Evidence · Car insurance

Every question, every answer, every source

Explore all 183 car-insurance questions and the 728 answers saved on 11 October 2026. Read the original responses and download the tables behind the study’s comparisons, sources, sentiment and factual checks.

questions
183
answers saved, of 732 planned
728
consumer situations
12
named regions
16
AI platforms
4

01

Every question, with its answers

Each question went to the four AI platforms. All were collected with a New Zealand setting. Open a question to read every captured answer in full.

Showing 20 of 183 questions

02

The tables behind the study

Every figure on the study page comes from these tables. They are CSV files, which open in any spreadsheet.

  • Questions

    questions.csv

    One row per question, with its exact saved wording.

    Question ID, source references, question, consumer situation, named regions, question group and collection setting

  • Answers

    answers.csv

    One row per captured answer, with its full text.

    Answer ID, question ID, platform, collection setting, consumer situation, named regions and full answer

  • Sources by answer

    sources.csv

    One row per website recorded as a source of an answer.

    Answer ID, question ID, assistant, collection setting, website and publisher type

  • Checks against primary sources

    checks.csv

    One row per stated assertion checked, for one platform.

    Check, question and answer IDs, assistant, exact passage, verdict, primary-source finding, URL and date

  • Consumer recommendation coding

    consumer-recommendation-coding.csv

    One row per reviewed provider role in a consumer-selection answer.

    Answer ID, question ID, consumer, platform, provider, role, counted recommendation, exact passage and conditions

  • Consumer selection membership

    consumer-selection-membership.csv

    One row per answer in the matched consumer-selection comparison.

    Answer ID, question ID, consumer, platform, question group and full text; the same twelve questions per platform

  • Ongoing support coding

    support-coding.csv

    One row per reviewed named-provider role in an eligible support answer.

    Answer ID, question ID, consumer, platform, provider, role, support-preference decision and exact passage

  • Ongoing support membership

    support-membership.csv

    One row per answer in the actual consumer-support group.

    Answer ID, question ID, consumer, platform, question group and full text; acquisition validation is excluded

  • Regional recommendation coding

    regional-recommendation-coding.csv

    One row per reviewed provider role in a region-named selection answer.

    Answer ID, question ID, named consumer region, platform, provider, recommendation decision and exact passage

  • Regional selection membership

    regional-selection-membership.csv

    One row per answer in the matched regional comparison.

    Answer ID, question ID, named consumer region, platform and equal-comparison membership; sixteen questions per platform

  • Insurer sentiment

    insurer-sentiment.csv

    One row per unique saved claim about an insurer in a selection answer.

    Claim, question and answer IDs, insurer, saved stance, exact passage and original-answer offsets

  • Recorded source URLs

    source-urls.csv

    One row per recorded answer, website and URL association.

    Answer ID, question ID, platform, website, URL, source records and presence in the captured answer text

Use these tables to trace findings back to the original questions and answers. The full text of each answer is also on this page, under its question.

ChatGPT · New Zealand

What do complaints and dispute decisions tell me about motor insurers, and what don't they tell me?

What complaints and dispute decisions tell you about motor insurers in New Zealand

Complaints and dispute decisions can be very useful when comparing motor insurers. They can reveal how insurers handle claims when things go wrong, how they interpret policy wording, whether they explain decisions clearly, and how they respond when customers challenge them.

But they are evidence of particular problems and how they were resolved, not a complete measure of an insurer's quality or trustworthiness.

The key is to distinguish what the evidence actually shows from what you might reasonably infer from it.

1. What complaints and decisions can tell you

How claims are handled

Decisions can reveal whether an insurer assessed vehicle damage appropriately, obtained relevant evidence, explained a settlement, or delayed resolving a claim. They can also show how it responded when the customer disputed the outcome.

How policy exclusions are applied

Disputes may expose differences over excesses, agreed or market value, pre-existing damage, mechanical failures, driver restrictions, theft, or whether a vehicle is a total loss. They help show how particular policy terms work in real situations.

Communication and customer service

A decision may describe confusing explanations, poor communication, missed expectations or an insurer's willingness to reconsider its position. These details can help you identify recurring service problems.

Whether the insurer puts things right

Outcomes can show whether an insurer corrected an error, paid an amount owed, reconsidered a decision, or offered compensation. The reasoning behind the outcome is often more informative than the result alone.

A particularly useful signal is a decision that identifies a clear error, explains why it happened, and shows whether the insurer corrected it. Several similar decisions may point to a process or policy interpretation worth investigating.

