| The first design did not tell you: * Where any of these trails are. Are they even in the same area? State? Country? No idea. * If any of the trails are any good * Who those people are and why you should care. * Whether those reports deserve your attention (no difference between "it was nice" and "this is closed due to a landslide yesterday") Honestly the map UI is pretty terrible too. It still doesn't tell you anything useful about the trails. What does the duration even mean? Is that how far away they are from you? How long it takes to ski them? How long ago the most recent report was? No idea. It feels like the UX was built by someone who's never tried to actually find a place to go skiing in a new area. I mean, this isn't even a new problem... just copy an existing app: Trailforks already does it pretty well:
https://www.trailforks.com/region/bend/?activitytype=1&z=9.3... (most popular mountain bike routes near a place) Alltrails too, for hiking:
https://www.alltrails.com/ shows you local favorites, super straightforward but tells you all the essentials (these are closeby, they're favorites because they're highly reviewed, here's how long they are, and a pretty picture) or the map view: https://www.alltrails.com/explore?b_tl_lat=44.16336969078622... Not only were those the wrong lessons to draw from the two UIs, I think the bigger underlying issue is that the designer doesn't know how users actually look for places to go. Even when eventually given that insight, the conclusion shouldn't be "show a map instead of a list" but "I need to better understand what criteria are important for finding a place to go." Hint: It's not the recency of trail reports. Maybe the trail reports view is just one screen out of many, and if so this would make more sense, but still... just look at how data-rich and useful the trailforks trail report view is: https://www.trailforks.com/region/bend/reports/ You can instantly pick a trail, or an area, or an activity/difficulty/whatever and see whether it's OK to go there. Much more useful than combing through a bunch of individual reports from anonymous internet people on a timeline. It's the aggregate data that's helpful. |