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How to Reduce No-Fault Warranty Claims: When the Product Isn't Actually Broken

Maris Purgailis
7 min readGuides

Last updated: November 5, 2026

A lot of products sent back under warranty have nothing wrong with them. The coffee machine needed descaling. The air purifier's orange light meant "replace the filter". The e-bike display was in the wrong mode. The owner couldn't find the answer, so they did the one thing that was easy: they filed a claim.

Industry research has pointed at this for years. Accenture's study of consumer electronics returns, Big Trouble with No Trouble Found, found that most returned products had no fault at all, and the pattern shows up in every category with setup, settings or maintenance. These claims cost as much as real ones and teach you nothing about quality. They also hide the claims that do matter.

This guide covers why no-fault claims happen, what they cost and seven ways to stop them before they start.


Why Working Products Come Back Under Warranty

Almost every no-fault claim comes from one of five causes:

  1. Setup. A step missed during the first hour: the app not paired, the water filter still in its bag, the battery not fully charged before the first ride.
  2. Settings and modes. The product is doing exactly what it was set to do, just not what the owner expected.
  3. Signals the owner can't read. A blinking light, a beep pattern or an error code that means "clean me", not "I'm broken".
  4. Maintenance. Descaling, filters, lubrication, firmware. Skipped maintenance looks like a fault.
  5. Expectations. The product does what it says, but not what the owner assumed it would.

The common thread is the manual. The answer was in it, on page 37 of a 50-page PDF, in a language the owner doesn't read well, in a drawer, or in the box that went to recycling. Nobody reads a manual cover to cover. People ask a question, and if nothing answers it quickly, the claim form or the retailer's returns desk is the easiest next step.


What No-Fault Claims Cost

Each one costs as much as a real claim, and some of it never shows up as a warranty cost:

  • Support time to read the claim, ask for photos and decide.
  • Shipping both ways, inspection and, often, a replacement to keep the customer happy.
  • Refurbishing or writing off the returned unit.
  • A worse review, because the owner's experience was "it broke" even though it didn't.
  • Noise in your quality data. When half your "faults" are confusion, the real defect in lot L2608 takes longer to spot.

7 Ways to Reduce No-Fault Warranty Claims

1. Put help where the problem happens

The owner has the product in their hands. That's where help should start, not on your homepage. A QR code on the quick-start card or manual opens a page for that exact product: setup guides, care steps, the manual and support. No searching, no website menus, no account.

2. Answer in plain language, from your own manuals

Owners don't think in chapter titles. They ask "why is it beeping?" or "can I put the lid in the dishwasher?". An AI assistant that answers from your manuals and articles gives them the specific answer in their own words and language, based on your content rather than the open web. A 50-page manual becomes something people actually use.

3. Troubleshoot before the claim form, not instead of it

Show the most common fixes for the problem the owner picked, right before the claim form: "Blinking orange? Replace the filter in four steps." Keep the claim one tap away. Help that blocks the way to a real claim just makes people angry; help that comes first solves the easy cases and lets real claims through.

4. Ask the right questions in the claim form

Ask questions per problem type. "Not heating" can ask whether the machine was descaled in the last three months. "Damaged" can require a photo. Problem-specific questions catch user error early, and when the claim is real, it arrives complete instead of starting a week of emails.

5. Follow up while owners are still learning the product

Most no-fault claims happen early. A short email series after registration covers the three things owners get wrong in the first weeks, with links to the guides. Later, maintenance reminders ("time to descale") prevent the faults that come from skipped care.

6. Track which fixes actually work

Record, on every claim, which articles the owner read and whether they asked the assistant first. If owners who read "Pairing the app" still file claims about pairing, the guide is the problem. If a fault keeps coming from owners who never saw the guide, put the guide somewhere they'll see it.

7. Separate real defects from confusion in your data

Watch claims by production lot, part and reason. Three claims from the same lot about the same part is a quality signal. Thirty claims about the same setting across every lot is a documentation signal. They need different fixes, from different teams.


