
For many sustainability teams, diversion rate is the default measure of performance.
It’s a useful metric that every company should know. It helps set goals, track progress, and communicate diversion outcomes to leadership and external stakeholders. And for many programs, it’s how success is measured.
But as programs grow, you start to notice something. The same diversion rate can represent very different levels of efficiency and risk within the organization. That’s why it becomes important to ask deeper questions about performance – not just what was diverted, but how the system behind it actually works.
Diversion rate is designed to answer a specific question: how much material did you keep out of landfills? It’s an important measure of environmental impact, but it’s focused on the outcome, not the operational reality behind it.
For many teams, this gap shows up in very practical ways. Pallets sit in backrooms waiting for approval. Materials are stored longer than planned because the next step or owner isn’t clear. Materials move only after manual follow-up or last-minute workarounds.
As materials wait and move through informal workarounds, the time outside of controlled, documented processes increases – and with it, risk accumulates.
That’s why two programs with similar diversion rates can create very different levels of operational burden and risk exposure for the organization. One may run predictably, with clear ownership and minimal disruption to operations. Another may rely on constant coordination, temporary storage, and extra effort to keep things moving. On paper, the outcomes look the same. Inside the organization, the cost, effort, and risk exposure are not.
As programs scale, those differences become harder to absorb. Delays and risks compound, and sustainability work takes a heavier operational toll – even when reported results stay strong. That’s typically when teams start looking for new ways to understand performance beyond outcomes alone.
To answer deeper questions about how diversion actually unfolds, you need a way to see where the process is working – and where it isn’t.
That’s why we’ve defined Time-to-Diversion as a performance benchmark.
Time-to-Diversion measures how long it takes for materials to move from intent to verified diversion. In practical terms, it tracks the time between deciding to divert material and its placement into a secure diversion channel, with documentation to support it.
This isn’t a scorecard about moving faster for the sake of speed. It’s a diagnostic tool that gives teams clear, actionable insight they can apply to strengthen program results and reduce operational burden.
Time-to-Diversion helps you see where progress slows – and where risk compounds as a result. A longer duration can signal friction in decision-making, operational prep, handoffs between teams, or access to the data needed to verify outcomes, extending the time materials spend in limbo, where custody, traceability, and verification are harder to maintain. A shorter one often indicates clearer ownership, fewer delays, and a more repeatable, controlled process.
Viewed alongside diversion rate, it changes how performance is understood. Diversion rate shows the result. Time-to-Diversion shows how efficiently and securely you got there.
When you look at Time-to-Diversion across projects or sites, patterns emerge. Those patterns point to where the system slows, strains, or loses control.
The Sustainability team may define the goal, but Ops, Procurement, Finance, and Compliance are stakeholders in the project and influence the timeline. When priorities, clear benefits to each team, or approval paths aren’t aligned early, materials can sit while teams work through questions around cost, risk, or responsibility.
This often shows up as materials waiting for project cost approval, questions about who owns disposition decisions, or projects put on pause while Finance or Procurement weighs in late in the process.
When diversion depends on internal sorting, staging, or other prep, extra steps and risk get added into already constrained environments. It increases handling, introduces variability, and makes timelines harder to predict, especially across multiple sites.
You often see this when sorting or staging is pushed to sites without the space, staffing, or time to do it consistently. It turns diversion into an ongoing operational exception instead of a defined, repeatable workflow.
The longer materials remain in internal storage or transition between teams or partners, the more effort it takes to maintain control, track movement, and ensure a verified chain of custody with complete documentation. Any gaps here go beyond slowing reporting. They increase exposure.
A common signal is documentation being assembled after the fact, rather than captured as materials move, making verification slower, less reliable, and gaps harder to spot.
What makes Time-to-Diversion useful is that it doesn’t just show that progress slowed. It helps you see where and why, and whether delays are isolated or systemic. Over time, that visibility makes it easier to focus effort where it has the greatest impact, and to understand which parts of the system are enabling progress and which ones are holding it back.
Early in a sustainability program, delays are often absorbed. Volumes are lower, projects are more contained, and teams can compensate with extra coordination or manual work. As programs scale, that flexibility disappears.
More sites, more material streams, and more stakeholders mean small delays compound. Materials sit longer. Storage space fills. Internal follow-ups multiply. What felt like a temporary slowdown becomes a persistent strain on the system, consuming space, attention, and coordination that teams can’t afford.
This is where Time-to-Diversion becomes especially valuable.
Longer Time-to-Diversion at scale often signals that processes haven’t been designed to handle complexity. Approval paths that worked for one site struggle to support many. Workflows that relied on individual effort become inconsistent. Complex and mixed materials don’t easily fit into standard diversion processes. And as materials wait, the operational burden and risk exposure increase along with them.
Shorter, more consistent Time-to-Diversion, on the other hand, tends to reflect a system that can handle growth. Decision paths are clearer. Roles are better defined. Materials move into secure custody sooner with less internal handling. Outcomes are easier to verify across sites and material streams.
At scale, this isn’t just about efficiency. It’s about repeatability and freeing teams from constant coordination, enabling better diversion results with less effort.
That’s why Time-to-Diversion isn’t just a measure of speed. As programs grow, it becomes a signal of whether sustainability performance is truly operationalized or still dependent on outsized manual effort and coordination, increasing operational and compliance risk.
You don’t need to redesign your program or change how work gets done to start using Time-to-Diversion. A practical starting point is to look at a single, recent diversion project or material load.
Identify when the decision was made to divert that material, and when it entered a verified diversion channel with documentation to support it. The time between those two points is your Time-to-Diversion for that project.
On its own, that number isn’t a judgment. What matters is the questions it helps you ask.
Where did time accumulate? Did progress slow during approvals, operational prep, scheduling, or documentation? Were materials waiting because ownership of the process wasn’t clear, or because the process relied on steps that were difficult to execute consistently?
From there, Time-to-Diversion becomes a way to learn how your system actually behaves, not just how it looks in reporting. It gives you a clearer starting point for identifying what helps move you forward, and what introduces delay, effort, or risk.
Sustainability performance has traditionally been judged by outcomes – how much material was diverted, whether targets were met, and what could be reported at the end of the cycle. Those measures still matter. But on their own, they don’t explain how operationally sound or repeatable that performance really is.
As programs grow, performance becomes just as much about the system behind the results as the results themselves – how decisions get made, how smoothly and securely materials move, and how consistently outcomes can be delivered without adding strain to the organization.
Time-to-Diversion offers a way to see that system more clearly. Not as a new score to chase, but as insight into how sustainability work actually unfolds across teams, sites, and processes.
That shift – from tracking outcomes to understanding how progress really happens – is what allows sustainability programs to scale with confidence.
Ready to take a closer look at your diversion system performance? Connect with one of our experts.