Optimize UX Research with ChatGPT and AI for UX Design

Explore the ChatGPT interface, compare ChatGPT 3.5 and 4.0, and explain plus versus free access, including data analysis, attachments, and verifying insights from uploaded graphs.

Identify who, why, what and how for a hotel booking app using prompts to surface pain points, scenarios, and stakeholders, and to craft a focused problem statement.

Learn to format a user interview script for UX research by leveraging markdown styling in Google Docs, using markdown detection, and integrating a showdown.js workflow to produce clean, structured documents.

Leverage ChatGPT prompts to generate stakeholder interview questions for a hotel booking app, balancing user and stakeholder needs, and exploring constraints and iteration.

Craft a screener to select participants meeting niche criteria using a ChatGPT prompt across three personas, and build a Google form with motivating intro and confidentiality notes.

Identify user insights by applying open coding to interview transcripts, generating codes with prompts, and grouping results into three buckets: challenges, positive factors and coping strategies, and others.

Leverage prompts to classify insights into challenges, positive factors, and other buckets, then derive strategies to overcome each challenge with ChatGPT and verify results.

Learn to use prompts to let ChatGPT derive 2–3 main themes from user data, map themes to codes, and verify results against the uploaded transcript.

Create a codebook with definitions and acronyms to ensure uniform coding across a qualitative team, guided by prompts and guidelines in a Google doc.

Explore how to perform sentiment analysis on user transcripts using prompts to categorize into positive, negative, and neutral, with reasoning, and combine scores to prepare a graph.

Learn how to generate a vertical bar chart with ChatGPT by adjusting your approach and providing data. See how sentiment score charts can succeed when initial attempts fail.

Extract key insights from actual user transcripts with ChatGPT to build structured, stakeholder-ready summaries of user behavior, needs, and preferences for ux design decisions.

Identify top emerging patterns in data by evaluating transcripts with prompts, highlighting customization, personalization, time emphasis, and reliance on digital tools and digital expense management.

Generate an executive summary for a report using a simple prompt, detailing key findings with subdetails and recommendations. Present it to stakeholders and refine the introduction in the next lecture.

Explore how to define background, objective, and scope for a UX research report, using prompts to generate a detailed background summary, objective, and scope with participants and exclusion notes.

Create a flow diagram to illustrate the data collection and analysis process in the methodology, using mermaid code in Draw.io and prompts with ChatGPT to engage stakeholders.

Identify emotional trends in user data by analyzing transcripts with ChatGPT, generate an emotion table and radar chart in Google Colab, and present insights to stakeholders.

Create a word cloud to visualize three themes from data, retrieved with prompts to chatgpt, and present weights and codes via charts in a research report.

Celebrate completing the course and download your Udemy certificate, while applying your ChatGPT-powered insights to perform insightful UX research and elevate your UX design work.