Moksha

The Moksha Submissions System

The Rating System

Moksha allows a reader to rate submissions, as well automatically flag submissions as recommended or not-recommended based on a threshold. Individual ratings can be turned on and off, and their colors and descriptions can be changed.

To configure your rating settings, do the following:

  1. Visit your submission type page and click the “Edit” button at the top right.
  2. Click on the “Workflow” tab.
  3. “Use rating system” turns the rating system on or off for this submission type.
  4. “Calculate rating averages” determines if each new rating is averaged with any previous ratings.
    1. For example, if set to YES, if someone rates the submission 5, and the next reader rates the submission a 10, the submission will be assigned the average rating of 7.5.
    2. If set to NO, and if someone rates the submission 5, and the next reader rates the submission a 10, the submission will be assigned the rating of 10.
    3. Typically, you will want this left on YES.
  5. When “Use rating system” is set to YES the “Rating Auto-Recommend” options will appear.
  6. If the “Use rating auto-recommend system” is set to YES you will need to set a minimum recommended threshold.
    1. For example, if you set the “Minimum recommended rating” to 7, then all submissions rated 7 or above will automatically be marked as “recommended” and all submissions marked 6 or below will automatically be marked as “not-recommended.”
  7. Under “Rating Settings” you can turn on or off individual ratings, change their color, and their accompanying text.
    1. The rating descriptions will be shown to readers when rating a submission.
    2. Disabled ratings will not appear as an option to readers.
    3. The rating color will be displayed on the submissions index and individual pages.

These rating features can greatly simplify your workflow. For example, if you combine this rating system with the Automatic Forwards feature, you can do powerful things with a single click such as the following :

Example Workflows

  • A reader rates a submission a 7
  • Moksha automatically marks it “recommended.”
  • Moksha forwards the submission to Jane Q. Editor’s queue.
  • Jane Q. Editor gets an email notification of the new submission with “recommended” status in her queue.

Another example:

  • A reader rates a submission a 6
  • Moksha automatically marks it “not recommended.”
  • Moksha forwards the submission to John P. Slusher’s queue.
  • John P. Slusher gets an email notification of the new submission with “not recommended” status in his queue.