Evidence · Home and contents insurance

Every question, every answer, every source

Explore all 372 home and contents insurance questions and the 1,476 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
372
answers saved, of 1488 planned
1476
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 372 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; twelve home and twelve contents selection questions, with missing captures preserved

  • 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; four home and three contents platform answers per region

  • 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

  • Matched consumer platform membership

    platform-membership.csv

    One row per answer in the identical-question platform comparison.

    Answer ID, question ID, product, consumer and platform; 22 identical questions per platform

  • Matched regional platform membership

    regional-platform-membership.csv

    One row per answer in the identical-question regional platform comparison.

    Answer ID, question ID, product, region and platform; 31 identical questions per platform

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

After a large home claim is settled, what independent evidence would distinguish good repair and recovery outcomes from mere claim acceptance, and what evidence is unavailable for comparing insurers?

In New Zealand, a large home insurance claim being accepted or settled is evidence of a financial decision, not proof that the homeowner has recovered well or that the house has been properly repaired. The strongest assessment combines independent technical evidence, documented repair completion, longer-term property performance, and the homeowner’s experience.

This distinction matters particularly after earthquakes, floods, and other major natural hazards. New Zealand research has examined how cash settlements affect homeowners’ ability to organise repairs and the resulting quality of their homes. Homeowner insurance claim and housing repair experiences: The influence of individual and community factors :: Natural Hazards Commission Toka Tū AkeBuying a house after a natural disaster

1. What independent evidence would demonstrate a good outcome?

  1. Independent technical sign-off
  • A post-repair report from an appropriately qualified, independent building professional or structural engineer.
  • Evidence that the full damage scope was addressed, including hidden structural damage, moisture, foundations, drainage and weather-tightness where relevant.
  • Code compliance certificates, producer statements, consent records and inspection sign-offs where applicable.

These are stronger evidence of workmanship and compliance than an insurer’s confirmation that a claim is closed. Buying a house after a natural disasterHome and contents insurance: How to make a claim

  1. Evidence that the repairs were actually completed
  • The original damage assessment and itemised scope of work.
  • Invoices, receipts, contractor records and evidence of payments.
  • Independent confirmation that completed work matches the agreed scope.
  • A record of defects, remedial work and outstanding items.

This is especially important for cash settlements: receiving the settlement does not establish that the money covered all necessary repairs or that the work was completed. Buying a house after a natural disasterHomeowner insurance claim and housing repair experiences: The influence of individual and community factors :: Natural Hazards Commission Toka Tū Ake

  1. Longer-term performance of the home
  • Follow-up inspections for recurring leaks, cracking, settlement, dampness or other defects.
  • Evidence that repairs have not needed repeated rework.
  • Continued compliance with relevant building requirements and resolution of defects discovered after occupation.
  • Where appropriate, evidence that the property is safe, functional and suitable for normal use.

A house can pass an initial inspection yet develop problems later, so longitudinal evidence is more informative than a single completion date.

  1. Independent evidence of homeowner recovery
  • Time taken to return home, including the duration of temporary accommodation.
  • Out-of-pocket repair costs, settlement shortfalls and financial hardship.
  • Homeowner surveys measuring satisfaction with repair quality, communication, timeliness and fairness.
  • Wellbeing, disruption to family life and confidence in the repaired home.
  • Complaints, repeat repairs and unresolved issues after settlement.

These measures show whether the homeowner actually recovered, rather than simply received an insurance payment. The Financial Markets Authority's review of responses to the Auckland Anniversary Weekend flooding and Cyclone Gabrielle highlighted continuing improvement needs in communications, project oversight, resourcing and complaints handling. Insurance companies have improved their processes but more to do in extreme eventsHomeowner insurance claim and housing repair experiences: The influence of individual and community factors :: Natural Hazards Commission Toka Tū Ake

2. What evidence is available for comparing insurers in New Zealand?

There is useful evidence, but it covers different parts of the customer experience and does not provide a complete, independent ranking of major-claim outcomes.

Evidence source What it can establish Main limitation
Consumer NZ insurance comparisons Policy terms, price, cover limits and surveyed customer satisfaction. How to get the best house and contents insuranceHouse and contents insurance Satisfaction and policy comparisons do not necessarily measure independently verified repair quality after large claims.
Insurance Council of New Zealand (ICNZ) complaints reporting Insurer-level numbers of claims received and external dispute outcomes. How to Make an Insurance Complaint (NZ) Complaint counts are not direct measures of overall service quality or repair success.
Financial Markets Authority (FMA) reviews Independent regulatory scrutiny of claims processes and industry-wide weaknesses. Insurance companies have improved their processes but more to do in extreme events Sector-level findings do not, by themselves, establish which insurer delivers the best physical repair outcomes.
Natural Hazards Commission Toka Tū Ake research Evidence about homeowners’ repair experiences, settlement arrangements and housing outcomes after natural hazards. Homeowner insurance claim and housing repair experiences: The influence of individual and community factors :: Natural Hazards Commission Toka Tū Ake Research on a particular event or claimant group is not automatically representative of every insurer or all large home claims.

