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Product Management Design Question: Enterprise search engine with AI and context-aware features

Design a search engine for enterprises.

Product Design Hard Member-only
Product Strategy User Segmentation Problem Prioritization Enterprise Software Information Technology Knowledge Management
User Experience Product Design Enterprise Software Search Algorithms Information Retrieval

Introduction

Designing a search engine for enterprises is a complex and multifaceted challenge that requires careful consideration of various factors. As we dive into this product design question, I'll outline my approach to creating a robust, efficient, and user-friendly enterprise search solution. My response will cover key aspects such as user segments, pain points, potential solutions, and success metrics.

Tip

Does this approach sound good to you? I'm happy to adjust my focus if you have any specific areas you'd like me to emphasize.

Clarifying Questions (3 minutes)

  • Based on the problem description, I'm thinking this might be for a specific company's existing product. Is that the case, or should I approach this as a standalone enterprise search solution?

Why it matters: This helps frame the solution within existing constraints or as a new market entry. Expected answer: It's a standalone solution. Impact on approach: I'd focus on market differentiation and building from scratch rather than integrating with existing systems.

  • Given the enterprise focus, I'm assuming we're looking at an established tech company with significant resources. Is this correct, or should I consider a startup context?

Why it matters: This affects the scale of the solution and available resources. Expected answer: It's an established tech company. Impact on approach: I'd propose more comprehensive solutions that leverage extensive resources and existing market presence.

  • Regarding time and resource constraints, should I assume we have a typical product development cycle of 12-18 months, or is there a more urgent timeline?

Why it matters: This influences the scope and phasing of the proposed solution. Expected answer: Standard 12-18 month cycle. Impact on approach: I'd propose a phased rollout with core features first, followed by more advanced capabilities.

  • In terms of existing research, do we have access to comprehensive user data and market insights, or should I assume we need to start with primary research?

Why it matters: This affects the depth and confidence of our initial user understanding. Expected answer: We have some market data but limited user-specific insights. Impact on approach: I'd propose a mix of leveraging existing data and conducting targeted user research to fill gaps.

Propose the Goal

Given the focus on enterprise search, I believe the goal is to create a powerful, secure, and customizable search solution that significantly improves information discovery and knowledge management within large organizations. Does this align with your vision?

Define the Scope

For this product design challenge, should we focus on core search functionality and integration with common enterprise systems, or should we also consider advanced features like AI-powered insights and natural language processing?

Based on your answers, I'll assume we're designing a standalone enterprise search solution for an established tech company, with a 12-18 month development cycle, some existing market data, and a focus on core functionality with room for advanced features in later phases.

Tip

I'll take a moment to organize my thoughts before moving on to the next section.

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