Introduction
To enhance IBM's Watson AI platform for non-technical users, we need to focus on simplifying complex AI capabilities and making them more accessible. This improvement will involve reimagining user interfaces, streamlining workflows, and potentially introducing new features tailored to non-technical users' needs. Let's dive into a structured approach to address this challenge.
Step 1
Clarifying Questions (5 mins)
Why it matters: Determines which areas to focus on for improvement Expected answer: Natural language processing for customer service and data analysis for business intelligence Impact on approach: Would prioritize enhancing these specific features for non-technical users
Why it matters: Identifies potential early pain points in the user journey Expected answer: Basic online tutorials with a steep learning curve, average time to proficiency is 2-3 months Impact on approach: Would focus on improving onboarding and reducing time to value
Why it matters: Helps determine whether to focus on acquisition or retention strategies Expected answer: Moderate penetration, looking to expand non-technical user base Impact on approach: Would emphasize features that attract new users while ensuring they're intuitive enough for retention
Why it matters: Ensures our improvements align with overall company goals Expected answer: Part of a larger initiative to democratize AI and expand market share in small to medium businesses Impact on approach: Would focus on solutions that scale well and cater to SMB needs
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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