Wireframes
The first job was getting the highest-value actions clear. Open the map fast. See what is recent. Filter by species and area. Understand how to use the information responsibly.
Visitors were losing their best hours chasing crowds, brake lights, and scattered information. The product had to give people a better starting point without turning wildlife into a live-tracking spectacle. It also had to work where a lot of products fail, on a phone, in the parks, with limited service and very little patience for friction.
The platform was built as a planning tool, not a live feed. That meant delayed field observations, general viewing context, species and area filters, safety guidance inside the product, and a mobile map that can cache before the day starts.
Replaced blind searching with a structured wildlife map that shows recent activity, date stamps, species, and viewing context in one place.
Added species and area filters so visitors could plan around what they actually wanted to see instead of driving without a clear starting point.
Built safety guidance and responsible viewing reminders into the product so the right behavior lived inside the experience.
Made the map practical in the field by allowing it to cache ahead of time and stay useful even when service drops.
Needs a better starting point, recent wildlife context, and clear guidance so the day does not get wasted chasing crowds or bad information.
Needs fast access to recent activity, species filters, field notes, and a mobile experience that still works when service gets weak.
The first job was getting the highest-value actions clear. Open the map fast. See what is recent. Filter by species and area. Understand how to use the information responsibly.
Once the structure was set, the product moved into build as a cleaner, faster experience designed for real use in and around the parks.
This product gets used on the move, often in low-signal areas. So the mobile experience had to work there first.
The experience avoids live tracking on purpose. Delayed observations and built-in guidance help reduce crowd pressure and support safer behavior around animals.
The map had to work from a phone, in low-service areas, and in short moments between stops.
Users needed to understand the value in seconds: recent wildlife context, better trip planning, useful filters, and safety guidance that travels with them.
Every screen was designed to make the next action easier to understand, from opening the map to filtering what matters and planning the day.
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