History before advice
Best-time recommendations need repeated observations across the compared hours and days. One fast evening is not a recurring pattern. We begin with unavailable data, then distinguish collecting baseline and limited history. Seven elapsed days alone do not prove every relevant time window was sampled.
Watch missing hours
If probes run mainly during the day, an evening average may reflect few requests. Scheduled gaps, outages and cost limits create uneven coverage. Expose that coverage and avoid filling gaps with invented values. Compare matching experiment settings within a specific observation region.
Time zones change the view
Store absolute timestamps and convert them for the visitor. Daylight-saving transitions can repeat or skip local hours. Recommendations also need to handle midnight and date rollover. A bare label such as 2 AM is ambiguous unless its time zone and date context are clear.
Validate before predicting
A pattern can describe the past without predicting tomorrow. Hold back later observations to check whether a preference persists. If differences are small or coverage weak, say there is no reliable preference. The current site does exactly that: it does not recommend work hours before verified history and validation exist.