Validation Experiments & Hypotheses
Hypothesis #1: Problem Existence 🔴 Critical
We believe that operations and HR leaders at companies with 100-1,000 employees
Will actively seek tools to quantify and optimize meeting costs
If they are trying to improve organizational productivity
We will know this is true when we see 60%+ of surveyed leaders confirm this is a top-3 pain point AND 5%+ landing page signup rate.
Risk Level: 🔴 Critical (product fails if wrong)
Hypothesis #2: Solution Fit 🔴 Critical
We believe that operations leaders
Will adopt an automated meeting cost calculator
If we provide actionable insights and optimization nudges
We will know this is true when we see 70%+ of prototype users rate the output as "useful" or "very useful".
Risk Level: 🔴 Critical
Hypothesis #3: Willingness to Pay 🔴 Critical
We believe that mid-sized companies
Will pay $8-$12 per employee per month
If we demonstrate measurable productivity improvements
We will know this is true when we see 10+ pre-orders at target price point.
Risk Level: 🔴 Critical
Experiment Catalog
| Experiment | Hypothesis | Method | Cost |
|---|---|---|---|
| Discovery Interviews | #1 | Semi-structured interviews | $1,000 |
| Landing Page Test | #1, #2 | Waitlist signup | $500 |
| Wizard of Oz MVP | #2, #3 | Manual service delivery | Time only |
8-Week Validation Sprint
Week 1-2: Problem Validation (Interviews + Landing Page)
Week 3-4: Solution Validation (Wizard of Oz MVP)
Week 5-6: Pricing & Willingness to Pay
Week 7-8: Synthesis & Decision
Minimum Success Criteria
- 60%+ problem confirmation
- 5%+ landing page signup
- 70%+ prototype satisfaction