Ask a campaign team what they know about the decision they are trying to influence and you will get confident answers. Ask which of those answers is based on evidence and which on belief, and the room changes.

That distinction is not academic. Every line in a campaign budget is an argument about what will move someone. If the belief underneath the argument is wrong, the money does not partly work. It goes somewhere else entirely.

Three kinds of knowing

It helps to sort every claim in a plan into three categories, and to be ruthless about the middle one.

Known means you have evidence you could show someone: a stakeholder said it, research measured it, a document records it. Assumed means it is probably true, it is widely believed internally, and nobody has checked it this cycle. Unknown means you would be guessing, and everyone knows it.

Teams manage unknowns well, because unknowns feel like risk. Assumptions are the dangerous category, because they feel like knowledge. They were true two years ago, or true in an adjacent file, or true when the last government was in office.

Where assumptions cost most

Not every assumption is worth the same. Weight them by what depends on them.

Who actually makes the decision is the heaviest. Get that wrong and every subsequent choice is aimed at the wrong target — you will run a persuasive campaign at people who were never the obstacle. Close behind is what would actually move them, which is rarely the argument the organization most wants to make.

Then comes the baseline: where support stands today. Without it you cannot size the lift, and you cannot tell movement from noise once the campaign is running. And then opposition — their arguments, their spokespeople, their money, and when they intend to spend it.

Messages, channels and risks matter too, but they are downstream. A tested message aimed at the wrong decision-maker is an expensive way to be precise about the wrong thing.

Pricing the gap

The useful exercise is to put a number on it. Take the budget, take the share of the plan's weight that sits in assumed or unknown, and you have a rough figure for how much money is resting on things nobody has confirmed. For most plans it is larger than the research budget that would have settled the question — often by an order of magnitude.

That comparison is what makes the argument internally. Research reads as overhead until it is set against the spend it protects.

Fitting it to the runway

The objection is always timing: we launch in eight weeks. Fair. But intelligence work scales to the gaps rather than to a standard template. Two or three decisive questions can be closed in a fortnight — a short round of stakeholder interviews, a baseline read, a look at what the other side is preparing.

If the full sprint does not fit before launch, run it on the two heaviest gaps and accept the rest as known risk, deliberately. That is a different position from discovering in week six that the premise was wrong.

Conclusion

A plan built mostly on belief can still win. It just wins by luck, and luck does not scale into the next campaign.

If you want to see the arithmetic on your own plan, the gap check scores your intelligence coverage, estimates how much of the budget is resting on assumption, and scopes a sprint against your launch date. It takes about three minutes.

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