What are they?

Driver-Based Performance Management (DBPM) is a structured approach that focuses on identifying the outcomes an organization wants, and the drivers that have a quantifiable, cause-and-effect impact on those outcomes. Predictive Performance Models (PPM) utilize historical data to develop a forecast of future performance based on existing process capabilities.

Why are they used?

The DBPM approach clearly identifies the problem statement and the key performance metrics that require ongoing measurement and reporting. By specifying cause-and-effect relationships in a DBPM “driver tree,” leaders can focus on the metrics that matter. PPM can then be developed to understand the problem at a deeper level, applying analytics to uncover key insights. These models help identify the highest leverage drivers to swarm – either with targeted improvements to specific drivers or by fundamentally changing/improving process capabilities. Development of a PPM is an iterative process to incorporate the right performance drivers and identify high-impact barriers on which to focus process improvement for maximum effect.

Consistent with the CNO’s Design 2.0, DBPM and PPM serve to accelerate the Navy’s transition to data-driven decision-making via cross organization/Budget Submitting Office learning on analytics and predictive performance models.

What are the outputs?

Driver trees are the key output of DBPM, which help visualize the cause-and-effect relationships between “outcome metrics” (the ultimate indicators of success) and “driver metrics” (which have a cause-and-effect relationship with the outcome metrics or other drivers). Driver trees are developed through a facilitated session with N83 and relevant subject matter experts. Each metric is specifically defined in a data dictionary with an authoritative data source. These materials are then used to assemble PPM, leveraging a wide range of analytical tools – from basic spreadsheets to advanced algorithms depending on the nature of the problem.

What is it?

Command and control alignment is key to P2P efforts, driving clarity about what leader is ultimately accountable for measured performance, and then supporting this leader with the right cross-organizational resources.
 

Why is it used?

P2P clarifies command and control alignment and supporting roles and responsibilities that reduce barriers to performance improvement.
 

What are its outputs?

Defined C2 roles, including Supported Commander and Supporting Commanders.

What is it?

The Barrier Removal Forum should be convened on a regular basis – at least quarterly – where P2P leaders present their forward-looking, data-driven performance forecast. P2P briefings utilize a standardized format and templated brief that focuses energy on key performance drivers and leadership actions. Barriers that are constraining and suppressing these performance drivers are specifically discussed, and swarmed if the data indicates high-leverage opportunities to improve.

Why are they used?

P2P Barrier Removal Forums are used to provide a cadence of accountability and barrier removal. Once a P2P driver tree has been defined, these Forums help determine which actions have the most leverage, and provide the necessary level of leadership to clear roadblocks.

What are the outputs?

P2P briefings that follow a specific template, and a clear set of leadership actions to improve performance.