franchisee-scoring

name	franchisee-scoring
description	Weighted franchisee selection scorecard generator. Builds recruitment criteria and scoring models parameterized by {target_franchisee} profile and {product_type} competency requirements. Use when designing franchisee selection criteria, building recruitment scorecards, evaluating franchise candidates, or comparing franchisee applicants for any franchise system.

Franchisee Scoring

Core Variables

Variable	Examples	Impact on Scorecard
{target_franchisee}	operator, investor, corporate, hybrid	Determines weight distribution across criteria
{product_type}	software, food, education, healthcare, fitness	Determines domain expertise requirements
{business_model}	SaaS, physical_retail, service, hybrid	Determines operational competency requirements
{franchise_model}	single-unit, multi-unit, area_development, master_franchise	Determines scale of financial and management requirements

Required Inputs

• Franchise System: Description, maturity, current network size.
• Target Franchisee Profile: Operator vs. investor vs. corporate.
• Territory Requirements: What the franchisee needs to do in territory.
• Financial Requirements: Minimum investment, net worth, liquidity.

Execution Steps

1. Ideal Franchisee Profile (IFP)

Build the IFP based on {target_franchisee} and {product_type}:

Profile Archetypes

Dimension	Operator	Investor	Corporate	Hybrid
Day-to-day involvement	Full-time, hands-on	Part-time, oversight	Delegated to manager	Transition from operator to oversight
Financial profile	Moderate net worth, willing to work in business	High net worth, portfolio investor	Entity-backed, multi-unit capable	Growing net worth, reinvests
Management experience	May be first-time owner	Experienced manager of managers	Corporate operations team	Growing management skill
Domain expertise	Preferred but trainable	Not required (hires it)	Acquires or hires	Builds over time
Growth ambition	1-3 units	3-10+ units	10+ units or master	1 unit → multi-unit path
Risk tolerance	Moderate (personal investment)	Moderate-high (diversified)	Calculated (portfolio)	Moderate

2. Scoring Criteria with Weights

Financial Criteria

Criterion	Description	Weight by Archetype
Net worth	Total assets minus liabilities	Operator: 15% / Investor: 10% / Corporate: 10%
Liquid capital	Cash and easily convertible assets	Operator: 15% / Investor: 10% / Corporate: 10%
Credit score	Creditworthiness indicator	Operator: 10% / Investor: 5% / Corporate: 5%
Financing capability	Ability to secure additional capital	Operator: 5% / Investor: 10% / Corporate: 10%

Operational Criteria

Criterion	Description	Weight by Archetype
{product_type} domain experience	Direct experience in the industry	Operator: 15% / Investor: 5% / Corporate: 10%
Sales/business development ability	Track record of revenue generation	Operator: 15% / Investor: 5% / Corporate: 5%
People management experience	History of managing teams	Operator: 5% / Investor: 10% / Corporate: 10%
Multi-unit management	Experience operating multiple locations	Operator: 0% / Investor: 10% / Corporate: 15%
Local market knowledge	Familiarity with territory	Operator: 10% / Investor: 5% / Corporate: 5%

Cultural Fit Criteria

Criterion	Description	Weight by Archetype
Brand alignment	Values alignment with franchise brand	All: 5%
System compliance	Willingness to follow the system	Operator: 5% / Investor: 10% / Corporate: 5%
Community involvement	Local presence and engagement	Operator: 5% / Investor: 5% / Corporate: 0%
Growth mindset	Ambition and continuous improvement	All: 5%
Coachability	Receptiveness to training and feedback	Operator: 10% / Investor: 5% / Corporate: 5%

3. Product-Type-Specific Criteria

Add criteria specific to {product_type}:

Product Type	Additional Criteria	Why It Matters
Software/SaaS	Technical literacy, B2B sales experience, implementation project management	Must sell, implement, and support technology
Food/Restaurant	Food service experience, health code knowledge, hospitality orientation	Food safety and customer experience are critical
Education/Training	Education sector experience, local institution relationships, curriculum delivery	Credibility with educational decision-makers
Healthcare	Clinical background or healthcare management, regulatory knowledge	Compliance-heavy, trust-dependent
Fitness/Wellness	Personal training/fitness background, membership sales experience	Community-building and retention-driven
Professional Services	Professional credentials, client relationship management, team leadership	Quality delivered through people
Home Services	Trade experience or management, local market presence, fleet management	Execution-intensive, reputation-driven

4. Scoring Methodology

Scoring Scale (per criterion)

Score	Label	Definition
5	Exceptional	Exceeds requirements significantly — competitive advantage
4	Strong	Fully meets requirements with demonstrated evidence
3	Adequate	Meets minimum requirements — trainable on gaps
2	Below Standard	Gaps that require significant development
1	Disqualifying	Does not meet minimum threshold

Minimum Thresholds (Go/No-Go)

Category	Minimum Score	Rationale
Financial criteria	All items ≥ 3	Cannot undercapitalize a franchise
{product_type} domain experience	≥ 2 (trainable) or ≥ 4 (if no training program)	Must deliver competently
Brand alignment	≥ 3	Misaligned franchisees damage the brand
Overall weighted score	≥ 3.5	Below this correlates with franchisee failure

Decision Matrix

Weighted Score	Decision	Action
4.5-5.0	Strong Approve	Fast-track to discovery day
3.5-4.4	Approve	Proceed to discovery day, note development areas
3.0-3.4	Conditional	Address gaps before proceeding — specific plan required
2.0-2.9	Decline	Does not meet criteria — provide feedback
< 2.0	Disqualify	Immediate decline

5. Recruitment Funnel Benchmarks

Track conversion rates at each stage:

Stage	Description	Benchmark Conversion
Lead	Initial inquiry or application	100% (starting point)
Qualified Lead	Meets basic financial and background criteria	30-40%
Application	Completes full application with financials	50-60% of qualified
Interview	Phone/video screening with franchise development	60-70% of applications
Discovery Day	In-person or virtual deep-dive	50-60% of interviews
Awarded	Franchise agreement signed	40-60% of discovery day
Opened	Unit operational	85-95% of awarded

Overall funnel: Expect 3-5% of initial leads to become operating franchisees.

Output Template

## Franchisee Scoring Model: [Franchise Name]

### Engagement Parameters
| Variable | Value |
|---|---|
| Target Franchisee | {target_franchisee} |
| Product Type | {product_type} |
| Business Model | {business_model} |
| Franchise Model | {franchise_model} |

### Ideal Franchisee Profile
[Narrative description of the ideal candidate]

### Weighted Scorecard
| Category | Criterion | Weight | Min Score | Candidate Score | Weighted |
|---|---|---|---|---|---|
| Financial | Net worth | X% | 3 | /5 | |
| Financial | Liquid capital | X% | 3 | /5 | |
| [Continue for all criteria] | | | | | |
| **TOTAL** | | **100%** | | | **/5.00** |

### Decision: [Approve / Conditional / Decline]
[Rationale with strengths and development areas]

### Recruitment Funnel Targets
[Conversion benchmarks for the franchise system]

Quality Checks

• Weights sum to 100% across all criteria.
• {target_franchisee} archetype drives weight distribution (not one-size-fits-all).
• {product_type}-specific criteria included beyond generic business skills.
• Minimum thresholds defined as go/no-go gates (not just weighted into score).
• Decision matrix has clear action per score band.
• Recruitment funnel benchmarks included for pipeline planning.