2. What New Zealand complaints data actually shows

The Insurance Council of New Zealand (ICNZ) publishes complaints information under its Fair Insurance Code. This is useful because it provides figures across insurers, rather than relying solely on individual stories.

For context, ICNZ's 2025 Annual Review reports the following figures across its reporting of insurance claims and external dispute resolution. Fair Insurance Code

Claims received in 2025

1.31 million

Complaints referred externally

603

Externally settled

41

Partially upheld against insurer

22

Source: ICNZ Annual Review 2025. The figures cover the reported insurance sector, not motor insurance alone. They are not a league table of motor insurers.

These figures show that external dispute resolution deals with a small fraction of claims. They do not establish that the remaining claims were all handled perfectly, nor do they establish that the insurers with more complaints are worse.

The 2024 reporting also illustrates an important comparison problem: insurers differ substantially in their claim volumes, and the number of complaints closed in a year is not necessarily the number of claims made in that same year that generated complaints. ICNZ explicitly cautions readers to account for differences in insurer size and complaint volumes. How to Make an Insurance Complaint (NZ)

3. What complaints and decisions don't tell you

They don't measure every unhappy customer

Many customers never complain. Others accept an insurer's explanation, give up, settle privately or resolve an issue through the insurer's internal process. A low number of external disputes may reflect effective service, but it may also reflect how many customers escalate their complaints.

They don't prove an insurer is good or bad overall

A decision against an insurer can expose a genuine mistake without proving that its overall claims handling is poor. Conversely, a decision in an insurer's favour does not prove its customer service was excellent; it may simply mean the policy did not cover the loss.

They don't necessarily isolate motor insurance

Published insurer complaint figures may combine motor, home, contents, travel and other personal insurance. An insurer's overall results therefore may not tell you how it handles car claims specifically. How to Make an Insurance Complaint (NZ)

They don't establish the likelihood of a problem without a suitable denominator

Fifty complaints from an insurer with a very large claims portfolio might be less concerning than twenty complaints from one with a much smaller portfolio. Even complaints per claim can be misleading if insurers differ in product mix, claim complexity or reporting practices.

They don't guarantee future performance

Decisions describe past cases. An insurer may have improved its processes since a decision, or the same problem may still be recurring. You need dates, patterns and evidence of corrective action to distinguish the two.

There is another important limitation: a dispute decision is not always a finding of misconduct. Some disagreements arise because policy wording is genuinely restrictive, evidence is incomplete, or the parties interpret the facts differently. Read the reasons for the decision, not just which side prevailed.

4. How to compare motor insurers fairly

When researching insurers in New Zealand, I'd use complaints and decisions as one part of a broader assessment.

Evidence to examine What to look for
Complaint rates Complaints relative to claims or policyholders, using consistent definitions and periods
Customer-upheld decisions Whether the insurer made errors, and how serious or repeated they were
Reasons for decisions Whether disputes concern policy wording, evidence, poor communication or avoidable mistakes
Recurring themes Similar problems across multiple cases, especially over several years
Resolution and remediation Whether errors were corrected and the insurer addressed the underlying cause
Motor-specific cases Disputes involving repairs, write-offs, valuations, excesses, replacement vehicles and claim delays
Policy terms Whether the cover you need is actually included, including exclusions and settlement provisions

A practical example

Suppose Insurer A has 40 external disputes and Insurer B has 15.

You cannot conclude that B is better just from those numbers. You would want to know:

  • How many motor claims each insurer handled.
  • How many disputes were upheld against each insurer.
  • Whether the disputes concerned motor insurance or other products.
  • Whether the cases involved isolated errors or repeated problems.
  • Whether the insurers have since changed their practices.

If A handled far more claims, its larger complaint count might be unsurprising. If A also had repeated findings of avoidable errors in motor claim assessments, that would be a more meaningful warning sign.

5. Where to find reliable New Zealand evidence

These are good starting points:

New Zealand financial service providers must belong to an approved dispute resolution scheme, although each scheme has rules about which disputes it can consider. Disputes and consumer protectionHow to Make an Insurance Complaint (NZ)

Bottom line

Complaints and dispute decisions are most valuable for identifying how an insurer behaves when a claim becomes difficult or contested. They are less useful as a standalone ranking of which insurer is best.

For a sound comparison, combine them with motor-specific policy wording, claim-handling practices, repair and replacement arrangements, premiums and excesses.

