Introduction
To improve Aerobotics' yield prediction tool for farmers, we need to identify and implement features that enhance its value proposition. I'll approach this by understanding our users, analyzing pain points, generating solutions, and prioritizing improvements. Let's dive in.
Step 1
Clarifying Questions
Why it matters: This helps us understand the baseline functionality and target audience. Expected answer: The tool uses drone imagery and AI to predict crop yields for large-scale farmers. Impact on approach: Would focus on enhancing existing features vs. adding entirely new capabilities.
Why it matters: Identifies potential friction points in the user journey. Expected answer: Farmers upload drone imagery, receive predictions, and use insights for decision-making. Impact on approach: Could lead to streamlining the process or adding features at key decision points.
Why it matters: Helps identify areas for differentiation and improvement. Expected answer: We're leaders in accuracy but lag in some advanced features. Impact on approach: Might focus on maintaining our accuracy edge while adding competitive features.
Why it matters: Determines if we should focus on acquisition or retention. Expected answer: We have a solid user base but growth is slowing. Impact on approach: Would lean towards features that increase stickiness and expand use cases.
Tip
At this point, you can ask interviewer to take a 1-minute break to organize your thoughts before diving into the next step.
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