B
Since your quality is based on how your deliverable satisfies your customer, you may want to consider looking at factors like contract renewal rate, referral rate, and repeat business. Also, you may want to consider regular customer surveys whether formal / informal to measure satisfaction and gain feedback.
I would be careful on the revision count metric, possibly balancing with on-time delivery. By making more revisions a negative, it may increase the time spent to generate first revision and then the chances of that first revision being possibly off track. A different model might be to generate a rapid first draft, getting bones on paper, and then having a review session to hash out questions and confirm next steps. This is more of an Agile sprint approach, which may or may not fit into your company culture.
Whatever the metric, try to consider what behavior the metric encourages, both positive and negative. I used to work in distribution. One of the key metrics for distribution center managers was return rate where the return was coded as a picking or related error. Some managers had a full time analyst reviewing / contesting the return coding with customer service to improve the metric since bonuses depended on it. More time seemed to be spent in juicing the metric than in improving location accuracy and picker skills.
I would be careful on the revision count metric, possibly balancing with on-time delivery. By making more revisions a negative, it may increase the time spent to generate first revision and then the chances of that first revision being possibly off track. A different model might be to generate a rapid first draft, getting bones on paper, and then having a review session to hash out questions and confirm next steps. This is more of an Agile sprint approach, which may or may not fit into your company culture.
Whatever the metric, try to consider what behavior the metric encourages, both positive and negative. I used to work in distribution. One of the key metrics for distribution center managers was return rate where the return was coded as a picking or related error. Some managers had a full time analyst reviewing / contesting the return coding with customer service to improve the metric since bonuses depended on it. More time seemed to be spent in juicing the metric than in improving location accuracy and picker skills.