A recent AI experiment involved feeding weeks of handwritten puppy potty logs into ChatGPT. My wife and I tracked every pee, poop, walk, and accident for our puppy Oliver, creating a new breed of KPI: Key Potty Indicators.
ChatGPT extracted the data from our scribbled notes and turned it into a fully formatted CSV file. Then it went to town charting the heck out of these KPIs.
It came up with a host of fancy metrics, including ARR (Accident Reduction Rate), LTV (Longest Time Void-free), PTP (Poop-to-Pee) ratio, WAF (Weekly Accident-Free) rate, and DPV (Daily Potty Volume).
This chart was useful, showing how accidents correlate with how often we walk Oliver.
Alistair Barr/ChatGPT
And the AI analysis found that accidents weren’t random. They clustered in two predictable windows: midday (roughly noon to 3 pm) and late evening (8 pm to 10 pm), often following meals, naps, or play sessions.
The biggest takeaway: Success comes from reducing the gap between “need to go” and “opportunity to go.” According to Oliver’s KPI dashboard, consistency beats discipline, every accident is a training opportunity, and our puppy is becoming increasingly forecastable.
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