Audience conditions
For an audience in Tehran, timing matters a little.
Timing matters a little
Peak-to-trough swing of 13.8 points across the week — a lean, not a switch.
calmest slot (local)
Wed 05:00
~1-in-11 hours are bumpy here
roughest slot (local)
Tue 22:00
~1-in-2 hours are bumpy here
gain from the best hour
54 pts
lower chance of a bumpy hour
reliability percentile
52th
among comparable areas worldwide
The week, hour by hour (local time)
Typical day (chance of a bumpy hour for here, all days averaged)
Same national curve as every neighbouring area — local data sets the level and the amplitude, not the shape.
This is what KASPR Sense does
For every place on a call or in an audience, it finds the hours when the connection is most likely to hold, and says how much that is worth.
How the models are built
KASPR Predict is built on years of KASPR’s own active measurement — the same probes, run consistently, worldwide. For every district we hold a long, regular history of connectivity, latency and jitter by hour of the week.
A machine-learned model separates each district’s stable daily and weekly shape from its overall level and its volatility, then projects the hours ahead: where the connection is likely to hold, and where a rough hour is likely. Because the measurement is our own and consistent over years, the level and the shape stay comparable across districts and over time.