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Report Research 10 stron

How Customer Effort Changes Resolution Rates

What U.S. auto recall data reveals about whether a fix actually reaches the customer.

Opublikowano
US Auto CX 2026
Autorzy
Intellimark Research
Industry
Automotive
How Customer Effort Changes Resolution Rates cover

W tym raporcie

  1. 1

    Recalls repaired by a software update sent to the car reach 95.1% completion. Recalls that need the owner to book and attend a service visit reach 56.8%.

  2. 2

    It is not one unusual company. Remove Tesla entirely and over-the-air repairs still reach 88.9%. Inside Tesla alone the gap between its own two paths is 29.7 points.

  3. 3

    The path that works covers 4.7% of recalled vehicles. Of the 345.4M vehicles on the path that needs the owner to act, 149.4M never got the repair.

  4. 4

    Every mechanism that could inflate the gap is listed and quantified where public data allows. Vehicle age is the largest: 80% completion under three years old against 56% at six to ten.

Most CX programs measure whether a problem was identified or a case was closed. Far fewer measure whether the resolution actually reached the customer.

We analyzed U.S. automotive recall data because it provides something most industries do not: a publicly reported outcome showing whether the customer actually received the fix.

The difference is substantial. Recalls that could be resolved through an over-the-air software update reached 95.1% completion after four quarters, compared with 56.8% for recalls requiring the owner to take the vehicle in for service. Even within Tesla, where the manufacturer is held constant, completion was 98.4% versus 68.7%.

The analysis does not claim that customer effort alone caused the entire gap. Vehicle age, reachability, parts availability, fault type and other factors matter.

But the broader CX finding is difficult to ignore: a resolution is only valuable if it actually reaches the customer. Organizations should therefore measure not only cases closed, but resolution completion by delivery route and the number of actions required from the customer.

The one industry required to publish whether its fixes land

A carmaker finds a fault. By law it must repair every affected vehicle free of charge, and it must report to the regulator how many owners actually got the repair. Almost no other industry is required to publish whether its fixes reached anyone at all.

Share of recalled vehicles eventually repaired, by year the recall was issued
77–87% band 50%60%70%80%90%100% 79%78%77%83%82%87%87%85%83%80% 2015201620172018201920202021202220232024

Across roughly 4,000 campaigns, measured over the full life of a campaign. The series stops at 2024 on purpose: repair rates keep climbing for years after a recall is issued, so 2025 campaigns have not settled yet and plotting them would show how recent they are rather than how well they were repaired.

This is the industry’s settled baseline, not a recent deterioration and not a story about one bad year. The rate has sat between 77% and 87% for a decade, the years before 2015 look the same, and none of it is contested. Across ten to fifteen years of changing vehicles, dealer networks and notification methods, the share of owners who eventually get a free, legally mandated repair has barely moved. That stability is what makes the number usable: anything that shifts it is a real effect, not noise. NHTSA’s own published average across all recalls is 64%, rising to 83% for new vehicles. Our own figure is lower at 58.6%, because we cut every campaign at four quarters so that recent recalls are not compared against mature ones. Carfax counts 58.1 million US vehicles carrying an open recall today, roughly one in five on the road.

So we took every US light-vehicle recall old enough to measure and split it by a dimension NHTSA does not report: how much the owner had to do to get the repair.

The cost of asking the customer to show up

Every recall has one of two remedies. Some are software faults, fixed by an update sent to the car overnight, which asks the owner for nothing. The rest need the vehicle physically brought in.

Completion at four quarters, all manufacturers
Nothing asked of the owner 95.1%

Software sent to the car · 59 campaigns · 17.1M vehicles

Owner must act 56.8%

Book and attend a service visit · 3,156 campaigns · 345.4M vehicles

Take Tesla out and it is still 89% against 57%

Tesla accounts for 65% of over-the-air volume, so the obvious objection is that the whole result is one unusual company. Take Tesla out completely and the remaining over-the-air repairs still reach 88.9%, against 56.8% for repairs that need a service visit.

