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Environmental risk must be communicated effectively and meaningfully. The FINESSE Fishbone Diagram provides a practicla approach.
Environmental risk must be communicated effectively and meaningfully.

Environmental decisions fail because people hear the same risk described in completely different ways and walk away with entirely different understandings of what’s at stake. Before we ever get to the data, the conversation is already shaped by how risk is framed, who is doing the framing, and what the audience brings to the table. To address these issues, we first need to examine how we describe risk—and explore what we can do to fix it.

 

The Problem: We Describe Risk in Ways That Don’t Match How People Think

Risk is typically expressed in technical terms as the likelihood multiplied by the consequence. It’s clean, rational, and mathematically simple (usually too simple). In human health, risk is often expressed in more nuanced ways — through exposure pathways, dose–response relationships, uncertainty factors, and the vulnerability of specific populations.


People don’t respond to risk based on probability curves. They respond based on trust, control, fairness, and personal relevance. When our communication doesn’t account for that, even the best science falls flat.

 

 

Through hundreds of projects, I’ve seen five dominant ways we describe environmental risk. Each has strengths, weaknesses, and predictable human reactions.

 

1. Scientific Risk

Foundation: Probabilities, exceedances, recurrence intervals, and dose–response curves.

Strength: Accurate and comparable.

Weakness: Emotionally meaningless to most stakeholders.

Typical reaction: Underestimation of slow-moving risks and overreaction to visible ones.

 

 

2. Regulatory Risk

Foundation: Thresholds, standards, attainment, impairment.

Strength: Clear compliance boundaries.

Weakness: Creates a false binary: “below the limit = safe.”

Typical reaction: Complacency or confusion when standards change.

 

 

3. Economic Risk

Foundation: Costs, avoided costs, ROI, lifecycle impacts.

Strength: Resonates with decision-makers.

Weakness: Can appear cold or disconnected from community values.

Typical reaction: Acceptance from executives, skepticism from the public.

 

 

4. Social or Perceived Risk

Foundation: Fairness, equity, control, and community identity.

Strength: Captures what people actually care about.

Weakness: Often dismissed as “emotional” or “non-technical.”

Typical reaction: Strong engagement — or strong resistance.

 

 

5. Narrative or Emotional Risk

Foundation: “This threatens our way of life.”

Strength: Mobilizes action.

Weakness: Easily misused or politicized.

Typical reaction: Rapid alignment or rapid polarization.

 

 

 

Environmental decisions are consistently hindered when the five risk lenses diverge. Without alignment, progress stalls and conflict grows, making decisions unnecessarily difficult and divisive.

 

The FINESSE Perspective

The FINESSE framework emphasizes clarity, transparency, and trust. Applied to environmental risk, it pushes us to do a handful of things exceptionally well.

 

Frame the issue clearly.

Stakeholders need to know what the risk actually is — not just the metric used to measure or express it.

What does it affect? Who feels it first? What changes if we act or don’t act?

 

 

Acknowledge uncertainty honestly.

Uncertainty isn’t a weakness. It’s a reality. Trust increases when we name uncertainty, quantify it, and explain what we’re doing about it.


 

Simplify without distorting.

The goal isn’t to “dumb down” the science. It’s to make the science useful.

 

 

Engage stakeholders early.

People support what they help shape. Risk communication is not a broadcast; it’s a dialogue.

 

 

Show the tradeoffs.

Every environmental decision has winners, losers, and timing implications. Transparency about tradeoffs builds credibility.

 

 

Explain the path forward.

Risk without action is noise. Risk with a plan is leadership.

 

 


So, Is Risk in the Eye of the Beholder?

When we describe risk only through technical lenses, we lose the audience.


When we describe risk only through emotional lenses, we lose the rigor.


Our job is to bridge the two. The sweet spot — the FINESSE sweet spot — is where clarity, honesty, and relevance meet.

 

Environmental risk is not only to be measured—it must be communicated effectively and meaningfully, especially across human concerns. Bridging communication is the overlooked step where sound decisions start.



JD Solomon Inc. provides solutions for program development, asset management, and facilitation at the nexus of facilities, infrastructure, and the environment. Visit our Environmental page for more information.

JD Solomon writes and speaks on decision-making, reliability, risk, and communication for leaders and technical professionals. His work connects technical disciplines with human understanding to help people make better decisions and build stronger systems. Learn more at www.jdsolomonsolutions.com and www.communicatingwithfinesse.com.

Without accurate inventories, condition scores, and replacement values, the capital plan is built on a shaky foundation. JD Solomon Inc. provides practical solutions.
Without accurate inventories, condition scores, and replacement values, the capital plan is built on a shaky foundation.

