I'd probably start with adoption and then work outward.
Start by clarifying the feature's goal and the user journey, then structure your metrics around a framework like HEART or AARRR. Focus on metrics that measure adoption, engagement, and success of the upload flow, and tie them to broader business objectives like Google Photos usage and retention.
Pro tip: Differentiate between leading and lagging indicators, and consider counter-metrics to ensure you're not optimizing for the wrong behavior (e.g., uploads that lead to poor organization).
Ask clarifying questions to understand the feature's purpose, target users, and how it fits into the Google Photos ecosystem. Define what success looks like for this feature.
Outline the key stages: discovering the feature, initiating upload, completing upload, and post-upload actions (e.g., viewing, sharing). Identify potential drop-off points.
Choose a framework like HEART (Happiness, Engagement, Adoption, Retention, Task Success) or AARRR (Acquisition, Activation, Retention, Referral, Revenue) to organize metrics.
For each stage, list quantifiable metrics (e.g., adoption rate, upload success rate, time to upload, retention of uploaders) and prioritize them by importance.
Identify potential negative side effects (e.g., increased storage costs, privacy concerns) and propose counter-metrics to monitor them.
AI-generated suggestions, not part of the candidate's original notes. May be inaccurate — verify before relying on them.