APIWatch - API Changelog Tracker

Model: meta-llama/llama-3.3-70b-instruct
Status: Completed
Cost: $0.047
Tokens: 162,789
Started: 2026-01-05 14:33

Validation Experiments & Hypotheses

Hypothesis #1: Problem Existence 🔴 Critical

We believe that solo founders and bootstrapped entrepreneurs will actively seek viability analysis tools if they are trying to validate a new product idea. We will know this is true when we see 60%+ of surveyed founders confirm this is a top-3 pain point AND 5%+ landing page signup rate.

Risk Level: 🔴 Critical (product fails if wrong)

Current Evidence: Supporting - Forum discussions, search volume, competitor traction. Contradicting: None identified. Gaps: No direct user interviews yet.

Experiment Design: Customer discovery interviews + landing page test. Method: Semi-structured interviews with target users and a landing page with waitlist signup. Sample Size: 20 interviews, 1,000 landing page visitors. Duration: 2 weeks. Cost: $500 (ads) + 20 hours (interviews).

Success Metrics: | Metric | Fail | Minimum | Success | Home Run | |--------|------|---------|---------|----------| | Problem confirmation rate | <40% | 40-60% | 60-80% | >80% | | Landing page signup | <2% | 2-5% | 5-10% | >10% |

Next Steps if Validated: Proceed to solution validation. Next Steps if Invalidated: Pivot to adjacent problem or exit.

Hypothesis #2: Solution Fit 🔴 Critical

We believe that founders seeking validation will use an AI-powered analysis tool instead of manual research if we deliver comprehensive, actionable reports in minutes instead of weeks. We will know this is true when we see 70%+ of prototype users rate the output as "useful" or "very useful".

Risk Level: 🔴 Critical

Current Evidence: Supporting - Industry reports suggest demand for automated solutions. Contradicting: None identified. Gaps: No direct user feedback yet.

Experiment Design: Wizard of Oz MVP. Method: Manually deliver the service using AI + human judgment. Sample Size: 10 users. Duration: 4 weeks. Cost: Time only (10-20 hours of effort).

Success Metrics: | Metric | Target | Actual | Pass/Fail | |--------|--------|--------|-----------| | User satisfaction | 7/10 | | | | NPS score | 30 | | |

Next Steps if Validated: Proceed to pricing validation. Next Steps if Invalidated: Pivot to different solution or exit.

Hypothesis #3: Willingness to Pay 🔴 Critical

We believe that bootstrapped founders will pay $49-$99 for a single viability analysis if we provide investor-grade output that saves 20+ hours of research. We will know this is true when we see 10+ pre-orders at target price point.

Risk Level: 🔴 Critical

Current Evidence: Supporting - Similar products charge premium prices. Contradicting: None identified. Gaps: No direct sales data yet.

Experiment Design: Pre-order test. Method: Collect actual payments before building. Sample Size: 10+ pre-orders. Duration: 2 weeks. Cost: $0 (pre-orders).

Success Metrics: | Metric | Target | Actual | Pass/Fail | |--------|--------|--------|-----------| | Pre-orders | 10 | | | | Payment conversion | 50% | | |

Next Steps if Validated: Proceed to launch. Next Steps if Invalidated: Pivot to different pricing or exit.

Experiment Catalog

Experiment Hypothesis Method Sample Size Duration Cost
Discovery Interviews #1 Semi-structured interviews 20 2 weeks $500 + 20 hours
Landing Page Test #1, #2 Landing page with waitlist signup 1,000 2 weeks $500
Wizard of Oz MVP #2, #3 Manually deliver service using AI + human judgment 10 4 weeks Time only (10-20 hours)

8-Week Validation Sprint

Week 1-2: Problem Validation
Week 3-4: Solution Validation
Week 5-6: Pricing & Willingness to Pay
Week 7-8: Synthesis & Decision

Minimum Success Criteria (Go/No-Go)

To proceed, we need to meet the following criteria:

  • 60%+ of surveyed founders confirm problem existence
  • 5%+ landing page signup rate
  • 70%+ of prototype users rate the output as "useful" or "very useful"
  • 10+ pre-orders at target price point

Pivot Triggers & Contingency Plans

If we fail to meet these criteria, we will reassess our approach and consider pivoting to a different problem, solution, or pricing strategy.

Experiment Documentation Template

For each completed experiment, we will document the following:

  • Hypothesis tested
  • Experiment design
  • Results
  • Key learnings
  • Next steps