How can Kantar's TGI consumer data service balance comprehensive audience insights with user-friendly data access?

Introduction

Balancing comprehensive audience insights with user-friendly data access in Kantar's TGI consumer data service presents a significant product trade-off. This scenario involves weighing the depth and breadth of consumer data against the ease of use and accessibility for clients. I'll analyze this trade-off by examining the product context, identifying key metrics, designing experiments, and providing a strategic recommendation.

Step 1

Clarifying Questions (3 minutes)

• Context: I'm thinking about the current market position of Kantar's TGI service. Could you provide more information on our main competitors and how our offering compares in terms of data comprehensiveness and user interface?

Why it matters: Helps understand our competitive advantage and areas for improvement Expected answer: We lead in data depth but lag in user experience Impact on approach: Would focus on enhancing UI without compromising data quality

• Business Context: Based on our revenue model, I assume we charge based on data access tiers. Is this correct, and how do different levels of data granularity impact our pricing strategy?

Why it matters: Informs the financial implications of potential changes Expected answer: Yes, tiered pricing based on data depth and access frequency Impact on approach: Would consider creating new tiers or adjusting existing ones

• User Impact: I'm curious about our user segments. Can you share insights on the split between power users who need deep data and casual users who prioritize ease of use?

Why it matters: Helps tailor solutions to different user needs Expected answer: 70% power users, 30% casual users Impact on approach: Would explore ways to serve both segments effectively

• Technical: Considering the vast amount of data we handle, what are our current technical limitations in terms of data processing and real-time access?

Why it matters: Determines feasibility of potential solutions Expected answer: Some limitations in real-time data processing for complex queries Impact on approach: Would investigate ways to optimize data architecture

• Resource: How is our product team currently structured? Do we have dedicated UX/UI resources?

Why it matters: Assesses our capacity to implement UI improvements Expected answer: Small UX team, primarily focused on maintaining existing interface Impact on approach: Might suggest reallocating resources or hiring specialized talent