Expert Report on Class Damages
Drafts a litigation-ready expert report on class-wide damages for class action proceedings. Structures analysis to satisfy Daubert/FRE 702 admissibility and FRCP 23(b)(3) predominance. Use when retaining or preparing a damages expert for class certification, merits, or trial phases.
Expert Report on Class Damages
Produces a court-ready expert damages report demonstrating class-wide measurability of harm under a common methodology, structured to survive Daubert challenge and support FRCP 23(b)(3) certification.
Prerequisites
- Class definition and complaint — allegations, liability theories, relief sought
- Engagement scope — retention letter specifying opinions requested and exclusions
- Damages evidence — transaction records, financial statements, pricing data, surveys, or defendant-produced databases
- Expert CV — credentials, publications, prior testimony history
- Opposing expert reports (if any) — to distinguish competing methodologies
- Legal authorities — jurisdiction's Daubert/Frye standard; prior rulings on proposed methodology
Quick Start
- Gather prerequisites above
- Confirm jurisdiction's admissibility standard (Daubert, Frye, or Sargon)
- Select primary damages methodology from the methodology table below
- Walk through each output section in order
- Run the compliance checklist before finalizing
Output Sections
1. Title Page
| Field | Content |
|---|---|
| Court & case caption | Full court name, case number, parties |
| Expert identity | Name, title, firm/institution |
| Retaining party | Plaintiff / Defendant / Neutral |
| Report date | Date of signing |
| Confidentiality designation | Per applicable protective order |
2. Introduction & Engagement Scope
- Identify the putative class, claims, and relief sought
- State questions addressed:
- Can damages be measured class-wide using common evidence?
- What is the aggregate class-wide damages amount?
- Do individual damages issues predominate over common ones?
- Explicitly state what is not in scope (liability, causation, individual allocation) to limit deposition exposure
3. Expert Qualifications
Tie credentials directly to the methodology used — generic backgrounds invite Daubert attack.
| Category | Detail |
|---|---|
| Education | Degree, institution, year |
| Relevant experience | Industry, sector, years |
| Publications | Those bearing on methodology or damages field |
| Prior testimony | Number of matters, courts, subject areas |
| Specific expertise | Why qualified for this methodology |
4. Methodology & Economic Framework
Select and justify the primary methodology:
| Methodology | Best For | Key Requirements |
|---|---|---|
| Regression analysis | Price-fixing, overcharge | Sufficient transaction data; control variables |
| Before-and-after | Market disruption, fraud | Clean pre-period baseline; comparable windows |
| Yardstick / benchmark | Product liability, consumer harm | Comparable unaffected market or product |
| Lost profits (but-for) | Breach, interference | Reliable projections; defensible counterfactual |
Must include:
- Cite academic literature and FJC Reference Manual on Scientific Evidence (3d ed.)
- Address prior court acceptance in similar cases
- Explain why rejected alternatives are less reliable
- Demonstrate common proof: damages calculable without individualized inquiries
5. Data Sources & Assumptions
For each data source, document:
| Element | Description |
|---|---|
| Origin | Who produced it, how obtained |
| Processing | Cleaning, normalization, exclusions |
| Reliability | Suitability for analysis; completeness concerns |
| Limitations | Known gaps; defendant data issues |
Material assumptions: state each explicitly, cite supporting basis, and perform sensitivity analysis showing damages remain robust across reasonable variations.
6. Damages Analysis & Calculations
Present step-by-step:
- Class size — method for identifying affected members
- Per-member harm — average injury and distribution across subgroups
- Aggregate damages — formula, inputs, result
For each step: show formula, data inputs with source citations, and output value.
- Use tables/charts for judge/jury accessibility
- Calculate each measure separately (compensatory, restitutionary, disgorgement) — explain overlaps to avoid double-counting
- Address mitigation, offsets, or benefits reducing net damages
- Present sensitivity ranges for uncertain point estimates
7. Conclusions
- State aggregate damages with confidence level
- If range: identify variation drivers
- Tie each conclusion to methodology and data
- Acknowledge modeling uncertainties — avoid false precision
- Confirm damages provable to reasonable certainty under applicable standard
8. Appendices
| Appendix | Contents |
|---|---|
| A | Expert CV |
| B | Materials considered (complete list) |
| C | Calculation workpapers |
| D | Data tables and source extracts |
| E | Demonstrative exhibits |
| F | Bibliography |
| G | Model/software documentation (if proprietary tools) |
Compliance Checklist
- [ ] Daubert: methodology is testable, peer-reviewed where possible, has known error rate, and is generally accepted — address all four factors [VERIFY circuit's Daubert formulation]
- [ ] FRCP 23(b)(3): common questions predominate; model does not require individualized mini-trials
- [ ] FRE 702: opinions based on sufficient facts, reliable methodology, reliably applied to facts
- [ ] Scope discipline: no opinions beyond engagement scope
- [ ] Data provenance: chain of custody documented for all data relied upon
- [ ] Replication: methodology sufficiently documented for opposing expert to replicate
- [ ] Jurisdiction: confirm controlling admissibility standard — Daubert, Frye, Sargon (CA), or other [VERIFY by jurisdiction]
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