Check Eligibility With Rules; Use AI for the Conversation

There's a lot of noise about AI "deciding" warranty claims. Split the job in two.

Eligibility should be checked by clear rules against the warranty record: is the product registered, is it in warranty on the filing date, is there proof of purchase, does the serial number match? Those are facts, and you want the same answer every time.

AI is good at the language around the claim: answering the owner's question before they claim, opening a claim from the conversation with a draft already filled in, spotting urgent or angry messages and drafting replies for your team.

Fraud signals should be prompts, not verdicts. A serial number claimed by another owner or a product registered the day before the claim deserves a closer look. It shouldn't automatically turn away a customer who may be honest.


How Veribl Handles It

Veribl puts all seven steps behind one QR code on the product:

  • One scan, everything there. The QR code opens the product's own page with guides, the help center, registration and claims. No app, no account, no website to search.
  • Answers from your manuals. The AI assistant answers from your manuals and articles, in the language the owner writes in. When it can't fix the problem, it opens your claim form inside the chat, filled in from the conversation.
  • Help before the claim. Troubleshooting articles and the assistant can appear before the claim form, and each claim records which articles the owner read and whether they used the assistant.
  • Claims that arrive complete. You set reasons, required photos or video per reason, and your own questions per product.
  • Pre-checked claims. Each claim shows its warranty status, registration and proof, with flags such as a serial number claimed by another owner, a purchase date before the unit was made, or several claims from the same lot. Rules can assign, ask for information or approve routine claims.
  • Follow-up flows. "Learn your product", "Maintenance schedule" and "Check in after a fix" templates email owners at the right moments.

It starts on a free plan. See warranty management for small businesses for how a small team runs it, or warranty claims for the claims workspace in detail.


What to Measure

Track these monthly, per product:

  • Claims per 1,000 registered units. The headline number. It should fall as guides improve.
  • Share of claimants who saw help first. If it's low, your help isn't where owners look.
  • Claims closed with no fault found. Tag them, and count them by reason.
  • Top reasons by product. Rewrite the guide behind the top one each month.
  • Claims per lot. Your early warning for real defects.

The goal isn't to make claims harder to file. It's to make the answer easier to find than the claim form.

Related: warranty fraud: types and prevention, warranty tracking for product brands and best warranty management software in 2026. See how this works in practice with warranty management.

Answer the question before it becomes a claim

One QR code for guides, AI answers from your manuals, registration and claims that arrive pre-checked. Free to start.

Frequently asked questions

What is a no-fault warranty claim?

A no-fault warranty claim, also called 'no fault found' or 'no trouble found', is a claim for a product that turns out to work as designed. The owner thought it was broken because of a setup problem, a setting, a misread indicator or a missed maintenance step. The brand still pays for the support time, shipping, inspection and often a replacement.

How do you reduce no-fault warranty claims?

Help the owner where the problem happens, before the claim form. Put a QR code on the quick-start card that opens help for that exact product, answer questions in plain language from your manuals, show troubleshooting before the claim form, ask problem-specific questions and photos in the form, follow up during the first weeks of use, and track which fixes work so you can improve the guides.

Can AI reduce warranty claims?

Yes, for claims that come from confusion rather than defects. An AI assistant that answers from your own manuals lets an owner ask 'why is the light blinking orange?' in their own words and get the fix, instead of searching a 50-page PDF. When the problem is real, a good assistant opens the claim form with the conversation attached, so the real claims arrive faster and more complete.

Should a warranty claim be checked by AI or by rules?

Both, for different jobs. Eligibility (is it registered, in warranty, with proof of purchase) should be checked by clear rules against the warranty record. AI is good at the language around it: answering the owner, drafting replies, and spotting urgent or angry messages. Fraud signals should be prompts for a person, not automatic denials.

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