One Concept, One Example, One Question

The concept

This week, I kept coming back to a simple question: what are we comparing this with?

It matters whenever someone says a new process is faster, a report is more useful, or a pilot is working (whether technology is involved or not). Those statements may all be true, but without a reference point they are anecdotal.

A comparison does not need to be complicated. It might be the previous way of doing the work or an agreed definition of good enough. The point is to make the claim inspectable.

The principle is simple:

A result becomes evidence when you can say what it is better, worse, faster, safer, or more useful than.

This is not an argument for measuring everything. It is a way of avoiding a familiar mistake: treating an encouraging outcome as though it had already answered the question that matters.

The example

Imagine a team introduces an internal AI assistant to help colleagues find policy information. After two weeks, people say it is useful and the team has a list of positive comments. That is a good start, but it is not yet enough to decide whether the assistant should be expanded.

The team chooses one comparison: for straightforward policy questions, how long does it take someone to reach a correct answer now, compared with the old route of asking a colleague? The team checks a sample of answers against the source policy and times the route. If people are getting correct answers sooner, the assistant has made a useful improvement. If it is faster but frequently wrong, the result points to a different next step.

Once the comparison is named, the next action becomes clearer. The team can decide whether the assistant is ready to expand or needs more work first. None of that requires a perfect experiment; it requires enough context to distinguish a promising demonstration from a dependable improvement.

The question

Ask yourself:

What would I compare this result with if I had to decide what happens next?

The answer may show that the work is ready to move forward. It may also reveal one small check worth making before a good story becomes a confident decision.

Related

• The More Work AI Does, the More Judgment Matters looks at the wider reason this matters: as producing work becomes cheaper, deciding what to trust becomes more important.

Elsewhere this week…

• I write about how a data platform becomes strategically important when it creates trusted, reusable, well-governed data assets that improve decisions rather than simply producing better reports.

  Describe how a data platform becomes strategically important rather than merely technically useful.

• The SecondBrain Framework now carries social-card image and alt-text metadata through ready and published blog posts.

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