Over-the-air completion at four quarters, Tesla separated
Those ten combined88.9%

38 campaigns · 6.0M vehicles repaired over the air

Tesla alone98.4%

21 campaigns · 11.1M vehicles repaired over the air

Every physical repair56.8%

3,156 campaigns · 345.4M vehicles needing a service visit

These are the ten manufacturers that make up the non-Tesla remainder.

ManufacturerCampaignsVehicles coveredShare
Mercedes-Benz USA71,949,20632.5%
General Motors101,938,02132.3%
Stellantis (FCA US)21,353,04322.6%
Volvo Car USA3458,0177.6%
Ford Motor Company7135,7122.3%
Nissan North America375,1011.3%
Hyundai Motor America358,1261.0%
Kia America114,1630.2%
Rivian Automotive17,8730.1%
American Honda14,1740.1%
Ten manufacturers385,993,436100%

We publish no completion rate for each manufacturer individually because most hold only one to three qualifying campaigns, which is too few to rate. What survives every objection we could put to it is that the gap holds with the manufacturer held constant: inside Tesla alone it is 29.7 points, and across these ten it is 32.2.

The path that works covers one vehicle in twenty

Repairs that ask nothing of the owner reach 95.1%. They are also almost never the option available. Nearly every recalled vehicle is on the path that needs the owner to act, and that is where the repairs stop landing.

362.5M vehicles covered by a recall

Column width is share of vehicles. Fill height is the share of those vehicles repaired.

17.1M · 95.1% repaired

149.4Mnever repaired · 43.2%

196.0Mrepaired · 56.8%

345.4M vehicles – owner had to act

95.3% of everything recalled

The narrow column is every recall repaired by a software update sent to the car: 4.7% of the volume, almost all of it fixed. The wide column is every recall that needed a service visit. Vehicle counts are campaign-vehicle pairs: one car covered by three campaigns counts three times. Source: NHTSA quarterly recall completion reports and NHTSA recall API.

This is the shape of most customer experience problems. The mechanism that works is known, proven, measured, and deployed on a rounding error of the actual volume. The constraint is not evidence. It is that the remaining 95% of repairs still require the owner to do the work, and most manufacturers depend on an independent business to persuade them to do it.

A fix that never arrives is indistinguishable from a fix you never made.

A different question: whose complaints pile into one component?

Effort tells us whether the fix lands. Complaint mix tells us where to look next. The vertical axis is how far a brand’s worst component sits above the rate for all 25 brands. The horizontal axis is whether complaints are rising or falling against that brand’s own prior year.

Quadrant chart plotting 25 car brands by how concentrated their worst component is against the industry, and whether those complaints are rising or falling. Ram, Kia, Jeep, Mazda, Hyundai, Lincoln, Volvo and Tesla sit in the top-right quadrant of strongly concentrated and rising complaints.
Every brand has a worst component; the question is how far above the industry it sits. Eight brands sit in the top right quadrant. Five of them are also rising more than 20%: Kia, Jeep, Mazda, Hyundai and Lincoln. Source: NHTSA ODI complaint database, twelve months to 31 July 2026, deduplicated. Complaint counts are not normalised by fleet size, so this shows where a brand's own complaints concentrate, not how a brand compares on defect rate. Rivian omitted: no component cleared the 30-complaint floor.

How we worked this out, and where it could be wrong

Every figure in this report is computed from public sources. Nothing here is licensed, modelled or estimated.

From reported campaigns to the measured set
8,368 reported for four full quarters
3,215

59

Reported for four full quarters
8,368 – 100% of the start.
Light vehicles in scope
3,215 – 38% of the start. 5,153 removed as not light vehicles, or built by an upfitter or converter.
Repairable over the air
59 – 1% of the start. 3,156 removed as needing the vehicle physically brought in.

