olivia van
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Atlas

A community-powered discovery map for Oregon that challenges algorithm-driven platforms by surfacing the places real people actually love.

Skills
UX Research, UX Design, Wireframing, Prototyping
Tools
Figma, Figjam
Timeline
March 2025 – May 2025

Overview

Atlas is a community-powered discovery app designed to counter algorithm-driven platforms. Instead of promoting restaurants and locations based on popularity, paid placement, or engagement metrics, Atlas elevates places that matter to real people. By crowdsourcing local knowledge, stories, and hidden gems across Oregon, Atlas creates a map shaped by everyday experiences, not algorithms or trends.

Problem

Discovery apps prioritize popularity, paid placements, and engagement metrics, causing Oregon's hidden gems, small businesses, and culturally meaningful spots to be buried under algorithm-driven results.

✦ Challenge ✦

Make a map worth following — one built from shared memories, insider tips, and community pride.

Competitor Analysis

Understood how algorithms shape visibility and create discovery gaps.

I found consistent patterns such as algorithms rewarding popularity, paid placements influencing ranking, and high-traffic urban areas dominating results. This competitive and algorithmic analysis helped reveal exactly where the current ecosystem falls short, and where an opportunity for Atlas could emerge.

✦ Competitors ✦

Strengths

  • Large databases of popular places
  • Algorithms to surface "top" experiences
  • Useful reviews and basic visibility signals
  • Helpful reminders and notifications

Weaknesses

  • Paid placements affect rankings
  • Algorithms favor trends, not authenticity
  • High-traffic urban areas dominate results
  • Community stories are too short or missing

User Research

The same gaps surfaced across every platform — and so did a clearer sense of what people actually wanted.

I looked at how people use existing discovery platforms — their goals, their frustrations, and the everyday moments when they go looking for somewhere new. Four gaps came up again and again:

Algorithms reinforce sameness.

Users repeatedly encounter the same trending restaurants or locations, creating a narrow view of what Oregon has to offer.

People trust people, not algorithms.

Users want honest, community-driven recommendations — not generic lists or sponsored placements.

Discovery should feel like exploration, not a transaction.

People want curiosity, storytelling, and emotional connection — not just a map of pins and ratings.

Community knowledge is fragile.

Local tips, memories, and hidden gems often live in conversations, not online; once forgotten, they disappear.

Read together, those gaps point to one thing: people don't want the most popular place, they want the one that means something. A spot with character, history, or a personal story feels more meaningful than a highly-rated one — people gravitate toward places that feel real, not filtered through engagement metrics or paid placements.

That's also what makes people want to contribute. Few enjoy writing long, Yelp-style reviews, but almost everyone has a small moment they'll happily share:

  • My dad always brought me here.
  • This coffee shop saved me during finals.
  • I stumbled on this and it changed my day.

What's missing from today's platforms is exactly that emotional context. People don't just want to know where a place is — they want to know why it matters, and those memories and feelings became the foundation for Atlas.

Opportunities

Turning key user pain points into targeted opportunity areas.

By understanding where mainstream platforms fail, four opportunities emerged — opportunities that center community knowledge, local voices, and the hidden places algorithms overlook.

Make discovery feel personal.

Allow users to share photos, stories, and emotional context — not just ratings — so each place carries a sense of who's been there.

Spotlight under-the-radar spots.

Create a feature that highlights spots that have potential but remain unseen due to low volume of reviews or lack of visibility.

Offer exploration that feels diverse, not repetitive.

Discover discovery paths like map view, categories, curated lists, proximity, and mood-based lists that expand what exploring can look like.

Preserve community memory.

Build a Lost & Found section that highlights places that have closed or personal significance, forgotten gems with ties to old reviews, and closed or inactive spots.

Solution

A community-powered map shaped by stories, not search rankings.

Atlas turns the four opportunity areas into a single discovery experience — one where small businesses, hidden gems, and culturally meaningful spots can finally surface on their own terms. Local knowledge becomes the default, not the exception.

01 — Story-driven place pages.

Each spot is shaped by photos, short memories, and personal context — discovery feels like reading a friend's recommendation, not scanning a review feed.

02 — Hidden gems spotlight.

A surfacing layer for places with potential but low review count, so quiet spots can find an audience under algorithm-favored results.

03 — Multiple discovery moods.

Map view, mood-based lists, curated collections, and proximity browsing keep exploring feeling varied, not extractive.

04 — Lost and Found archive.

A dedicated space for closed, forgotten, or culturally significant spots, preserving community memory before it disappears.

Prototype

A map that feels like wandering through a neighborhood with a friend.

The prototype brings Atlas' pillars together — story-driven places, hidden gems, varied discovery modes, and the Lost and Found archive — in a calm, exploratory interface that puts community context first.

Reflection

Designing against algorithms taught me to design for people first.

Atlas pushed me to question patterns I had taken for granted in discovery apps — ratings, rankings, sponsored placements. Once I started looking at the experience through the lens of small business owners and locals, the whole hierarchy of what mattered shifted. Stories outweighed star ratings, and proximity to memory felt more important than proximity in miles.

The biggest lesson was how fragile community knowledge really is. Once a place closes, a regular moves away, or a tip never makes it online, it's gone. That shaped the Lost and Found section and reframed Atlas from a discovery app into something closer to a living archive.

What worked

Leading with people's stories instead of features kept the product grounded — every decision traced back to a real user need, which made the experience feel honest.

What I'd change

Bringing local business owners into testing earlier — their perspective on visibility was the missing voice in the first round of research.

What's next

Expanding Atlas beyond Oregon and exploring how moderation can scale without turning community storytelling back into ranked content.