Why complaints figures are not enough

ICNZ's published figures for the year ending December 2024 provide an example. They include claims received across all business lines and complaints closed by external dispute resolution schemes. The published table records 96 complaints closed for IAG NZ against 525,636 claims received, compared with 32 for TOWER against 66,480 claims received. These figures are not directly comparable measures of home-claim quality: the underlying portfolios, claim types and customer circumstances differ. How to Make an Insurance Complaint (NZ)

A low number of upheld complaints could mean good service, but it could also reflect differences in who complains, which disputes reach an external scheme, and how cases are resolved. It says little directly about whether repairs were durable or whether a household returned to normal life quickly.

3. What evidence is missing for a robust insurer comparison?

The key gap is a consistent, independently audited dataset that follows large residential claims from lodgement through to completed repairs and longer-term recovery.

Ideally, it would publish insurer-level results for:

  • Repair quality: independent defect rates, incomplete scopes, repeat repairs and failures identified after completion.
  • Timeliness: median and upper-percentile times from claim lodgement to settlement, repair completion and return to the home.
  • Financial adequacy: the proportion of claims where settlements covered necessary reinstatement, and the extent of homeowner-funded shortfalls.
  • Recovery: time out of the home, accommodation costs, financial stress and post-repair wellbeing.
  • Fairness and transparency: disputed scopes, settlement revisions, complaint resolution times and outcomes.
  • Comparable case mix: results adjusted for damage severity, property type, natural hazard, repair versus cash settlement, and regional building constraints.

Without these measures, it is difficult to separate insurer performance from the difficulty of the claim itself. A company handling more severely damaged homes may have longer repair times even if its project management is better.

Bottom line

The most convincing evidence of a good outcome is independent confirmation that the home has been properly repaired, evidence that the repairs remain sound over time, and measured improvement in the homeowner’s financial and living circumstances.

For New Zealand insurer comparisons, policy comparisons, customer surveys, complaints statistics, regulatory reviews and natural-hazard research provide useful partial evidence. What remains missing is a comprehensive, standardised and independently verified comparison of repair quality and long-term recovery specifically for large home claims. A claim acceptance rate or settlement figure alone cannot fill that gap.

Ask anything

ChatGPT can make mistakes. Check important info.

Captured 11 October 2026

Gemini · New Zealand

After a large home claim is settled, what independent evidence would distinguish good repair and recovery outcomes from mere claim acceptance, and what evidence is unavailable for comparing insurers?

In New Zealand, settling a large home insurance claim (such as after major weather events, floods, or earthquakes) closes the administrative loop for the insurer, but it does not automatically mean the homeowner has achieved a true recovery.


Part 1: Independent Evidence of Good Repair vs. Claim Acceptance

An insurer counting a claim as "accepted and closed" relies primarily on financial ledger markers. Conversely, independent, qualitative evidence proves whether a genuine repair and recovery outcome has occurred:

  • Independent Post-Repair Building Reports: Assessments by an independent chartered professional engineer, registered surveyor, or certified building inspector verifying that structural rectifications meet or exceed the New Zealand Building Code (and specifically address the root cause of damage rather than masking surface symptoms).
  • Code Compliance and Council Sign-Off: Formal local authority documentation, such as Council Code Compliance Certificates (CCC) for restricted building work, demonstrating that all reinstated structural, plumbing, or drainage elements are legally certified.
  • Long-Term Thermal and Moisture Integrity Testing: Specialized diagnostic data (such as non-destructive thermal imaging and rigorous moisture meter readings) confirming that cavities, framing timber, and insulation have dried fully, preventing hidden mold or rotting.
  • Restoration of Home Functionality and Well-Being: Quantitative and qualitative tracking of the homeowner's return to "pre-loss standard"—not just in a balance sheet sense, but via verified indoor environmental quality, acoustic performance, and the absence of secondary chronic health triggers (e.g., dampness-related respiratory issues).
  • Dispute-Free Remediation Tracking: The absence of persistent snagging lists, unreturned contractor call-backs, or escalated disputes handled through external dispute resolution services like the Insurance & Financial Services Ombudsman (IFSO) or the New Zealand Claims Resolution Service (NZCRS).

Part 2: Evidence Unavailable for Comparing Insurers

When evaluating or benchmarking different New Zealand insurers, several critical dimensions of repair quality and consumer experience remain completely hidden or inaccessible:

  • Internal Contractor Margin and Subcontractor Quality Disparities: Insurers generally keep proprietary data on how much they squeeze preferred contractor networks on price versus quality, making it impossible to systematically compare whether Insurer A uses higher-grade materials than Insurer B behind the walls.
  • Post-Settlement Latent Defect Rates: Long-term failure data (e.g., whether repairs begin failing 18 to 36 months down the track due to rushed workmanship or inadequate subtrade coordination) is rarely tracked centrally or published openly across competing portfolios.
  • Actual Cash Value vs. Replacement Friction Metrics: While policies state "replacement value" or "indemnity", the hidden friction—how often policyholders are forced into cash settlements that are ultimately insufficient to cover true local trade rates—is masked by aggregate financial ratios (like loss ratios or combined ratios published by the Insurance Council of New Zealand).
  • True Psychological and Administrative Burden (Friction Costs): Insurer public metrics capture processing times, but they do not measure the emotional toll, hours spent on hold, or the frequency of project manager turnover experienced by the policyholder during the build phase.

