Necessary vs. Unnecessary Ambiguity
(Not all uncertainty is bad — but some of it is very expensive)
People talk about “ambiguity” as if it’s a single thing —
an obstacle, a flaw, something to be eliminated.
But ambiguity comes in two flavors,
and treating them the same is where a lot of work goes sideways.
Let’s fix that with one simple tool.
⭐ THE NECESSARY vs. UNNECESSARY AMBIGUITY FILTER
Necessary Ambiguity = uncertainty that belongs to the work.
It cannot be removed, only explored.
Unnecessary Ambiguity = uncertainty created by missing context.
It should be removed, because it causes drift and rework.
⭐ How to Use It
Ask two questions:
1️⃣ Is this ambiguity inherent?
(We’re exploring, innovating, deciding — the uncertainty is real.)
2️⃣ Or is this ambiguity self-inflicted?
(Missing assumptions, unclear intent, inconsistent definitions.)
If it’s necessary → embrace it.
If it’s unnecessary → eliminate it.
⭐ Examples
Necessary:
“We aren’t sure which customer segment will respond best — we need to test.”
“That feature hasn’t been validated yet — uncertainty is part of the work.”
Unnecessary:
“What problem are we solving again?”
“Do we all mean the same thing when we say ‘done’?”
“I’m not sure who decides this.”
One is strategy.
The other is confusion.
⭐ Why It Works
Teams often waste massive energy trying to eliminate uncertainty that can’t be eliminated,
while tolerating ambiguity that shouldn’t exist.
This filter:
clarifies what must be resolved now
reveals what can be left open
prevents over-planning
and reduces misalignment born from missing context
In short:
Embrace the ambiguity that moves you forward.
Eliminate the ambiguity that drags you backward.
⭐ Try It Today
Identify one thing that feels unclear.
Ask whether it’s necessary or unnecessary ambiguity.
Your next action will become obvious.
