UX Audit for E-commerce Supported by AI: Independent Analysis and Conversion Optimization
Level
IntermediateDuration
8h / 1 daysDate
Individually arrangedPrice
Individually arrangedUX Audit for E-commerce Supported by AI: Independent Analysis and Conversion Optimization
This training shows how to use AI to conduct a fast yet controlled UX audit of an online store. Participants learn how to perform an initial usability audit without involving external agencies, identifying purchase barriers and conversion drop-off points. The workshop combines the analytical capabilities of AI agents with objective visual research, enabling participants to quickly generate a list of specific improvements for an e-commerce website.
Who is this training for?
E-commerce professionals-
Online store managersinvolved in designing, implementing, or supervising the launch of new digital and physical products
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UX/UI designers who want to introduce a continuous product optimization process based on data and AI algorithms
What will you learn?
- How to distinguish AI-generated hypotheses from confirmed UX problems
- How to prepare e-commerce audit prompts with quality criteria and a defined report format
- How to validate AI recommendations using behavioral data, UX checklists, WCAG 2.2, and predictive attention maps
- How to work safely with AI tools without exposing personal data, confidential store information, or customer data
- How to create a recommendation report with prioritization based on conversion impact × implementation effort × confidence level
Training Program
Module 1: Fundamentals of Usability Analysis in E-commerce
- Classic research methods: Nielsen’s 10 Usability Heuristics in the context of online stores
- Using e-commerce checklists and design principles (e.g. Hick’s Law, Fitts’s Law)
- Cognitive walkthrough — how to “step into the customer’s shoes”
Module 2: Block I: AI Agent as a UX Expert (Theory + Setup)
- Building and configuring your own agent in Copilot / Gemini for audit purposes
- Prompt Engineering: creating instructions that enable AI to reliably identify and verify UX issues
Module 3: Hands-on Workshop with an AI Agent
- Working live with screenshots: identifying barriers on the homepage and product listing pages
- Automatically mapping identified issues to usability heuristics and generating initial recommendations
Module 4: Reporting and Optimization with AI
- Creating an action plan and prioritizing changes, from critical issues to aesthetic improvements
- Preparing an initial AI-assisted audit report for stakeholders
Module 5: Block II: Attention Insight — Visual Data (Theory + Workshop)
- Configuring the tool and conducting eye-tracking simulations for key website pages
- Verifying visual hierarchy — does AI see what we want to sell?
Module 6: Hands-on Workshop: Analyzing Visual Hierarchy
- Independent eye-tracking analysis of selected customer journeys
- Verification: what attracts users’ attention and what distracts them during the checkout process
Module 7: Data Integration and Final Report
- Combining insights from Attention Insight with the AI agent’s analysis into one coherent document
- Creating before-and-after comparisons and visualizing recommended improvements
Module 8: Presenting Results and Summary
- How to effectively present and communicate audit findings to management or a client
- Closing and Q&A session
Contact us
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