How can ZS improve its AI-powered analytics platform to better predict market trends for pharmaceutical clients?

Introduction

To improve ZS's AI-powered analytics platform for better predicting market trends for pharmaceutical clients, we need to focus on enhancing the accuracy, usability, and actionability of our predictive insights. I'll outline a strategic approach to address this challenge, considering user needs, technological capabilities, and market dynamics.

Step 1

Clarifying Questions (5 mins)

• Looking at the product context, I'm thinking about the primary use cases for our platform. Could you help me understand the key features our pharmaceutical clients rely on most frequently for market trend predictions?

Why it matters: Determines which areas to prioritize for improvement Expected answer: Drug demand forecasting, competitor analysis, and regulatory impact assessment Impact on approach: Would focus on enhancing these core features first

• Considering user behavior, I'm curious about how our clients typically interact with the platform. Are they primarily using it for real-time decision-making, or more for long-term strategic planning?

Why it matters: Influences the type of predictive capabilities we need to develop Expected answer: A mix of both, with a slight lean towards strategic planning Impact on approach: Would balance immediate insights with long-term trend analysis

• Regarding our market position, how do we currently stack up against competitors in terms of prediction accuracy and breadth of data sources?

Why it matters: Helps identify our competitive edge and areas for improvement Expected answer: Strong in accuracy, but room for improvement in data source diversity Impact on approach: Would focus on expanding and integrating new data sources

• Thinking about company alignment, what are the key performance indicators (KPIs) that leadership is most focused on for this product improvement initiative?

Why it matters: Ensures our improvements align with overall business objectives Expected answer: Customer retention, prediction accuracy, and time-to-insight Impact on approach: Would prioritize features that directly impact these KPIs