Analytics to measure value creation

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?

2. 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)