Stevi Siber-Sanderowitz is an insurance professional whose work spans legal analysis, insurance analytics, and communications. Her approach emphasizes technical accuracy, clear explanations, and practical insights that help decision-makers understand insurance risks and evaluate their options.

Putting Insurance Data in Context

An explanation of insurance coverage or claims data can be technically correct and still leave the reader unsure what to do next.

A business may see its workers’ compensation losses increase without knowing whether claims are more frequent, more expensive, or affected by changes in reserves. Another may carry substantial liability limits without understanding how an exclusion, sublimit, or retention affects the coverage available.

Working at the intersection of insurance analytics, legal analysis, and communications has reinforced my belief that information is only useful when people understand what it means and what they can do with it.

Brokers and risk managers have access to loss runs, claims histories, financial projections, policy documents, and benchmarking reports. However, adding more data to a report does not necessarily help someone make a better decision.

For example, a business may report a 40 percent increase in total incurred losses, while the data shows that the increase came from a reserve adjustment on one older claim and that claim frequency remained flat. Without that context, management might blame its safety program or enter renewal discussions with a distorted view of its losses.

A sound analysis separates frequency from severity, paid losses from reserves, and longer-term trends from one-off events. It also accounts for changes in operations, exposure, and claim maturity before comparing results across years.

Explaining the Practical Impact of Policy Language

Insurance policies are legal contracts, and their exact wording controls. Terms like additional insured and contingent business interruption have specific meanings that can be lost when they are reduced to a single sentence.

As an attorney, I appreciate the importance of technical accuracy. As a communications professional, I also recognize that an accurate explanation has limited value if the reader cannot understand it.

“Information is only useful when people understand what it means and what they can do with it.”

Identifying an exclusion is not enough. The explanation should clarify when it might apply and what that could mean for a particular claim. Similarly, a discussion of liability limits should cover the sublimits, retentions, exclusions, and conditions that could affect the insurer’s obligation to pay.

An executive reviewing a multimillion-dollar insurance program should be able to understand where the company’s financial exposure begins, where insurance responds, and which questions remain unresolved.

Tailoring Information to Decision-Makers

Not everyone reviewing the same information is looking for the same answer.

A CFO reviewing a claims analysis may focus on retained losses, cash flow, and how different program structures affect costs. A risk manager may need claim-level detail to identify patterns and assess whether loss control measures are working. A CEO may want to know whether an exposure threatens operations, profitability, or growth.

All these executives need accurate information, but a report designed for everyone may end up serving mainly the person who wrote it. I start by identifying the decision each reader is responsible for making and then build the explanation around it.

I lead with the finding, explain why it matters, and then present the supporting information. An executive should not have to dig through dozens of charts to identify the central issue.

A chart that obscures a data limitation or implies more certainty than the evidence supports can be misleading. Past losses can inform projections, but they cannot guarantee the exact losses an organization will experience next year. If a recommendation depends on assumptions or incomplete information, those limitations should be made clear.

Turning Analysis into Action

After reviewing an analysis or discussing a coverage issue, the reader should understand what deserves attention and which steps are available.

If claims data reveals recurring injuries at specific locations, the analysis should identify contributing factors and appropriate preventive measures. If a coverage review reveals a significant gap, the explanation should clarify the exposure and outline options for addressing it.

Sometimes the next step is to make a change. In other cases, it is better to ask more questions before making a decision. Either way, the reader should understand the situation, the available options, and what remains to be resolved.