Fly Fan Series
Risk: Seasonal products are not guaranteed to be reordered.
Insight: Use consumer data to improve current model.
Execution: Added features to each iteration of product.
Outcome: Fly Fan went beyond seasonal to a fixed product.
I worked with internal teams and manufacturing partners to develop multiple versions of Fly Fan, spanning product design, packaging, and overall user experience. The goal was to improve performance and bring consistency across each version, while moving beyond a seasonal product. The result was a refined product line with updated packaging, clearer communication, and a more reliable experience driven by customer feedback and AI analysis.
APPROACH
Customer reviews were analyzed using AI to uncover recurring needs and pain points. Each version of the product was refined based on these insights, leading to stronger performance over time.
Fly Fan 1.0
Initial release focused on core function and portability. Established the baseline used for AI analysis of customer feedback and product performance.
Fly Fan 2.0
AI analysis of customer reviews identified coverage and flexibility issues. Updates improved airflow range and adjustability based on real usage patterns.
Fly Fan 3.0
AI surfaced recurring feedback on usability and nighttime effectiveness. A built-in light was added, along with refinements to improve stability and overall experience.
Classic Edition
Built-in power bank made it a 2-in-1 buy for outdoor meals, improving perceived value and driving stronger sell-through.
Strong Edition
Adjustable neck improved coverage over food in real setups, increasing usability and repeat demand, leading to a sell-out cycle.
Light Edition
Added lighting improved visibility for evening use, but the upgrade was less essential, so performance was moderate versus prior versions.
APPROACH
Using Ai as an advantage
Customer Data
Start with Real Signals
Customer reviews and usage data were used to understand how the product performs outside of controlled environments.
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AI Analysis
Turn Data into Direction
Turn Data into Direction
AI processed large sets of feedback to identify patterns and highlight the most important areas for improvement.
AI Analysis
Improve to Increase Sales
Each update focused on solving key issues and expanding use cases, leading to a stronger product and increased demand over time.
CREATIVE
Visual Language
From Seasonal to Repeat
Turning a moment-based product into a dependable performer.
Extending product life through measured, customer-led updates.
RESULTS
3
Purchase Cycles
1
Category Expansion
15%
Brand Awareness
