Why Some Solutions Look Bigger Than They Are

Years ago I realized I was spending more time explaining certain ideas than actually building them.

At first I assumed I wasn't communicating clearly. That's probably true of all of us at some point. When you've spent months understanding a problem, it's easy to forget that everyone else is seeing only a small piece of it.

But after running into the same situation repeatedly, I started to notice a pattern.

The ideas that required the most explanation were rarely the most complicated. In many cases they were attempts to simplify a situation that had become unnecessarily complex over time.

Imagine walking into a house where the furnace stopped working years ago. Rather than fixing it, people adapted. A space heater appeared in the living room. Then one in the kitchen. Eventually every room had its own heater, extension cords ran through the hallways, and nobody thought much about it because that's simply how the house worked.

Then someone proposes fixing the furnace.

Suddenly the solution feels large.

It touches every room.

It affects everyone living there.

It requires coordination.

The scope appears significant, even though the outcome is arguably simpler than maintaining a dozen independent workarounds forever.

I've seen organizations behave in much the same way.

Most complexity doesn't arrive through a single bad decision. It accumulates slowly. A process is added to solve a problem. A tool is introduced to fill a gap. A review step appears after a mistake. Each decision makes sense when viewed on its own.

Years later, however, the organization is carrying the weight of hundreds of reasonable decisions that were never designed to work together.

What makes these situations challenging is that people often evaluate solutions relative to the problem they can see. They compare a platform to a tool. A strategic initiative to a feature request. A shared service to a local workflow.

The comparison feels logical, but it misses something important.

Many of the highest-leverage solutions aren't solving one problem. They're addressing a pattern that keeps generating problems.

That's a very different thing.

A team might ask for better search. Another might want improved metadata. A third might be struggling with governance. A fourth may be dealing with inconsistent user experiences. Viewed independently, each request appears unrelated. Viewed together, they may be symptoms of the same underlying condition.

This is where conversations can become difficult.

People see the list of capabilities being discussed and assume complexity is increasing. What they don't always see is the complexity that's being removed. The future projects that won't need to exist. The duplicate systems that won't need to be maintained. The organizational friction that quietly disappears.

I've come to believe that some of the most valuable solutions share a common characteristic. They appear larger than they are because they operate at the level of the system rather than the symptom.

The irony is that once these solutions are understood, they often feel obvious.

Not because they were simple to discover.

Because the complexity was already there.

Someone finally chose to address it in one place instead of fifty.

Perhaps that's why these conversations can be so difficult. We're often looking at the same problem from different altitudes. One person sees a feature request. Another sees an operating model. One sees a symptom. Another sees a pattern.

Neither perspective is wrong.

But they tend to produce very different solutions.