Pathloom

Redesigning the outdoor discovery experience for hikers, climbers, and adventurers

Pathloom

Redesigning the outdoor discovery experience for hikers, climbers, and adventurers

Timeline

Mar 2021 – Mar 2022 | 12 months

Tools

Figma, Adobe Illustrator, AirTable

Team

Founder/CEO, Engineers, PM & Junior Designer and interns

My Role

Founding → Lead Designer / Advisor

Overview

Pathloom is a trip-planning platform designed to simplify outdoor adventure planning by providing a centralized hub for hikers, campers, and explorers.

My Contributions

I joined Pathloom as its founding designer with no prior design foundation to build on — no system, no components, no visual language. I owned the end-to-end product design process through the full MVP phase, from initial research and competitive analysis through to a production-ready design system and high-fidelity specs handed to engineering. As the team grew, my scope expanded to managing junior designers and interns, and advising across marketing and visual design to ensure brand consistency beyond the core product.

01 / Discovery

Understand the Pain Points

50%

of U.S. campers found it difficult to find a campsite in 2021

5+ hrs

spent by nearly half of campers planning their trips

Multiple

apps required for research and navigation

Key Insight

Planning outdoor trips is a fragmented experience. Users jump between multiple apps and websites, leading to frustration and decision fatigue.

Competitive Analysis

To identify gaps in outdoor discovery platforms, I worked with leadership and analyzed competitors like AllTrails and Hip Camp. Key findings revealed:

Fragmented Datasets

Most apps focused narrowly on hiking or camping, forcing users to juggle multiple tools for trip planning.

Static Recommendations

Algorithms lacked contextual awareness (e.g., weather, skill level), leading to unreliable or generic suggestions.

Mobile Usability Gaps

Weak mobile-first experiences especially for on-the-go trip planning.

02 / Define

Understand the Users

Personas

Through research synthesis, we developed three primary personas that anchored every design decision throughout the project. These personas represented fundamentally different relationships with information density, which directly shaped how we designed the filtering system, destination profiles, and Smart Planning flow.

User Journey Mapping

We mapped the complete user journey from trail filtering to offline saving, ensuring every design decision was rooted in observed behaviors.

03 / Develop

Design System

When I joined the team, the app urgently needed consistent visual guidelines and reusable components to support scalability and efficiency, so I established a comprehensive design system before translating wireframes into high-fidelity mockups.

Primary Colors

Functional Colors

Designed to differentiate between map layers and conditions—selected for clarity, accessibility, and harmony.

Typography

I selected Roboto for its versatility, readability, and strong performance across digital platforms. I then established a clear type scale, defining styles for headings, subheadings, body text, and UI labels to ensure consistency across screens.

Iconography

I curated and refined a custom set focused on simplicity and clarity, designed to scale well across different sizes and use cases.

Components

I built the entire library of reusable components that are aligned with the brand identity while maintaining functional clarity.

04 / Delivered Key Features

Detailed Filtering

Pain Points

Preliminary user research revealed that many users struggled to find suitable trips due to limited and hard-to-access filters. Participants often mentioned frustration when sorting through irrelevant results, with key criteria like trail difficulty or campsite amenities either missing or too hidden to be useful.

Solution

One of the key design solutions in Pathloom is the detailed filtering system that is easily accessible when browsing. Within the primary navigation, users can quickly choose between hiking or camping, with specific filters for each.

Users in beta testing reported meaningfully faster decisions when filtering, with key criteria like trail difficulty and campsite amenities surfaced upfront rather than buried — eliminating the back-and-forth that previously defined the planning experience.

Smart Planning

Pain Points

Novice adventurers often felt overwhelmed by endless options, while experienced users wasted time manually cross-referencing trails and campsites.

Solution

Smart Planning simplifies trip creation by guiding users through survey-style forms that capture preferences such as activity type, trip duration, and skill level, then generating a personalized itinerary with recommended trails, campsites, and activities based on those inputs.

The final design delivers a ready-to-use, personalized itinerary organized by day with essential details. Usability testing confirmed reduced planning time and increased user confidence, with users valuing the tailored recommendations and lower decision fatigue.

Comprehensive Profiles

Pain Points

Users were forced to consult multiple sources to gather essential trip information, creating frustration and decision paralysis.

Solution

The comprehensive destination profiles in Pathloom are designed to equip users with all the information they need to plan confidently and efficiently:

At-A-Glance Overview

Core metrics like distance, elevation gain, estimated duration, plus accessibility considerations

Data-Driven Visualizations

  • Interactive elevation chart showing difficulty spikes
  • Elevation charts helped 72% of test users better assess difficulty before booking
  • Campground maps with site-specific details (shade, privacy, proximity to water)

Community Reviews & Insights

  • Firsthand accounts from other users about trail and campsite experiences
  • Information on current conditions, crowd levels, and seasonal tips
  • Helps users set expectations and make more confident decisions during trip planning

Weather & Coverage

  • Current conditions and 3-day forecast overlays for trip timing
  • Historical climate data (e.g., “Typical May temperatures: 45°F–68°F”) to support seasonal planning
  • Mobile coverage availability by service providers to help users anticipate connectivity
05 / Results

Impact & Outcomes

35%

Reduction

in trip planning time — based on analytics data and direct feedback from the team working with beta users, streamlining filters and unifying datasets across the experience meaningfully cut the time users spent going from discovery to a finalized itinerary.

40%

Fewer

misclicks in critical flows — browsing and filtering interactions improved significantly, validated through usability testing and internal analysis of beta user behavior.

30%

Faster

design iteration for post-MVP features — a direct result of the scalable component library, enabling the team to move from wireframe to high-fidelity significantly faster on subsequent features.

06 / Reflect

Key Learnings

Start with the pain points

The decision to prioritize filtering above everything else in the MVP came directly from what users told us was most broken — not from what felt most interesting to design. That discipline of returning to the pain before adding scope shaped every prioritization call throughout the engagement.

Test early, test often

The Smart Planning flow went through multiple rounds of iteration before it felt right. Survey-style forms that feel natural on mobile are harder to get right than they look — early testing caught friction points that would have been expensive to fix post-launch.

Simplicity wins

The most impactful version of the comprehensive destination profiles wasn’t the most feature-rich one. Cutting to the information users actually needed to make a decision — and presenting it at-a-glance — had more impact on confidence and planning speed than any additional data layer we considered adding.