Are you looking at evaluating a specific insurer's performance, or navigating a current residential claim dispute in New Zealand?

Ask Gemini

Gemini is AI and can make mistakes.

Captured 11 October 2026

AI Overviews · New Zealand

After a large home claim is settled, what independent evidence would distinguish good repair and recovery outcomes from mere claim acceptance, and what evidence is unavailable for comparing insurers?

AI Overview

Mere claim acceptance only confirms that a private insurer or the Natural Hazards Commission Toka Tū Ake (NHC) agrees a loss is covered. It does not guarantee that the property is adequately restored.

To evaluate whether a settled home claim delivers a high-quality repair and recovery outcome , specific independent evidence can be reviewed. However, structural limitations in New Zealand's insurance market mean certain comparative data points remain strictly unavailable to the public.


Available Independent Evidence of Good Outcomes

Rather than relying on the insurer’s sign-off, a successful recovery outcome is verified through technical, structural, and legal indicators:

  • Building Consent Authority (BCA) Documentation: For major structural work, a Code Compliance Certificate (CCC) issued by the local city or district council provides independent proof that the repairs legally comply with the current New Zealand Building Code.

  • Independent Surveyor Reports: A post-repair evaluation by a Registered Building Surveyor or structural engineer can confirm the property has been restored to a standard "substantially the same as new" without hidden structural deficiencies or moisture entrapment.

  • Unconditional Post-Repair Valuation: A certified appraisal by a Registered Valuer that reflects full market value—without discounting for "as-is, where-is" defects—indicates the property's asset equity has been completely recovered.

  • Clearance Certificates: For complex losses, independent certificates proving successful toxicological remediation (e.g., black mould clearance or asbestos sign-offs) ensure the home is safe to occupy.


Evidence Unavailable for Comparing Insurers

When policyholders try to research which insurers historically deliver the best physical recovery outcomes, they encounter significant information gaps:

  • Granular Quality-of-Repair Metrics: While data exists regarding claim processing times, there is no public registry tracking building defect rates, contractor disputes, or remediation failures linked to specific insurers' managed repair panels.

  • Full Scope of Cash-Settlement Outcomes: Under New Zealand's preferred cash-settlement regime, insurers pass the physical rebuilding onus onto the homeowner. Once a "full and final" cash payout is made, the ultimate repair quality or outcome is rarely tracked by the insurer, leaving a void of comparative data on whether those cash pools actually sufficed.

  • Confidential Dispute Resolutions: The vast majority of claim resolution shortfalls are settled via internal dispute resolution (IDR) channels or confidential mediation. Consequently, comprehensive data on the severity and context of structural disputes remains unavailable for consumer cross-comparison.


If you are navigating or preparing for a large structural claim, let me know:

  • Whether your insurer is proposing a managed repair or a cash settlement?

  • If your claim involves natural hazard damage handled alongside the Natural Hazards Commission?

I can provide specific checklists or regulatory guidance tailored to your path.

Ask anything

Captured 11 October 2026

Google AI Mode · New Zealand

After a large home claim is settled, what independent evidence would distinguish good repair and recovery outcomes from mere claim acceptance, and what evidence is unavailable for comparing insurers?

  • Evidence for Good Outcomes:
  • Independent post-repair building inspections conducted by a certified, chartered building surveyor verifying that structural integrity and code compliance meet or exceed the New Zealand Building Code, rather than just passing a basic council or insurer-aligned check.
  • Thermal imaging and moisture testing reports proving the absolute absence of trapped moisture, hidden mould growth, or thermal bridging post-remediation.
  • Longitudinal homeowner satisfaction and wellbeing surveys administered 6 to 12 months after moving back in, tracking chronic stress reduction, functional habitability, and resolution of latent defects rather than immediate transactional satisfaction at settlement.
  • Full transparency and itemised scopes of work matched against actual completed works, showing zero variance or unaddressed sub-contractor shortcuts.
  • Evidence Unavailable for Comparing Insurers:
  • True longitudinal structural longevity data tracking whether repaired homes suffer accelerated degradation or secondary failure 5 to 10 years down the track, as this data is rarely tracked systematically or publicly disclosed by a single provider.
  • Dispute escalation and Ombudsman overturn rates broken down strictly by major catastrophic events versus standard claims, which are often obfuscated in aggregate data.
  • Actual contractor retention and quality metrics showing how well an insurer vets, pays, and retains high-tier trade labour versus low-cost providers during industry-wide capacity crunches.
  • Unfiltered, un-curated customer friction logs capturing the true emotional and administrative burden (such as average hours spent on hold or number of case-manager switches) across the entire market on a standardised, apples-to-apples basis.

Would you like to explore how the Insurance & Financial Services Ombudsman (IFSO) or New Zealand Dispute Resolution Service (DRS) evaluate insurer dispute trends, or focus on specific metrics for assessing recovery quality?

Ask anything

Captured 11 October 2026