Asset criticality and risk are essential for prioritizing projects, but they are not relevant when validating asset data for a capital plan. The initial plan development should focus on the accuracy, completeness, and consistency of asset records—not on ranking which projects should come first.

 

Why Are Asset Criticality and Risk Not Important in Validating Asset Data for the Capital Plan?

When organizations embark on developing a capital improvement plan (CIP), one of the first hurdles they face is ensuring that their asset data is reliable. Without accurate inventories, condition scores, and replacement values, the plan itself risks being built on shaky foundations. A deliberate choice is to exclude criticality and risk scoring from the discussion of data validation. This intentional omission allows you to focus on the core data.

 


Data Validation vs. Project Prioritization

Data validation is the process of confirming that the information in your asset management system is correct, consistent, and usable. It asks questions like:

  • Do we have the right number of assets in the inventory?

  • Are condition scores applied consistently across asset classes?

  • Is replacement asset value (RAV) calculated using a defensible method?


By contrast, criticality and risk scoring are tools for prioritization. They help decision makers determine which projects should be funded first, based on the potential consequences of failure, service impacts, or safety concerns. These are vital for investment decisions, but they do not tell us whether the underlying data is accurate.

 

Why Criticality Doesn’t Validate Data

Criticality measures how important an asset is to system performance or organizational objectives. For example, a water treatment plant may be deemed more critical than a small pump station. But this ranking does not confirm whether the pump station’s install date is correct, whether its condition score is reliable, or whether its replacement cost is accurate.

 

In other words, criticality is a lens for prioritization, not a test of accuracy. A highly critical asset can still have poor or incomplete data. Conversely, a low-criticality asset may have pristine records. Validation must focus on the quality of the data itself, not the importance of the asset.

 

Why Risk Scoring Doesn’t Validate Data

Risk scoring typically combines condition, criticality, and consequence of failure into a matrix that guides investment decisions. While powerful for prioritization, risk scoring assumes that the underlying data is already valid. If condition scores are inconsistent or replacement values are inflated, the risk matrix will produce misleading results.

 


This is why my approach emphasizes condition and asset replacement value as the key dimensions for data validation. These are measurable, verifiable, and directly tied to the accuracy of asset records. Risk scoring, by contrast, is a derivative process—it depends on validated data to function properly.

 

The Danger of Mixing Validation with Prioritization

Organizations sometimes conflate validation with prioritization, believing that if they can rank projects, their data must be sound. This is a dangerous assumption. A risk matrix built on flawed data can create a false sense of confidence, leading to misallocated funds and missed opportunities.

 

By separating the two processes, planners can ensure that:

  • Validation establishes a trustworthy foundation of asset data.

  • Prioritization applies criticality and risk scoring to the validated data to guide investment decisions.

 


Practical Implications for Capital Planning

For practitioners, the takeaway is clear:

  1. Focus validation efforts on condition and value. These are the most direct indicators of data quality.

  2. Use criticality and risk only after validation. They are powerful tools for prioritization, but criticality and risk cannot be a substitute for accurate data.

  3. Communicate the distinction to stakeholders. Decision makers often conflate these concepts; clarifying the distinction builds trust and ensures better outcomes.


Validating Asset Data through the Capital Plan

Leaving out criticality and risk from asset data collection and validation highlights the key difference between validating data and prioritizing projects. For a sound capital plan, focus validation on asset lists, condition, and value; use criticality and risk only in prioritization.



JD Solomon is the founder of JD Solomon, Inc., the creator of the FINESSE Fishbone Diagram®, and the co-creator of the SOAP criticality method©. He is the author of Communicating Reliability, Risk & Resiliency to Decision Makers: How to Get Your Boss’s Boss to Understand and Facilitating with FINESSE: A Guide to Successful Business Solutions.

JD Solomon Inc. provides solutions for program development, asset management, and facilitation at the nexus of facilities, infrastructure, and the environment. Visit our Asset Management page for more information related to reliability, risk management, data analytics, and other asset management services.


The result is easier to explain to executives, simpler to defend during audits, and directly useful to front-line staff.  JD Solomon Inc. provides practical solutions for criticality analysis.
The result is easier to explain to executives, simpler to defend during audits, and directly useful to front-line staff.

I vividly remember sitting in the conference room in central Florida with my trusted colleague Jim Oldach and our client, an old hand from NASA who was now the operations manager for a public utility. We had just completed preparing the team for three months of evaluating systems and assets for criticality, condition, and risk.


