Tools

Performance Framing Graph (PFG).

A trend over time graph — or reference behavior pattern — of the system behavior(s) you want to understand and improve by applying SysQ

About

Performance Framing Graphs are powerful visual tools that map the interests, concerns, and performance metrics of diverse stakeholder groups within a system. These graphs reveal interconnections among different perspectives, expanding everyone's field of vision beyond their immediate concerns. By visually representing each stakeholder's key metrics over time, Performance Framing Graphs (PFGs) can:

  • facilitate cross-boundary collaboration

  • highlight potential tensions and synergies

  • support the development of more inclusive strategies

PFGs are particularly valuable in addressing complex adaptive challenges that span organizational boundaries because they translate diverse perspectives into actionable insights, balanced scorecards, and comprehensive performance indicators that reflect the whole system rather than isolated parts.

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Case Studies

Private Sector | Production and Order Fulfillment for a Multinational Engine Company

A cross-siloed management team at an engine production company was assigned the task of improving production. The concerning issue was that average time between receiving an order and fulfilling it had been steadily climbing (with seasonality) over the past few years.

Highlights

Each team member first created their proposed most important performance framing graph. Some were concerned with revenue loss. Others focused on customer satisfaction. Others believed maintaining supply inventory was the most important. Through small and large group discussion, the team members shared their individual graphs, explored similarities and differences, and refined their thinking into a single graph.

The final graph (shown above) was a normalized performance measure (average weeks in the backlog). They were focused on quarterly reporting, so used quarters as the unit of time. Although there was some seasonality to the trend as pictured by oscillations, the average was steadily climbing.

There was some evidence to indicate that customer satisfaction and sales would decrease if average weeks approached 3 weeks. They were approaching this limit at an alarming rate. The price paid might be significantly less sales, lower profitability and dissatisfied shareholders.

The team’s desired future was to bring average weeks in backlog to less than historical levels. Discussion led to more realistic expectations — their desired future indicated that an effective strategy might take a few months before it had an impact. Team members assumed improvement would ultimately exhibit diminishing returns as the strategy would cause average weeks to reach a new floor. For simplicity, they left out seasonality in their future vision.

The graph provided the key performance measure the system dynamics model must explain — what policies, decisions and investments are responsible for the performance and what changes must be made to create their vision of a new and much lower floor.