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Company focus

GoodData
Product Improvement Medium Member-only

How can GoodData improve its data visualization tools to make insights more accessible for non-technical users?

Prepared by NextSprints

15 mins
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User-Centric Design Data Analysis Feature Prioritization Business Intelligence Data Analytics SaaS User Experience Product Improvement Accessibility Data Visualization Business Intelligence
Product Management Improvement Question: Enhancing data visualization accessibility for non-technical GoodData users

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)

  • Looking at the product context, I'm thinking GoodData might be targeting a broad range of business users. Could you help me understand who our primary non-technical users are and their key use cases?

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.

  • Considering user behavior, I'm curious about the current adoption rate among non-technical users. What percentage of our user base falls into this category, and how has this changed over time?

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.

  • Thinking about our market position, how does our current offering compare to competitors in terms of accessibility for 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.

  • Considering company alignment, how does improving accessibility for non-technical users fit into GoodData's broader strategic goals?

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.

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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Updated Jan 22, 2025