistants like ChatGPT.

Compared to competitors like Google or Bing, Perplexity focuses on providing direct answers rather than a list of links, differentiating itself through its AI-first approach and citation of sources.

Product Lifecycle Stage: Growth phase - The app has gained traction but is still expanding its user base and refining its features.

Software-specific context:

• Platform: Native iOS and Android apps
• Integration points: Web APIs, language models, web scraping tools
• Deployment model: App store distribution with regular updates