I hope you’re doing well. We are actively scaling our learning and support ecosystem and would love deeper analytics to measure actual value creation. Specifically, we’re looking to track: Resource adoption and usage (e.g., which specific resources are viewed, & opened/read and the count and %). Resource discovery → Are members finding the resource? Resource relevance → Are they engaging with it beyond a click? Resource effectiveness → Are members returning, applying, or sharing it? Ideal Data Signals We’d Like to Track: View & open rates / count per resource: How many members accessed it at least once? Completion or “read” indication: Did they finish or consume the full content? Repeat visits or saved items: Which resources are valuable enough to return to? % usage based on total eligible audience Example: "32 out of 80 members viewed (40%)" "18 of those revisited at least once (22%)" Drop-off behavior (if trackable): Where are users stopping? Peer-to-peer support signals (e.g., replies, help interactions, mentorship threads, message reactions). Specifically, we are looking to track measurable engagement patterns such as: Support replies & helpful responses: To understand how often members are solving each other’s questions Mentorship & knowledge-sharing threads: To identify recurring experts, emerging leaders, and common topics where the community supports itself. Help signals (asks & assists): To track how often members request help and receive a response within an acceptable time frame. Message reactions, endorsements, or “helpful” markers: To quantify sentiment, agreement, or perceived value from other members. Community sentiment or NPS-style feedback (e.g., quick rating system or periodic pulse check)