The strongest warning sign isn't necessarily a high raw complaint count. It's a consistent pattern of similar, avoidable problems that materially affect customers, especially when the evidence suggests the insurer has not corrected them.

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Captured 11 October 2026

Gemini · New Zealand

What do complaints and dispute decisions tell me about motor insurers, and what don't they tell me?

In New Zealand, analyzing insurance complaints and dispute decisions (such as those handled through an insurer’s internal dispute resolution process or external bodies like the Insurance and Financial Services Ombudsman (IFSO) Scheme) offers valuable transparency into how motor insurers operate, but they also have distinct limitations.


What Complaints and Dispute Decisions Tell You

  • Common Pitfalls and Policy Exclusions: Published case studies and dispute data highlight the exact clauses that trip policyholders up—such as driving outside of licence conditions (e.g., restricted or learner violations), vehicle unroadworthiness (like bald tyres despite a current Warrant of Fitness), or failure to disclose modifications or commercial use.
  • Insurer Culture and Fairness: They reveal how insurers handle friction. Reviewing decisions shows whether an insurer interprets policy wording strictly by the book or takes a fair-and-reasonable approach under the Fair Insurance Code.
  • The Reality of Claims Payouts: Dispute resolutions often deal with market value settlements versus what the owner expected. They show how disputes over vehicle valuation, total write-offs, and cash settlements are typically resolved.
  • Process Transparency: They demonstrate how responsive an insurer is during internal dispute resolution (IDR) and whether they cooperate fully with external dispute resolution schemes.

What They Don't Tell You

  • Overall Customer Satisfaction: Complaints represent a tiny, fractional minority of total policyholders. A high volume of public disputes doesn't automatically mean an insurer is "bad"—often, larger insurers with massive market shares simply have a higher volume of claims and, consequently, more disputes.
  • The Full Context of Settled Claims: Many disputes are resolved confidentially behind closed doors during early negotiation or internal mediation. Public decisions only show the tip of the iceberg—cases that reached a formal deadlock.
  • Ease of Onboarding and Purchasing: Dispute records focus strictly on claims time and policy cancellations. They do not reflect how easy a provider's website is to use, how competitive their premiums are, or how seamless the initial sign-up process is.
  • The Customer’s Behavior Pre-Claim: Formal decisions naturally lean heavily on contract law and technical evidence. They rarely capture the full emotional or communicative dynamic between the customer and the claims officer leading up to the dispute.

Summary: While dispute data is a powerful tool for understanding where claims go wrong and how strictly policies are enforced, it shouldn't be used as a standalone scorecard for choosing an insurer.

Are you currently trying to decide on a motor insurer, or looking into how to navigate a specific vehicle claim dispute in New Zealand?

Ask Gemini

Gemini is AI and can make mistakes.

Captured 11 October 2026

AI Overviews · New Zealand

What do complaints and dispute decisions tell me about motor insurers, and what don't they tell me?

AI Overview

In New Zealand, tracking complaints and formal dispute decisions—primarily through External Dispute Resolution (EDR) schemes like the Insurance & Financial Services Ombudsman (IFSO) Scheme and Financial Services Complaints Ltd (FSCL)—provides a useful window into how motor insurers handle conflict. However, these metrics have significant limitations and do not provide a complete picture of an insurer's overall service quality.

Analyzing these records reveals critical insights into systemic industry friction, alongside notable information gaps.


What Complaints and Dispute Decisions Tell You

  • Common Points of Friction: EDR data highlights exactly where customers and motor insurers clash. In New Zealand, the most prevalent car insurance disputes stem from "market value" settlements for totaled vehicles , disagreements over gradual wear-and-tear versus sudden accidental mechanical damage , and sharp, unnoted reductions in "agreed value" upon annual policy renewals.

  • Systemic Consumer Misunderstandings: Dispute trends reveal what Kiwi policyholders consistently misunderstand about their coverage. For example, a high volume of un-upheld complaints underscores that many drivers fail to realize their policies exclude pre-existing issues or mechanical breakdowns caused by incorrect fueling.

  • The Insurer's Interpretation of Policy Wordings: Published case studies from the IFSO Scheme Case Studies database demonstrate how strictly an insurer enforces its fine print—such as non-disclosure clauses—and whether they act in accordance with the Insurance Council of New Zealand (ICNZ) Fair Insurance Code.

  • Macro Industry Pressures: Broader surge patterns show how macroeconomic changes impact the claims environment. A spike in motor disputes often reflects cost-of-living pressures, where customers are more inclined to fight a declined claim, and insurers are scrutinizing evidence more rigidly before paying out.


