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Product Management Improvement Question: Enhancing data visualization for complex legal investigations in RelativityOne
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Nextsprints

Updated Jan 22, 2025

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How can Relativity enhance its RelativityOne platform to improve data visualization for complex investigations?

Product Improvement Hard Member-only
Product Strategy User Research Data Analysis Legal Technology eDiscovery Data Analytics
Product Enhancement User Experience AI Integration Data Visualization Legal Tech

Introduction

To enhance RelativityOne's data visualization capabilities for complex investigations, we need to focus on improving the platform's ability to present intricate data relationships in a more intuitive and actionable manner. This improvement will be crucial for legal professionals and investigators who rely on RelativityOne to manage and analyze large volumes of data in high-stakes cases. I'll approach this challenge by examining user needs, identifying pain points, and proposing innovative solutions that leverage advanced visualization techniques and AI-driven insights.

Step 1

Clarifying Questions (5 mins)

  • Looking at the product context, I'm thinking RelativityOne might be facing challenges in handling increasingly complex data sets. Could you share more about the types of investigations and data complexities our users are dealing with most frequently?

Why it matters: Determines the scope and depth of visualization improvements needed Expected answer: Increasing multi-jurisdictional cases with diverse data types Impact on approach: Would focus on cross-data type visualization and scalability

  • Considering user behavior, I'm curious about how our users currently interact with visualizations. What are the most common actions or insights they're trying to derive from the current visualization tools?

Why it matters: Helps prioritize which visualization features to enhance or introduce Expected answer: Users struggle to identify key relationships and patterns quickly Impact on approach: Would emphasize intuitive relationship mapping and pattern recognition

  • Regarding our market position, how does RelativityOne's current data visualization capability compare to our main competitors? Are there any specific areas where we're falling behind or leading?

Why it matters: Identifies competitive gaps and opportunities for differentiation Expected answer: Strong in document review, weaker in complex relationship visualization Impact on approach: Would focus on enhancing relationship visualization as a key differentiator

  • Thinking about company alignment, what are the key business objectives driving this improvement initiative? Are we looking to expand into new market segments or deepen our relationship with existing customers?

Why it matters: Ensures proposed solutions align with broader company goals Expected answer: Aiming to increase market share in high-value, complex investigations Impact on approach: Would prioritize advanced features that cater to sophisticated users

Tip

At this point, you can ask interviewer to take a 1-minute break to organize your thoughts before diving into the next step.

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