Get to Real: Do You Even Have a Problem Here? (p2/3)

Get to Real: Do You Even Have a Problem Here? Not every itch is a problem.Not every problem is ready to be solved. That sounds simple, but in practice this…

Get to Real: Do You Even Have a Problem Here?

Not every itch is a problem.
Not every problem is ready to be solved.

That sounds simple, but in practice this is where a lot of effort gets wasted.

People feel something off, something frustrating, something worth improving—and then jump straight into fixing it. More tools, more structure, more effort. But if the problem is not clear, or not real, or not active enough to matter, all that effort spreads thin.

Research on feedback and performance points to a useful caution here: not all feedback improves performance. In fact, some feedback makes things worse—especially when it shifts attention away from the task and into vague self-evaluation or identity-level judgment. The work tends to go better when attention stays tied to specific actions, recent situations, and usable adjustments rather than general impressions. (Kluger & DeNisi; subsequent feedback research)

The same idea applies to how we define problems.

If the problem is vague, the response will be vague.
If the problem is inflated, the response will be excessive.
If the problem is not real, the response is noise.

So before building a plan, it is worth asking a more basic question:

Do I actually have a problem here?


Start With What Actually Happened

Instead of starting with interpretation, start with a recent moment.

Not:

But:

This matters because general statements are easy to agree with and hard to use. Specific instances are harder to ignore and easier to work with.

Reflection research supports this direction: reflection is most useful when it is tied to concrete experience, not just abstract evaluation. Otherwise it drifts into rumination or overgeneralization.


Check the Cost

Next question:

What did it actually cost?

If nothing really degraded, you may not have a problem yet. You may have a preference, a curiosity, or an idea.

That distinction matters.

Because real problems usually carry some cost:
something didn’t work, didn’t hold, or didn’t transfer under load.


Check Behavior, Not Intention

This is where a lot of people overestimate where they are.

Instead of asking:

Ask:

Research on behavior change consistently shows that intention and action are not the same thing. People often report readiness, interest, or agreement, but actual behavior tells a more reliable story.

If nothing has been tried, or if the same approach keeps repeating without adjustment, that’s useful information.

It tells you where you actually are—not where you think you are.


Check Energy

Some problems are real, but not active.

You can recognize them, agree they matter, even talk about them—but there’s no traction.

So ask:

There’s no judgment in that.

It just helps distinguish between:

Trying to force all three into the same category leads to overload and frustration.


Run a Disconfirming Check

One of the simplest ways to avoid chasing phantom problems is to ask:

What would show me this is NOT actually a problem?

That question does two things:

If you cannot identify what would disprove the problem, you may be working from assumption rather than observation.


The Phantom Problem Pattern

A lot of wasted effort follows a pattern:

From the outside, it looks like engagement.
From the inside, it’s often just unverified problem definition.

That’s where the friction shows up later:


The Pivot: From Thought to Entry Point

If you can answer clearly:

Then you likely have something real.

That becomes your entry point.

If you cannot answer those clearly, you may not be at a problem yet.

You may be at:

That’s not a failure.

It just means:
don’t overbuild yet.


Practical Use

Before adding structure, tools, or intensity, run this quick check:

If those answers come together, proceed.

If they don’t, pause.

Clarity at this stage usually saves a lot of effort later.


Where This Fits

This is the step between:

Post 1 sets the structure.
This step makes sure you’re working on something real.

Next step is simple:

Find the smallest useful action and run it once.


Clarity beats intensity. Find the real problem first.