Scoring Your Insurers: An Insurer Service Scorecard for Broking Firms

A broking firm measures a great deal. It rates its clients for retention and cross-sell, it tracks its own hit rate and its receivables, and every insurer on its panel is quietly scoring the firm on the quality and profitability of the business it brings. There is one relationship in the middle of all this that most firms never measure at all: how well each insurer actually serves the business the broker places with it.

That gap matters because the insurer's service is the broker's service, as far as the client is concerned. When an endorsement takes three weeks, when a cashless authorisation is slow, when a claim is disputed on a technicality, the client does not experience that as an insurer failure. It experiences it as the broker having placed it badly. The broker carries the reputational cost of an insurer's poor service and, without a scorecard, carries it blind, unable to say whether a given insurer is genuinely worse than the panel or whether one bad claim has coloured a whole relationship.

An insurer service scorecard closes that gap. It measures each panel insurer on the service dimensions that actually affect clients, rolls them into a quarterly score, and turns a set of impressions into a comparison the firm can act on. It is deliberately not the same exercise as rating an insurer's financial security at empanelment, which asks whether the insurer can pay, or the broker-performance scorecard the insurer runs on the firm. This is the firm scoring the insurer on service, quarter after quarter, and using the result to decide where business goes.

A useful scorecard measures what the client feels, not what is easy to count. Six dimensions capture almost all of the service quality that a placement decision should weigh.

1. Underwriting responsiveness. How quickly the insurer quotes, how firm the quote is, and how often it honours the terms it indicated. A slow or wobbly underwriting desk costs the broker placements and credibility.
2. Quote quality and hit rate. Whether the insurer's quotes are competitive and convertible, or whether it quotes to be seen quoting and never wins, which wastes the broker's submission effort.
3. Servicing and endorsement turnaround. How long routine endorsements, certificates and policy corrections take, which is the day-to-day texture of the relationship and the most frequent source of client irritation.
4. Claims performance. The dimension that matters most: claims turnaround, the proportion of claims disputed or short-paid, the speed of surveyor and loss-adjuster appointment, and how the insurer behaves on a contested claim.
5. Receivables and statement behaviour. How cleanly and promptly the insurer accounts for and pays commission, and how reconcilable its statements are, which is a service issue for the broker's own operations even if the client never sees it.
6. Relationship and flexibility. Whether the insurer's people are accessible, whether it flexes on reasonable requests, and whether it treats the broker as a channel worth supporting.

The first discipline is to measure these rather than assert them. Every firm has a felt ranking of its insurers. The scorecard's job is to test that felt ranking against recorded events, because the felt ranking is usually distorted by the one dramatic claim everybody remembers and blind to the steady, quiet drag of an insurer that is slow on everything.

The front of the relationship is underwriting, and two numbers describe it: how fast the insurer responds, and how well its quotes convert.

Quote turnaround is the elapsed time from the broker's submission to a firm quote. It is easy to capture if the placement workflow timestamps submissions and quotes, and it separates the insurers that respond in days from those that respond when chased. The metric that matters is not the average but the reliability: an insurer that quotes in two days on simple risks and disappears on anything complex has a turnaround problem the average hides.

Hit rate is the proportion of the insurer's quotes that the broker actually places, and it cuts two ways. A very low hit rate can mean the insurer's pricing is uncompetitive, so the broker submits to it out of habit and never wins, wasting effort on both sides. It can also mean the insurer quotes indicatively and then re-rates on acceptance, which is worse, because it means the quotes the broker took to clients could not be relied on. A healthy panel insurer converts a reasonable share of what it quotes and honours the terms it gave.

There is a related quality measure worth tracking: quote-to-bind consistency, the frequency with which the final terms match the quoted terms. An insurer that routinely adds conditions or loads premium between quote and bind is one the broker cannot present to a client with confidence, whatever its headline pricing. Capturing this needs nothing more than a note on each placement where the bound terms differed from the quote, aggregated by insurer over the quarter.

Claims performance is the heaviest-weighted dimension because it is the moment the whole product is tested, and it is where an insurer's service is most visible to the client and most damaging to the broker when it fails.

Measure claims on four sub-metrics:

• Claims turnaround, from intimation to settlement, benchmarked against the insurer's own commitments and against the IRDAI timelines that frame the market. The IRDAI (Protection of Policyholders' Interests) Regulations, 2024 and the associated master circulars set expectations for surveyor appointment, survey-report submission and claim decisioning, and the health-insurance framework sets cashless authorisation timelines. The scorecard measures the insurer against those norms, not against a number the broker invented.
• Dispute and short-payment frequency. The proportion of claims the insurer disputes, repudiates or settles below the assessed amount. A high rate is the clearest signal of an insurer whose product is cheaper because it pays less.
• Surveyor and loss-adjuster appointment speed. How quickly the insurer appoints a surveyor after intimation, because delay here is where a claim starts to sour and where the client starts to blame the broker.
• Claims communication. Whether the insurer keeps the broker and client informed, or whether every status update has to be extracted by a call.

