Clinical Trial Navigator

Model: microsoft/phi-4-reasoning-plus
Status: Completed
Cost: $0.022
Tokens: 115,971
Started: 2026-01-05 14:35

Validation Experiments & Hypotheses

Hypothesis #1: Problem Existence 🔴 Critical

We believe that patients with chronic or serious conditions (cancer, rare diseases, autoimmune disorders) will seek a platform to discover, understand, and track clinical trials if they are actively looking for treatment options beyond standard care. We will know this is true when we see 60%+ of surveyed patients confirm that finding clinical trials is a top-3 pain point and a 5%+ landing page signup rate.

Risk Level: 🔴 Critical (product fails if wrong)

Current Evidence: Forum discussions, search volume, competitor traction.

Experiment Design: Customer discovery interviews + landing page test.

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.

Experiment Catalog

Experiment Hypothesis Method Metrics Success Criteria
Discovery Interviews #1 (Problem Existence) Semi-structured interviews with target users % confirming problem as top-3 pain, Frequency of problem occurrence
  • ✅ Pass: 60%+ confirm problem as significant
  • ⚠️ Re-evaluate: 40-60% confirmation
  • ❌ Fail: <40% confirmation
Landing Page Smoke Test #1 (Problem Existence) + #2 (Solution Interest) Landing page with waitlist signup Signup rate by variant, Time on page, Scroll depth
  • ✅ Pass: >5% signup rate
  • ⚠️ Re-evaluate: 2-5% signup rate
  • ❌ Fail: <2% signup rate
Wizard of Oz MVP #2 (Solution Fit) + #3 (Willingness to Pay) Manually deliver the service using AI + human judgment User satisfaction (1-10 rating), % willing to pay after seeing output
  • ✅ Pass: 8+/10 avg satisfaction, 50%+ would pay
  • ⚠️ Re-evaluate: 6-8/10 satisfaction
  • ❌ Fail: <6/10 satisfaction, <30% would pay

Experiment Prioritization Matrix

Experiment Hypothesis Impact Effort Risk if Skipped Priority
Discovery Interviews #1 🔴 Critical Medium Fail 1
Landing Page Test #1, #2 🔴 Critical Low Fail 2
Wizard of Oz MVP #2, #3 🔴 Critical High Fail 3
Pricing Survey #3 🟡 High Low Suboptimal pricing 4

8-Week Validation Sprint

Week 1-2: Problem Validation

Day Activity Owner Deliverable
D1-D3 Launch landing page Live page + analytics
D1-D7 Recruit interview participants 20 scheduled calls
D4-D14 Conduct interviews 20 completed, transcribed
D8-D14 Run landing page ads ($500) 1,000+ visitors

Minimum Success Criteria (Go/No-Go)

Category Metric Must Achieve Nice-to-Have
Problem Interview confirmation 60%+ 80%+
Problem Landing page signup 5%+ 10%+
Solution Prototype satisfaction 7/10+ 8.5/10+
Pricing Willingness to pay at $X 50%+ 70%+
Overall Hypotheses validated 3/5 critical 5/5 critical

Pivot Triggers & Contingency Plans

Trigger #1: Problem Doesn't Exist

Signal: < 40% of users confirm problem

Action: Interview users about their actual top problems, identify adjacent pain points

Pivot Options: Different problem in same audience, same problem in different audience

Trigger #2: Solution Doesn't Resonate

Signal: < 50% satisfaction with prototype

Action: Deep-dive on what's missing, what's confusing, what's not valuable

Pivot Options: Simplify scope, change format, add human touch

Trigger #3: Won't Pay Enough

Signal: Acceptable price is <50% of target

Action: Find higher-value use case, different segment, or reduce costs

Pivot Options: Freemium with upsell, enterprise pivot, cost optimization

Trigger #4: Can't Acquire Efficiently

Signal: CAC >3x target in all channel tests

Action: Test organic/viral channels, reconsider pricing model

Pivot Options: Product-led growth, community-first, partnership distribution

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