One of the most common questions asked during the implementation of a new tool, platform, or business process is deceptively simple:
“How do we know if this is good enough?”
It sounds straightforward, but it quickly exposes a challenge that project leaders face in nearly every major initiative. If there is no objective standard to measure against that successes become subjective, which is not preferable. What one stakeholder sees as an improvement or as sufficient, another may view as falling short of expectations.
This is why benchmarks and industry standard comparisons are so important when working on something completely new to the organization. They provide context, create alignment, and help teams understand whether they are truly achieving or surpassing organizational needs or simply investing in change without advancing.
The Danger of Measuring in Isolation
Many project teams focus exclusively on delivering the agreed scope, budget, and timeline set by their customers. While these are important project management metrics, they do not necessarily tell us whether the delivered solution achieves or surpasses organizational needs.
Imagine implementing a new customer support platform.
- The project finishes on time and within budget.
- Users are trained.
- The system goes live successfully.
By traditional project metrics, this might be considered a success.
- But what if the average support resolution time remains significantly higher than industry standards?
- What if customer satisfaction scores lag behind competitors?
- What if the new platform still requires more manual effort than comparable organizations?
Without benchmarks, it becomes difficult to determine whether the project delivered meaningful business value or simply completed a set of activities. A project can be successful in execution while underperforming in real world outcome.
Benchmarks Create a Common Language
One lesson I’ve learned throughout my project leadership journey is that stakeholders often arrive with very different expectations.
- Executives may want strategic transformation
- Operations teams may want efficiency
- End users may simply want fewer frustrations
- Finance needs clear reporting
- Compliance requires the tool to meet regulatory standards
When discussions regarding achieving requirements become emotional or opinion-based, benchmarks are the most invaluable items to reference so that conversations shift toward objective measures.
Rather than debating whether a process is “good enough,” teams can ask:
- How does our performance compare to industry averages?
- What do leading organizations achieve?
- What metrics define success in this space?
- Are we improving relative to where we started?
Benchmarks provide a common language that reduces ambiguity and helps align stakeholder expectations.
Start the Benchmarking Conversation Early
Just as I’ve written previously about starting with the end in mind, benchmarking should begin during discovery and planning rather than after implementation begins or is complete.
One of the most overlooked project questions is: “What are we trying to be better than?”
The answer might be any of some of the following and without establishing that comparison point early, teams often find themselves struggling to define success after deployment.
- Our current process
- A competing product
- An industry average
- A regulatory standard
- Internal organizational targets
The reality is that measuring outcomes becomes much easier when baseline measurements are collected before work begins. It’s simple, if we don’t know where we started, proving improvement becomes very difficult.
Industry Standards Help Manage Expectations
Another benefit of benchmarking is expectation management. Since project leaders are frequently caught between ambitious goals and practical realities. Stakeholders may expect immediate gains that exceed what is realistically achievable. Industry standards provide perspective and an accurate reference of measure.
For example:
- Software defect rates have expected ranges.
- Service response times follow established performance patterns.
- Productivity gains from automation typically fall within measurable boundaries.
- User adoption rates often follow predictable curves.
Understanding these standards allows project leaders to have informed conversations about what good performance actually looks like. This helps prevent organizations from setting unrealistic expectations that no implementation could reasonably meet.
Benchmarks Support Better Risk Management
In a previous Project Leadership Unlocked article, I discussed the importance of risk management. Benchmarks are closely connected to disciplines wrapped around risk management. When performance falls significantly outside established norms, it often signals potential risk or future issues that may arise.
- A project schedule that is substantially shorter than similar implementations may indicate underestimation.
- Testing coverage that falls below industry recommendations may increase quality risks.
- Staffing models that differ dramatically from comparable projects may create delivery concerns.
Benchmarks do not eliminate any of these risks, but they provide an early warning system that helps project leaders identify areas requiring closer scrutiny.
