> For the complete documentation index, see [llms.txt](https://hugs-solutions.gitbook.io/hugs-platform/llms.txt). Markdown versions of documentation pages are available by appending `.md` to page URLs; this page is available as [Markdown](https://hugs-solutions.gitbook.io/hugs-platform/the-hugs-layer/on-chain-reputation/quality-scoring.md).

# Quality Scoring

## Stakeholder-specific Scoring

The **Quality Score** is based on the quality of contributions from the specific user. Depending on the role of the user, this has a slightly different meaning. 

### Contributors

For contributors the Quality Score is based on the feedback of Reviewers and Clients.

### Reviewers

For Reviewers the Quality Score is based on the reviewer consensus and the feedback of Clients. 

* If the reviewer consensus agrees with the individual reviewer this results in a positive quality score and vice versa
* If the client feedback corresponds with the reviewer feedback this results in a positive quality score and vice versa

### Clients

The Client Quality Score is based on the comparison between client feedback and reviewer consensus. 

* If the client feedback corresponds to the reviewer consensus, this results in a positive quality score and vice versa. 

## Calculating the Quality Score

The Quality Score is calculated using an Exponential Moving Average, similar to the Quantity Score. The EMA is based on the values Fi Î {0,1} which indicate negative and positive quality scores for the scenario’s described above.