Resource

Three-Scenario Exposure Template

Carrier-Ready Reporting Format
Why three scenarios.
A single exposure number is either too high (plaintiff's demand) or too low (defense minimization). Neither is useful for settlement authority, mediation preparation, or client counseling. The three-scenario model presents the full range: what the plaintiff claims, what the data supports, and what the defense can achieve with all available tools. The realistic middle scenario — driven by actual violation rates from time records and payroll data — is the number that drives informed decision-making.
The audience.
This template serves three audiences: the carrier (who needs a defensible authority range), the client (who needs to understand the risk), and the mediator (who needs to evaluate the reasonableness of the parties' positions). Each audience reads the same three numbers but uses them differently. The carrier uses Scenario 2 for reserve setting. The client uses the gap between Scenarios 1 and 3 to understand the value of defense strategy. The mediator uses the methodology's rigor to assess credibility.
01
Template Structure
The exposure model is organized by violation category. Each category receives its own three-scenario analysis. The per-category totals are then aggregated into a case-level summary.
Part A
Case Summary & Key Variables
Entity name. PAGA notice filing date. PAGA period (one year before notice filing through present or estimated trial). Total aggrieved employees. Pay period frequency (bi-weekly = 26 periods/year, semi-monthly = 24). Violation categories alleged. Reform applicability (pre- or post-June 19, 2024 notice). Cure eligibility (employer under 100 employees). Applicable penalty caps.
Part B
Per-Category Analysis
For each violation category: three scenarios with specific inputs (violation rate, penalty rate, applicable reform provisions). Employee count, pay period count, violation rate, penalty per violation, applicable cap, and net exposure.
Part C
Case-Level Summary & Authority Recommendation
Aggregated exposure across all categories. Per-scenario total. Settlement range recommendation based on Scenario 2 (realistic) with litigation risk adjustment. Attorney fee estimate.
02
Scenario 1 — Plaintiff Maximum
This scenario uses the plaintiff's methodology and assumptions. It represents the upper bound of exposure — the number the plaintiff will use in the demand letter and at mediation.
Meal Period — Plaintiff Maximum
Aggrieved employees
50
Pay periods (26 bi-weekly)
26
Violation rate (plaintiff assumes 100%)
100%
Total violations (50 × 26 × 1.00)
1,300
PAGA penalty per employee per pay period
$100
Meal period PAGA penalties
$130,000
Derivative: wage statement penalties (Naranjo)
$130,000
Pre-reform total — single category
$260,000
The 100% assumption.
Plaintiff's counsel almost always assumes a 100% violation rate — every employee, every pay period. This assumption is nearly always inflated. The actual violation rate, derived from time records and payroll data, is typically 15–40%. The gap between 100% and the actual rate is the most consequential variable in the exposure model.
03
Scenario 2 — Data-Driven Realistic
This scenario uses actual violation rates derived from the employer's own records. It is the most labor-intensive scenario to build — and the most valuable.
Meal Period — Data-Driven Realistic
Aggrieved employees
50
Pay periods
26
Actual violation rate (from time records)
28%
Total violations (50 × 26 × 0.28)
364
PAGA penalty per employee per pay period
$100
Meal period PAGA penalties
$36,400
Anti-stacking (§ 2699(i)) — no derivative stacking
($0)
Post-reform total — single category
$36,400
The data must be defensible.
Scenario 2 is only as strong as the underlying data. Pull complete time records, not samples. Use the employer's own records — they are the best evidence. If the records are incomplete, note the gaps and apply reasonable assumptions. The methodology must be transparent and replicable.
04
Scenario 3 — Defense Best Case
This scenario applies every available defense tool to the data-driven violation rates: penalty caps, standing challenges, anti-stacking, recoverability limitations, and temporal bifurcation.
Meal Period — Defense Best Case
Data-driven penalties (from Scenario 2)
$36,400
15% penalty cap (§ 2699(g)(1))
× 15%
Capped exposure
$5,460
Employee share (35%)
$1,911
Per-employee recovery (÷ 50)
$38.22
Defense best case — single category
$5,460
Full Case Summary — All Three Scenarios (4 Violation Categories)
Scenario 1 — Plaintiff Maximum
$1,040,000
Scenario 2 — Data-Driven Realistic
$145,600
Scenario 3 — Defense Best Case (15% cap)
$21,840
Recommended settlement range (Scenario 2 × 50–75%)
$72,800–$109,200
Reduction from plaintiff demand
90–93%
05
Settlement Authority Recommendation Format
The carrier needs a specific authority recommendation with supporting rationale. This format provides the information carriers require.
I
Matter Summary
One paragraph: parties, violation categories, aggrieved employee count, PAGA period, reform applicability, procedural posture.
II
Exposure Analysis
Three-scenario summary table. Per-category breakdown. Methodology description (data sources, violation rate calculation, reform provisions applied). Key assumptions and limitations.
III
Defense Strategy Assessment
Available defenses: penalty caps, standing challenges, arbitration, manageability, affirmative defenses. Strength assessment for each. Litigation timeline and cost estimate.
IV
Authority Recommendation
Recommended settlement authority: specific dollar range based on Scenario 2. Early resolution discount. Attorney fee estimate (plaintiff's counsel will request fees). Litigation cost comparison: settlement now versus trial cost. Risk factors that could increase or decrease exposure.
Lead with the data.
Carriers respond to quantitative analysis, not qualitative assessments. The three-scenario model with actual violation rates is dramatically more persuasive than 'we believe the case is defensible.' The model demonstrates that defense counsel has done the work — and that the authority recommendation is based on data, not intuition.
Key Authorities
Lab. Code § 2699(f)(2)(A)
Default penalty — $100
Lab. Code § 2699(g)(1)
15% penalty cap
Lab. Code § 2699(h)(1)
30% penalty cap
Lab. Code § 2699(i)
Anti-stacking provision
Lab. Code § 2699(m)
35% employee / 65% LWDA split
Lab. Code § 2699(c)(1)
Standing — personal experience requirement
Ferra v. Loews Hollywood Hotel (2021) 11 Cal.5th 858
Regular rate for premium calculations
Alvarado v. Dart Container (2018) 4 Cal.5th 542
Flat-sum bonus regular rate methodology
For illustrative and educational purposes only. All calculations are hypothetical. Use the Penalty Estimator tool for case-specific modeling.
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