AI Product & Customer Discovery
AI Product & Customer Discovery with Seun from Smartly!
Most product teams don't struggle with a lack of data. They struggle with making sense of it.
In this interactive session, we'll explore how modern product managers can use AI to accelerate customer discovery, uncover hidden insights, validate ideas faster, and build products people actually want.
We'll break down the difference between customer discovery (finding the right problem) and product discovery (building the right solution), then dive into practical ways AI can support both. From analysing customer interviews and support tickets to generating personas, identifying trends, prioritising opportunities, and rapidly prototyping solutions, you'll leave with frameworks you can apply immediately.
What we'll cover
Customer Discovery vs Product Discovery
How AI helps uncover customer needs and behaviours
Using AI to analyse interviews, surveys, reviews, and support conversations
Identifying patterns, sentiment, urgency, and emerging trends at scale
AI-assisted customer research and persona creation
Product discovery frameworks for modern teams
AI-powered prototyping and validation workflows
Competitor analysis and prioritisation using AI
Common pitfalls, hallucinations, bias, and how to avoid them
Who should attend?
Product Managers
Product Leaders
Founders
UX Researchers
Designers
Growth & Strategy teams
Anyone curious about building better products with AI
What you'll leave with
- Practical AI workflows you can use tomorrow
- Better discovery habits and decision-making frameworks
- Tools for validating customer problems faster
- A clearer understanding of where AI adds value and where human judgment still matters
- New connections with fellow product builders
Format
🎤 Interactive workshop
🧠 Discovery exercises and discussions
🤝 Networking with fellow product professionals
❓ Live Q&A
Important takeaway
AI should augment your judgment, not replace it. The best product teams combine AI-powered insights with real customer conversations, continuous validation, and strong product thinking.