Some teams get stuck in the opposite trap of the feature factory: they never feel ready to ship. Research, interviews and experiments pile up, but the product itself changes very little. We were brought in to help an organisation that had been “learning” for months without moving key metrics.
Our first step was to make their discovery work tangible: we mapped all insights and hypotheses against specific parts of the product and asked a simple question—what would we change tomorrow if we had to ship something based on this learning?
That exercise exposed how much of the research was disconnected from actual decisions. Together we reframed a subset of hypotheses into clear bets, attached them to specific releases and created a small cadence of experiments that had to end in a product change, not just another deck.