Following the meeting, with only the two of us present, our seasoned client asked the simple question, "Isn't there a better way?" I remember taking a pause before answering. I knew both Jim and our client had world-class experience and training. And both would likely follow traditional approaches.


With a bit of hesitation, I replied, "I think so. I have been wanting to try something new, something that will get us to the same place with a lost less effort." The client charged us to put our heads together and left the room.


Jim surprised me as we caught each other's eyes. "We think a lot alike, he said. I have been thinking this for years and just haven't had the right opportunity or partner. Let's do this."


The journey began.



The Solomon-Oldach Asset Prioritization (SOAP) Method

The Solomon-Oldach Asset Prioritization (SOAP) method offers a practical, facilitation-friendly approach for identifying which assets matter most. SOAP was developed as a streamlined alternative to the exhaustive (and exhausting) criticality assessments that often bog down teams. SOAP delivers a defensible, operationally relevant ranking with a fraction of the effort involved in traditional processes.


You will quickly run out of time, budget, and patience if your organization treats every asset as if it were the center of the universe.

 

How Long SOAP Has Been Around

The SOAP method was first prototyped, tested, and peer-reviewed in the mid-2010s, with initial presentations to the reliability community in 2016. These early rollouts helped refine the structure, scoring, and facilitation techniques that now define the method.

 

Over the past decade, SOAP has shifted from an experimental approach to a recognized, field-tested tool for organizations that need structured yet resource-effective criticality assessments. This history gives SOAP a proven foundation while remaining modern enough to respond to today's operational realities.

 

Core Benefits of SOAP

SOAP’s primary benefit is efficiency. Organizations consistently report that SOAP requires significantly less staff time and preparation than traditional criticality methodologies.

 

A key strength is the two-tiered approach. At the system level, cross-functional groups use preference ballots to identify what matters most. At the asset level, SOAP applies straightforward, function-based scoring that captures operational consequences without requiring deep failure-mode modeling.

 

The result is a prioritization framework that is easier to explain to executives, simpler to defend during audits, and directly useful for maintenance, inspection, and capital planning.

 


Why Leaders Appreciate the Method

Beyond efficiency, leaders appreciate SOAP because it reinforces alignment. The method requires operations, maintenance, engineering, finance, and leadership to participate in a structured way. Using SOAP reduces the tendency for any one group to dominate the conversation or to set priorities based solely on personal experience.

 

SOAP is also facilitation-friendly, meaning it can be completed efficiently with the right preparation and a skilled facilitator who can keep teams focused.

 

The clear outputs help leadership translate the prioritization into funding allocation or risk management actions.

 

Challenges and Tradeoffs

Like all streamlined methods, SOAP introduces tradeoffs. The method depends heavily on good facilitation and representative participation.

 

If the workshop participants do not reflect the full range of operational reality, the prioritization may be skewed.

 

SOAP also relies on expert judgment rather than deep analytical modeling, which may mean it does not fully capture low-probability technical failure modes that a detailed RCM or FMEA analysis might uncover.

 

These limitations do not diminish the value of SOAP. They simply mean users should treat it as a rapid prioritization tool and apply deeper analysis where the stakes justify it.


  

Where SOAP Has Been Used Successfully

SOAP has been successfully implemented in water and wastewater utilities, industrial facilities, manufacturing plants, and public infrastructure agencies. Its speed and clarity make it particularly useful for pilot programs, capital renewal planning, maintenance strategy development, and strategic asset management plan (SAMP) projects.

 

Several organizations have used SOAP to establish an initial risk-based asset list that becomes the foundation for more detailed studies.

 

Others have used it to demonstrate early wins during broader asset management rollouts, helping secure leadership buy-in and organizational momentum.

 

The Practical Takeaway

If your organization needs clarity without unnecessary complexity, SOAP is a strong first step. Begin with a facilitated system-level ballot session. Follow with function-based scoring at the asset level. Document decisions clearly. Then convert the highest-priority assets into targeted maintenance, inspection, or capital improvement actions. SOAP helps teams move quickly from unclear priorities to aligned direction, making it a practical tool for leaders who want both speed and rigor in their asset management decisions.

 


JD Solomon is the founder of JD Solomon, Inc., the creator of the FINESSE Fishbone Diagram®, and the co-creator of the SOAP criticality method©. He is the author of Communicating Reliability, Risk & Resiliency to Decision Makers: How to Get Your Boss’s Boss to Understand and Facilitating with FINESSE: A Guide to Successful Business Solutions.

JD Solomon Inc. provides solutions for program development, asset management, and facilitation at the nexus of facilities, infrastructure, and the environment. Visit our Asset Management page for more information related to reliability, risk management, resilience, and other asset management services.

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