Search-trends reading sheet
Yenra | September 10, 2026
https://yenra.com/web-search-trends/

Attach the original export or screenshot. Keep settings and retrieval date with every chart. Compare like terms/topics on a consistent scale. Values below are invented examples, not current demand data.

Decision to inform:
Question and what observation would change the decision:
Data source and retrieval date:
Search expressions/topic labels and why chosen:
Geography:
Date range (note incomplete intervals):
Category and search type:
Single comparison chart/export location:
Observed recurring pattern or change:
Sparse/noisy data, ambiguous terms, other limits:
Plausible explanation (separate from observation):
Other evidence used to check the explanation:
Decision, owner, and review date:

Example: one fixed comparison gives a term 80 in November and 40 in July. Normalized interest is twice as high on this scale. This is not a count of searches or a prediction of sales. Separately generated charts both reaching 100 do not establish equal demand.
Official data explanation: https://support.google.com/trends/answer/4365533?hl=en