Method
Weekly visibility pool
The weekly visibility pool is Zebora's sampling process: the full prompt taxonomy runs every week against every tracked assistant, and those weekly runs collect into one monthly reporting batch. We measure weekly and report monthly, because a single monthly snapshot cannot tell a real move from ordinary variation.
Why once a month is not enough
AI answers genuinely vary. On our own repeat-sampled data, the same prompt on the same model changes whether it mentions a brand between one week and the next on 5 to 13% of pairs. A single run is one draw from that variation, and reporting it as the month's truth means reporting noise as news.
What repeat sampling buys
Averaging several samples of the same question narrows the range a figure could plausibly sit in, which is what makes a month-to-month comparison worth making at all. The weekly points still exist as texture within the month; the monthly batch stays the number compared over time.
Related terms
- Monthly batch — Where the weekly runs collect, and the unit actually compared over time.
- Prompt-mean rule — What stops the extra samples distorting the result.
- Confidence range — What repeat sampling narrows.
- Prompt taxonomy — The question set dispatched each week.
Last reviewed . Definitions are reviewed quarterly, and whenever the underlying measurement changes.
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