Section 06: Validation Experiments & Hypotheses
This section defines the critical assumptions behind VendorShield and outlines specific, lean experiments to validate them before significant development investment. We focus on testing problem existence, solution fit, pricing, and acquisition channels with real users.
1. Hypothesis Framework
Hypothesis #1: Problem Pain & Urgency
We believe that security teams at mid-market companies (500-5,000 employees)
Will prioritize automated vendor risk monitoring over manual questionnaires
If they experience vendor-related security incidents or audit failures
We will know this is true when we see 70%+ of interviewed CISOs rate this as a "severe" or "critical" operational pain point.
Current Evidence:
• Supporting: 60% of breaches involve third parties (IBM), average enterprise has 5,800 vendors (Ponemon)
• Contradicting: Existing GRC tools have poor mid-market adoption
• Gaps: No direct interviews with target buyers yet
Hypothesis #2: Solution Preference
We believe that security teams overwhelmed by manual assessments
Will choose automated continuous monitoring over periodic reviews
If we provide real-time alerts and reduce assessment time from 40+ hours to <1 hour
We will know this is true when we see 60%+ of target users in a preference test choose our automated approach over current manual process.
Hypothesis #3: Willingness to Pay
We believe that companies spending $100K+ on enterprise GRC or 40+ hours per vendor manually
Will pay $999-$2,499/month for automated vendor risk management
If we demonstrate 90% time savings and better risk coverage
We will know this is true when we see 40%+ conversion from free security grade to paid plan, with CAC < $3,000.
Hypothesis #4: Data Accuracy & Trust
We believe that security professionals skeptical of automated risk scoring
Will trust our risk ratings when transparently sourced and explained
If we show data provenance, confidence scores, and allow manual overrides
We will know this is true when we see 80%+ of prototype users rate data as "accurate" or "very accurate" for known vendors.
Hypothesis #5: Cross-Functional Adoption
We believe that procurement and compliance teams
Will adopt a security-led tool for broader vendor risk management
If we add financial/operational risk modules and compliance mapping
We will know this is true when we see 30%+ of security team sales expanding to include procurement/compliance users within 90 days.
2. Experiment Catalog
| Experiment | Hypothesis | Method | Sample Size | Duration | Cost | Success Criteria |
|---|---|---|---|---|---|---|
| #1: CISO Problem Interviews | #1, #2 | 30-minute structured interviews | 15 CISOs | 2 weeks | $1,500 (incentives) | 70% rate problem as severe/critical |
| #2: Free Security Grade Landing Page | #1, #3 | Landing page offering free vendor security grade | 2,000 visitors | 3 weeks | $2,000 (ads + dev) | 15% conversion to grade request |
| #3: Manual Service MVP | #2, #3, #4 | Wizard of Oz: manual risk reports delivered in 24h | 20 companies | 4 weeks | Time only | 8/10 satisfaction, 40% willing to pay |
| #4: Van Westendorp Pricing Test | #3 | Survey with 4 pricing questions | 100 responses | 1 week | $500 | Optimal price point >$999/month |
| #5: Channel CAC Test | #3 | Parallel campaigns: LinkedIn vs Security Blogs | $2,000 spend | 2 weeks | $2,000 | CAC < $3,000, LinkedIn CPL < $150 |
| #6: Data Accuracy Validation | #4 | Blind test vs manual assessment for 50 known vendors | 5 security experts | 1 week | $1,000 | 80% accuracy rating, <10% false positives |
| #7: Pre-Sales Pilot Program | #3, #5 | 3-month pilot at 50% discount with procurement involvement | 5 companies | 3 months | Discount cost | 100% pilot renewal, 2+ departments using |
3. 8-Week Validation Sprint Schedule
• Launch free security grade landing page
• Begin LinkedIn vs blog channel testing ($1,000 each)
• Deliverable: Problem validation report, initial CAC data
• Run Van Westendorp pricing survey (n=100)
• Analyze channel performance, double down on winner
• Deliverable: Willingness-to-pay data, refined value prop
• Conduct blind data accuracy test with experts
• Begin pre-sales pilot recruitment
• Deliverable: Accuracy validation report, pilot contracts
• Calculate final CAC, LTV, conversion metrics
• Make build decision based on success criteria
• Deliverable: Go/No-Go recommendation with roadmap
4. Minimum Success Criteria (Go/No-Go)
CISO interviews rating as severe/critical
Manual MVP satisfaction (1-10)
Optimal price point (Van Westendorp)
Channel CAC for qualified lead
Expert accuracy rating
Go/No-Go Decision Framework
Green Light (Build): All 5 criteria at "Pass" OR 4 at "Pass" + 1 at "Conditional"
Yellow Light (Build with Changes): 3 at "Pass" + 2 at "Conditional" OR 4 at "Pass" + 1 at "Fail" (if fixable)
Red Light (Pivot/Kill): Any 2+ at "Fail" OR critical hypothesis (#1 or #2) at "Fail"
5. Pivot Triggers & Contingency Plans
Signal: <70% of CISOs rate vendor risk as severe/critical
Investigation: Are we targeting wrong persona? Is timing wrong?
Pivot Options: 1) Target larger enterprises with more vendors, 2) Focus on compliance-driven use cases, 3) Shift to vendor security posture management only
Signal: Optimal price point <$799/month
Investigation: Are we delivering enough value? Wrong packaging?
Pivot Options: 1) Lower-cost MVP with fewer vendors, 2) Usage-based pricing, 3) Focus on time-savings ROI calculation
Signal: <75% accuracy rating from experts
Investigation: Which data sources are problematic? Scoring algorithm issues?
Pivot Options: 1) Start with fewer, higher-confidence signals, 2) Human-in-the-loop verification, 3) Partner with established data providers
Signal: CAC >$4,000 for qualified lead
Investigation: Wrong channels? Messaging not resonating?
Pivot Options: 1) Product-led growth via free tier, 2) Channel partnerships, 3) Content-driven inbound
6. Experiment Documentation Template
DATES: March 15-31, 2024
HYPOTHESIS: #1, #3
SETUP:
• Built landing page with Carrd
• Domain: vendorshield.io/grade
• Google Analytics + conversion tracking
• $1,000 LinkedIn ads targeting security titles
• $1,000 Google Ads for vendor risk keywords
METRICS:
• Visitors: 2,145
• Conversion to grade request: 18.3% (393 requests)
• Cost per lead: $5.09
• Email capture rate: 64% of requesters
KEY LEARNINGS:
1. "Free security grade" converts 3x better than "vendor risk assessment"
2. LinkedIn CPC 40% higher but conversion 2x better than Google
3. Most requested vendors: AWS, Microsoft, Salesforce, Zoom, Slack
NEXT STEPS:
• Double down on LinkedIn targeting
• Build automated grade delivery (currently manual)
• Add "request your vendor" functionality
Key Recommendations
1. Start immediately with CISO interviews - this is the fastest path to validating problem severity
2. Run the manual MVP concurrently - even with 5 customers, you'll learn more than any survey
3. Be prepared to pivot on pricing - mid-market may require lower entry point than enterprise
4. Track CAC from day one - this market has long sales cycles; know your numbers early
5. Document everything - even failed experiments provide investor confidence in your rigor