TaskFlow

Client

TaskFlow

Services

UX/UI Design

Industry

Technology

Year

2024

Infos

TaskFlow is an AI-powered platform that connects businesses with top freelancers, streamlining talent discovery and boosting productivity. With personalized analytics and a customizable interface, TaskFlow makes finding the perfect expert for any task simple and efficient

Overview

Project: TaskFlow – AI-powered Freelance Platform Objective: Streamline the connection between businesses and top freelancers by providing personalized talent recommendations, a customizable task management dashboard, and real-time collaboration tools.

My role 🤠

My role 🤠

- UX Research Coordination: Designed and conducted user interviews, usability tests, and surveys. - Data Synthesis: Analyzed both qualitative feedback (interviews) and quantitative metrics (task completion rates, clicks on AI recommendations). - Prototyping & Iteration: Collaborated with the design team to refine user flows, focusing on AI-driven talent matching, task management, and onboarding.

Key Challenges

Key Challenges

1️⃣ Difficulty Finding the Right Talent - Clients struggled to navigate an overwhelming number of freelancers, lacking robust, personalized matching. - Freelancers found it hard to stand out or locate suitable tasks that matched their skills. 2️⃣ Complexity in Managing Multiple Tasks - Clients often run multiple projects simultaneously and needed a clear overview to track deadlines, budgets, and progress. - Lack of a centralized system led to disorganization and missed deadlines. 3️⃣ Lack of Personalized Insights - Both freelancers and clients wanted data-driven recommendations to optimize their workflows (e.g., time tracking, performance metrics). - Absence of these insights led to slower decision-making and less effective collaboration. 4️⃣ Onboarding Process Challenges - New users were confused about whether to sign up as a “Seeker” (client) or “Talent” (freelancer). - A complicated sign-up flow increased drop-off rates among first-time users.

Research & Methodology

Research & Methodology

- User Interviews: 12 potential users (a mix of freelancers and clients) to uncover core expectations, frustrations, and desired features. - Usability Testing: 25 participants tested TaskFlow over a 2-week period, exploring the AI-driven talent match, dashboard, and communication tools. - Surveys & Feedback Forms: Post-test questionnaires measuring satisfaction, usability, and suggestions for improvement. - Analytics Tracking: Monitored task completion rates, clicks on AI recommendations, and interaction with communication features.

Key Insights

Key Insights

1️⃣ Personalized Matching is Critical: Users preferred a curated list of relevant freelancers or tasks, saving significant time compared to generic search results. 2️⃣ Streamlined Project Oversight: A centralized dashboard improves control over multiple tasks, deadlines, and communication threads. 3️⃣ AI Assistant Boosts Efficiency: Real-time support from an AI assistant (FLO) helped with quick decision-making and provided actionable tips. 4️⃣ Smoother Onboarding Increases Retention: Clarifying the role selection (Seeker vs. Talent) and simplifying initial steps reduced confusion.

Solutions

Solutions

1️⃣ AI-Driven Talent Matching - Integrated an algorithm to recommend freelancers based on past work, skill sets, and project requirements. 📈 Outcome: 80% of testers felt the suggestions were highly relevant to their specific needs. 2️⃣ Customizable Task Management Dashboard - Created a modular dashboard showing active projects, deadlines, milestones, and communication threads, all in one place. 📈 Outcome: 85% of participants reported feeling more in control of their tasks. 3️⃣ Smart Chat with FLO (AI Assistant) - Implemented an on-demand assistant to provide real-time support, answer user queries, and offer best practices. 📈 Outcome: 70% of testers utilized FLO’s suggestions to optimize their workflow and meet deadlines. 4️⃣ Simplified Onboarding Process - Restructured sign-up flow with clear prompts for Seeker vs. Talent roles, plus interactive tutorials. 📈 Outcome: Onboarding completion rates increased by 30%, reducing early drop-offs.

Testing & Results

Testing & Results

👥 Participants: 25 testers (both freelancers and business clients) ⌛ Duration: 2 weeks of prototype usage 📌 Focus Areas: AI-driven matching, dashboard, communication flow, and onboarding

10:30:20 AM

Time is ticking!
reach out today and let’s create something great.

or

10:30:20 AM

Time is ticking!
reach out today and let’s create something great.

or

10:30:20 AM

Time is ticking!
reach out today and let’s create something great.

or