[Case 07]

Made it easy for users to discover and connect with communities

Social app

Community Connect

A platform for discovering and connecting with like-minded people

[Project Overview]

The Community Connect is a platform designed to help users discover, join, and engage with online communities based on their interests. Users can explore diverse feeds, subscribe to channels, and interact through real-time messaging. The goal was to create a seamless space where people can connect, share, and build meaningful digital communities.

[Problem Statement]

People often struggle to find communities that match their interests, as content and conversations are scattered across multiple platforms. This makes it difficult to connect with like-minded individuals and engage in meaningful discussions. Users needed a single place where they could easily discover communities, explore relevant content, and interact through messaging and channels.

[Industry]

Social app

[My Role]

Product Designer

[Platforms]

Ios and Android

[Timeline]

2021

[Persona]

Jhon Roberts

Marketing Manager

Age: 29

Location: New York City

Tech Proficiency: Moderate

Gender: Male

[Goal]

Quickly complete purchases without interruptions.

Access accurate product details and a seamless payment process.

Trust the platform with his payment and personal information.

[Frustrations]

Quickly complete purchases without interruptions.

Access accurate product details and a seamless payment process.

Trust the platform with his payment and personal information.

[Process]

[01] User Research

Conducted interviews with 15 frequent users to uncover frustrations and preferences.

Analyzed behavioral data to identify bottlenecks in the current flow.

Benchmarked against competitors to identify best practices for checkout flows.

[01] User Research

Conducted interviews with 15 frequent users to uncover frustrations and preferences.

Analyzed behavioral data to identify bottlenecks in the current flow.

Benchmarked against competitors to identify best practices for checkout flows.

[01] User Research

Conducted interviews with 15 frequent users to uncover frustrations and preferences.

Analyzed behavioral data to identify bottlenecks in the current flow.

Benchmarked against competitors to identify best practices for checkout flows.

[01] User Research

Conducted interviews with 15 frequent users to uncover frustrations and preferences.

Analyzed behavioral data to identify bottlenecks in the current flow.

Benchmarked against competitors to identify best practices for checkout flows.

[01] User Research

Conducted interviews with 15 frequent users to uncover frustrations and preferences.

Analyzed behavioral data to identify bottlenecks in the current flow.

Benchmarked against competitors to identify best practices for checkout flows.

[01] User Research

Conducted interviews with 15 frequent users to uncover frustrations and preferences.

Analyzed behavioral data to identify bottlenecks in the current flow.

Benchmarked against competitors to identify best practices for checkout flows.

[01] User Research

Conducted interviews with 15 frequent users to uncover frustrations and preferences.

Analyzed behavioral data to identify bottlenecks in the current flow.

Benchmarked against competitors to identify best practices for checkout flows.

[01] User Research

Conducted interviews with 15 frequent users to uncover frustrations and preferences.

Analyzed behavioral data to identify bottlenecks in the current flow.

Benchmarked against competitors to identify best practices for checkout flows.

[01] User Research

Conducted interviews with 15 frequent users to uncover frustrations and preferences.

Analyzed behavioral data to identify bottlenecks in the current flow.

Benchmarked against competitors to identify best practices for checkout flows.

[01] User Research

Conducted interviews with 15 frequent users to uncover frustrations and preferences.

Analyzed behavioral data to identify bottlenecks in the current flow.

Benchmarked against competitors to identify best practices for checkout flows.

[01] User Research

Conducted interviews with 15 frequent users to uncover frustrations and preferences.

Analyzed behavioral data to identify bottlenecks in the current flow.

Benchmarked against competitors to identify best practices for checkout flows.

[01] User Research

Conducted interviews with 15 frequent users to uncover frustrations and preferences.

Analyzed behavioral data to identify bottlenecks in the current flow.

Benchmarked against competitors to identify best practices for checkout flows.

[Outcome]

25% increase in checkout completion rates.
30% reduction in cart abandonment on mobile devices.
30% reduction in cart abandonment on mobile devices.

[Key Learnings]

Human-Centered Approach

Designing experiences that prioritize user needs and behaviors.

Human-Centered Approach

Designing experiences that prioritize user needs and behaviors.

Human-Centered Approach

Designing experiences that prioritize user needs and behaviors.

Human-Centered Approach

Designing experiences that prioritize user needs and behaviors.

Human-Centered Approach

Designing experiences that prioritize user needs and behaviors.

Human-Centered Approach

Designing experiences that prioritize user needs and behaviors.

Human-Centered Approach

Designing experiences that prioritize user needs and behaviors.

Human-Centered Approach

Designing experiences that prioritize user needs and behaviors.

Human-Centered Approach

Designing experiences that prioritize user needs and behaviors.

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