Introduction
To improve Medable's eCOA solution for increased data accuracy and reduced missing entries, we need to analyze the current product, understand user pain points, and develop targeted features. I'll approach this by examining user segments, identifying key pain points, generating solutions, and prioritizing implementation. Let's dive in.
Step 1
Clarifying Questions (5 mins)
Why it matters: Determines the focus of our feature improvements Expected answer: Mix of clinical research coordinators and patients Impact on approach: Would need to balance features for both user groups
Why it matters: Influences the types of features we might add to improve accuracy Expected answer: Primarily self-reported data with some wearable integrations Impact on approach: Would focus on improving self-reporting tools and expanding wearable integrations
Why it matters: Helps quantify the problem and set improvement targets Expected answer: 20-30% of data sets have some form of missing entries Impact on approach: Would prioritize features that specifically target completion rates
Why it matters: Identifies areas for differentiation and improvement Expected answer: Middle of the pack, with room for improvement in user engagement Impact on approach: Would focus on innovative features to leapfrog competitors
At this point, I'd like to take a 1-minute break to organize my thoughts before diving into the next step.
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