AllTrails Case Study
AllTrails helps people find and plan hikes. It’s popular because of its maps and filters, but I wanted to test whether these features really work for different types of users. The goal of this study was to surface usability issues that get in the way of planning safe and enjoyable outdoor experiences.
Research Details
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To address our research questions, I created four user tasks, each targeting one or more topics, such as finding a winter hike or logging a trail. Participants, ranging from casual outdoorspeople to experienced hikers and national park visitors, walked through each task while thinking aloud, explaining their actions and decisions. This approach provided both quantitative data, like filter selections and offline map downloads, and qualitative insights into motivations and behaviors. Sessions were conducted online via Microsoft Teams and recorded for analysis. When users worked quickly, I asked probing questions, such as ‘What made you click that first?’ or ‘Where would you move this item?’ to capture their thought process in detail.
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Users understood the search, filter, and review features but ran into usability issues that slowed them down. The winter filter was hard to find, and the main search bar didn’t handle typos well. Sorting labels like “Most Popular” were confusing, often hiding highly rated but less-visited hikes.
Logging hikes and leaving reviews felt easy and enjoyable, but users wanted photo uploads, better segment logging, and more detailed tags. Trail length filters worked, but maps were inefficient, paywalls limited info, and comparisons between hikes weren’t possible.
Overall, users liked the core features but wanted clearer navigation, better labels, more flexible search, and stronger filtering and comparison tools.
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Not all feedback was negative. Tasks were rated fairly easy, averaging 6.25 on the 7-point SEQ scale. The first task was the toughest, but users completed later ones more smoothly. New users gained confidence, with two first-time participants reporting higher post-test confidence scores. Participants especially liked the trail length filter and how easy it was to leave quick post-hike reviews.
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Here’s how I would address the key issues seen in testing:
These fixes focus on improving usability and the overall user experience. I would clarify trail sorting and ratings, relabeling “Most Popular” as “Most Visited” or “Trending” and highlighting star-rating filters. Login and search flows were streamlined, seasonal filters were surfaced, and side-by-side trail comparisons were added. Reviews and logging were improved with photo uploads, flexible tagging, and a clear display of hike and review dates. I'd also optimized trail length and distance features and enhanced overall usability with larger icons, standardized labels, and tooltips for first-time users.
Research Documents
This screener helps me find users to do usability testing.The average user will be between 20 and 30 years old, with a variation across all genders. All Trail users have an interest in the outdoors. Still, this interest can vary from beginners who are primarily interested in smaller hikes in their area to national park enthusiasts planning their hiking trips, and then extend to extreme backpacking types of outdoors enthusiasts. Many people stumble upon AllTrails through referrals from other outdoors enthusiasts or while searching for specific trails.
This form is the research consent form used before sessions begin. It explains the study’s goals, what data will be collected, participants’ rights, and obtains participants’ permission for recording, note-taking, and data use (anonymized or aggregated) in the research.
This document summarizes the findings from user research conducted to evaluate the app’s usability. It captures participant feedback, key insights, and task performance data to inform the next phase of the UX case study by turning research outcomes into design recommendations and iterative improvements.