Product Design — Advanced
An intermediate-to-advanced course that takes a UI/UX designer to Product Designer level. It covers discovery, research, Jobs-to-be-Done, strategy and MVP planning, design sprints, UX writing, advanced prototyping, design systems, validation, experimentation and analytics, using real SaaS, fintech, e-commerce and mobile scenarios in Figma, FigJam, Miro, Dovetail, Maze, Hotjar and Clarity. Learners finish with an end-to-end case study and a plan for growing toward Senior UX Designer and Design Lead.
- Duration: 18 weeks
- Modules: 12
- Fee: Rs 19,999
- Field: Design & Creative
Roles this track prepares you for
- Product Designer
- UX Designer
- Associate Product Designer
- Junior Product Designer
- Interaction Designer
- UX Researcher
- UX Writer
- Content Designer
- Design Systems Designer
- UI/UX Designer
Curriculum
- Product Thinking & Business Context - Moves a UI/UX graduate into a product mindset: how SaaS, fintech, e-commerce and mobile products earn money, how product teams decide, and which tools answer which question. Ends with an audit of a live product.
- From UI/UX Designer to Product Designer
- How Digital Products Make Money
- Design Thinking as an Operating Model
- Working with PMs, Engineers, Data and Leadership
- The 2026 Product Design Toolchain
- Lab: Product Health Audit
- Product Discovery & Opportunity Mapping - Builds a continuous discovery habit and the tools to find what is worth building: outcomes, opportunity trees, experience maps, service blueprints, competitor scans and ranked assumptions.
- Continuous Discovery: Weekly Touchpoints
- Desired Outcomes and Opportunity Solution Trees
- Experience Maps, Service Blueprints and Ecosystems
- Competitive and Market Scanning
- Assumption Mapping and Risk Ranking
- Lab: Discovery Readout
- Advanced User Research & AI-Assisted Synthesis - Plans research under real constraints, interviews for behaviour, reads Hotjar and Clarity data, organises evidence in Dovetail and uses AI for synthesis with a protocol to check every claim against raw data.
- Research Planning Under Real Constraints
- Interviewing for Behaviour
- Behavioural Data: Hotjar and Clarity
- Dovetail: Transcripts, Tagging and Repositories
- AI-Assisted Research: Where It Helps and Misleads
- Research Readouts That Change Decisions
- Jobs-to-be-Done & Problem Framing - Teaches Jobs-to-be-Done as a working method: job statements, switch interviews, forces of progress, job maps, problem statements and transparent prioritisation.
- JTBD Fundamentals
- Switch Interviews and Forces of Progress
- Job Maps and Underserved Outcomes
- Problem Statements and How-Might-We
- Prioritising with RICE, Kano and Impact-Effort
- Lab: JTBD Brief
- Product Strategy & MVP Planning - Connects discovery evidence to a product vision, positioning, metrics and a scoped MVP, then sequences the work in a roadmap that engineering and leadership can commit to.
- Product Vision, Principles and Strategy Narratives
- Positioning and Value Propositions
- North Star Metrics, OKRs and Design KPIs
- MVP Scoping: Riskiest Assumption to Minimum Lovable
- Roadmaps, Sequencing and Engineering Dependencies
- Lab: Strategy Pitch
- Design Sprints - Runs the full five-day design sprint (map, sketch, decide, prototype, test), then adapts it for remote teams and shorter formats, including when a sprint is the wrong tool.
- Sprint Setup and Day 1: Map and Experts
- Day 2: Sketch Solutions
- Day 3: Decide and Storyboard
- Day 4: Prototype in One Day
- Day 5: Test with Five People
- Remote and Compressed Sprints
- UX Writing & Content Design - Treats words as interface: voice and tone, microcopy for onboarding, forms, empty states and errors, trust-building copy for money, multilingual content and a content system that scales, with AI used under human review.
