Product Sense

Should Apple create its own search engine? Why or why not?

How to Approach and Answer "Should Apple create its own search engine? Why or why not?" in a PM Interview

This question tests your understanding of the search market, Apple's business strategy, and your ability to weigh strategic trade-offs.

  1. Start with Context:

Say something like:

"The search engine market is dominated by Google, with significant market share. Apple currently relies on Google Search as the default search engine on its devices, generating substantial revenue through a licensing agreement. Developing a search engine is a massive undertaking requiring significant technical expertise, infrastructure investment, and ongoing maintenance."

This sets the context and highlights the existing market dynamics.

  1. Analyze the Opportunity:

Say something like:

"Despite the challenges, creating a search engine could offer several potential benefits for Apple:

  • Greater Control over User Experience: Apple could seamlessly integrate search into its ecosystem, offering a more cohesive and privacy-focused experience. This aligns with Apple’s emphasis on user privacy and control.

  • Reduced Dependence on Google: Developing its own search engine would reduce Apple's reliance on a competitor and give them more control over a critical component of their devices.

  • Potential Revenue Generation: While challenging, a successful search engine could generate significant advertising revenue for Apple, diversifying its revenue streams.

  • Enhanced User Privacy: Apple could differentiate its search engine by prioritizing user privacy, a growing concern among consumers.

  • Synergies with other Apple services: A proprietary search engine could integrate seamlessly with other Apple services like Siri, Maps, and Spotlight, creating a more unified and powerful user experience."

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This outlines the potential upsides, linking them to Apple's strengths and market trends.

  1. Discuss the Risks:

Say something like:

"However, there are significant risks associated with building a search engine:

  • Massive Investment: Developing a search engine competitive with Google would require billions of dollars in R&D, infrastructure, and talent acquisition.

  • Technical Challenges: Building a high-performing, reliable, and scalable search engine is incredibly complex, requiring expertise in areas like natural language processing, information retrieval, and distributed systems.

  • User Adoption: Convincing users to switch from established search engines like Google would be a major hurdle.

  • Maintaining Index Freshness and Accuracy: Keeping the search index up-to-date and ensuring the accuracy of search results is an ongoing challenge.

  • Competition from Established Players: Google has a massive head start in terms of technology, data, and user base, making it a formidable competitor."

This highlights potential downsides, showing balanced and realistic thinking.

  1. Provide a Recommendation:

Say something like:

"Considering the substantial investment and risks involved, I wouldn’t recommend building a full-fledged search engine from scratch immediately. Instead, Apple should pursue a phased approach:

  • Phase 1: Enhance Siri and Spotlight search capabilities: Focus on improving on-device search and leveraging AI to provide more personalized and relevant results.

  • Phase 2: Explore strategic partnerships and acquisitions: Partner with or acquire smaller search engines or search technology companies to gain expertise and technology.

  • Phase 3: Develop a specialized vertical search engine: Focus on a specific area like app search, academic research, or travel, where Apple can differentiate itself and offer unique value.

  • Phase 4: Continuously evaluate the feasibility of a full-fledged search engine: Based on the learnings from the previous phases and the evolving market landscape, reassess the viability of building a comprehensive search engine.

This phased approach allows Apple to gain experience, mitigate risk, and potentially build a strong foundation for a future search engine if the market conditions are favorable."

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This phased approach demonstrates strategic and pragmatic thinking.

  1. Define Success Metrics:

Say something like:

"Success for each phase would be measured differently:

  • Phase 1: Increased usage of Siri and Spotlight for search, improved user satisfaction with search results.

  • Phase 2: Successful integration of acquired technology, demonstrable improvement in search capabilities.

  • Phase 3: Market share within the targeted vertical, user engagement and retention.

  • Phase 4: A comprehensive market analysis demonstrating the potential for a full-fledged search engine to be profitable and achieve sufficient market share.

Ultimately, the decision of whether to build a search engine should be based on a thorough cost-benefit analysis, considering the potential benefits, the significant risks, and the long-term strategic implications for Apple."

This concludes with a data-driven approach to decision-making, emphasizing the importance of ongoing evaluation.

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