Our Methodology

How we analyze and score franchise opportunities. Every score is derived from publicly verifiable data using a transparent, repeatable process — not editorial opinion or commercial relationships.

Scoring Overview

Franchisel uses five independent scores, each on a 0–100 scale, derived entirely from primary FDD data — not editorial judgment or commercial relationships. There is no single “Franchisel Score.” Instead, every brand page shows the five component scores so buyers can weight what matters most to their decision.

The Core Diligence figure shown on brand cards and rankings is the average of System Health, Franchisor Strength, and Contract Burden — the three scores that do not depend on optional disclosures like Item 19. Economics Coverage is shown separately and may be null for brands that did not file an Item 19. Data Confidence is always present and reflects how complete and fresh the underlying source data is.

Scores are tied to a specific FDD filing year, which is cited on every brand page. When a newer filing is processed, scores update and the prior year is archived.

The Five Production Scores

Weights reflect each dimension’s relative importance to buyer outcomes based on our analysis of franchise failure and success research.

FDD Source — Each Score

System Health
FDD Items 20 + 21
Franchisor Strength
FDD Items 3, 4, 21
Contract Burden
FDD Items 17 + 12
Economics Coverage
FDD Item 19
Data Confidence
Source freshness + completeness

System Health

FDD Items 20 + 21

Derived from Item 20 unit count data: net franchise growth over the most recent three-year period, termination and non-renewal rate as a percentage of total system, and closure trajectory. Also incorporates Item 21 audited financials where available — franchisor net worth stability and revenue trend. A system with positive net unit growth, low churn, and a financially stable franchisor scores higher here. This is the most directly observable signal of whether the franchise model works in practice.

Franchisor Strength

FDD Items 3, 4, 21

Derived from Items 3 and 4 (litigation and bankruptcy history) and Item 21 (audited financial statements). Measures the financial health and legal standing of the franchisor. Franchisors with pending or recurring franchisee lawsuits, unresolved regulatory actions, or declining net worth score lower. A strong franchisor should be financially solvent, litigation-light, and growing — not solely dependent on franchise fees for revenue.

Contract Burden

FDD Items 17 + 12

Derived from Items 12 and 17: territorial protection strength, renewal terms, transfer rights, termination conditions, and post-term non-compete scope. Measures how much contractual risk the franchisee bears relative to the franchisor. Weak territory protection, one-sided termination rights, or aggressive non-competes increase burden. This score reflects the legal risk profile of the agreement, not the investment economics.

Economics Coverage

FDD Item 19

Directly reflects the presence, completeness, and comparability of Item 19 (Financial Performance Representations). A franchisor that discloses revenue for all units in a current year using a clear metric scores higher than one that omits Item 19 entirely, discloses only a cherry-picked subset, or provides only non-comparable gross sales without context. This score is null — not penalized — if Item 19 is absent, because absence is itself disclosed as a data gap rather than treated as a negative score.

Data Confidence

Source freshness + completeness

A cross-cutting quality score that reflects how complete and current the underlying FDD data is. Higher confidence when: data is extracted directly from a state-filed FDD (not estimated), the filing year is current, key Item sections are populated, and comparability flags are minimal. Lower confidence when: data is sourced from secondary filings, key sections are missing, or the FDD year is more than two years old. This score does not penalize brands for what their FDD discloses — only for the completeness of data we have on file.

Data Sources

Our scoring uses only verifiable primary and secondary sources. We do not use franchisor marketing materials, broker listings, or unverified online reviews as inputs to any scored dimension.

FDD Items 1–23

Primary source for all financial and operational data

State Regulatory Filings

Registration states: CA, IL, MD, MN, NY, VA, WA, WI, and others

SEC EDGAR (10-K / 10-Q)

Audited financials for publicly traded franchisors

PACER Court Records

Federal litigation and class action history

Franchisee Community Data

Independently verified, labeled separately from FDD data

FDD Verification Process

When we process a new or updated FDD, our analysts extract data from all 23 Items, with particular focus on Items 5 (Fees), 6 (Other Fees), 7 (Estimated Initial Investment), 11 (Franchisor’s Obligations), 12 (Territory), 19 (Financial Performance Representations), 20 (Outlets and Franchisee Information), and 21 (Financial Statements).

