How Ai-Powered SocialMaster Redefined Social Media Efficiency for Small Businesses
In todayâs digital landscape, a strong social media presence is crucial, but small businesses often struggle with consistency. To tackle this, we set out to design SocialMaster, an AI-powered tool that helps business owners to manage content and strategic planning effectively.
Challenge
How might we address the difficulties struggled by sales managers with the CRM's complex Lead Management System to enhance productivity and satisfaction?
My Role
Client
Social Master Inc.
Tools
Figma, Trello, Zoom, Slcak
Timeline
Jan - Mar 2024
My Role
UX/UI Designer, Product Thinking, Research, Iteration, Design & Prototyping.
The Team
1 Designer, 1 Product Owner, a team of developers.
Product Discovery & Validation
Our Hypothesis
We believed that small businesses needed a more efficient and simplistic way to manage their social media presence across multiple platforms.
Validating through interview
Interviews with 5 Participants to understand their challenges, goals, and behaviors.
Analyzing Market & Competitions
Competitive benchmarking revealed an over-saturated market competing on identical feature sets.
Key Findings
Competitive benchmarking revealed an over-saturated market competing on identical feature sets.
Problem Statement
Small businesses and solopreneurs need an AI tool to streamline social media, content management and provide growth insights.
Define Users & Ideation
Defining Personas and Goals
Consolidating our key insights into 2 goal-oriented personas.
Feature Prioritization
Limited resources forced us to prioritize our features based on impact and effort for MVP.
System Architecture
Key path scenarios that gets our users to their most prominent use cases within the least amount of steps.
Wire-framing
Consolidating our key insights into 2 goal-oriented personas.
Iterations
Usability Testing and Iterations
Conducted rapid iterations by testing the design with 5 users.
Final Design
AI-Powered Content Creation
Dashboard for overview of the all posts and brand health with Post Analytics
AI- based content suggestion to enhance content writing
Controlling multi-platform Posts and scheduling
Smart scheduling process across multiple platforms with preview mode
A drag-and-drop calendar that allows users to easily schedule posts across multiple platforms
Multi-level Performance Tracking & Analytics
This allows for easy tracking of personal and team KPIs without creating separate, complex reporting systems.
Individual users see their own metrics, while team leaders can view aggregated data.
Impact of Design
Testing Impacts
Product wasnât launched but we tested through simulations and validated
35%
Reduction in time users spend managing their social media compared to previous methods.
18%
Increase in the quantity and quality of content produced by the AI feature.
Understand
Context
Ricochet360 is a sales software platform that combines a CRM. Lead Management system was highly confusing, cluttered, complex for the sales manager.
Problem Definition
Out of many issues identified, 3 stood out as clear problems for users and the business:
Frustrating User Exeperince
The interface was cluttered, requiring multiple steps to perform basic tasks, which led to frustration and decreased productivity.
Managing Complex Data Table
The current system's data table was overcrowded, with excessive information presented in an unorganized manner. Users struggled to find relevant data quickly, leading to errors and inefficiencies.
Confusing Sorting, Filtering, and Actions
The interface was cluttered, requiring multiple steps to perform basic tasks, which led to frustration and decreased productivity.
User Problem
Sales managers struggle with a cluttered, confusing Lead Management System, which hampers their ability to manage leads efficiently.
User Problem
Users frequently encounter difficulties with the app, resulting in frustration and a loss of motivation to continue using it.
Business Problem
Sales managers struggle with a cluttered, confusing Lead Management System, which hampers their ability to manage leads efficiently.
Business Problem
Frustrated users abandoned the app at a rate of 58% within the first month.
Frustrated users abandoned the app at a rate of 58% within the first month.
Constraints
Lack of Analytics Data
The app lacks relevant analytics data for problem identification.
Lack of Large Sample
The app lacks relevant analytics data for problem identification.
Insufficient Traffic
The app lacks relevant analytics data for problem identification.
Design Solution
Simplifying Navigation
First we took care of the navigation
Simplified Navigation to Reduce Errors
Simplified navigation, reducing the number of steps to complete key tasks.
Enhanced visual hierarchy to make important information more accessible.
Optimized Data Table for Better Usability
Reorganized the data table to prioritize essential information.
Added customizable views to let users tailor the display to make faster, more informed decisions.
Simplified Sorting, Filtering, reducing API call time
Redesigned sorting and filtering options for clarity and ease of use.
Previously, filters had to be adjusted individually, causing multiple slow API calls. Now, all filters can be applied together in one action, reducing API call time.
Prototype
Usability Testing
Testing Results
Tested the design with 5 sales managers to assess its efficiency
Results
Testing Results
The project was a success on all fronts
User Satisfaction Score Increased
Enhanced design features and usability improvements led to a notable boost in user satisfaction.
Reduced Unnecessary Interactions
Streamlined workflows and simplified navigation minimized unnecessary interactions, improving overall efficiency.
Task Completion Time Reduced
Efficient design changes cut down task completion time, allowing users to accomplish tasks more quickly.
Task Efficiency Improved
The redesigned system optimized task processes, resulting in greater overall task efficiency and productivity.
Disover
Product Discovery
First we look into the existing design to understand its current experience
Interview and Appstore review Analysis
Interviews with 5 participants to understand th struggle of â¨â¨low motivations and progress.
Key Findings
Gathering insights from User Interview and App reviews we found:
Prioritizing Lifestyle Over Fitness
Users value convenience and efficiency in managing their diet within their lifestyle.
Tedious food logging
Users spent too much time manually inputting meals that discourages mostly.
Seeking Progress Beyond Numbers
Users want to see their progress in terms of overall well-being and lifestyle, not just numerical data.
Craving Emotional Rewards
Users need emotional rewards & recognition to stay motivated; without them, they lose interest & leave.
Refine Userflow
Restructuring the Navigation
Gathering insights from User Interview and App reviews we found:
Iteration
Iterations from Usability Tests
5 rounds of moderated tests informed iterations that helped refine the components
Iteration 1:
Iteration 2:
Solution
Before and After
Streamlining the Food Logging
Redesigned home page and navigation to simplify food logging
Last meal function to swiftly log frequently eaten foods
Integrated logging features for quicker entries of lunch, breakfast, and dinner meals
Replaced several tabs in the bottom navigation with a central button for seamless input addition, minimizing friction.
Clear Progress Visualization
Visualizing progress, growth and success to encourage to adapt healthy eating habit
Progress dashboard that display weight, calorie, and nutrient trends over time.
A streak system to encourage daily app use.
Non-numeric indicators to highlight broader lifestyle benefits beyond weight loss
3. Encouraging Users with incentives.
A points system rewards users for achieving goals consistently and keep engaged
In order to encourage users to use the app for every meal, I thought gamification could be a good incentive.
Users earn points by reaching specific milestones set for various challenges.
Points can be used to claim rewards.
Hook Model to build a health habit
Hook Model to build a healthy habitual eating tracking
The app leverages the Hook Model to encourage habitual use, helping the user stay mindful of their food intake and health goals over time.
Testing
A/B Testing Constraints
1
Insufficient Traffic for A/B Testing
We lacked the necessary traffic volume to effectively conduct A/B testing.
2
A/B Testing Takes Too Long
We didn't have thousands of years to wait for the results.
Usability Testing
Product Discovery & Validation
Outcomes
Testing Impacts
The project was a success on all fronts
68%
Reduction in food logging time
53%
23%
Churn reduced from 58% to 23% in first week
4.4
App Store rating up to 4.4 40+ reviews)
