Current operating state
ClimateIQ Live
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Indoor
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Ecobee thermostat
Cooling setpoint
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Active target
Outdoor
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Weather
Current cycle
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Current compressor run
Runtime today
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Compressor
Starts today
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Compressor cycles
Actual house RH
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Latest aligned Enviro consensus
Ecobee RH
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Thermostat humidity sensor
Upstairs
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Remote sensor
Floor difference
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Upstairs − downstairs
Avg cycle today
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Completed cycles
Fan-only today
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Includes normal blower overrun
Compressor runtime
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Selected period
Starts / day
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Compressor start frequency
Typical cycle
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Median of daily average cycle time
Temp error
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Average indoor − setpoint
Actual RH
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Independent Enviro sensors
Ecobee RH bias
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Ecobee minus Enviro consensus
Floor balance
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Mean upstairs/downstairs difference
Outdoor average
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Weather load context
Estimated energy
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Modeled — not meter measured
Estimated cost
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ClimateIQ modeled cost
Indoor average
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Selected period
Setpoint average
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Cooling target
Cooling Performance
Weather-normalized performance for completed days.
Global Cooling Score
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Runtime Efficiency
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Weather-normalized runtime
Active Cooling
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Temperature drop while cooling
Thermal Retention
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Heat gain while compressor is off
Cycling Quality
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Cycle behavior and short-cycle risk
Cooling Rate
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°F/hr while compressor is running
30-Minute Cooling
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Equivalent temperature drop in 30 min
Idle Heat Gain
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°F/hr while compressor is off
Cooling Duty Cycle
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Percent of available time spent cooling
Idle Time
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Percent of available time compressor was off
Runtime : Idle
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Cooling runtime relative to idle time
Expected Runtime
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Weather-normalized comparison
Technician diagnostic summary
Deterministic findings calculated from the selected period.
Trends
Compare HVAC performance, weather, and sensor metrics over time.
Trend Metrics
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ClimateIQ diagnostic interpretation
HVAC System Assessment
Open At a Glance to load a selected analysis period.
AI interpretation layer
This section currently uses deterministic ClimateIQ
diagnostics. A real AI narrative endpoint can be added
next so the model interprets these calculated metrics,
compares them with prior and similar-weather periods,
and explains them in technician language without allowing
the model to invent the underlying numbers.