# Things to measure See also [Root (start here)](/B5e7se23Qrm__wFDPCb1Cw). This is a top-level entry containing a list of broad categories we'd like to be able to develop metrics for, some of which may contain elements that are too qualitative to be strictly referred to as metrics but provide much of the motivation for setting up mutual credit clubs in the first place, and so represent additional lines of research. - With respect to the functioning of mutual credit clubs themselves, there are multiple layers of analysis: - [Account metrics](/xnUSdbbaQS-wn0KmIYRh-Q) - primarily with respect to benefits to a club member and its viability as a member. - [Club metrics](/0Pyj0CjtSP65hYzq0AdTQQ) - primarily with respect to the viability and effective functioning of a given club. - [Federated network metrics](/iYVWKMDfRQ2YpoxylY6KQg) - viability of a given 'club of clubs' within the Credit Commons - since this will involve club intertrade accounts and greater geographical scale, different dynamics may emerge requiring alternative/additional measures. This is considered a 'meta' category as there will be several layers of clubs of clubs in a [tree structure](https://gitlab.com/credit-commons-software-stack/credit-commons-microservices/-/blob/master/docs/Accounting_TradeEngine_Fundamentals.md). - [Macroeconomics of the Credit Commons](/HNcuOw80TCSMK9Sn8K6ikQ) - [Environmental impact](/-8uUpxO4TkOCjiWHDBCKgQ) - the extent to which reductions in energy use, emissions, waste etc. can be meaningfully attributed to the activities of members of a mutual credit club or network. Also positive impacts e.g. increased economic viability of conservation projects etc. - [Economic impact](/gee4JlfGTL2Q-X_TmCuO6g) - wider economic effects which can be attributed to a growing mutual credit commons. - [Local/Regional economics](/Yje5BlkWQFymKiHt6fPZCw) - Social impact - wider social effects. Clearly the last three can't be completely separated, but this categorisation is a good place to start.