Alongside claims, endorsement and servicing turnaround captures the everyday relationship. Routine endorsements, certificates of insurance, and policy corrections that take weeks generate a steady stream of client complaints that lands on the broker. This is the same servicing quality that connects to the firm's own claims-servicing SLA economics, because an insurer that is slow to service is an insurer whose business costs the broker more to hold.

One dimension of insurer service the client never sees but the broker feels acutely is how the insurer handles commission accounting and payment. It belongs on the scorecard because a panel insurer that is a nightmare to reconcile with imposes a real, recurring cost on the broking operation.

Measure the insurer on how it accounts for and pays what it owes:

• Statement quality. Whether the insurer's commission statements carry the broker's own policy references, arrive on a predictable cycle, and can be matched line by line, or whether every statement is a reconciliation project. An insurer whose statements omit the broker's references generates the bulk of the unmatched, ageing commission that clogs the receivable.
• Payment timeliness. Whether commission is paid on the contracted cycle or drifts, and whether the insurer nets prior-period recoveries without notice.
• Dispute resolution on commission. How the insurer handles a queried statement line, whether it engages and resolves or leaves the item to age.

This dimension links directly to the broker's working capital, because an insurer that is slow and opaque on statements is a large contributor to the reconciliation tail that inflates commission days outstanding. A firm that already runs a disciplined commission receivable ageing has this data as a by-product: the ageing schedule cut by insurer already shows which carriers hold most of the aged balance and why. Feeding that straight into the service scorecard costs nothing and adds a dimension the broker's finance function cares about even when the placement team does not.

Six dimensions become a scorecard through a weighting model, and the model should be simple enough that the firm actually runs it every quarter rather than admiring it once.

Score each insurer on each dimension on a small scale, one to five, from recorded events over the quarter. Then weight the dimensions to reflect what the firm values, with claims heaviest because it matters most to clients and to reputation. A defensible starting weighting:

1. Claims performance: 35 percent.
2. Underwriting responsiveness and hit rate: 25 percent.
3. Servicing and endorsement turnaround: 15 percent.
4. Receivables and statement behaviour: 10 percent.
5. Relationship and flexibility: 10 percent.
6. Quote-to-bind consistency: 5 percent.

The weighted sum gives each insurer a composite score, and the composite is only useful in comparison, so present the panel together: every insurer's score this quarter, ranked, against the panel median and against its own prior quarters. A single insurer's 3.4 means little. A 3.4 against a panel median of 4.1, trending down for two quarters, means the relationship needs a conversation.

Two cautions on the model. First, keep the inputs event-based, not opinion-based: a score built from logged turnaround times and dispute counts survives scrutiny, while a score built from the placement team's feelings reproduces the felt ranking the scorecard was meant to test. Second, weight the score by the volume of business placed, or at least read it alongside volume, because an insurer that holds a tenth of the firm's premium and one that holds a third are not equally consequential even at the same score. The scorecard informs judgement; it does not replace it.

A scorecard that sits in a folder changes nothing. Its value is realised in two places: the insurer relationship meeting and the placement decision.

In the relationship meeting, the scorecard changes the conversation from anecdote to evidence. Instead of the broker asserting that claims are slow and the insurer denying it, the broker presents the insurer's own numbers: your claims turnaround this quarter, your dispute rate, your endorsement TAT, against the panel median and against your own trend. A specific, evidenced conversation gets a specific response, and a good insurer will engage with data it can act on where it would dismiss a complaint it can wave away. Bring the scorecard to the meeting, share the insurer's own line, and agree named improvement actions with a review at the next quarter. The best outcome is not a better score; it is a better-served client because the insurer fixed the thing the data exposed.

In the placement decision, the scorecard is the tie-breaker and sometimes more. Where two insurers quote close on price, the service score decides, and it decides in the client's favour, because the higher-scoring insurer is the one more likely to pay cleanly and service well. Over time the scorecard also drives panel composition: an insurer that scores poorly for several quarters despite the conversations is a candidate for reduced allocation or removal, and an insurer that scores consistently well earns more of the firm's business and the standing to be recommended. This is where service measurement and panel diversification strategy meet: the firm concentrates business toward the insurers that serve its clients well, within the concentration limits that prudence sets, and it does so on evidence rather than on the relationship the head of placement happens to enjoy. A firm that places on scored service quality is a firm placing in its clients' interest, which is the standard the whole broking licence rests on.