Click the diagram to open the interactive DA Browser, where you can learn more about the decision points and options of this goal.
Why This is Important
There are several reasons why this process goal is important:
- Metrics should be driven by context, not by mandate. Every team has unique outcomes and improvement goals to measure. This observation is the critical driver for context-based metrics strategies such as objectives and key results (OKR) and goal question metrics (GQM). Where these strategies walk you through how to take a contextualized approach to measurement, they don’t go that final step to help you to select metrics that are right for you (supported by the Measure Outcomes process goal) or to how you’ll communicate them (supported by this goal).
- Process improvement requires contextualized measurement. With validated learning strategies such as Guided Continuous Improvement (GCI), part of running an improvement experiment is to assess the effectiveness of the new way of working (WoW), and to do that you need to measure what you’re hoping to affect. Your context will drive what you measure, how you measure, and how you communicate your measures.
- Effective governance requires contextualized measurement. You need to provide visibility to whomever is governing you, thereby providing them the information that they need to govern well. An important aspect of that visibility is access to metrics, ideally in real-time. This process goal provides options to aggregate and report measures.
Important Questions to Consider
- What is the focus of our measurement strategy?
- What is our overall measurement strategy?
- How will we aggregate, or “roll up”, measures throughout our organization?
- How will we communicate measures both within the team and externally to our stakeholders?
- What types of measures will we take and communicate?
- You need a metrics reporting strategy that reflects both your team’s needs and your organizational needs.
- It is highly desirable, and possible, to allow teams to have a fit-for-purpose metrics strategy.
- Automated measures are generally preferable to manual measures.
- Leading measures are generally preferable to trailing measures.
- Trends are generally preferable to scalars.
- Ranged measures are generally preferable to scalars.