- Content Design Principles: Voice, Tone and Clarity
- Microcopy for Onboarding, Forms, Empty States and Errors
- Writing for Trust in Fintech
- Multilingual and Inclusive Content
- Content Systems in Figma
- AI-Assisted Copy and Governance
- Interaction Design & Advanced Prototyping - Goes beyond the happy path: full state models, complex SaaS patterns, mobile gestures and navigation, logic-driven Figma prototypes, motion, and AI-powered prototyping with a clear view of its limits.
- State Models Beyond the Happy Path
- Complex SaaS Patterns: Tables, Roles and Bulk Actions
- Mobile Interaction: Thumb Zones, Gestures and Signal
- Logic in Prototypes: Variables and Conditionals
- Motion and Micro-interactions That Explain
- AI-Powered Prototyping: Prompt, Review, Rebuild
- Design Systems for Product Teams & Handoff - Scales a design system for a product team: audits and governance, token architecture with modes, flexible accessible components, documentation and adoption, developer handoff with Dev Mode and Code Connect, and AI-assisted system work.
- Design Systems at Scale: Audit, Governance and Maturity
- Token Architecture and Modes
- Advanced Components: Slots, Properties and Limits
- Documentation, Contribution and Adoption
- Developer Handoff: Dev Mode, Code Connect and the Pack
- AI in Design Systems: Audit, Document, Review
- Validation, Usability Testing & Accessibility - Chooses the right validation method for each assumption, runs moderated and Maze-based unmoderated tests, reviews against WCAG 2.2 with assistive technology, and turns findings into severity-rated go or no-go decisions.
- Validation Strategy: Method, Evidence and Decision Rule
- Moderated Usability Testing: Tasks, Script and Debrief
- Unmoderated Testing with Maze: Setup, Data and Limits
- Accessibility Beyond Checklists: Keyboard, Screen Reader and People
- Heuristic and Expert Reviews, AI-Assisted
- Severity, Evidence and the Go or No-Go Decision
- Experimentation & Product Analytics - Teaches designers to read product analytics, write tracking plans, design experiments, test cheaply when traffic is low, show business impact, and avoid dark patterns in growth work.
- Analytics for Designers: Events, Funnels and Cohorts
- Tracking Plans and Instrumentation: What to Log and Why
- Experiment Design and A/B Basics: Hypothesis, Metrics, Stop Rule
- Beyond A/B: Fake Doors, Concierge Tests and Feature Flags
- Design Impact and Business Cases: Outcomes, Ranges and Reports
- Ethics, Dark Patterns and Experiments: Persuasion With Limits
- Capstone, Emerging Tech & Career Progression - Brings the whole track together in one end-to-end product case. Starts with an emerging-technology radar, then three capstone sprints, a portfolio case study and a plan for growing toward Senior UX Designer and Design Lead.
- Emerging Tech Radar 2026: Judging New Tools by Job and Risk
- Capstone I: Discovery Evidence and Strategy
- Capstone II: Prototype, System and Validation Plan
- Capstone III: Handoff, Metrics and Business Case
- Case Study, Portfolio and Interviews
- Growing Toward Senior UX Designer and Design Lead
Frequently asked questions
How long is the Product Design — Advanced course?
It runs for 18 weeks, with 12 modules. It is self-paced online learning from EasySkill Career Academy, Surat.
How much does the Product Design — Advanced course cost?
The fee is Rs 19,999.
What will I build in Product Design — Advanced?
Every module ends in a graded practical task that AI checks in about 30 seconds, so you finish with a portfolio you can show to employers or clients.
Which roles does Product Design — Advanced prepare me for?
It prepares you to apply for roles such as Product Designer, UX Designer, Associate Product Designer, Junior Product Designer, Interaction Designer. It does not guarantee a job or income.
Can I learn online, or do I have to visit a centre?
You can learn fully online. EasySkill also has centres in Adajan, Vesu and Bhestan, Surat, if you prefer to visit.
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