Somewhere in your warranty inbox right now is a customer telling you exactly how your product failed. Which part gave way, how long it lasted, what they were doing at the time, and usually a photo of the break.
They are not being difficult. They are filing the most detailed quality report your company will receive this month, and they are doing it for free, unprompted, because they want their thing fixed.
Then it gets answered, marked resolved, and that is the end of it.
One claim is an anecdote. You already treat it as one, correctly, because a single failure tells you almost nothing.
Six claims on the same SKU inside a month is not an anecdote. Four claims that all name the same seam, or the same hinge, or the same connector, is not an anecdote either. Neither is a cluster of failures on units that all shipped in the same eight-week window.
The problem is that none of those look like anything from inside a support inbox. Each claim arrives alone, gets handled alone, and leaves. The pattern only exists in the aggregate, and a shared inbox has no aggregate. It has a search box and somebody's memory of “didn't we see this before?”
So the failure mode is not that brands ignore quality data. It is that the data never assembles into a shape anyone could look at.
The clearest evidence comes from an industry that has been measuring this for decades.
McKinsey put automotive warranty costs at roughly $58 billion globally in 2024, about 2.2% of industry sales, with some manufacturers exceeding 4% of revenue. Their framing is the part worth borrowing: at the top end, warranty cost rivals annual R&D spend. A company can spend as much fixing what shipped as it does designing what ships next.
You do not have to be an automaker for the mechanism to apply. Apple's warranty accrual reached 3.9% of revenue in 2024, per Mordor's analysis. That is a consumer brand with excellent manufacturing discipline, reserving nearly four cents of every dollar against things going wrong.
The scale of those numbers is not the point. The point is that warranty cost is a real percentage of revenue at companies that are extremely good at this, which means it is a real percentage of yours, and yours is not being measured.
Here is the figure to sit with, and it is formally benchmarked rather than estimated.
Warranty cost as a percentage of revenue runs about 0.8% at the top quartile and 4.0% at the bottom. A five-fold spread between the companies that manage this well and the ones that do not.
Five times is too wide to be product luck. Companies in the bottom quartile are not uniformly making worse things than companies in the top. What separates them is whether anybody is looking at warranty in aggregate, catching the pattern in month two instead of month nine, and feeding it back into the product before the next purchase order goes out.
A brand with no warranty system is, by definition, not in the top quartile. Not because the product is bad. Because nobody is in a position to know either way.
The mechanism is unglamorous, and that is the good news, because it means it is available to a ten-person brand rather than only to a company with a quality department.
Two things have to be true.
First, every claim has to record what actually failed, in structured form. Not a free-text note. A defect category, an affected area, a usage context, chosen from a list you defined, so that the hundredth claim is comparable to the first. Free text is where quality data goes to die: everyone describes the same failure four different ways, and no amount of searching later reassembles it.
Second, somebody or something has to look across claims rather than at them. Clusters by SKU. Rate spikes against baseline. Seasonal patterns. Batch issues, where the failures trace back to a production window rather than to a design.
Those two conditions are the whole of it. Structured intake and aggregate review. Neither requires a quality engineer, and both are impossible in an inbox.
The second-order version of this is where it gets genuinely useful. When the pattern surfaces and you know which units are affected, your registration records tell you exactly who is holding them. Defect intelligence and recall reach turn out to be the same dataset, read twice. The brands that can do that get to contact affected owners before the complaints arrive, which is a completely different customer experience from being on the receiving end of them.
You are not going to build a reliability engineering function. You do not need one.
What you need is the ability to answer three questions on a Tuesday afternoon. Which SKU generates the most claims per unit sold, not in absolute count, because your bestseller will always lead on absolute count. What the most common failure is on that SKU. And whether the rate is moving.
If those three answers take you a week to assemble, you will never ask the questions, and the pattern will keep arriving one claim at a time until it becomes a return rate somebody notices in a spreadsheet. If they take thirty seconds, you will check them monthly, and you will catch the seam failure before the next four thousand units ship.
That is the entire difference. Not sophistication. Latency.
Somebody bought your product, used it until it broke, worked out what broke, took a photo, and sent it to you with an explanation.
You could not run a field-failure study that good at any price. The sample selects itself, the reporting is voluntary, and the data arrives with evidence attached.
The only question is whether anything on your side is set up to receive it as data rather than as a ticket. Most brands are not, which is not a failure of intent. It is just that warranty got filed under support a long time ago, and support tooling is built to close things rather than to count them.
warrantini records the assessment on every claim and surfaces the patterns across them, on taxonomies you define, from $49 a month. But the reframe is free, and it is the part that matters: the claims queue is not a cost center with a to-do list. It is the only unfiltered account you will ever get of how your product behaves in the world.