Average cycle time is the most commonly cited claims efficiency metric and one of the least informative. A carrier that processes 80% of claims in 3 days and 20% in 45 days has an "average" cycle time of about 11 days. Another carrier that processes all claims in 14 days has the same average. These carriers have entirely different operational profiles and entirely different needs from a claims automation vendor -- but the headline metric is identical.
Cycle time distribution, not average
The metric that matters is cycle time distribution by claim complexity tier. Simple claims (no third-party involvement, below a damage threshold, single coverage line) should close in days. The median cycle time for this tier is a meaningful benchmark. If your median for simple property claims under $5,000 is 8 days, you have an intake and processing bottleneck that automation can address. If it is 2 days, you do not have an intake problem -- you may have a payment authorization problem instead.
Complex claims (bodily injury, multi-party, commercial, litigation) have a fundamentally different cycle time profile and should be analyzed separately. Tracking a blended average obscures where the problems are and makes it impossible to evaluate whether a specific technology investment actually improved anything.
Straight-through processing rate
Straight-through processing (STP) rate measures the percentage of claims that complete end-to-end without a handler touching the file. This metric directly reflects automation effectiveness. For simple property claims under a dollar threshold with no complexity flags, STP rates of 60 to 75% are achievable with good automated intake. Rates below 40% in this file type typically indicate that the intake system is escalating too many files to human review -- either because confidence thresholds are set too conservatively or because the extraction model needs calibration on the carrier's actual document population.
STP rate is the number that Adjustsage tracks most closely as a proxy for operational efficiency. In our early-access program, carriers that started with manual intake and STP rates below 20% saw rates climb to 65 to 71% for eligible simple property claims after 60 days of operation. The files that remained below STP threshold were disproportionately the ones that genuinely needed human review -- they were not the system failing, they were the system correctly identifying complexity.
First-contact resolution rate
First-contact resolution (FCR) measures the percentage of claimant inquiries resolved without a callback or follow-up. This metric is partially a function of adjuster skill and partly a function of how well-prepared the adjuster is before the call. An adjuster who opens the call with a complete intake summary -- loss date, coverage confirmed, reserve set, routing rationale -- can answer the claimant's questions immediately rather than deferring while they look up the file details.
Carriers that track FCR typically find it correlated with intake completeness. Files with incomplete intake data require the adjuster to gather information during the first contact call that should have been captured at FNOL. This extends the call, delays resolution, and produces lower FCR rates. Improving intake data completeness is one of the faster routes to improving FCR without hiring additional staff.
Reserve development rate by loss type
Reserve development rate -- the percentage of files that require a reserve change after initial setting -- is a lagging indicator of intake accuracy. A high development rate on a specific loss type subclass almost always traces back to systematic miscoding at intake. The initial reserve was set on the wrong subclass; as the file develops and the actual loss becomes clear, the reserve has to move.
Tracking development rate by loss type is more informative than tracking it overall. An overall development rate of 18% tells you little. A development rate of 9% on homeowner property claims and 42% on commercial liability claims tells you something specific: your intake process is working reasonably well for personal lines but has a systematic problem on commercial intake, which is where you should invest next.
Intake-to-assignment time
This metric measures the elapsed time between FNOL receipt and adjuster assignment. For carriers with manual intake processes, this is typically 4 to 24 hours on normal days and 24 to 72 hours during weather events or other volume spikes. For carriers with automated intake, it should be minutes for simple files and under an hour for files that require human triage review.
Intake-to-assignment time matters because the claimant experience in the first 24 hours shapes their perception of the entire claims process. Faster assignment enables faster first contact. Faster first contact reduces the probability that a frustrated claimant retains an attorney or escalates to a regulator. For carriers operating in states with prompt-acknowledgment requirements under their fair claims settlement practices regulations, this metric is also a compliance indicator.
Building a measurement baseline before automation
Carriers evaluating automation should establish their current baseline on all five of these metrics before deploying any new tool. Without a pre-deployment baseline, it is impossible to attribute post-deployment changes to the tool rather than to seasonal variation, volume changes, or staff changes. The baseline measurement does not need to be elaborate -- six weeks of data at the claim-level, segmented by complexity tier, is sufficient to establish the starting point and provide a comparison for the post-deployment evaluation.