Company
Synexa Global Private Limited
Tools
Figma
Role
Designer
Team
Product Managers
2 Designers
Developers
QA
Year
2025
Duration
4 months
Unclear career readiness
scattered learning
lack of personalised guidance
As the Product Designer for NxtAgent, I led the end-to-end UX and UI design of an AI-powered Industry Readiness Platform that helps students assess, improve, and track their employability skills.
I collaborated closely with product managers, AI engineers, developers, and stakeholders to translate business goals and user needs into intuitive, scalable product experiences. My responsibilities included conducting user research, defining information architecture, mapping user journeys, designing interaction flows, creating wireframes and high-fidelity interfaces, and building a reusable design system to ensure consistency across the platform.
I designed key product experiences including the My Story, My Baseline, My Calendar, Dashboard, AI Learning Assistant, Assessment Modules, Subject Learning, Analytics, and Personalized Improvement workflows. Throughout the project, I worked with engineering teams to validate feasibility, iterate based on feedback, and deliver production-ready designs that balanced user needs, technical constraints, and business objectives.
Key Responsibilities
Led end-to-end UX/UI design across multiple product modules.
Conducted user research and synthesized insights into actionable design decisions.
Defined information architecture, user flows, and interaction patterns.
Designed wireframes, prototypes, and production-ready high-fidelity interfaces in Figma.
Built and maintained a scalable design system and reusable component library.
Collaborated with cross-functional teams to align product vision, AI capabilities, and engineering feasibility.
Supported implementation through design reviews, developer handoff, and iterative usability improvements.
Research
Before designing the Academic Agent, we sought to understand how students prepared for academic assessments and why many struggled to maintain consistent learning progress. We collaborated with students, faculty members, and product stakeholders to identify the biggest barriers in the existing learning experience.
Research Methods
Key Insights
Students Lacked a structured daily learning plan
Studentes often knew what subjects they needed to study but struggled to decide where to begin each day. They frequently switched between multiple resources without a clear sense of priority, resulting in inconsistent learning habits
Design Opportunity
Provide a centralized dashboard that recommends today's activities, upcoming assessments, and progress at a glance.
Academic performance data was difficult to interpret
Traditional scorecards showed marks but rarely explained why students performed poorly or which concepts required attention. Students found it difficult to translate assessment results into meaningful next steps.
Design Opportunity
Present assessment outcomes using visual progress indicators, topic-level breakdowns, and personalized improvement recommendations.
Faculty struggled to monitor student progress at scale
Faculty members needed a quick way to identify students who required additional support. Existing workflows required reviewing multiple reports individually, making it difficult to monitor overall classroom performance.
Design Opportunity
Design dashboards and reports that summarize student progress while allowing instructors to drill down into individual performance when necessary.
Learning lacked continuity
Students typically prepared only before examinations or assessments rather than developing consistent study routines. Long gaps between learning sessions negatively impacted retention and confidence.
Design Opportunity
Introduce learning calendars, progress tracking, streaks, and reminders to encourage regular engagement and build long-term study habits.
Students wanted immediate academic support
When students encountered difficult concepts, they often left the platform to search for explanations elsewhere. This interrupted their learning flow and reduced engagement.
Design Opportunity
Integrate an AI-powered academic assistant capable of answering questions, explaining concepts, and guiding students without requiring them to leave the platform.
Design Principles Derived from Research
The research informed five core principles that guided every design decision throughout the Academic Agent
Provide clarity over complexity by surfacing the most important information first.
Turn assessment data into actionable guidance instead of static scores.
Encourage consistent learning habits through planning and progress visualization.
Personalize the experience based on each student's strengths, weaknesses, and goals.
Keep academic support contextual by embedding AI assistance directly within the learning workflow.
Design Goals
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Deliver Personalized AI-Guided Learning
Leverage AI to recommend relevant learning modules, answer academic questions, and adapt the learning experience based on each student's performance and goals.
Information Architecture and User Flow
To ensure consistency across dashboards, assessments, reports, AI experiences, and future modules, I created a reusable design system that accelerated design and maintained a unified user experience across the platform.
Major Design Decisions
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Designing a Personalized Learning Dashboard
Challenge. Students often logged into the platform without knowing where to begin. Progress, upcoming activities, and recommendations were scattered across different modules, making it difficult to prioritize learning.
Design Decision. We designed a centralized dashboard that surfaces the most relevant information—learning progress, upcoming tasks, calendar events, recent activity, and AI recommendations—within a single view.
Why?. This reduces cognitive load and helps students immediately understand their current status and the next best action without navigating through multiple screens.
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Results in Actionable Insights
Challenge. Traditional assessment reports provided scores but offered little guidance on how students could improve.
Design Decision. Instead of presenting raw scores, we grouped performance into meaningful sections such as Industry Readiness, Technical Skills, Communication, and Improvement Areas, accompanied by personalized recommendations.
Why?. Students can quickly identify strengths, understand weaknesses, and focus on the most impactful areas for improvement.
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Integrating AI as a Contextual Learning Assistant
Challenge. Students frequently left the platform to search for explanations, disrupting their learning flow
Design Decision. We embedded an AI-powered Academic Agent capable of answering questions, explaining concepts, and providing contextual guidance directly within the learning experience.
Why?. Keeping AI support inside the platform enables uninterrupted learning, reduces context switching, and provides immediate academic assistance when students need it most.
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Building the Design System
Challenge. The platform includes dashboards, assessments, analytics, AI interactions, reports, calendars, and multiple learning modules. Without consistency, the experience would become fragmented as the product evolved.
Design Decision. We developed a reusable design system with standardized components, typography, color tokens, spacing, charts, and interaction patterns.
Why?. A design system improves usability, accelerates design and development, and ensures a consistent experience across all Academic Agent modules while supporting future scalability.
HI FI Designs
Guided by user research and product goals, the final designs bring together personalized learning, progress tracking, AI-powered assistance, and performance insights into a unified academic experience.
Design for Continuous
Growth
My Calendar
Plan, prioritize, and stay on track with a personalized academic schedule.
My Baseline
Understand your current readiness through AI-driven assessments and actionable insights.
My Story
Reflect on your progress with a visual timeline of achievements, learning milestones, and skill development.
Academic Learning
Experience
Designed a comprehensive dashboard experience that enables students to understand their current readiness, organize learning, monitor progress, and receive AI-driven recommendations—all from a single platform.
My Subjects
A centralized learning hub that provides an overview of enrolled subjects, progress, and recommended next steps.
Learning Analytics
Visualizes study patterns, engagement, and subject performance to help students monitor their academic growth.
Study Workspace
A focused learning environment where students access modules, resources, and assignments in one organized workspace.
Learning Modules
Structures course content into manageable topics with clear progress tracking for continuous learning.
AI Assessment Report
Designed a comprehensive dashboard experience that enables students to understand their current readiness, organize learning, monitor progress, and receive AI-driven recommendations—all from a single platform.
Overall Analysis
An AI-powered performance summary that highlights key competencies, identifies learning gaps, and provides personalized recommendations to guide continuous improvement.
Question-wise Analysis
A detailed breakdown of every assessment response with AI feedback, competency analysis, video replay, and actionable suggestions to help students learn from each attempt
@
2026
Rahul B