Context — Democratizing Data Analysis
Survey users often faced the frustration of having valuable data but being unable to extract meaningful insights. Existing analysis tools were too complex for non-technical users or too basic for advanced use cases.
Results visualization in Suonper was born to bridge this gap, allowing anyone to understand and communicate their survey findings effectively.
My role focused on designing an experience that transformed raw data into clear, actionable visual narratives.
I have all this data but I don't know what it means or how to present it to my team.
— Market researcher
The Problem — Data Without Context
Users had access to survey responses but lacked tools to transform this data into useful and presentable insights.
Research & Discovery
We interviewed data analysts, researchers, executives, and occasional users to understand how they consumed and presented survey information.
Users Interviewed
28 participants
Chart Types Analyzed
15+ formats
Use Cases Identified
20+ scenarios
Key Findings
Insights that shaped the visualization
Need for Narratives
Users wanted data to tell a story, not just show numbers.
Presentation Flexibility
Different audiences required different levels of detail and types of visualization.
Contextual Interactivity
Users wanted to explore data without getting lost in complexity.
Solution Strategy
The solution focused on creating intelligent visualizations that automatically suggested the best chart type and narrative for each dataset.
Design Solution
Key features and visualization experience
Intelligent Visualizations
System that automatically suggests the best chart type based on data type and questions.
Automatic Narratives
Automatic generation of insights and conclusions based on patterns in the data.
Contextual Interactivity
Data exploration with detail levels that adapt to user context.
Flexible Export
Multiple export formats for different audiences and uses.
Results & Impact
The visualization platform significantly transformed how users interpret and present survey data:
Analysis Time
60% reduction
Data Understanding
85% improvement
Reports Generated
3000+ monthly
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Intelligent automation reduces cognitive load without sacrificing control.
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Automatic narratives must be editable to maintain user voice.
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Interactivity should be progressive to not overwhelm novice users.