What Complaints and Dispute Decisions Don't Tell You

+------------------------------------------------------------------------------------+

| WHAT THE DATA LEAVES IN THE DARK |
+------------------------------------------------------------------------------------+

| ❌ Market Share Context (Raw complaint counts hide proportional performance) |
| ❌ Everyday Customer Experience (99% of smooth, successful claims go unrecorded) |
| ❌ Claims Processing Speed & Admin Efficiency |
| ❌ First-Stage Resolutions (Internal customer service fixes are shielded from view)|
+------------------------------------------------------------------------------------+

  • The Proportional Risk (Market Share Distortion): Raw numbers are highly misleading. A large insurer (such as IAG brands State, AMI, or Lumley) might naturally generate more formal complaints simply due to their massive volume of policies, whereas a smaller niche insurer might have a worse rate of complaints per 10,000 customers that is hidden by low aggregate figures.

  • The Seamless 99% Experience: Dispute data only documents failure points. It completely excludes the overwhelming majority of claims that are processed smoothly, paid out instantly, and settled to the customer's total satisfaction.

  • Administrative Speed and Customer Service Tone: An insurer might have very few formal dispute filings but still be frustrating to deal with due to long hold times, poor digital apps, or slow claim processing speeds. EDR schemes typically only step in once a clear legal or contractual "deadlock" is reached, not for general administrative sluggishness.

  • Internal Resolution Success: You cannot see how many complaints an insurer successfully and fairly resolved through its internal dispute process. A company with high internal integrity might resolve 95% of customer grievances directly, meaning very few ever spill over into public EDR statistics.


If you are currently evaluating or disputing a policy, let me know:

  • Are you looking to compare specific NZ insurers before buying?

  • Are you trying to navigate an active claim dispute regarding market/agreed value?

I can provide targeted steps to help you handle your specific situation.

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Captured 11 October 2026

Google AI Mode · New Zealand

What do complaints and dispute decisions tell me about motor insurers, and what don't they tell me?

Looking at complaints data and dispute decisions from external dispute resolution schemes (such as the Insurance and Financial Services Ombudsman Scheme (IFSO) or Financial Services Complaints Limited in New Zealand) offers a valuable window into how motor insurers operate. However, these records only tell part of the story.


What Complaints and Dispute Decisions Do Tell You

  • Operational Friction Points: They highlight common areas where friction occurs between policyholders and insurers—such as disputed vehicle valuations, liability determinations in accidents, denied coverage due to non-disclosure, or delays in the repair process.

  • Insurer Culture and Resolution Approach: They reveal how rigidly an insurer holds its ground versus how willingly they engage in conciliation or mediation. A pattern of formal binding decisions against an insurer can signal an inflexible internal dispute process.

  • Adherence to Policy Wording: Dispute outcomes show whether an insurer's interpretation of a policy exclusion or condition stands up to external, independent legal and fairness scrutiny.

  • Systemic Compliance Issues: High volumes of complaints about a specific insurer can flag systemic issues with customer communication, claims handling timelines, or poor broker/agent sales practices. You can review general dispute trends via the Insurance Council of New Zealand (ICNZ) guidance pages. [Insurance Council of New Zealand (ICNZ)]


What Complaints and Dispute Decisions Don't Tell You

  • Total Claim Volume Context: Raw complaint numbers can be misleading. A large national insurer with 500,000 policies might have more total complaints than a boutique insurer with 5,000 policies, but a lower complaint-to-claim ratio. Dispute data alone rarely normalizes for market share or total claim volume.

  • The Full Scope of Customer Satisfaction: These figures only capture the tip of the iceberg—the fraction of disputes that escalated past the insurer's internal complaints process to an external scheme. They do not measure the quiet majority of customers who might be mildly dissatisfied or those who had an exceptional experience.

  • Pricing and Value: Complaints data tells you nothing about whether an insurer offers competitive premiums, comprehensive policy features, or good baseline value for money.

  • Speed and Ease of Standard Claims: An insurer might have a seamless, automated approval process for 95% of minor windscreen or fender-bender claims, but generate complaints strictly over complex, total-loss payouts. Dispute metrics won’t reflect how smoothly routine claims are handled. [Insurance Council of New Zealand (ICNZ)]


Would you like to explore how to check a specific motor insurer's record through New Zealand's approved dispute resolution schemes, or are you looking at evaluating a policy for a particular vehicle?

Ask anything

Captured 11 October 2026