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Product Management Improvement Question: Enhancing Amplitude's data visualization tools for non-technical users
Image of author vinay

Vinay

Updated Nov 19, 2024

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What features could be added to Amplitude's data visualization tools to make them more intuitive for non-technical users?

Product Improvement Medium Member-only
Feature Prioritization User Empathy Data Analysis Analytics SaaS Business Intelligence
User Experience Product Improvement Data Visualization Amplitude Analytics Tools

Introduction

To make Amplitude's data visualization tools more intuitive for non-technical users, we need to focus on simplifying complex data representations while maintaining the depth of insights. I'll approach this by examining user segments, identifying pain points, generating solutions, and proposing metrics to measure success. Let's dive in.

Step 1

Clarifying Questions

  • Looking at Amplitude's position in the analytics market, I'm thinking about the specific user roles we're targeting. Could you clarify if we're focusing on all non-technical users or a specific subset, such as marketing managers or product owners?

Why it matters: This helps us tailor solutions to the most impactful user group. Expected answer: Focusing on product managers and marketing analysts. Impact on approach: Would prioritize features relevant to product metrics and campaign analysis.

  • Considering the evolving nature of data visualization, I'm curious about Amplitude's current feature adoption rates. Can you share which existing visualization tools are most and least used by non-technical users?

Why it matters: Identifies areas for improvement and successful features to build upon. Expected answer: Funnel analysis is popular, while cohort analysis is underutilized. Impact on approach: Would focus on simplifying cohort analysis and enhancing funnel visualizations.

  • Given the competitive landscape in analytics tools, I'm wondering about Amplitude's unique value proposition. What do users consistently cite as Amplitude's strengths compared to alternatives like Mixpanel or Google Analytics?

Why it matters: Helps align new features with Amplitude's core strengths. Expected answer: Depth of behavioral analytics and ease of data querying. Impact on approach: Would emphasize features that leverage behavioral insights and simplify complex queries.

  • Considering the goal of intuitive design, I'm interested in understanding the current onboarding process. How are non-technical users currently introduced to Amplitude's visualization tools?

Why it matters: Identifies potential gaps in user education and feature discovery. Expected answer: Basic product tour and documentation, but limited interactive guidance. Impact on approach: Would consider integrating more interactive, context-aware onboarding features.

Pause for Thought Organization

I'd like to take a minute to organize my thoughts before moving to the next step. This will help me structure a more coherent strategy based on the insights we've just discussed.

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