SkillSwap - Neighborhood Skill Exchange

Model: z-ai/glm-4.5-air
Status: Completed
Cost: $0.167
Tokens: 294,139
Started: 2026-01-05 00:17

Validation Experiments & Hypotheses

This section outlines a systematic approach to validating SkillSwap's core assumptions through targeted experiments. Each hypothesis is designed to test critical business assumptions before significant resource allocation.

1. Hypothesis Framework

Hypothesis #1: Problem Existence 🔴 Critical

We believe that [suburban homeowners and retirees]

Will [actively seek alternative skill exchange systems beyond money]

If we provide [a trusted, community-based platform for neighbor-to-neighbor skill sharing]

We will know this is true when we see [70%+ of surveyed homeowners confirm interest in skill exchange AND 8%+ landing page signup rate]

Risk Level: 🔴 Critical (product fails if wrong)
Current Evidence:
  • Supporting: Time banking movement (350+ operational programs), Nextdoor's popularity for local connections
  • Contradicting: None identified
  • Gaps: No direct measurement of suburban willingness to exchange non-monetary skills
Experiment Design:
  • Method: Community association surveys + landing page smoke test
  • Sample Size: 50 homeowners, 2,000 landing page visitors
  • Duration: 3 weeks
  • Cost: $800 (ads) + $250 (incentives)
Success Metrics:
Metric Fail Minimum Success Home Run
Interest confirmation <50% 50-70% 70-85% >85%
Landing page signup <3% 3-5% 5-8% >8%
Next Steps: If validated → Proceed to solution validation. If invalidated → Explore alternative monetization models or adjacent community problems.

Hypothesis #2: Solution Fit & Trust System 🔴 Critical

We believe that [suburban homeowners]

Will [exchange skills through a platform with community verification]

If we provide [a simple credit system with neighbor vouches and safety features]

We will know this is true when we see [75%+ of pilot users complete at least one exchange AND 80%+ rate trust features as "important" or "very important"]

Risk Level: 🔴 Critical
Current Evidence:
  • Supporting: Nextdoor's success shows demand for neighborhood platforms, time banks prove concept works
  • Contradicting: Craigslist's sketchy reputation highlights trust barriers
  • Gaps: No data on how suburban homeowners value verification systems
Experiment Design:
  • Method: Wizard of Oz MVP in 3 pilot communities
  • Sample Size: 50 users across 3 communities
  • Duration: 6 weeks
  • Cost: $3,000 (community incentives) + 120 hours

Hypothesis #3: Willingness to Pay for Premium Features 🟡 High

We believe that [active exchange users]

Will [upgrade to premium for unlimited exchanges and priority matching]

If we provide [clear value beyond the free tier: unlimited exchanges, better matching, scheduling]

We will know this is true when we see [15%+ conversion from free to premium AND 20+ premium subscribers in pilot communities]

Risk Level: 🟡 High (affects revenue model)
Current Evidence:
  • Supporting: Freemium models common in community platforms, Nextdoor Plus shows willingness to pay
  • Contradicting: Time banks typically operate on donation model
  • Gaps: No price sensitivity data for this specific value proposition

Hypothesis #4: Community Champion Adoption 🟡 High

We believe that [HOA leaders and community organizers]

Will [champion and promote SkillSwap to their communities]

If we provide [easy onboarding tools, community dashboard, and clear benefits]

We will know this is true when we see [10+ community champions onboarded AND 50+ users per champion community within 3 months]

Risk Level: 🟡 High (primary growth channel)
Current Evidence:
  • Supporting: Community association networks exist, Nextdoor uses local ambassadors
  • Contradicting: HOAs often have limited bandwidth and competing priorities
  • Gaps: No data on what motivates HOA leaders to adopt new platforms

Hypothesis #5: Credit System Dynamics 🟢 Medium

We believe that [users]

Will [engage more actively with credit expiration and community challenges]

If we provide [monthly credit expiration and gamified community challenges]

We will know this is true when we see [40%+ of credits spent before expiration AND 25%+ participation in community challenges]

Risk Level: 🟢 Medium (affects platform velocity)
Current Evidence: Limited data on time banking engagement patterns

2. Experiment Catalog

Experiment Hypothesis Method Timeline Cost
Community Survey #1 50 homeowners via HOA newsletters 2 weeks $250
Landing Page Test #1 3 headline variants, 2,000 visitors 2 weeks $550
Wizard of Oz MVP #2 Manual matching in 3 pilot communities 6 weeks $3,000
Van Westendorp Pricing #3 Price sensitivity survey with 100 users 3 weeks $300
Community Champion Onboarding #4 Recruit 15 HOA leaders, provide onboarding kit 4 weeks $1,500
Feature Prioritization Survey #5 MVP feature ranking with 50 users 2 weeks $200

3. Experiment Prioritization Matrix

High Impact, Low Effort

  • Landing Page Test (Hypothesis #1)
  • Community Survey (Hypothesis #1)
  • Feature Prioritization Survey (Hypothesis #5)

High Impact, High Effort

  • Wizard of Oz MVP (Hypothesis #2)
  • Community Champion Onboarding (Hypothesis #4)

4. 8-Week Validation Sprint

Weeks 1-2
Weeks 3-4
Weeks 5-6
Weeks 7-8
Problem Validation
  • Community surveys (50)
  • Landing page tests
  • Interview analysis
Solution Validation
  • Wizard of Oz setup
  • 3 pilot communities
  • Trust feature testing
Pricing & Adoption
  • Van Westendorp test
  • Community champion outreach
  • Premium conversion test
Decision & Planning
  • Data synthesis
  • Go/No-Go decision
  • MVP planning

5. Minimum Success Criteria (Go/No-Go)

Category Metric Must Achieve Nice-to-Have
Problem Interest confirmation 70%+ 85%+
Problem Landing page signup 5%+ 8%+
Solution Exchange completion rate 60%+ 80%+
Solution Trust feature importance 80%+ 90%+
Pricing Premium conversion rate 10%+ 20%+
Adoption Community champions 5+ 10+
Go Decision: All "Must Achieve" criteria met
Conditional Go: 80% of criteria met with clear path to remainder
No-Go Decision: <80% of criteria met without clear fixes

6. Pivot Triggers & Contingency Plans

Trigger #1: Low Problem Interest

Signal: <50% confirm interest in skill exchange

Action: Explore adjacent problems (community event planning, tool sharing)

Pivot Options: Community marketplace with monetary transactions

Trigger #2: Trust System Rejection

Signal: <60% rate trust features as important

Action: Simplify verification, focus on transparency

Pivot Options: Remove verification, focus on community reputation

Trigger #3: Low Premium Conversion

Signal: <5% conversion to premium tier

Action: Revalue premium features, adjust pricing

Pivot Options: Freemium with ads, donation-based model

Trigger #4: Champion Resistance

Signal: <3 community champions recruited

Action: Interview champions about barriers, adjust incentives

Pivot Options: Direct-to-consumer growth, focus on individual adoption

7. Experiment Documentation Template

## Experiment: [Name]
**Date:** [Start - End]
**Hypothesis Tested:** #X

### Setup
- What we did
- Sample size
- Tools used
- Cost incurred

### Results
| Metric | Target | Actual | Pass/Fail |
|--------|--------|--------|-----------|

### Key Learnings
- Insight #1
- Insight #2
- Surprise finding

### Evidence
- [Link to data]
- [Quotes/screenshots]

### Next Steps
- [What this means for the product]
- [Follow-up experiments needed]