What features could EDO add to its outcome measurement platform to better quantify brand lift?

Introduction

To improve EDO's outcome measurement platform and better quantify brand lift, we need to focus on enhancing our data collection, analysis, and visualization capabilities. I'll outline a strategic approach to address this challenge, considering user needs, market trends, and technological advancements.

Step 1

Clarifying Questions

• Looking at the product context, I'm thinking EDO might be targeting primarily large enterprises and agencies. Could you confirm the primary user base and their key use cases for the platform?

Why it matters: Determines the scale and complexity of features we need to develop Expected answer: Primarily used by major brands and agencies for campaign effectiveness measurement Impact on approach: Would focus on enterprise-grade features and integrations

• Considering user behavior, I'm curious about the current data sources and metrics used for brand lift measurement. Can you share what types of data EDO currently collects and analyzes?

Why it matters: Identifies gaps in current data collection and potential areas for improvement Expected answer: Mix of survey data, social media sentiment, and sales metrics Impact on approach: Would explore additional data sources or advanced analytics techniques

• Given the competitive landscape, I'm wondering about EDO's current market position. How does our platform compare to other brand lift measurement tools in terms of accuracy and comprehensiveness?

Why it matters: Helps identify unique selling points and areas for differentiation Expected answer: Strong in certain industries but lacking in others Impact on approach: Would focus on expanding capabilities in underserved sectors

• Thinking about the product lifecycle, I'm curious about the platform's current stage and recent growth trends. Can you share any insights on user adoption rates or feature requests over the past year?

Why it matters: Indicates whether to focus on user acquisition or retention strategies Expected answer: Steady growth with increasing demand for more granular insights Impact on approach: Would prioritize advanced analytics and customization features