MedMinder Pro - Medication Adherence Coach

Model: qwen/qwen3-max
Status: Completed
Cost: $0.457
Tokens: 121,237
Started: 2026-01-05 14:38

Validation Experiments & Hypotheses

Critical Hypotheses

Hypothesis #1: Problem Existence 🔴 Critical

We believe that adults 50+ managing 3+ daily medications will actively seek better adherence solutions if they experience frequent missed doses due to complex regimens, side effects, or cost barriers We will know this is true when 65%+ of surveyed patients confirm adherence as a top-3 health concern AND 7%+ landing page conversion rate

Risk Level: 🔴 Critical | Current Evidence: Supporting: $300B annual cost data, 80% app abandonment rates | Gaps: Direct patient interviews needed

Hypothesis #2: Solution Fit 🔴 Critical

We believe that patients struggling with medication adherence will prefer an AI-powered coach that addresses root causes over basic reminder apps if it provides personalized interventions for their specific barriers (cost, side effects, complexity) We will know this is true when 70%+ of prototype users rate the intervention suggestions as "relevant" or "highly relevant"

Risk Level: 🔴 Critical | Current Evidence: Supporting: Competitor limitations documented | Gaps: Solution preference testing needed

Hypothesis #3: Willingness to Pay 🔴 Critical

We believe that adult children managing parents' medications will pay $4.99/month for MedMinder Pro if it reduces their anxiety about missed doses and provides actionable insights We will know this is true when 15+ pre-orders are collected at target price point

Risk Level: 🔴 Critical | Current Evidence: Supporting: Caregiver stress documented in literature | Gaps: Price sensitivity testing needed

Hypothesis #4: B2B Value Proposition 🔴 Critical

We believe that health plans managing high-risk populations will license MedMinder Pro at $2-5 PMPM if we demonstrate potential to reduce ER visits and hospitalizations through improved adherence We will know this is true when 3+ health plan pilot commitments are secured

Risk Level: 🔴 Critical | Current Evidence: Supporting: Value-based care incentives | Gaps: Direct health plan feedback needed

Hypothesis #5: Caregiver Engagement 🟡 High

We believe that adult children of elderly patients will actively use remote monitoring features if they receive timely, actionable alerts about missed doses We will know this is true when 50%+ of caregiver accounts have weekly active usage

Risk Level: 🟡 High | Current Evidence: Supporting: Family caregiving trends | Gaps: Caregiver behavior patterns unknown

Hypothesis #6: Pharmacy Integration Value 🟡 High

We believe that patients managing chronic conditions will use pharmacy price comparison and refill features if it saves them $20+ monthly on medications We will know this is true when 40%+ of users engage with pharmacy features monthly

Risk Level: 🟡 High | Current Evidence: Supporting: Prescription cost burden data | Gaps: Feature utility validation needed

Hypothesis #7: Root Cause Identification 🟡 High

We believe that patients will consistently provide reasons for missed doses if the process takes <15 seconds and provides immediate value We will know this is true when 60%+ of missed dose events include reason capture

Risk Level: 🟡 High | Current Evidence: Supporting: Behavioral economics principles | Gaps: User behavior in context unknown

Hypothesis #8: Channel Efficiency 🟢 Medium

We believe that adult children caregivers will discover MedMinder Pro through Facebook groups and Reddit communities if we provide valuable content about medication management We will know this is true when CAC is <$30 through these channels

Risk Level: 🟢 Medium | Current Evidence: Supporting: Online caregiver community activity | Gaps: Channel performance data needed

Experiment Catalog

Experiment #1: Problem Discovery Interviews

Hypothesis: #1

Method: 30 semi-structured interviews with target patients

Success: 65%+ confirm adherence as top-3 concern

Cost: $1,500 | Timeline: 2 weeks

Experiment #2: Landing Page Smoke Test

Hypothesis: #1, #2

Method: Landing page with waitlist + targeted ads

Success: >7% conversion rate

Cost: $800 | Timeline: 2 weeks

Experiment #3: Wizard of Oz MVP

Hypothesis: #2, #3

Method: Manual delivery of AI-powered analysis

Success: 70%+ find interventions relevant

Cost: $200 | Timeline: 4 weeks

Experiment #4: Pricing Survey

Hypothesis: #3

Method: Van Westendorp price sensitivity testing

Success: Optimal price point identified

Cost: $300 | Timeline: 1 week

Experiment #5: Health Plan Outreach

Hypothesis: #4

Method: Pilot proposal to 10 regional health plans

Success: 3+ pilot commitments

Cost: $0 | Timeline: 6 weeks

Experiment #6: Pre-Order Test

Hypothesis: #3

Method: Collect payments before full build

Success: 15+ pre-orders at $4.99/month

Cost: $200 | Timeline: 3 weeks

Experiment Prioritization Matrix

Experiment Hypothesis Impact Effort Priority
Discovery Interviews #1 🔴 Critical Medium 1
Landing Page Test #1, #2 🔴 Critical Low 2
Wizard of Oz MVP #2, #3 🔴 Critical High 3
Health Plan Outreach #4 🔴 Critical Medium 4
Pricing Survey #3 🟡 High Low 5

8-Week Validation Sprint

Week 1-2: Problem Validation
  • Launch landing page with waitlist
  • Recruit 30 interview participants
  • Conduct discovery interviews
  • Run targeted Facebook/Google ads
Week 3-4: Solution Validation
  • Analyze interview insights
  • Build Wizard of Oz workflow
  • Deliver to 20 early users
  • Collect feedback and satisfaction scores
Week 5-6: Pricing & B2B
  • Run pricing sensitivity survey
  • Launch pre-order campaign
  • Outreach to health plans
  • Test pharmacy integration value
Week 7-8: Synthesis
  • Compile all experiment results
  • Make Go/No-Go decision
  • Define MVP scope or pivot plan
  • Prepare for seed funding round

Minimum Success Criteria (Go/No-Go)

Category Metric Must Achieve Nice-to-Have
Problem Interview confirmation 65%+ 80%+
Problem Landing page conversion 7%+ 12%+
Solution Intervention relevance 70%+ 85%+
Pricing Pre-orders collected 15+ 30+
B2B Health plan commitments 3+ 5+

Go Decision: All "Must Achieve" criteria met

Conditional Go: 70% of criteria met with clear path to remainder

No-Go Decision: <70% of criteria met with no clear fixes

Pivot Triggers & Contingency Plans

Trigger #1: Problem Doesn't Exist

Signal: <50% confirm adherence as significant concern

Action: Interview about actual medication management challenges

Pivot: Focus on refill logistics or cost optimization only

Trigger #2: Solution Doesn't Resonate

Signal: <50% find interventions relevant

Action: Deep-dive on missing elements and user expectations

Pivot: Simplify to cost-focused or caregiver-only solution

Trigger #3: Won't Pay Enough

Signal: Acceptable price <$2.99/month

Action: Test B2B2C model with pharmacy partnerships

Pivot: Freemium with pharmacy referral revenue

Trigger #4: B2B Resistance

Signal: Zero health plan pilot commitments

Action: Partner with pharmacy chains for distribution

Pivot: Focus on DTC with pharmacy partnership revenue