Glossary

Product Signal

A product signal is evidence about what users actually did, as distinct from a view about what they will do. The useful question in a planning meeting is not whether a claim sounds right, but what kind of signal is behind it - and most claims turn out to have none.

The evidence ladder, weakest to strongest

Not all evidence is equal, and knowing the order is most of the skill.

Someone's confident opinion
Zero signal, and the most persuasive thing in the room. This is the default input to most roadmaps.
One customer asked for it
Weak but real. Worth writing down, not worth building on its own - the loudest customer is not the average one.
Several customers asked unprompted
Genuinely useful, especially if they described the problem rather than requesting a solution.
Support and error volume
Strong, because it counts things that happened rather than things people said. A bug with 400 occurrences is a fact.
Behaviour in the product
Strongest available without a test - drop-off points, features nobody opens, paths people take instead.
A controlled test
Strongest, and usually out of reach at small traffic. See A/B testing.

Why the loudest voice wins by default

Because checking costs a tangent nobody in the meeting wants to take. A specific-sounding claim with nothing behind it beats a careful one with a source, simply because looking it up would derail the agenda. The fix is not more discipline in the meeting - it is having the number already on the page when the claim gets made.

Date every number

A figure without a date is not a signal, it is folklore. "Customers keep hitting this" was true in March. Whether it is true now is a different question, and one nobody can answer if the number arrived without a timestamp. Any evidence worth quoting is worth quoting with the window it covers.

Frequently asked questions

How much evidence is enough to build something?

It depends on what the mistake costs. A two-day change needs far less than a two-month one. The useful habit is matching the evidence you gather to the size of the bet, rather than applying one bar to everything.

Is qualitative feedback worth anything?

Yes, and often more than a weak quantitative signal. Five recorded conversations will tell you why people drop off; a dashboard only tells you that they do.

How Spectr helps

Prioritise with numbers instead of whoever sounds most certain

Real error and feedback numbers from PostHog and Sentry, quoted with a date in your specs

Related terms

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