How can ITHAKA improve the search functionality in JSTOR to help researchers find relevant content more efficiently?

Introduction

To improve JSTOR's search functionality for researchers, we need to focus on enhancing the efficiency and relevance of search results. This improvement is crucial for ITHAKA to maintain JSTOR's position as a leading digital library for academic content. I'll approach this challenge by analyzing user segments, identifying pain points, generating solutions, and proposing metrics for success.

Step 1

Clarifying Questions (5 mins)

• Looking at JSTOR's extensive database, I'm thinking about the diversity of content types. Could you help me understand the primary content categories researchers are searching for, and if there are any specific areas where search functionality is particularly challenging?

Why it matters: Determines if we need to tailor search algorithms for different content types Expected answer: Journal articles are primary, but books and primary sources are growing Impact on approach: Would focus on improving cross-content type search capabilities

• Considering the evolving nature of academic research, I'm curious about the current user behavior patterns. Can you share insights on how researchers typically interact with JSTOR's search function? Are they using advanced search features, or primarily relying on basic keyword searches?

Why it matters: Helps identify whether to focus on improving basic search or enhancing advanced features Expected answer: Majority use basic search, but power users heavily rely on advanced features Impact on approach: Would prioritize improving basic search while optimizing advanced features for power users

• Given JSTOR's established position in the academic world, I'm wondering about the competitive landscape. How does JSTOR's search functionality currently compare to other academic databases, and what specific areas have users highlighted as needing improvement?

Why it matters: Identifies key areas for differentiation and improvement Expected answer: JSTOR's interdisciplinary nature is unique, but users find competitor's filtering options more intuitive Impact on approach: Would focus on enhancing filtering and sorting capabilities while maintaining interdisciplinary strength

• Considering ITHAKA's mission to advance knowledge, I'm interested in understanding the broader strategic goals. How does improving JSTOR's search align with ITHAKA's long-term objectives, and are there any specific metrics or outcomes you're aiming to achieve?

Why it matters: Ensures alignment of search improvements with overall company strategy Expected answer: Aiming to increase user engagement and expand into new academic fields Impact on approach: Would prioritize features that encourage exploration across disciplines and improve user retention