This section is not part of the public launch
We are keeping the launch site focused on bringing owners together. Existing members can still sign in and use their private account tools.
How We Work
Evidence Methodology
How data is collected, verified, and published.
Why methodology matters
Forum posts and social media anecdotes are easy for manufacturers to dismiss as unrepresentative, emotionally charged, or unverifiable. Structured, consistently collected, transparently methodologised data is different. It is harder to dismiss, and it forms the foundation of credible advocacy.
This page explains exactly how we collect, verify, and publish data so that owners, JLR, the media, and consumer rights bodies can understand and trust our evidence.
How data is collected
Owners submit data voluntarily through the vehicle data form. The form currently captures:
- Vehicle details and identification
- Battery State of Health measurements (with source and date)
- Dated service, fault, repair, recall, and inspection records
Members can append further SoH measurements to each registered car. Earlier readings are retained so first-to-latest change can be calculated. Members can also maintain a private service/fault timeline; those records are not yet published in aggregate. Later form phases are planned to capture:
- HV battery work history (type, dates, duration, outcome)
- Campaign or recall status (H441, H448, H570, H571, H572)
- Warranty and additional cover details
- Work experience, delays, and difficulties
- Loan car provision
- Payments, goodwill, and expenses
- Responsibility disputes
- Evidence documents (future feature)
- Consent options
All fields are clearly labelled. Where exact information is not known, owners can indicate uncertainty rather than guessing. This is important: we prefer an honest "unsure" over a fabricated figure.
Verification levels
Each submission is assigned one of the following verification levels:
| Level | Description |
|---|---|
| Self-reported | Owner's own statement; no supporting documents supplied |
| Document supplied | Owner has uploaded supporting documentation (dealer report, invoice, etc.) |
| Reviewed | An organiser has reviewed the submission and any documents |
| Duplicate-checked | Entry confirmed not to be a duplicate of another submission |
| Excluded from public statistics | Flagged as incomplete, inconsistent, or a suspected duplicate |
Self-reported data is included in aggregate statistics but clearly labelled as such. Entries excluded from public statistics are retained internally for review but not counted in public figures.
What is published
The public evidence dashboard shows:
- Aggregate counts and percentages
- Registered-car and contributing-owner counts
- Latest SoH and model-year distributions
- Latest average SoH and first-to-latest change for cars with repeat readings
Service/fault records can already capture campaign involvement, repair duration, courtesy vehicle support, parts delays, warranty cover, and disputes as private member data. Public statistics for those fields, plus payment and goodwill statistics, will be added only after review, consent, moderation, and publication rules are implemented.
All published data is anonymised. No individual entry, name, email, full VIN, or registration is published.
What is not published
- Individual owner identities
- Full VINs or registrations
- Email addresses
- Uploaded documents (without explicit individual consent)
- Data marked as excluded from public statistics
Known limitations
- Self-reported data is not independently verified. We make this clear on all published output.
- Sample bias. Owners who have experienced problems are more likely to submit data. The dashboard may over-represent negative experiences relative to the total fleet.
- Measurement uncertainty. SoH figures may come from different tools and methods. We capture source information to allow for this.
- Different measurement intervals. First-to-latest SoH change is not an annual degradation rate. Cars may have readings taken over different periods and mileages; dates and mileage must be considered in deeper analysis.
- Recall status may be out of date. Owners submit a snapshot at a point in time.
We publish these limitations clearly so that our evidence is not overstated.
Why structured data is more credible than forum anecdotes
Manufacturers routinely cite forum posts as "a small vocal minority." Structured data with:
- Consistent field definitions
- Stated data sources
- Uncertainty flags
- Verification levels
- Transparent methodology
- Anonymised aggregate publication
…is qualitatively different. It demonstrates scale, consistency, and methodological rigour. It is the kind of evidence that senior management, consumer bodies, and media can engage with seriously.
Privacy commitment
We do not publish full VINs, email addresses, owner names, registrations, or uploaded documents publicly, without explicit individual consent. See our Privacy Policy for full details.