Measure by stage and by claim type
When it may fit: Only averages are reported.
Evidence needed: Stage timestamps.
Trade-off: Needs data capture.
Insurance Intelligence Brief
How to Evaluate Claims Cycle Time
Cycle time is how long a claim takes from report to payment. Tracked by stage and by claim type, it shows what is slow, what is fast and what to improve.
1. The business problem
How long do our claims take, and which part of the journey is slowest?
An average cycle time hides too much. Simple claims and complex ones differ widely, and a few very long claims can dominate the average. Looking at stages and at the distribution shows where time is really lost.
Cycle time matters for customer experience, for cost and for reserving, and is a common management target.
2. What the evidence can reveal
A cycle-time analysis has several parts:
- Calculated Total time from report to payment, and its distribution: median, 90th percentile, longest.
- Calculated Time by stage: intake, assignment, investigation, evaluation, payment.
- Calculated Cycle time by claim type, complexity and channel.
- Information gap Customer satisfaction and reopen rates, which show whether faster is also better.
Speed should not come at the cost of accuracy, so cycle time should be tracked with leakage and satisfaction.
3. Investigate the problem
Illustrative An invented example of a stage breakdown: a claim takes 28 days from report to payment, with 2 days in intake, 3 in assignment, 12 in investigation, 6 in evaluation and 5 in payment. A three-day cut in investigation would reduce the total by about 11% (3 divided by 28), more than any other single step.
In the synthetic insurer, Calculated claims adjustment expense was $5.90M, or about $1,340 per claim, and it grew in line with claim counts. The cost of handling has not changed, so any improvement in cycle time would have to come from process, not from cheaper work. Severity rose 6.8%, so the cost of long cycles may matter more now, as each day a claim stays open adds exposure to price changes and disputes.
Hypothesis Speed and cost interact: faster handling can reduce severity for repair and rental claims, where each day adds cost. Information gap The demo has no cycle-time data, so it cannot say how long claims take. A first report should show the median and the 90th percentile by claim type, and the share of claims past a target age.
4. Explore the interactive experience
Investigate it yourself.
Insurance Portfolio Explorer: a portfolio dashboard with loss, expense and combined ratios, a scenario simulator for rate, volume, frequency and severity, evidence-linked answers from APIS, and a sample brief, all on synthetic data.
The experience below is built on a synthetic insurer, “Demo Mutual Insurance.” It uses no policyholder or claims-handling data of any kind, and it has no cycle-time or workflow records, so it is used to show the financial side of claims. Every figure is illustrative.
- Click the Average claim severity card. What has happened to the cost of each claim?
- In the cost table, select Claims adjustment. How has the cost of handling moved?
- Ask APIS what additional information would help validate these conclusions.
5. Evaluate possible solutions
Improving cycle time starts with measuring stages.
6. What leadership should do next
Questions to answer
- What are median and 90th-percentile cycle times?
- Which stage is slowest?
- Which claim types are slow?
- Is faster also accurate?
Data to gather
- Stage timestamps
- Claim type and complexity
- Leakage and reopen data
- Satisfaction scores
Steps to take
- Report by stage.
- Pick the longest avoidable wait.
- Redesign it.
- Re-measure.
7. Engage Two Pillars
Investigate Performance Across Your Insurance Business
Two Pillars can help carriers, agencies and brokerages investigate portfolio, claims operations, agency economics and process improvement using your own data. This demo uses no policyholder data. A good first step is a cycle-time analysis by stage and claim type, with quality measures alongside.
Sources and data notes
- The organization, its figures, and every number in this article and its interactive experience are synthetic and illustrative. They are not real data, a benchmark, or a forecast.
- Reviewed October 2026. This article describes an approach to investigation. It does not replace review by qualified professionals.