Measuring Toshiba Self-Checkout Performance for Shoppers, Attendants and Retailers

You are a product manager working on Toshiba's self-checkout systems, which millions of grocery shoppers use every day. How would you measure whether the product is successful? ```hint Look beyond the shopper The person scanning groceries is only one of the people who care how the lane performs. Think about who buys the machines and who has to walk over when something goes wrong, and what each of them counts as success. ``` ### Clarifying Questions - Am I measuring success for the grocery retailers that buy and deploy the machines, for the shoppers who use them, or for both? - Is the scope the whole installed base across retailers, or one hardware line or software release? - What data comes back from deployed lanes: transaction logs, attendant alerts, error codes, uptime? - Is the measurement for ongoing product health, for retailer contract renewals, or for judging a specific change? ### What a Strong Answer Covers - The stakeholders (retailer, shopper, store attendant) and what success means for each of them - One primary metric with a reasoned definition, and why a simple completion rate is not enough - Supporting metrics across adoption, speed, attendant interventions, reliability and loss - Guardrails that would catch the primary metric improving for the wrong reason - How the metrics are segmented and acted on, for example by retailer, store format, basket size and software version ### Follow-up Questions - Unassisted transactions rise after a release, but one retailer reports higher losses; how do you investigate? - How would you run an experiment on a stricter bagging-area weight check across stores? - Which single metric would you show a retailer at contract renewal, and why?