How can EXL enhance its analytics-as-a-service offering to provide more actionable insights for clients?

Introduction

To enhance EXL's analytics-as-a-service offering and provide more actionable insights for clients, we need to thoroughly analyze the current product, understand user needs, and develop innovative solutions. I'll approach this challenge systematically, focusing on user segmentation, pain point analysis, solution generation, and measurement strategies.

Step 1

Clarifying Questions (5 mins)

• Looking at the product context, I'm thinking EXL's analytics-as-a-service might be targeting mid to large enterprises across various industries. Could you help me understand who our primary users are and what key industries we're serving?

Why it matters: Determines the scope and focus of our improvements Expected answer: Primarily serving finance, healthcare, and retail industries Impact on approach: Would tailor solutions to industry-specific needs and regulations

• Considering user behavior, I'm curious about how clients typically interact with our analytics platform. What's the primary mode of engagement – is it through dashboards, reports, or direct data access?

Why it matters: Influences the type of improvements we prioritize Expected answer: Mix of dashboard usage and custom report generation Impact on approach: Would focus on enhancing both self-service capabilities and report customization

• Regarding pain points and market position, I'm wondering about our competitive advantage. What unique value does EXL's offering provide compared to other analytics-as-a-service providers?

Why it matters: Helps identify areas to double down on or improve Expected answer: Strong domain expertise and customization capabilities Impact on approach: Would emphasize enhancing domain-specific insights and flexibility

• Thinking about the product lifecycle, where would you say we are in terms of market penetration and feature maturity?

Why it matters: Determines if we focus on acquisition or retention strategies Expected answer: Established product with good market share, looking to expand features Impact on approach: Would prioritize advanced features and deeper insights over basic functionality