CPC Perspective - A considered point of view from the Canada

Canada's productivity challenge is well known. For years, economists, governments, business leaders, and researchers have pointed to weak productivity growth and its implications for competitiveness, wages, investment, and living standards. The conversation matters. But awareness alone does not improve productivity.  At some point, diagnosis has to translate into decisions about how organizations invest, manage, design work, build capability, and use technology.

This is where the productivity conversation can become disconnected from productivity itself. At the national level, productivity is measured through economic indicators. At the organizational level, however, it is experienced much more practically: in how long decisions take, how easily information moves, whether technology improves the work, whether people have the capabilities they need, and how much friction sits between effort and results. 

The issue is not a lack of ideas. It is the distance between understanding what influences productivity and changing the systems in which productive work actually happens. Closing that distance requires more than another productivity initiative. It requires productivity thinking to become part of everyday management and investment decisions.

Before adding a new process: Will it make work easier or add another layer?

Before adopting a new technology: What will change about how the work is done?

Before adding another priority: What will we stop, simplify, or redesign?

Before investing in capability: Will people have the opportunity and systems to apply it?

Productivity improves when insight becomes practice.

Canada should continue asking the big questions about investment, innovation, skills, competition, and technology. But those conversations ultimately need to reach the places where productivity is created every day.

CPC's perspective is simple: Canada's productivity challenge will not be addressed through awareness alone. Progress depends on turning what we know into better decisions, better systems, and better ways of working.

That is where diagnosis becomes action.

Innovation has become a default ambition.

Organizations invest in new technologies, launch initiatives, and encourage idea generation—often with the assumption that more innovation will naturally lead to better performance.

But the relationship is not that straightforward.

Innovation, on its own, does not guarantee results. In many cases, it introduces complexity: new tools, new processes, new expectations. Without clear integration into how work is done, innovation can slow systems down rather than move them forward.

The issue is not innovation itself. It is how it is positioned.

When innovation becomes the goal, organizations risk focusing on activity rather than outcomes, what is new, rather than what works. Productivity offers a different anchor.

It asks a more grounded question:
Does this change improve how work moves, how decisions are made, and how value is delivered?

From this perspective, innovation becomes a means not an end.

It is useful when it simplifies workflows, strengthens capability, reduces friction, or improves system performance. It is less useful when it adds layers without removing others.

Across sectors, a pattern is emerging. The most effective organizations are not those that innovate the most, but those that integrate innovation into systems that can absorb and apply it.

Innovation creates possibility. Productivity determines whether it delivers.

This distinction matters.

When productivity leads, innovation becomes purposeful.
When innovation leads, productivity often becomes an afterthought.

CPC’s perspective remains consistent:
innovation should be evaluated not by novelty, but by its contribution to system performance.

That is where its value becomes real.

Many organizations set productivity goals with the best intentions: increase output, reduce cycle time, improve efficiency. Targets are defined, dashboards updated, and expectations communicated. Yet progress stalls, or worse, pressure increases without meaningful improvement.

The problem is rarely the goal itself. It’s the system underneath it.

Productivity goals fail when they are layered onto systems that were never designed to support them. When workflows are fragmented, decision rights unclear, incentives misaligned, or learning loops weak, goals become sources of strain rather than drivers of performance.

In these conditions, teams compensate with effort:

• longer hours
• workarounds
• heroic problem-solving

Short-term results may appear, but they rarely last.

System design shifts the conversation from what we want to achieve to how work actually moves. It examines where decisions sit, how information flows, what slows progress, and what behaviors the system rewards. Without this foundation, productivity targets act like instructions without infrastructure.

The most sustainable productivity gains come not from pushing harder but from designing systems that make better performance easier, repeatable, and resilient.

Productivity improves when systems do, not when pressure does.
This is the distinction CPC continues to emphasize: productivity is not a target to hit; it’s a system to design.