Background - I am a beta user of @marcag āgizmoliteā device.
I started with chung testing, but never really found a venue or conditions that allowed any kind of consistent results to meaningful accuracy. Very rare to have no wind and venues with nice road surface and low car volume where i live.
Then over time I got to know and became friends with Marc online via ST (note consider this a disclaimer that the rest of my feedback cant be considered fully independent)
We collaborated on a very DIY āsensorā hack - basically bluetooth weather sensor data feeding data to a garmin IQ app not disimilar to cdacrr app approach. On a good day it could produce good results - quite an incredible feat for what it was but seemed to struggle in some conditions, particularly more windy or situations with more yaw so things were inconsistent and could only ever reach a fairly high margin for error.
At the same time Marc started to develop the gizmolite and I graduated to being a beta user on that device and have gone through a few iterations and the accompanying app. I think me being in the opposite hemisphere gave him some data during long cold canadian winters 
I do most of my testing at an outdoor velodrome. The surface is in poor condition and really slow but overall consider myself fortunate to have access to it within 20 minutes of home. I have a few other venues but all have their own idiosynchrosies and overall seem to get best fidelity data at the velodrome.
Experience with device
All i can say is that testing with a reliable sensor vs nonsensor chung testing or DIY device to get actionable data has been like night and day. Id describe it more like probabilities of getting return on testing effort. With non sensor chung data it felt like i might get good data 1 out 10 outings, with the DIY sensor maybe 3 in 10 days. Now its like 8 or 9 out of 10 days. Bad days or data now seem to be down to protocol issues not data measurement quality or device limitation (e.g. not warming up long enough to get settle in to true cda or leaving the sensor out in the sun between runs causing bad temperature readings)
There are other practical things that have helped imrpove outcomes. Better mounting solutions and handlebars with good mount options have helped inprove calibration factor consistency in my testing etc.
App, and automated calcs have been straightforward to use, connect all sensors and get good results. I still like analsing data in Golden Cheetah post tests particularly for velodrome. For out and back testing app is much much easier as bo need to āsnipā out the turnarounds
Would love to see some of the tools that Marc has built for himself in Golden Cheetah become public - my process flow to get data into GC is clunky.
Firmly believe when the device comes to market it will shake things up particularly if it can be delivered at more reasonable price point than the existing sensor market which i consider quite crazy and firmly believe will have a major recalibratuon in future
Its been a really satisfyning journey over the last few years, immensely enriched wuth Marc sharing knowledge and ideas - we are lucky to have him and others engaging here on ST. For anybody that is interested and prepared to invest the time id be a strong advocate of getting a sensor simply because of the enjoyment factor let alone the chance to optimise speed.
Happy to answer any questions on my experience or provide example data.