Each extracted data point is cross-referenced against at least one independent source — typically state filings, SEC disclosures, or prior-year FDD comparisons to identify material changes. Data points that cannot be independently corroborated are flagged with a lower confidence indicator on the platform.

Community-reported data undergoes a separate verification process: submissions are matched against Item 20 franchisee lists to confirm ownership, then aggregated at the brand level. Individual submissions are never published. Only verified aggregates enter brand profiles, and they are always labeled as “community-reported” with the verification count displayed.

Annual Update Cycle

FDDs are required to be updated annually, with most franchisors filing in Q1 or Q2. We monitor regulatory databases and update brand profiles within 30 days of a new FDD filing. When an update contains material changes — new litigation, significant fee increases, notable changes to territory rights or support structure — we highlight the changes and recalculate the affected dimension scores.

Every brand profile displays the FDD year the data is drawn from and the date of our last update, so you always know the age of the information you are reviewing.

Red Flag Detection

In addition to the five scores, we systematically scan each FDD for patterns associated with higher investment risk. Red flags are categorized by severity (Critical, Warning, or Positive) and displayed separately from scores — so a single severe issue is never obscured by a strong overall average.

Our detection logic checks for: absence of Item 19 disclosure (flagged as a data-coverage gap — not a judgment on the business), franchisee turnover above category average, active class action litigation, regulatory enforcement actions, declining net unit count over three years, royalty rates materially above category norms, territory encroachment provisions, unreasonable non-compete durations, and unusual restrictions on transfer and renewal rights.

Item 19 absence is handled as follows: the Economics Coverage score is set to null (not scored), and a Coverage Gap flag is shown so buyers can factor the missing data into their own assessment. Absence does not mean the numbers are bad — it means a data point buyers typically rely on is not available for this brand.

How to Read Our Analysis

Everything on Franchisel sits in one of three clearly separated buckets. Understanding which bucket you are reading is the most important thing for using this platform correctly.

FDD-Reported Facts

Data extracted directly from a government-filed FDD: fee amounts, unit counts, Item 19 revenue figures, litigation disclosures, territory terms. Every fact is cited to the specific FDD item it comes from and the filing year. These are the strongest elements — they come from documents franchisors are legally required to file.

Our Analysis of Those Facts

The five scores, red flags, comparability labels, benchmark percentiles, and filing-change summaries are our interpretation of the disclosed facts. We explain why a data point matters, how it compares to peers, and what questions it should raise — without speculating about outcomes the FDD does not support. Our methodology is public and every analytical conclusion is cited to the FDD item that prompted it.

User Assumption Tools

The scenario calculator is a separate tool that lets you model economics using your own revenue and cost assumptions. It does not use our scores or FDD facts as inputs, and its outputs are your scenarios — not our estimates. It is clearly labeled as assumption-based and is never used in rankings or report content.

Community-sourced sentiment data (public surveys, Glassdoor, FBR ratings) is displayed separately from FDD data on brand pages and is never blended into scores. It is labeled with its source and date so you always know what you are reading.

Methodology Limitations

No scoring system can capture every factor relevant to a franchise investment decision. Our scores are a starting point for due diligence, not a substitute for it. Local market conditions, individual operator skills, financing terms, real estate quality, and personal risk tolerance all matter and are not reflected in our scores. We always recommend consulting a qualified franchise attorney and accountant before investing.

Important Notice:Franchisel provides franchise research and analysis for informational purposes only. This is not financial, legal, or investment advice. All financial data labeled “Estimated” is approximate and has not been verified against actual FDD filings. Data labeled “FDD Verified” or “State Filing” has been extracted directly from government-filed Franchise Disclosure Documents (MN CARDS, WI DFI, CA DFPI) but may not reflect the most recent filing. Unit counts, revenue figures, and other metrics change frequently. Always request and independently verify the current FDD from the franchisor before making any investment decision. Consult a qualified franchise attorney and accountant before investing. Franchisel is not affiliated with, endorsed by, or sponsored by any franchise system listed on this platform. Scores reflect our editorial analysis methodology and are not endorsed by any franchisor.