Quick thoughts on product leadership, AI strategy, and organizational transformation. Bite-sized insights from real transformation experiences.
These insights come from real transformation experiences across global SaaS organisations. Let's discuss how they can help accelerate your product and AI strategy.
Product Leadership & AI Strategy
Teams were “using AI” — but not working with it. We embedded AI into everyday ops so it became invisible infrastructure, not a side tool. Speed rose, creativity unlocked, and AI stopped being an experiment — it became how we work.
Product Leadership & AI Strategy
We were running too many initiatives in parallel — context switching killed momentum. We fixed it by setting team WIP limits and giving each project a single DRI — one person accountable from start to finish. Fewer bottlenecks. Faster decisions. Clearer ownership.
Product Leadership & AI Strategy
We replaced one-size-fits-all discovery with 3–5 day timeboxed sprints - matching the effort to the problem.Now the team ships faster, learns faster, and spends energy where it actually matters.Right-sized discovery > one-size-fits-all discovery.
Product Leadership & AI Strategy
In fast-moving AI teams, slow decisions kill momentum. We introduced daily blocker triage, same-day DRI assignment, and a 4-hour resolution target. Decisions got faster, teams got lighter, and urgency became culture — not pressure.
Product Leadership & AI Strategy
User groups were passive — lots of talk, little impact. We rebuilt them as strategic Customer Advisory Councils with structure, visibility, and real co-creation. When customers saw their input shape the product, engagement turned into advocacy
Product Leadership & AI Strategy
We had loads of feedback but little insight. By weighting feedback by customer value, creating an Insights Council, and closing the loop, we turned noise into strategy — and feedback into advocacy. Reactive listening became proactive learning.
Product Leadership & AI Strategy
AI-First Mindset Shift: Moving from shipping features to solving outcomes requires adopting Jobs To Be Done (JTBD) thinking. Each team should own complete customer jobs rather than managing data or building features.
Product Leadership & AI Strategy
Decision Urgency Principle: In an AI-influenced world, reality changes every few months. Delayed decisions slow momentum, introduce ambiguity, and create friction. Prioritise momentum over perfection.