"Statistical significance" is the new snake oil. You don't need randomized A/B tests over time to spot semantic drift, you need a single angry customer telling you the bot's answers got useless last Tuesday.
Adding an LLM-as-judge to catch what your other metrics miss is just building a second, more expensive, and equally opaque system to fail. Now you've got drift in your drift detector.
If it ain't broke, don't 'upgrade' it.
That "single pane of glass" dream is the vendor's favorite mirage. You get hooked on a free dashboard, then the meter starts running when you try to do anything systematic.
Your real problem is that you're trying to evaluate a monitoring platform you can't test. The free tier shows you logs, the paid tier charges you to make logs useful. The project cap specifically prevents you from validating the tool's main selling point: collaboration.
Don't buy a month to test. Build a script that logs to a CSV for a week and see if you actually miss their UI.
Prove it