Key metrics can include “lead” - the time required for a feature in the backlog to move into production, or ‘velocity’ - the number of user stories completed in one cycle.
Goal-aligned metrics can be evaluated from ‘user adoption’ or assessing ‘customer satisfaction’. For all chosen metrics, make sure they relate to broader strategic goals as well as projects artifacts, roadmap, and backlog.
Validation metrics can take the form of “user stories” or “number of bugs.” They need to motivate desired behaviours and emphasise a greater focus on results.
Establishing management commitment can be done through regular and frequent meetings to ensure involvement. Senior buyin is crucial to the success of the project. Lack of leadership involvement and understanding is one of the most common reasons for project failure.
For data-driven decisions, leverage automated tools to capture performance. Increase automation as much as possible. (see more in the Efficiency and Real-automation sections)
To communicate performance, use development and management tools that allow the capture and display of metrics and measurements in real-time.