Before optimizing the customer journey, consult your customer support team. They are the first to know about product defects or recurring issues. Breaking down these departmental silos is the fastest way to identify and fix core product problems that hurt retention.

When scaling rapidly, companies naturally develop departmental silos and a tendency towards small, incremental improvements. These two forces actively work against the bold, cross-functional bets required to reach the next revenue milestone and must be actively fought.

Customers interact with a company as a single entity, but internally, separate departments like sales and support optimize for their own conflicting metrics. This creates a confusing and inefficient experience, a direct result of Conway's Law in action.

Structuring marketing teams in channel-specific silos forces them to optimize for internal structures rather than the fluid, non-linear path customers actually take. This creates a fragmented view of performance, leading to wasted effort and missed opportunities.

Average teams measure success in functional silos (sales vs. marketing), leading to finger-pointing. Elite teams remove functions from the equation. They focus entirely on the customer's journey, identifying patterns that lead to pipeline and fixing those that don't, regardless of which department "owns" them.

Standard prioritization techniques fail because departments optimize for their own goals in silos (e.g., marketing, IT, HR). Without a senior leadership team taking a "balcony view" to assess the cumulative demand on employee time across all initiatives, the organization inevitably becomes overloaded.

Expedia received 20 million support calls for itineraries because each department (marketing, tech, product) focused only on its own metrics. No single silo owned the cross-functional problem of preventing calls, so the problem festered despite its massive scale. True ownership must transcend departmental lines.

Organizing by function (e.g., all sales together) seems efficient but incentivizes teams to optimize their individual metrics, not the company's success. This sub-optimization prevents cross-functional learning and leads to blame games, ultimately harming the entire customer value stream and creating a non-learning organization.

Functional silos cause Brand, Market Access, and Patient Services teams to view the same patient through different lenses, effectively creating three distinct customer profiles. This fragmentation means no single program addresses the whole person's needs, causing patients to "fall through the gap" between uncoordinated strategies.