Beware of Benchmarking Without Context
As valuable as benchmarks are, they must be used thoughtfully and transparently. Not every organization, implementation, or team is the same so ensure you are working within your standards and not extraneously.
A startup, a global enterprise, a government agency, and a nonprofit may all face different constraints, priorities, and operating environments. No matter which of these describe your world, the goal is not to blindly copy what others are doing. The goal is to understand what is possible, what is typical, and what exceptional performance looks like.
The most effective project leaders use benchmarks as a guide rather than a mandate. Data should inform decisions and measurements, not replace judgments or customer sign off.
Benchmark Examples
1. Six Sigma Defects Per Million Opportunities (DPMO)
Six Sigma provides an excellent example of how benchmarking transforms quality management. Rather than simply stating that a process produces “few defects,” organizations can measure performance against a globally recognized standard of defects per million opportunities. This creates an objective framework for evaluating process capability and identifying areas for improvement. The strength of the Six Sigma benchmark is that it removes ambiguity from quality discussions and replaces opinions with measurable performance data. When leaders know exactly how their defect rates compare to established quality standards, improvement efforts become far more targeted and effective.
Link: https://www.6sigma.us/process-improvement/six-sigma-defects-per-million/
2. First Pass Yield (FPY)
First Pass Yield demonstrates why benchmarking must look beyond surface-level success measures. A production line may report excellent final output numbers yet still consume significant resources correcting defects throughout the process. FPY provides a benchmark that measures how often work is completed correctly the first time, making it a valuable indicator of operational excellence. Organizations that benchmark and improve FPY are not only improving product quality but also reducing waste, increasing throughput, and strengthening profitability. It is a powerful reminder that true performance is often found beneath the headline metrics.
Link: https://usersolutions.com/blog/first-pass-yield
3. Customer Support Response Time Benchmarks
Customer service provides one of the clearest examples of effective benchmarking. Most organizations do not simply measure whether support tickets are answered; they measure how quickly they are answered compared to industry expectations. Metrics such as First Response Time and Resolution Time provide objective standards that help leaders determine whether service levels are truly competitive. A support team that improves response times from twenty-four hours to twelve hours may view that as progress, but benchmarking can reveal whether that performance still falls short of industry norms. This context transforms simple measurement into meaningful performance evaluation.
Link: https://www.fullview.io/blog/first-response-time
4. DORA Software Delivery Metrics
The DORA metrics framework demonstrates how benchmarks can align technology initiatives with business outcomes. Rather than declaring a software implementation successful because it launched on schedule, organizations measure delivery speed, stability, and recovery performance against industry-recognized standards. These metrics help teams understand whether they are operating at a level comparable to high-performing organizations or whether additional process improvements are needed. The power of DORA lies in its focus on outcomes rather than opinions, creating a common language for engineering leaders, executives, and operational teams
Link: https://dora.dev/guides/dora-metrics/
5. Accounts Payable (AP) Processing Benchmarks
Finance departments routinely use accounts payable benchmarks to determine whether process improvements are generating real value. Measuring invoice processing costs, cycle times, and payment accuracy against recognized industry standards helps organizations move beyond subjective assessments of efficiency. A team may feel that a new automation platform is delivering benefits, but benchmarking provides evidence of whether those gains are actually competitive. This approach helps justify investments, identify improvement opportunities, and ensure financial operations continue to mature over time.
Link: https://www.apqc.org/resource-library/resource-collection/accounts-payable-key-benchmarks
The Leadership Responsibility
Ultimately, project leadership is about helping organizations make informed decisions while delivering results.
- Benchmarks provide information around this work.
- Industry comparisons provide situational context.
Together, they create a foundation for objective evaluation and continuous improvement.
When introducing a new tool or delivering a new capability, stakeholders deserve more than a simple declaration that the project is complete. They deserve to understand whether the result is competitive, sustainable, and capable of delivering meaningful value. Completion is not the finish line for the system; it is the starting point of operations. Performance and results are the finish line and they become much easier to understand when we are willing to measure ourselves against something greater than our own expectations.