Founder @ storyline.design

AI is appearing in more Product Design roles, but "AI experience" can mean very different things from one company to another.
You might have experimented with AI tools, designed an AI-powered feature, built prototypes, or incorporated AI into your workflow, but how do you know whether that experience is relevant or how to demonstrate it?
Instead of guessing how to demonstrate AI fluency in your portfolio, we'll work backwards from the roles you're actually targeting.
In this hands-on workshop, you'll use real job descriptions to identify the AI skills hiring teams value, uncover relevant evidence from your own experience, and work on turning that evidence into a compelling case study story.
You'll explore how to communicate your thinking, decisions, experimentation and contribution, not just the final output.
⭐️ This isn't another presentation about AI portfolios. You'll actively work on your own story, get feedback on your direction, and identify what to strengthen or develop next.
Leave with a case study outline you've started developing, evidence mapped to your target roles, and a clear plan to strengthen your portfolio.
Go from guessing what your portfolio needs to knowing what matters for the roles you want
Identify the AI capabilities relevant to your target roles.
Learn to recognise the hiring signals in real job descriptions.
Identify relevant experience across your projects, experiments and workflows.
Discover what you can demonstrate without having shipped an AI product.
Communicate your thinking, decisions and contribution, not just the final output.
Develop a case study direction based on what hiring teams value.
Identify gaps between your experience and your target roles.
Leave with a clear plan for what to improve, strengthen or build.
Understand how AI skills show up in Product Design, from using AI tools and experimenting to designing AI-powered experiences.
Analyse the real job descriptions you want to apply to and uncover AI hiring signals and map the evidence employers are looking for.
Stretch, grab a drink, and recharge for the next activity.
Audit your existing projects, experiments and workflows to identify AI skills and experiences you could showcase in your portfolio.
Work on your own case study by defining the problem, selecting relevant evidence and structuring a story around your thinking, decisions and contribution.
Stretch, grab a drink, and recharge for the next activity.
Develop how you'll communicate your AI experience through case study storytelling, visuals and evidence that hiring teams can recognise.
Review your progress, identify gaps in your case study and create a prioritised action plan with three meaningful improvements to make after the workshop.

Founder @ storyline.design | ex-Stripe, Preply
You're preparing for your next Product Design role but aren't sure which AI skills employers expect or how to demonstrate them.
You've experimented with AI tools, prototypes or workflows but aren't sure whether that experience is worth showcasing.
You have AI experience or want to build it, but don't know how to turn it into relevant portfolio evidence.
Practical worksheets & frameworks
Work through guided worksheets, including the AI Role Decoder, Experience Audit and Case Study Builder, using your own projects and experience.
Live, hands-on activities
Apply what you learn through interactive exercises, group discussions and feedback to uncover your strongest AI stories and portfolio evidence.
Lifetime access
Go back to course content and recordings whenever you need to.
Certificate of completion
Share your new skills with your employer or on LinkedIn.
Maven Guarantee
Your purchase is backed by the Maven Guarantee.
Justine is one of the best people I've worked with when it comes to portfolio reviews and helping me sharpen how I present my work. She can quickly spot what is unclear, what is missing, and what needs to be reframed to better match what a company is actually looking for.

Alexander Fandén
Maven for Teams
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