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Product Improvement Hard Member-only

How can Clarivate Analytics enhance its Web of Science platform to improve research discoverability for users?

Prepared by NextSprints

15 mins
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Product Strategy User Research Data Analysis Academic Research Scientific Publishing Information Technology User Experience Product Strategy Data Analytics Academic Platforms Research Tools
Product Management Improvement Question: Enhancing research discoverability on Clarivate's Web of Science platform

Introduction

To enhance Clarivate Analytics' Web of Science platform and improve research discoverability for users, we need to take a comprehensive approach that addresses user pain points, leverages emerging technologies, and aligns with the company's strategic goals. I'll outline a structured plan to tackle this challenge, focusing on user needs, data-driven insights, and innovative solutions.

Step 1

Clarifying Questions

  • Looking at the product context, I'm thinking Web of Science might be facing challenges in user retention and engagement. Could you share some insights on our current user retention rates and engagement metrics?

Why it matters: This helps us understand if we need to focus on improving the core experience or expanding features. Expected answer: Retention rates are steady, but engagement (time spent on platform) is declining. Impact on approach: We'd prioritize solutions that increase user engagement and time spent on the platform.

  • Considering the evolving research landscape, I'm curious about our users' cross-platform behavior. Are researchers using Web of Science in conjunction with other tools, and if so, which ones?

Why it matters: This informs our integration strategy and potential partnership opportunities. Expected answer: Users frequently switch between Web of Science and tools like Mendeley or Google Scholar. Impact on approach: We'd explore seamless integrations or feature parity with complementary tools.

  • Given the importance of data in research, I'm wondering about our current data coverage and update frequency. How comprehensive is our database, and how often is it updated?

Why it matters: This helps identify if discoverability issues stem from data gaps or freshness. Expected answer: Coverage is extensive but updates lag behind some competitors. Impact on approach: We'd focus on improving data ingestion and processing speeds.

  • Considering the competitive landscape, I'm interested in understanding our unique value proposition. What features or capabilities set Web of Science apart from alternatives like Scopus or Google Scholar?

Why it matters: This helps us determine whether to double down on strengths or address weaknesses. Expected answer: Our citation network and impact factor metrics are industry-leading. Impact on approach: We'd look to enhance and expand on these differentiators while addressing gaps in other areas.

Tip

I'd like to take a brief moment to organize my thoughts before moving on to the next step. Is that alright with you?

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Updated Jan 22, 2025