warranty-timeline

# Warranty Request Timeline

Builds a defensible chronological timeline of warranty requests and complaints for product defect litigation, regulatory proceedings, or internal investigations.

## Prerequisites

Collect before starting:
- **Product ID** — model number, SKU, or product name
- **Source documents** — warranty DBs, complaints, service records, RMA logs, internal emails, quality reports
- **Date range** — target period
- **Privacy constraints** — redaction/anonymization requirements per protective order

## Workflow

Copy and track progress:

```
- [ ] Step 1: Collect and extract data from source documents
- [ ] Step 2: Organize chronologically and analyze patterns
- [ ] Step 3: Calculate statistics
- [ ] Step 4: Assemble deliverables
- [ ] Step 5: Apply privacy redactions and verify source attribution
```

### Step 1: Data Collection

Search uploaded documents using broad terms:

| Primary | Secondary |
|---|---|
| warranty claim/request | return authorization, RMA |
| product defect, malfunction | service/repair request |
| customer complaint, product failure | engineering investigation, quality hold |
| [product name/model/SKU] | batch/lot number |

Extract per record:

| Field | Notes |
|---|---|
| Request date | Exact date; temporal proximity matters for notice |
| Customer ID | Redact per protective order |
| Product info | Model, serial, mfg date, batch/lot, purchase date |
| Defect description | Preserve verbatim customer language |
| Company response | Repair/replace/refund/deny + rationale |
| Resolution date | Calculate days-to-resolution |
| Handling personnel | Name + role (potential fact witnesses) |
| Source attribution | Document title, repository, custodian, creation date |

### Step 2: Chronological Organization & Pattern Analysis

Organize earliest to most recent. For high-volume products, group by week/month with drill-down.

Flag these patterns:

- [ ] **Earliest complaint** — establishes initial notice date (SOL, punitive damages, regulatory reporting)
- [ ] **Temporal clusters/spikes** — bad production batches or design-phase defects
- [ ] **Geographic concentrations** — distribution, storage, or environmental factors
- [ ] **Defect evolution** — progressive failure modes, emerging secondary defects
- [ ] **Internal acknowledgments** — engineering emails, quality holds, design change discussions
- [ ] **Response pattern shifts** — denial rate changes, escalation frequency, legalistic language
- [ ] **Inconsistencies** — gaps between internal knowledge and public statements (fraud/misrepresentation)

### Step 3: Statistics

Calculate:
- Total requests + unresolved count
- Requests per 1,000 units sold (if sales data available)
- Repair vs. replace vs. deny rates
- Average/median time to resolution
- Median time from purchase to first complaint (short = latent defect argument)

### Step 4: Deliverables

**A. Master Spreadsheet** — One row per claim with columns: Request Date (YYYY-MM-DD), Customer ID (redacted), Location, Product Model, Serial Number, Mfg/Batch Date, Defect Category (Electrical/Mechanical/Cosmetic/Safety/Performance), Severity (Minor/Moderate/Severe/Safety-Critical), Defect Description, Company Response, Resolution Date, Days to Resolution, Handling Personnel, Source Reference.

**B. Executive Summary** — At-a-glance metrics: total requests, date range, unresolved count, top defect categories with percentages, most affected regions, notable spikes, key statistics.

**C. Narrative Overview (2-5 paragraphs)** — Chronological progression: when defects first appeared, when patterns became statistically significant, when internal investigations began (or should have), when regulatory reporting triggered, when corrective action taken or not. Present facts neutrally — no legal conclusions.

**D. Supporting Materials** — Source document log with full attribution, methodology statement (search terms, repositories, date ranges, limitations), visualizations if data supports (complaint volume over time, geographic heat maps).

## Pitfalls and Checks

- **Preserve verbatim language** — customer descriptions carry evidentiary weight as contemporaneous non-expert statements
- **Disclose all gaps** — missing periods from retention policies, system migrations, or business unit changes must be noted, not papered over
- **Do not interpret ambiguous complaints** — present as-written; let counsel characterize
- **Maintain factual objectivity** — separate factual data from analytical observations to preserve work product protection
- **Dual format output** — manipulable (Excel) + fixed (PDF) for discovery production
- **Privacy compliance** — redact PII per protective orders and applicable consumer protection statutes
- **Authentication readiness** — source attribution must support independent verification by opposing counsel or court
- **Flag regulatory triggers** — note when complaint volume/severity may trigger reporting under CPSA or state consumer protection statutes