Insights
Field notes from the front line of AI-first product coaching — observations from the field, transformations in progress, and the frameworks I install in scale-up teams.
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Your product cycle starts in the middle of the story
Qualify > Frame > Define > Deliver > Enable > Learn — a complete cycle starts before your Product, Design and Engineering teams, and ends after them. Four questions to find out whether yours is complete.
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Value gets lost along the way
Your teams ship every sprint, but growth doesn't follow? The value path — from insight to revenue — gets lost quietly. Four questions to find out whether your teams still have the full map.
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Transformation isn't failure — it's the system catching up inside and out
If the old way doesn't work anymore, does that mean we did something wrong? Transformation isn't a sign of failure — it's an unavoidable shift in dynamics.
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The 10x AI is selling you isn't the one your growth needs
AI doesn't invent an organization's strengths or weaknesses — it reveals and amplifies them. The first weaknesses it exposes: fuzzy ownership and a lack of coordination between departments.
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AI executes, the human copy-pastes
AI eats execution. The human copy-pastes. What's left for the job description to describe? Notes on resetting expectations for 2026.
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5 engagements, 4 transformations: what I took away
24 months of back-to-back transformations across 4 French scale-ups. Four lessons that show up in every engagement — and one principle that ties them together.
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