What features could PatSnap add to its AI-powered patent search to help users find relevant prior art more efficiently?

Introduction

To improve PatSnap's AI-powered patent search and help users find relevant prior art more efficiently, we need to analyze the current user experience, identify pain points, and propose innovative solutions. I'll approach this by examining user segments, analyzing their journey, and developing targeted features that leverage AI capabilities to streamline the patent search process.

Step 1

Clarifying Questions (5 mins)

• Looking at PatSnap's position in the market, I'm curious about the competitive landscape. Could you share insights on how our AI-powered search compares to other major players in the patent search space?

Why it matters: Helps identify unique selling points and areas for improvement Expected answer: PatSnap leads in some AI features but lags in user interface Impact on approach: Would focus on enhancing UI while leveraging AI strengths

• Considering the evolving nature of AI technology, I'm wondering about our current AI implementation. What specific AI technologies or models are we currently using for patent search, and how frequently are they updated?

Why it matters: Determines the scope for AI improvements and integration Expected answer: Using NLP models, updated quarterly Impact on approach: Would explore more frequent updates and cutting-edge AI integration

• Examining user behavior, I'm interested in understanding the typical search patterns. What are the most common search strategies employed by our users, and how do these vary across different user segments?

Why it matters: Identifies key areas for feature optimization Expected answer: Keyword-based searches dominate, with advanced users leveraging Boolean logic Impact on approach: Would focus on enhancing both simple and advanced search capabilities

• Considering the product lifecycle, I'm curious about our current stage and future plans. Where does PatSnap see itself in the next 2-3 years in terms of product evolution and market position?

Why it matters: Aligns proposed improvements with long-term company vision Expected answer: Aiming to be the leading AI-driven IP intelligence platform Impact on approach: Would prioritize scalable, future-proof solutions