Problem: It’s hard to know how device learning is progressing, and it is the most important up-front process for each home owner. Device learning is the gateway to delivering any initial value from the Sense product, but there is no way in any of the apps to be able to observe and assess whether and how well device learning is progressing.
Device learning is a long term and non-linear process where new devices are learned and devices that have been learned previously can disappear and reappear over time. Home owners need to be able to see the progress and regression of device learning over time to judge the effectiveness and value of the Sense product.
For example, trying to understand how Learned, Always on, and Unknown percentages for recorded daily energy use have changed over time. Using the data manually transcribed from the Sense app, it’s possible to create charts that help home owners understand the device learning progress for their home. Here is an example showing daily actuals for all metrics from my home:
And here is an example of the same metrics as 7-day rolling averages to reduce the noise and smooth the volatility:
A device learning trend would be useful to understand the metrics better and set expectations realistically of how quickly device learning may proceed for each home: