Data Drowning? How AI Synthesises Customer Intelligence at Scale

Too often, product managers work as human middleware between data sources and stakeholders, drowning in analysis instead of making strategic decisions that move the needle. Life is short—you need to get your time back.

In this episode, Ross Webb (who built data-driven products generating £50M+ revenue) explores how AI transforms decision-making by automatically analysing customer feedback from every source and synthesising actionable insights whilst you focus on strategy.

What You'll Learn:

• Why extraordinary curiosity is the most important product management skill (and how AI amplifies it)
• How to adapt frameworks to serve your business instead of constraining it
• Why field experience with customers beats desk research every single time
• The customer-obsessed mindset that separates experience leaders from feature builders
• How AI can automate customer feedback analysis and data synthesis from multiple sources

Featured Guests:

• Christoph Bodenstein - Data literacy expert on curiosity-driven analysis and AI transformation
• Harris Kaldis - Framework adaptation specialist on flexible processes and strategic communication
• Michael Cooper - Customer intelligence expert on field experience and direct customer connection
• Alba Simon - Customer experience specialist on friction elimination and consumer empathy
• João Moreira - Startup strategy expert on balancing agility with structured product thinking

Key Takeaways:

• The future belongs to PMs who combine AI-powered data processing with deep customer empathy
• Frameworks should be tools that serve you, not rules that constrain strategic thinking
• Daily customer contact should be non-negotiable for any serious product manager
• AI can handle the heavy lifting of data synthesis, freeing PMs for strategic insight and action

Sponsored by FlowFocus AI - The agentic AI system that connects your entire product stack (Jira, Amplitude, PostHog, roadmapping tools, competitive intelligence) and saves product managers 5-10 hours per week. Because life is too short to be human middleware.