It's easy to demo a robot in a controlled setting. It's much harder to prove it's genuinely useful once it's living in someone's actual home, with actual mess, noise, and interruptions that no demo script accounts for.

The Metrics We Actually Track

• Time saved per week compared to self-reported baselines

• Task completion rate across real households, not lab conditions

• How often a task needs manual correction

• Long-term usage after the first month, not just day one

• How often a household actively seeks out new tasks for the robot

Why Long-Term Data Matters Most

Early enthusiasm is easy to generate with a new gadget. What's much harder, and far more telling, is whether a household is still relying on the robot for real tasks after the novelty has worn off completely.

The last metric matters most. A lot of home tech gets used once and forgotten. We care far more about whether a robot is still earning its place in a home six months in, because that's the point where genuine usefulness is the only thing keeping it in the routine.