Prompt course · 9 lessons · 26 prompts · 1 hour · Beginner
AI for Product Designers
Nine lessons that walk a product designer through research, wireframes, prototype copy, testing, and handoff. Each one gives you prompts you can use on live work today.
What you'll learn
- Research planning: Draft a research plan with goals, questions, and a screener in minutes.
- Interview synthesis: Turn messy notes into themes, quotes, and clear insights.
- Personas and journeys: Build personas and journey maps that stay tied to real research.
- Wireframe ideation: Explore layout and content structure ideas before you open your design tool.
- Prototype copy: Write realistic copy and edge-case states so prototypes feel real.
- Usability testing: Prepare test scripts and turn findings into a short action list.
- Design system docs: Document components and accessibility notes people can actually use.
- Engineer handoff: Turn designs into handoff notes and acceptance criteria engineers understand.
What's inside
9 lessons · 26 prompts- Before you start · framework course RACE Prompt Framework: Role, Action, Context, ExpectationRACE fits product design because role, action, context, and expected quality yield precise feedback, like a checkout flow review with success metrics.
- Start here Priya's Wednesday, two waysA day in the life of a Product Designer, before and after these prompts.
- 01 Lesson 1 · 3 prompts User Research Planning
- 02 Lesson 2 · 2 prompts Interview Synthesis
- 03 Lesson 3 · 3 prompts Personas and Journeys
- 04 Lesson 4 · 3 prompts Wireframe Ideation
- 05 Lesson 5 · 3 prompts Prototype Copy and States
- 06 Lesson 6 · 4 prompts Usability Testing
- 07 Lesson 7 · 2 prompts Design System Docs
- 08 Lesson 8 · 3 prompts Engineer Collaboration
- 09 Lesson 9 · 3 prompts Presentation and Iteration
About this course
7 topicsPrompts for Product Designers, From Research to Handoff
This course is a set of prompts for the work product designers actually do, in the order you usually do it. It starts with planning research and ends with presenting concepts and planning your next round.
You do not need to learn a new tool. You bring a real project, paste each prompt into ChatGPT, Claude, or Gemini, and shape the output with your own judgment.
The lessons
- User Research Planning: Plan and prepare user research with AI help.
- Interview Synthesis: Turn raw interview notes into clear insights.
- Personas and Journeys: Build research-backed personas and journey maps.
- Wireframe Ideation: Generate and refine wireframe concepts and content structure.
- Prototype Copy and States: Write realistic prototype copy and edge-case states.
- Usability Testing: Prepare usability tests and turn findings into actions.
- Design System Docs: Document components and accessibility guidance for the design system.
- Engineer Collaboration: Translate designs into clear handoff notes and acceptance criteria.
- Presentation and Iteration: Present concepts and turn feedback into a prioritized iteration plan.
What the course covers
The nine lessons follow a design project from start to finish. You plan research, synthesize interviews, build personas and journey maps, and explore wireframes.
Then you write prototype copy and edge-case states, prepare usability tests, document components, write handoff notes, and turn feedback into a plan.
How the lessons connect
Each lesson feeds the next. The themes you pull from interviews become the backbone of your personas, and those personas shape what you test in the prototype.
If you only have time for one lesson, start with interview synthesis. It is the one most designers say changes their week.
How to use the prompts well
Give the AI real material: your notes, your constraints, your audience. The more context you paste in, the less generic the output.
Treat the first answer as a draft. Ask for three options, push back on the weak ones, and keep the parts that sound like your product.
Who this course is for
It is for product designers who already run research, sketch flows, and hand work to engineers. Beginners can follow along, but the examples assume you know the basics.
It also suits design leads who want a shared way for their team to use AI without losing quality.
Safety and privacy in design work
Research notes often contain names, quotes, and details people shared in confidence. Remove or replace anything identifying before you paste it into an AI tool.
Check your company rules about which tools are approved, and keep sensitive product plans out of public chat windows.
Your next step
Pick one project you are working on this week and run the first lesson on it. Then work through the rest in order, one lesson per sitting.
By the end you will have a set of prompts that fit how you already work, and a habit of checking the output before it goes anywhere.