Introduction
To improve GoodData's data visualization tools for non-technical users, we need to focus on simplifying complex data insights while maintaining the depth of analysis. I'll outline a strategic approach to enhance accessibility, starting with user segmentation, pain point analysis, and solution generation. We'll then evaluate and prioritize these solutions, concluding with metrics to measure success.
Step 1
Clarifying Questions (5 mins)
Why it matters: Determines the level of simplification needed and specific features to focus on. Expected answer: Mid-level managers and executives who need quick insights for decision-making. Impact on approach: Would focus on executive-friendly dashboards and automated insights.
Why it matters: Helps prioritize the scale of improvements needed. Expected answer: Non-technical users make up 40% of the user base, growing steadily over the past year. Impact on approach: Would emphasize onboarding and feature discovery for new non-technical users.
Why it matters: Identifies key areas for differentiation and improvement. Expected answer: We're strong in data depth but lag in user-friendly interfaces compared to some competitors. Impact on approach: Would focus on UI/UX improvements while maintaining our data analysis strengths.
Why it matters: Ensures our improvements align with overall company direction. Expected answer: It's a key initiative to expand market share in the business intelligence sector. Impact on approach: Would prioritize solutions that can be marketed as key differentiators.
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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