Signet iOS App Search

Search

Search is where shoppers go when they know what they want—or think they do. We built a mobile-first search that handled misspellings, surfaced relevant paths, and responded from the first keystroke. With predictive results, dynamic filters, and contextual errors, search became a smarter, more intuitive way to shop.

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Signet iOS App Search Hero
Signet iOS App Search Hero

We engineered search as a predictive layer, not a passive field. As users typed, results updated live with keyword predictions and category suggestions. Relevant product cards appeared in real time, helping users move from query to checkout with speed and clarity.

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Recent history and error handling made the experience forgiving and flexible. Smart corrections fixed typos, fallback suggestions prevented dead ends, and recent searches and viewed items kept prior progress just a tap away.

Recent history and error handling made the experience forgiving and flexible. Smart corrections fixed typos, fallback suggestions prevented dead ends, and recent searches and viewed items kept prior progress just a tap away.

Recent history and error handling made the experience forgiving and flexible. Smart corrections fixed typos, fallback suggestions prevented dead ends, and recent searches and viewed items kept prior progress just a tap away.

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Result pages carried over sort and filter logic from the PLP, letting users refine by price, category, or gender without breaking flow. Every interaction was tested, giving us the insight to evolve logic in step with real customer behavior.

Client

Signet Jewelers

Contribution

Search UX Design Error Handling Logic Sort & Filter Design Interaction Patterns

Framework

Figma Amor Design System Native iOS Patterns Data-Driven Logic

Results

Delivered a mobile search experience that reduced friction and increased conversion.

Supporting Features