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

User Research & Validation Plan

A comprehensive 8-week research plan to validate SkillSwap's core assumptions before development investment.

Key Assumptions to Validate

Problem Assumptions

Assumption Risk Method Target
Neighbors have skills they'd be willing to exchange for non-monetary compensation High Interviews, observation 70%+ have marketable skills to share
Current solutions (Craigslist, Nextdoor) are inadequate for skill exchange High Competitive analysis + interviews Specific pain points documented
People feel awkward asking neighbors for favors directly Medium Interviews, scenario testing 60%+ confirm this barrier
Suburban communities have sufficient density for skill matching Medium Geographic analysis, interviews 3-mile radius yields 50+ potential matches
Retirees and young professionals have complementary skill sets Low Interviews, skill inventory Clear complementary patterns identified

Solution Assumptions

Assumption Risk Method Target
Equal time credit system (1 hour = 1 credit) is perceived as fair High Prototype testing, interviews 80%+ accept system as fair
Community vouch system builds sufficient trust High Trust scenario testing 70%+ willing to exchange with vouched members
Users will engage with 3-credit starter system Medium Prototype testing, surveys 60%+ complete first exchange within 2 weeks
Monthly credit expiration encourages active participation Medium A/B testing of policies 40%+ increase in monthly activity with expiration
AI-powered matching within 3-mile radius is effective Low Matching algorithm testing 75%+ satisfaction with match quality

Business Assumptions

Assumption Risk Method Target
20%+ of active users will convert to premium ($4.99/month) High Pricing tests, surveys 10+ paying customers in pilot
HOAs will pay $99/month for community dashboard High Sales conversations, proposals 3+ HOA letters of intent
Average user completes 2 exchanges/month Medium Usage tracking, surveys 1.5+ exchanges/user/month
Communities maintain 40%+ retention after 6 months Medium Pilot community tracking 35%+ retention acceptable

Customer Discovery Interview Guide

Interview Framework (60-90 minutes)

Part 1: Background & Context (10 min)
  • Tell me about your home and neighborhood
  • How long have you lived here?
  • What do you like most about your community?
  • What role do you play in your neighborhood (HOA board, active resident, etc.)?
Part 2: Problem Exploration (20 min)
  • Walk me through the last time you needed help with something at home
  • What skills do you have that neighbors might find valuable?
  • How often do you help neighbors or receive help?
  • What's been your experience asking neighbors for favors?
  • What tools or methods do you currently use to find local help?
  • What's the biggest frustration with finding help locally?
Part 3: Current Solutions (15 min)
  • What have you tried to solve [specific problem]?
  • What do you like about these solutions?
  • What don't you like about them?
  • Have you ever used Nextdoor or Facebook groups for this?
  • What would make you switch to a new solution?
Part 4: Solution Exploration (15 min)
  • If I told you about a platform where neighbors exchange skills using time credits...
  • What would be most valuable about that?
  • What concerns would you have?
  • What would it need to have for you to try it?
  • How would you feel about giving piano lessons and receiving lawn care in return?
  • How much time would you realistically spend on this each month?
Part 5: Wrap-up (10 min)
  • On a scale of 1-10, how valuable would this be to you?
  • Who else in your neighborhood would be interested?
  • Would you be willing to help us test this in your community?
  • What's the best way to reach you about updates?

Survey Design

Screening Survey

  1. What type of community do you live in?
  2. How long have you lived in your current neighborhood?
  3. On a scale of 1-10, how well do you know your neighbors?
  4. How often do you help or receive help from neighbors?
  5. What skills do you have that others might find useful?
  6. What services do you wish you could get from neighbors?
  7. Are you involved in any neighborhood organizations?
  8. Would you be interested in a 30-minute interview about community help? ($50 gift card)

Validation Survey

  1. How interested would you be in a platform for exchanging skills with neighbors?
  2. What's your biggest concern about trading services with neighbors?
  3. How important is it that skills are valued equally (1 hour = 1 hour)?
  4. What would you expect to pay for premium features?
  5. How likely would you be to verify new community members?
  6. Van Westendorp pricing questions (too cheap/expensive)
  7. Demographics for community segmentation

Validation Experiments

Landing Page Validation

Headlines to Test:

  • "Trade skills with your neighbors - no money needed"
  • "The neighborhood help network that builds community"
  • "Piano lessons for lawn care? Your neighborhood skill exchange"

Success Criteria: >5% signup rate, <10% email bounce, >50% scroll-to-bottom rate

Prototype Testing Options

Wizard of Oz MVP

Manual skill matching via email

Cost: $0 + time

Timeline: 2-4 weeks

Concierge Service

High-touch for 10-20 users

Cost: $500 + time

Timeline: 4-6 weeks

8-Week Validation Timeline

Week 1-2

Problem Validation

Week 3-4

Solution Validation

Week 5-6

Pricing Validation

Week 7-8

Prototype Testing

Key Milestones:
  • 20+ customer discovery interviews completed
  • 200+ survey responses analyzed
  • 1,000+ landing page visitors with 50+ signups
  • 5-10 pre-orders at target pricing
  • Wizard of Oz MVP tested with 10+ users

Go/No-Go Decision Criteria

Metric Target Actual Pass?
Problem validation rate 80%+ confirm pain -
Landing page signup rate >5% -
Premium conversion interest 20%+ at $4.99 -
Pre-order conversions 10+ customers -
Trust system acceptance 70%+ with vouches -

Research Synthesis Template

Problem Validation Summary

  • Top 3 validated pain points with user quotes
  • Unexpected discoveries about community dynamics
  • Segments with highest vs. lowest pain points
  • Assumptions that were validated vs. invalidated

Solution Validation Summary

  • Most compelling features and messaging
  • Trust system effectiveness and improvements needed
  • Credit system fairness perception
  • Community features that drive engagement

Go-to-Market Insights

  • Best community entry points (HOAs vs. organic)
  • Key community champions identified
  • Optimal launch strategy and timing
  • Partnership opportunities uncovered