Completion comes from NHTSA quarterly recall completion reports, measured at a fixed campaign age of four quarters so recent campaigns are not compared against mature ones, and weighted by vehicles covered rather than by campaign count. Campaigns issued October 2013 to June 2025, reported through 2026 Q2. Remedy path comes from the NHTSA recall API over-the-air field, retrieved for every in-scope campaign, with complete coverage and no missing values. Components use NHTSA COMPDESC as assigned, with sibling categories merged on the root before the first comma or colon; hydraulic brakes fold into service brakes and the unspecified catch-all is excluded. Scope is light vehicles only, with upfitters, van converters and wheelchair-accessible vehicle modifiers excluded and manufacturer names normalised before aggregation.

Eight reasons this could be overstated

Every one of these pushes in the direction of making the gap look bigger than it is. They are listed so a reader can discount the result themselves.

Vehicle age

01

80% vs 56%

completion for cars under three years old against cars six to ten years old

Cars able to update themselves are newer, and newer cars complete more often whatever the path. Some of this gap is age, not effort.

Reachability

02

Not measured

no public data on address quality by vehicle age

A connected car has a live account and a current address. A fifteen-year-old car on its third owner may have neither, and the manufacturer simply knowing where the customer is will carry some of the result.

Parts delay

03

Not measured

interim notices are not flagged in the public file

Physical recalls are sometimes announced before the parts exist, which suppresses completion at four quarters for reasons that have nothing to do with the customer. Software remedies have no parts constraint.

Fault type

04

By definition

the two paths cannot carry the same repair

Software-remediable defects are a different class of fault from a part replacement. This compares two paths carrying different repairs, not two routes to an identical one.

No denominator

05

0 of 25

brands have a public US fleet-size figure

The brand complaint chart therefore has no exposure denominator. Read it as where a brand's own complaints concentrate, never as a defect rate.

Small sample

06

38 campaigns

and three makers hold 87% of the vehicles in them

Mercedes-Benz, General Motors and Stellantis dominate the group, so removing Tesla does not leave ten evenly weighted manufacturers behind it.

Not random

07

11 makers

issued a software remedy at all in this period

They are the firms that had connected fleets to attempt one, which means newer fleets, which is the same bias as vehicle age above.

How we count

08

0.59

rank correlation between a four and eight quarter window

Manufacturer rankings are not stable, so none is published. Vehicle counts are also campaign-vehicle pairs: one car in three campaigns counts three times.

Three questions to ask about your own business

A regulator counts this for carmakers. For everyone else it has to be measured deliberately. These are the questions this analysis is the automotive version of.

  1. 01

    What share of your resolutions actually reach the customer?

    Not cases closed. Not responses sent. The share where the customer received the outcome and it took effect. Almost every CX programme measures whether a problem was found; very few measure whether the fix landed. Automotive has a legal mandate, a funded repair and a tracked outcome, and still reaches 56.8% when the customer has to act.

  2. 02

    How does that rate differ by delivery route?

    Tesla's own recalls run 98.4% when nothing is asked of the owner and 68.7% when a service visit is. Same manufacturer, same four-quarter measurement window. Because the company is held constant, that is the comparison worth running inside your own operation, on your own delivery routes.

  3. 03

    How many actions does the customer have to take?

    Count them. Four required actions versus none coincided with a gap of nearly forty points. Step count is one variable you can control.

Sources. NHTSA recall completion reporting and Reports to Congress; NHTSA recall API; NHTSA ODI complaint database; GAO-24-106356; Carfax open-recall figures, January 2025.

Metodologia

Metoda
NHTSA quarterly recall completion reports and the NHTSA recall API over-the-air field, measured at a fixed campaign age of four quarters and weighted by vehicles covered, not by campaign count. Nothing licensed, modelled or estimated.
Próba
3,215 in-scope light-vehicle campaigns from 8,368 reported, covering 362.5M campaign-vehicle pairs. Complaint mix uses the NHTSA ODI database, deduplicated.
Realizacja
Campaigns issued October 2013 to June 2025, reported through 2026 Q2. Complaints: twelve months to 31 July 2026. Retrieved August 2026.
Zasięg
United States

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