Soar

Dating & Friendship App for Autistic Individuals

Role

UX Designer &
Researcher

Timeline

4 Months

Team

5-Person Team

Tools

Figma, MAXQDA, Maze, Illustrator, Miro

Overview

Soar is a dating and friendship app created to help autistic individuals build friendships and romantic connections in a comfortable, secure environment.

The Challenge

How might we create a dating app that feels safe, structured, and supportive for autistic users?

Typical dating apps often overlook accessibility needs and sensory comfort. Our goal was to design an app that centers empathy, user safety, and sensory flexibility from the ground up.

The Outcome

A secure, community-centered social platform that encourages authentic connections and ensures users always feel safe and supported.

Understanding The Need

Designing for trust, comfort, and connection

Autistic individuals often encounter barriers in traditional dating and friendship apps, including overstimulation, stigma, and lack of safety controls. Research aimed to identify how to create a platform that feels trustworthy, inclusive, and easy to navigate.

Research Methods

Online ethnography using public forum discussions
Qualitative coding and thematic analysis in MAXQDA
Focus group interviews with autistic participants

Key Insights

Safety and verification are essential for building trust.
Predictable and sensory-friendly design supports comfort.
Shared-interest events feel more meaningful than swiping.
Clear communication tools reduce anxiety and confusion.

“All my life I’ve never been able to maintain a relationship.” — Focus group participant

Recurring themes of trust, masking, and sensory comfort emerged across 50+ quotes

Defining The User

A user persona was created to represent the core audience and inform the app’s design decisions.

Design Goals

Insights from research shaped four main design goals guiding Soar’s experience and interface design.

Prioritize Safety

Build user trust through verification and moderation.

Enable Comfort

Offer adjustable visuals, haptics, and sounds.

Foster Connections

Center the experience around shared interests and events.

Build Confidence

Provide conversation prompts and clear feedback systems.

Affinity Diagram

Affinity mapping helped prioritize safety, communication, and sensory comfort as top design pillars.

Miro Board

Design Process

Empathize

Define

Ideate

Prototype

Test

The Soar design process centered on understanding how autistic users navigate online spaces and what helps them feel supported, safe, and in control. The team began with user research, conducting qualitative coding and interviews, to uncover common frustrations with existing dating apps and identify opportunities to create a more structured, comfortable experience.

From there, the team sketched early wireframes exploring layouts that emphasized clarity, predictable interaction patterns, and user choice. Through several testing rounds, feedback guided refinements in flow, tone, and accessibility. Every design decision was shaped by a shared goal: building a dating platform that encourages authenticity and connection while fostering a sense of safety and trust.

Card Sorting

Lo-Fi Wireframes

Design Solutions

Core Design Solutions

Secure Sign-In

Problem

Users felt uneasy about fake accounts and wanted reassurance that the people they connected with were genuine.

Solution

Added photo ID and phone verification during onboarding to confirm each user’s identity. The process uses clear steps and calm, friendly language to feel easy and trustworthy rather than strict.

Outcome

100% task success and 99% usability score

Participants said the verification made them feel safer and more confident using the app.

Event-Based Connections

Problem

Swiping felt impersonal and stressful. Users preferred structured, shared-interest ways to meet people.

Solution

Replaced swiping with local events based on common interests. Each event shows details like lighting, sound, and crowd size so users can choose what fits their comfort level.

Outcome

88% success rate for event navigation

Users said the new design felt “more real” and made socializing less overwhelming.

AI Chatbots & Prompts

Problem

Many users struggled to start conversations and worried about oversharing personal info.

Solution

Introduced conversation prompts and an AI chatbot that gently checks before sending private details. The tone stays friendly and helpful, not robotic or restrictive.

Outcome

80% usability score

Users said the chatbot helped them feel supported and more comfortable chatting.

Usability Testing

Method

Remote Maze testing was conducted with 10 autistic participants to evaluate clarity, accessibility, and emotional comfort.

Tasks Tested

1. Sign-Up & Verify ID

2. Message Another User

3. Explore an Event & View Attendees

Key Results

Task

Usability Score

Success Rate

Sign-up & ID verification

99%

100%

Messaging Another User

80%

88%

Event Navigation

87%

88%

High success rates show users found key features easy to navigate and felt confident using verified and sensory tools.

Participant Feedback

“Verification made me feel safer.”
“Sensory details helped me decide if I could handle an event.”
“The chat felt respectful and comfortable.”

Overall Insight

Soar’s verification and sensory features helped users feel more in control and confident while navigating the app.

Task completion summary (Maze)

Page heatmaps

Page heatmaps (bottom)

Reflection and Impact

Soar shows how accessibility and empathy can work together to create truly welcoming digital spaces. Designing for autistic users required looking beyond standard UI patterns, every element needed to feel calm, predictable, and trustworthy.

This project reinforced how inclusive design benefits everyone, not just one user group. Features like sensory customization and verified onboarding, originally built for neurodiverse users, also improved comfort and confidence for all testers.

The process also highlighted the importance of research-driven design, user insights guided every decision, from the event structure to the tone of the chatbot.