Most teams struggle to decide what to do next. Insights pile up, AI systems take on more responsibility, and product thinking gets crowded with options. The pressure isn’t a lack of ideas. It’s turning signals into clear action without losing trust or focus.
Warren Tomlin makes a sharp observation. SWOT is great at surfacing what’s happening, but weak at telling teams what to do next. His SO WHAT? analysis extends strategy beyond inputs by forcing teams to define the action they’ll take, how they’ll execute it, and what result they expect. It reframes strategy as a living decision tool instead of a static artifact.
DEEP CUT: Most teams aren’t stuck because they lack insight. They’re stuck because insight never crosses the line into commitment.
Harsheen Vohra argues that as AI agents become more autonomous, design can’t stop at screens or flows. Her O-A-D framework shifts the focus to outcomes, agent behavior, and dialogue, helping teams define goals, set guardrails, and keep users informed and in control as systems act on their behalf. It’s a practical way to design for trust in agentic experiences.
DEEP CUT: Clear outcomes, visible agent rules, and ongoing dialogue reduce hesitation and fear, which is where trust quietly erodes.
Alex Pedicini’s product thinking models bring teams back to fundamentals. By using simple mental models like purpose-first thinking, opportunity cost, second-order effects, and fast learning loops, he helps teams cut through noise and focus on what actually moves a product forward.
DEEP CUT: Teams don’t lose momentum because they lack ideas. They lose it by spreading attention too thin.
