<?xml version="1.0"?>
<feed xmlns="http://www.w3.org/2005/Atom" xml:lang="en-US">
	<id>https://www.insurerbrain.com/w/index.php?action=history&amp;feed=atom&amp;title=Definition%3AWeighted_scoring_model</id>
	<title>Definition:Weighted scoring model - Revision history</title>
	<link rel="self" type="application/atom+xml" href="https://www.insurerbrain.com/w/index.php?action=history&amp;feed=atom&amp;title=Definition%3AWeighted_scoring_model"/>
	<link rel="alternate" type="text/html" href="https://www.insurerbrain.com/w/index.php?title=Definition:Weighted_scoring_model&amp;action=history"/>
	<updated>2026-05-04T03:16:40Z</updated>
	<subtitle>Revision history for this page on the wiki</subtitle>
	<generator>MediaWiki 1.43.8</generator>
	<entry>
		<id>https://www.insurerbrain.com/w/index.php?title=Definition:Weighted_scoring_model&amp;diff=20975&amp;oldid=prev</id>
		<title>PlumBot: Bot: Creating new article from JSON</title>
		<link rel="alternate" type="text/html" href="https://www.insurerbrain.com/w/index.php?title=Definition:Weighted_scoring_model&amp;diff=20975&amp;oldid=prev"/>
		<updated>2026-03-19T13:40:21Z</updated>

		<summary type="html">&lt;p&gt;Bot: Creating new article from JSON&lt;/p&gt;
&lt;p&gt;&lt;b&gt;New page&lt;/b&gt;&lt;/p&gt;&lt;div&gt;⚖️ &amp;#039;&amp;#039;&amp;#039;Weighted scoring model&amp;#039;&amp;#039;&amp;#039; is a structured decision-making framework used in the insurance industry to evaluate and rank alternatives — such as [[Definition:Technology vendor | technology vendors]], [[Definition:Reinsurance | reinsurance]] program structures, strategic initiatives, or [[Definition:Risk | risk]] factors — by assigning numerical scores across multiple criteria and weighting each criterion according to its relative importance. Insurance organizations face complex, multi-dimensional choices where no single metric tells the whole story: selecting a new [[Definition:Policy administration system | policy administration system]], for example, involves weighing functionality, cost, implementation timeline, vendor stability, [[Definition:Regulatory compliance | regulatory compliance]] capability, and integration with existing [[Definition:Insurtech | insurtech]] platforms, each of which matters to different stakeholders in different degrees.&lt;br /&gt;
&lt;br /&gt;
📊 Building the model starts with identifying the evaluation criteria relevant to the decision at hand, then assigning each criterion a weight that reflects its strategic importance — typically expressed as a percentage that sums to 100%. Evaluators score each alternative against every criterion on a consistent scale (commonly 1–5 or 1–10), and the weighted scores are summed to produce a composite ranking. In an [[Definition:Underwriting | underwriting]] context, a [[Definition:Managing general agent (MGA) | MGA]] evaluating prospective [[Definition:Insurance carrier | carrier]] partners might weight [[Definition:Financial strength rating | financial strength]] at 30%, appetite alignment at 25%, [[Definition:Commission | commission]] terms at 20%, [[Definition:Claims settlement | claims handling]] reputation at 15%, and technology compatibility at 10%. The transparency of the weighting structure makes it easier to document rationale for internal governance and [[Definition:Audit | audit]] purposes — a practical advantage in heavily regulated environments.&lt;br /&gt;
&lt;br /&gt;
💡 Beyond procurement, weighted scoring models appear throughout insurance decision-making. [[Definition:Actuarial science | Actuaries]] and [[Definition:Risk management | risk managers]] use similar frameworks when prioritizing emerging risks for inclusion in [[Definition:Own risk and solvency assessment (ORSA) | ORSA]] reports. [[Definition:Claims | Claims]] teams may score and triage large-loss cases by combining severity estimates, coverage complexity, and litigation likelihood. The model&amp;#039;s principal strength is its enforced consistency — it compels evaluators to articulate their priorities explicitly rather than relying on intuition or anchoring on a single dramatic factor. Its limitation is that the outputs are only as good as the weights and scores assigned, which remain subjective. Effective implementation therefore pairs the quantitative framework with structured discussion, calibration sessions, and periodic reassessment of whether the chosen weights still reflect organizational priorities.&lt;br /&gt;
&lt;br /&gt;
&amp;#039;&amp;#039;&amp;#039;Related concepts:&amp;#039;&amp;#039;&amp;#039;&lt;br /&gt;
{{Div col|colwidth=20em}}&lt;br /&gt;
* [[Definition:Vendor risk assessment]]&lt;br /&gt;
* [[Definition:Vendor performance review]]&lt;br /&gt;
* [[Definition:Enterprise risk management (ERM)]]&lt;br /&gt;
* [[Definition:Own risk and solvency assessment (ORSA)]]&lt;br /&gt;
* [[Definition:Decision framework]]&lt;br /&gt;
* [[Definition:Risk appetite]]&lt;br /&gt;
{{Div col end}}&lt;/div&gt;</summary>
		<author><name>PlumBot</name></author>
	</entry>
</feed>