SNAP A JOB
The mobile design prioritized speed, clarity, and trust, built around the constraint of one-handed operation. Low-Friction Confirmation: Post-capture, an intuitive card interface allowed users to quickly approve the AI's suggested job categories or swipe to refine them. Trust and Reliability: Essential information like service provider ratings and review summaries were immediately visible, supported by a secure, in-app messaging system for quote finalization.
client
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time line
The Ask
The core directive from the client was clear: revolutionize the traditional home service hiring model. We were tasked with designing a native mobile experience that leverages image recognition technology to eliminate manual input. The goal was to create a camera-first workflow that allows a user to capture a household issue (the 'snap') and instantly generate a structured job post, thereby dramatically reducing friction and improving the accuracy of service requests.
The Design
The core design objective was to create an interface that felt fast, clear, and trustworthy, engineered entirely around the crucial constraint of one-handed operation.
The main screen is a dedicated camera-first view, utilizing a dark, non-distracting theme to emphasize the visual task at hand. Clear guiding text "Take or upload a photo, we'll match you with the right pro" immediately informs the user of the simple value proposition.
the takeaway
The camera-first approach and user-centric design delivered significant, measurable improvements in user experience and platform efficiency. The success of Snap a Job demonstrated the power of leveraging mobile technology (the camera) to solve a fundamental friction point in the home services market, leading to a faster, more accurate, and more trustworthy hiring process.
