Section 06: Validation Experiments & Hypotheses
Transforming assumptions into actionable data for MedMinder Pro.
1. Hypothesis Framework
Hypothesis #1: The "Why" Gap
🔴 Critical RiskWe will know this is true when we see 60%+ of surveyed users identify "forgetting" as a secondary issue to "side effects" or "logistics" AND 40%+ click on a "Find out why you missed this" button in a prototype.
✅ High industry churn (80%) suggests current reminder-only solutions fail.
⚠️ Anecdotal evidence suggests patients prefer "forgetting" over admitting side effects.
Method: Problem Discovery Interviews + "Fake Door" Prototype
Sample: 30 interviews, 500 prototype clicks
Duration: 2 weeks
| Metric | Fail | Minimum | Success |
|---|---|---|---|
| Root Cause Interest | <20% | 20-40% | >40% |
| "Why" Feature CTR | <10% | 10-25% | >25% |
Hypothesis #2: Caregiver Peace of Mind
🔴 Critical RiskWe will know this is true when we see 50%+ of surveyed caregivers express willingness to pay $5/mo specifically for "silence/peace of mind" (knowing meds were taken without calling).
✅ "Sandwich generation" is highly stressed.
❓ Privacy concerns between parent/child are high.
Method: Caregiver-specific Landing Page Test
Sample: 1,000 visitors via FB/Google Ads
Duration: 2 weeks
Hypothesis #3: Willingness to Pay (B2C)
🟡 High RiskWe will know this is true when we see 10%+ of free users convert to a paid trial after receiving a "Money Saved" report.
Hypothesis #4: Pharmacy Data Trust
🟡 High RiskWe will know this is true when we see 30%+ of users complete a pharmacy connection flow in a prototype environment.
2. Experiment Catalog
Prioritized tests designed to validate the critical path assumptions.
Exp 1: "Mom Test" Interviews
Tests: H1 (Problem)
Method: 30-minute interviews with 20 adults 50+ on 3+ meds. Ask about last time they missed a dose. Do not mention the solution.
Time: 2 Weeks
Success: 60% cite non-forgetfulness reasons (cost/side effects) as primary barrier.
Exp 2: Landing Page Smoke Test
Tests: H1, H2 (Interest)
Method: Run Google Ads (Search: "medication reminder app") to a landing page highlighting "Find out WHY you miss doses" vs standard "Never forget a pill".
Time: 2 Weeks
Success: >3.5% conversion rate on "Why" variant vs baseline.
Exp 3: Wizard of Oz Coupon Finder
Tests: H3 (Value/Pricing)
Method: Users enter medication name. Backend (human/manual search) returns 1-2 cost-saving options (generic/coupon) after 24 hours.
Time: 3 Weeks
Success: 80% report savings as "High Value"; 40% ask for "more features like this".
Exp 4: Concierge SMS "Snooze"
Tests: H1 (Behavior)
Method: Manually send SMS reminders to 15 users for 1 week. Include "Snooze" buttons with tags: "Side Effects", "Cost", "Busy".
Time: 2 Weeks
Success: >50% of snoozes utilize a specific reason tag (not just ignore).
3. Experiment Prioritization Matrix
| Experiment | Hypothesis | Impact | Effort | Priority |
|---|---|---|---|---|
| Problem Interviews | H1 | 🔴 Critical | Medium | #1 |
| Concierge SMS Snooze | H1 | 🔴 Critical | Low | #2 |
| Landing Page Test | H1, H2 | 🟡 High | Low | #3 |
| Wizard of Oz Coupons | H3 | 🟡 High | Medium | #4 |
| Pharmacy Connection Prototype | H4 | 🟢 Medium | High | #5 |
4. 8-Week Validation Sprint
Phase 1: Problem & Behavior (Wk 1-3)
Phase 2: Solution & Value (Wk 4-6)
5. Minimum Success Criteria (Go/No-Go)
The Decision Framework
If <40%, pivot to pure reminder app.
If <20%, users ignore complexity; simplify.
Must exceed $4.99 subscription cost target.
❌ NO-GO Condition: All criteria missed by significant margin (>30% gap).
6. Pivot Triggers & Contingencies
| Trigger Signal | Action | Pivot Path |
|---|---|---|
| "It's too much work" >70% say they don't want to input reasons. |
Analyze friction points. Is it the UI or the concept? | Passive Coach: Move from active input to passive AI inference (detect missed refill patterns instead of asking). |
| "I trust my doctor" Users reject AI suggestions for alternatives. |
Reframe AI as "Assistant for Doctor" not "Replacement". | Provider Tool: Pivot B2B. Sell dashboard to doctors/pharmacists to manage patients, removing patient-side AI burden. |
| Low CTR on Ads <1.5% on search terms. |
Test different channels (Facebook groups, offline flyers in pharmacies). | Demographic Shift: Target younger chronic patients (30-40s) or caregivers exclusively if seniors unreachable via web. |