Metric drives behavior

Metrics without goals are naked—Metrics should always give you a clue on where you are regarding your goals. So, find out where you are, how you measure that, and where you want to be. Set up a metric that tracks your progress.
Balanced Metrics—Many metrics only focus on operational excellence. This creates a biased view on reality and distorts and deforms the organization as a whole. Therefore, balance metrics across the following dimensions:
1. Operational Excellence
  - Velocity
  - Burn rate
  - Predictability
  - Sustainability
  - Meeting deadlines
  - Stay within budget
  - Meet quality requirements
  - Cohesive set user stories in a sprint
2. User Orientation
  - Availability
  - Performance
  - User satisfaction (net promoter score (NPS)
3. Business Value
  - Business value per € development
  - Business value realization
4. Future Orientation
  - Enthusiasm and motivation
  - happiness index
  - Educational opportunities
  - Vision on future development
  - Innovative governance
- Have participants brainstorm on metrics and put each of them in the most appropriate category. Next, pick one or two from each catagory to create balance.
- Consider using planguage to capture metrics in a solid, comprehensive and consistent way.

Useful Metrics

Donald Reinertsen, author of Managing the Design Factory states that a good, useful metric is:

Simple—The ideal metrics are self-generating in the sense that they are created without extra effort in the normal course of business.
Relevant—One test of relevance is whether the metrics focus on things that are actually controllable by the people being measured. Psychologists have found that when people think that they can control something they are more motivated to control it. Measuring people on things they can not control simply causes stress, dissatisfaction, and alienation.
Leading—Managers like leading indicators, and prefer an imperfect forecast of the future to a perfect report on the past. It is better to measure the size of a test queue than it is to measure the processing times of individual tests because test queue size is a leading indicator of future delays in test processing. Accountants like lagging indicators that can be measured very accurately, but these point to things that have past.
Self-generating—Metrics are created without extra effort in the normal course of business, as in spin-off of daily activities.