Section 06: Validation Experiments & Hypotheses
Transform assumptions into actionable experiments. We'll validate VendorShield's core assumptions with lean, low-cost tests before building.
Hypothesis Framework
We test 8 critical assumptions using this validated structure:
Hypothesis Format:
We believe that [target users] will [do this action] if we [provide this solution], we will know this is true when we see [measurable outcome]
Problem Existence 🔴 Critical
We believe that security teams at mid-market companies (500-5,000 employees) will actively seek automated vendor risk solutions if they are managing 50+ vendors with manual processes we will know this is true when we see 60%+ of surveyed teams confirm vendor risk as top-3 pain point AND 5%+ landing page signup rate
Solution Fit 🔴 Critical
We believe that security teams will adopt VendorShield over spreadsheets if we deliver continuous risk scoring with actionable insights we will know this is true when we see 70%+ of prototype users rate output as "useful" or "very useful"
Willingness to Pay 🔴 Critical
We believe that security teams will pay $499-$999/month for vendor risk platform if we save 20+ hours/vendor and prevent breaches we will know this is true when we see 10+ pre-orders at target price point
Problem Severity 🟡 High
We believe that security teams who've experienced vendor breaches will prioritize automated monitoring over other security initiatives if we demonstrate breach prevention value we will know this is true when we see 50%+ report vendor breach in past 2 years
Differentiation 🟡 High
We believe that security teams will choose VendorShield over SecurityScorecard if we offer financial/operational risk alongside security we will know this is true when we see 60%+ prefer our solution in head-to-head test
Channel Efficiency 🟢 Medium
We believe that security leaders will sign up via LinkedIn ads at CAC below $200 if we target with breach prevention content we will know this is true when we see CAC < $200 for LinkedIn campaigns
Experiment Catalog
10 lean experiments to validate all hypotheses with $5K total budget
| Experiment | Hypothesis | Method | Cost | Success Criteria |
|---|---|---|---|---|
| Discovery Interviews | #1, #4 | 50 security team interviews via LinkedIn/Reddit Incentive: $50 gift card |
$750 | 60%+ confirm vendor risk as top-3 pain point |
| Landing Page Smoke Test | #1 | Carrd landing page with value prop Headlines: "Stop vendor breaches before they happen" vs "Your security team's missing vendor risk tool" |
$500 | >5% signup rate from 1,000+ visitors |
| Wizard of Oz MVP | #2, #3 | Manual delivery using GPT-4 + risk API Process: Google Form → AI analysis → human polish → email delivery |
$0 (time) | 70%+ rate output as "useful" |
| Pricing Survey (Van Westendorp) | #3, #6 | Online survey with price sensitivity questions Target: 100 security teams |
$300 | Optimal price $499-$999 (60%+ would pay) |
| Competitor Head-to-Head | #5 | 10 security teams test SecurityScorecard vs VendorShield prototype | $500 | 60%+ prefer VendorShield for breadth of risk |
| Pre-Order Test | #3 | Offer $499 Starter tier with 30-day money-back guarantee | $0 | 10+ pre-orders at target price |
| Channel CAC Test | #7 | $500 LinkedIn ad test targeting security leaders | $500 | CAC < $200 |
| Retention Experiment | #8 | Track renewal rates of 15 early customers after 6 months | $0 | 70%+ renewal rate |
Experiment Prioritization Matrix
| Experiment | Impact | Effort | Risk if Skipped | Priority |
|---|---|---|---|---|
| Discovery Interviews | 🔴 Critical | Medium | Fail | 1 |
| Landing Page Test | 🔴 Critical | Low | Fail | 2 |
| Wizard of Oz MVP | 🔴 Critical | High | Fail | 3 |
| Pricing Survey | 🟡 High | Low | Suboptimal pricing | 4 |
| Competitor Head-to-Head | 🟡 High | Medium | Weak differentiation | 5 |
| Channel CAC Test | 🟢 Medium | Medium | Inefficient acquisition | 6 |
8-Week Validation Sprint
Weeks 1-2: Problem Validation
- Launch landing page + ad campaign
- Recruit & conduct 50 interviews
- Analyze pain point severity
Weeks 3-4: Solution Validation
- Build Wizard of Oz workflow
- Deliver to 15 users
- Collect satisfaction scores
Weeks 5-6: Pricing Validation
- Run pricing survey
- Collect pre-orders
- Analyze price sensitivity
Weeks 7-8: Decision
- Compile all results
- Run Go/No-Go analysis
- Final decision & next steps
Go/No-Go Criteria
| Category | Must Achieve | Nice-to-Have |
|---|---|---|
| Problem Confirmation | 60%+ confirm as top-3 pain | 80%+ confirmation |
| Landing Page Signup | 5%+ rate | 10%+ rate |
| Solution Satisfaction | 7/10+ average rating | 8.5/10+ rating |
| Willingness to Pay | 50%+ would pay $499-$999 | 70%+ would pay |
| Pre-Orders Collected | 10+ at target price | 25+ pre-orders |
Go Decision: All "Must Achieve" criteria met
Conditional Go: 70% of criteria met with clear path to remainder
No-Go: <70% of criteria met, no clear fixes
Pivot Triggers & Contingency
Trigger #1: Problem Doesn't Exist
Signal: <40% confirm problem as top pain
Action: Deep-dive on actual top problems (e.g., "Do you have a vendor breach risk problem?" vs "Do you want a vendor risk tool?")
Pivot: Shift to adjacent problem (e.g., vendor onboarding process) or different audience (procurement teams)
Trigger #2: Solution Doesn't Resonate
Signal: <50% satisfaction with prototype
Action: Analyze specific pain points in feedback ("What's confusing? What's missing?")
Pivot: Simplify scope (start with security only), add human review layer, or change output format
Trigger #3: Won't Pay Enough
Signal: Acceptable price <50% of target ($499)
Action: Identify higher-value use case (e.g., "preventing breach" vs "tracking vendors")
Pivot: Freemium model (free basic scoring, paid for alerts), enterprise pricing, or reduce cost structure