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Product Management Improvement Question: Enhancing data visualization accessibility for non-technical users at Tiger Analytics
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Nextsprints

Updated Jan 22, 2025

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

Product Improvement Medium Member-only
User-Centric Design Data Analysis Feature Prioritization Business Intelligence Data Analytics SaaS
User Experience Product Strategy Data Visualization Analytics Tools

Introduction

To improve Tiger Analytics' data visualization tools for non-technical users, we need to focus on simplifying complex data insights while maintaining depth and accuracy. I'll outline a strategic approach to enhance accessibility, usability, and value for our target audience.

Framework overview

I'll start by asking clarifying questions, then analyze user segments and pain points. From there, I'll generate and evaluate solutions, prioritize them, and propose metrics for measuring success.

Step 1

Clarifying Questions (5 mins)

  • Looking at the product context, I'm thinking Tiger Analytics might be targeting a diverse 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 prioritize Expected answer: Mid-level managers and executives across various departments Impact on approach: Would focus on high-level insights and executive-friendly visualizations

  • Considering user behavior, I'm curious about the current adoption rate and usage patterns. Can you share insights on how frequently non-technical users interact with our tools and which features they use most?

Why it matters: Helps identify areas of friction and opportunities for improvement Expected answer: Weekly usage, primarily for report generation and basic data exploration Impact on approach: Would prioritize streamlining report creation and enhancing data exploration capabilities

  • Regarding pain points and market position, I'd like to understand our competitive landscape. How do our visualization tools compare to major competitors in terms of accessibility for non-technical users?

Why it matters: Identifies areas where we can differentiate and improve Expected answer: We excel in data processing but lag in user-friendly interfaces Impact on approach: Would focus on UI/UX improvements while leveraging our data processing strengths

  • Thinking about company alignment, I'm wondering how this initiative fits into Tiger Analytics' broader strategy. What are the key business objectives driving this improvement effort?

Why it matters: Ensures our solution aligns with overall company goals Expected answer: Expanding market share in non-technical segments and increasing user engagement Impact on approach: Would balance feature accessibility with potential for upselling advanced capabilities

Tip

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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