Product feedback loop
PostHog/Google Analytics based instrumentation to base product decisions on real data
Teams can ship more quickly than ever, but that does not mean they learn more quickly. Without reliable data from real product use, product decisions rest on assumptions, stakeholder opinions, and feedback from only the most vocal customers. The result is a familiar pattern: investment in features whose adoption, value, and usability are never properly understood.
The solution
I help establish an embedded feedback loop that makes real usage a regular input to product management. Together, we identify the critical customer journeys and the questions the business needs answered, then instrument the product with a platform such as PostHog or Google Analytics. The implementation is designed around meaningful events and outcomes—not a large collection of metrics without a decision behind them.
What the product team can see
The resulting view combines quantitative and qualitative evidence. Usage funnels reveal where customers complete or abandon important paths. Usage paths show the routes people actually take through the product, including unexpected detours. Heat maps highlight which parts of an interface attract attention or are ignored, while session replay gives the team the context behind a drop-off, error, or repeated action.
These signals make it possible to answer practical questions soon after a release: Are customers discovering the capability? Can they complete the task? Where do they get stuck? Which customer groups benefit, and which do not?
From data to product decisions
The goal is not reporting for its own sake. Usage findings become part of the product-management cadence: define the expected outcome before delivery, review observed behaviour after release, and use the evidence to prioritise the next increment. This allows teams to test smaller steps, follow promising paths, and correct weak ones before they grow into costly feature bloat.
The outcome is a product organisation that can connect delivery to customer value more consistently—making better-informed priorities while still moving at pace.