How to build a Claude Skill that turns customer reviews and forum chatter into a ranked list of pain points in under 15 minutes.
How to run a competitor and market-dynamics scan that would normally take a day of manual research, and get a sourced summary back in one prompt.
How to spot the difference between a "nice-to-have" feature idea and a validated, evidence-backed pain point worth building for.
How to set up a Co-work task that keeps monitoring competitors, reviews, or sentiment on a schedule — so your research doesn't go stale the week after the session.
How to go from raw research output to a one-page product brief you can hand to a team or use to pitch a feature, without manually reformatting anything.
1- You'll leave with a repeatable research method, not just a one-off demo: You'll see exactly how to structure a Claude Skill so market and customer research becomes a two-minute request instead of a half-day dig through reviews, forums, and competitor sites — and you'll be able to rebuild that same skill for your own product right after the session.
2- You'll avoid the "cool feature, no evidence" trap: A common mistake in AI-built products is starting from what the model can do rather than what a real customer is actually stuck on. This session shows how to anchor product decisions in a specific, sourced pain point before writing a line of code — so you stop shipping things nobody asked for.
3- You'll be able to turn insight into an ongoing process the same day. Instead of research sitting in a doc that goes stale, you'll see how to hand the continuous tracking (competitor moves, new reviews, shifting sentiment) to Co-work , so future decisions about what to build next are based on current signal, not a snapshot from three months ago.
I am a Co-founder of Zomra and Growth Product Designer with nearly a decade of experience across SaaS, fintech, and ed-tech in the MENA region. I co-founded Zomra and have spent the last few years at the intersection of design, growth, and AI, building and shipping products myself using the same AI-native workflows.
Check out my website from here:
https://amrshawki.io/
Dorra Mlouhi is a product leader, Product Management instructor, and startup advisor with over 11 years of experience building and scaling digital products across global B2B and B2C markets. With a background in computer science engineering, she combines deep technical expertise with strategic thinking, leadership, and storytelling to solve complex, human-centered challenges.
She has held product leadership roles at Amazon Web Services (AWS), Trivago, and Tesco, where she led high-impact initiatives that translated advanced technologies into scalable, customer-centric solutions. As an AI-forward product leader, Dorra actively explores and experiments with emerging AI capabilities to reimagine how products are designed, built, and delivered.
Currently, she serves as a Product Leader at AWS and is the co-founder of Rituals.pm, a community dedicated to empowering the next generation of product professionals through practical frameworks, mentorship, and continuous learning.

AI Shortcut is a series where I host prominent product and design leaders from the region to discuss how AI is reshaping the industry.
Together, we explore how AI will change product, design, and different specializations, and what this means for juniors, seniors, and professionals already working in the field.
The series focuses on practical guidance: how people can adapt, work smarter, achieve more in the AI era, and develop the skills they need to stay relevant and competitive.