User Research & Validation Plan
Key Assumptions to Validate
| Assumption | Risk | Method | Target |
|---|---|---|---|
| Adults 50+ managing 3+ daily medications experience adherence challenges weekly | High | Interviews, surveys | ≥80% confirm weekly adherence issues |
| Current pill reminder apps are abandoned due to lack of personalization | High | Competitive analysis + user interviews | Documented abandonment reasons from ≥15 users |
| Root causes (cost, side effects, complexity) vary significantly between patients | Medium | Interviews, behavioral observation | ≥4 distinct root cause patterns identified |
| Adult children actively manage parents' medications remotely | Medium | Interviews with adult children | ≥60% report weekly medication management involvement |
| AI-generated adherence insights will be perceived as helpful, not intrusive | High | Prototype testing with experts | 80%+ accuracy and helpfulness rating |
| Users will consistently capture "reason for snooze" when missing doses | Critical | Wizard of Oz testing | ≥70% provide reason when snoozing |
| Health plans will pay $2-5 PMPM for adherence improvement | Critical | Pricing interviews with health plan execs | 3+ health plans express willingness to pilot at target price |
| Consumer users will pay $4.99/month for premium features | High | Pre-order tests, pricing surveys | 10+ paying customers at target price |
| CAC for consumer acquisition will be <$30 | Medium | Ad tests on Facebook/Google | Proven CAC <$30 in test campaigns |
Customer Discovery Interview Guide
Part 1: Background & Context (10 min)
- Tell me about your role and what you do day-to-day
- How long have you been managing medications (for yourself or family)?
- What are your biggest challenges with medication management right now?
Part 2: Problem Exploration (20 min)
- Walk me through the last time you (or your parent) missed a dose
- How often does this happen weekly?
- What triggers missed doses?
- How does it make you feel when doses are missed?
- What's the worst consequence you've experienced?
- What have you tried to solve adherence issues?
- How much time/money do you spend managing medications?
Part 3: Current Solutions (15 min)
- What tools or methods do you currently use?
- What do you like about them?
- What do you wish was different?
- Have you ever switched solutions? Why?
- What would make you switch again?
Part 4: Solution Exploration (15 min)
- If I told you there was a tool that understands WHY doses are missed and provides personalized help...
- What would be most valuable about that?
- What concerns would you have about AI analyzing your medication patterns?
- What would it need to have for you to try it?
- How much would you expect to pay for something like this?
- Who else would need to approve this purchase (for adult children)?
Part 5: Wrap-up (10 min)
- On a scale of 1-10, how painful is medication management for you?
- Would you be interested in being a beta tester?
- Who else should I talk to about this?
Logistics: Target 25+ interviews (60% patients 50+, 30% adult children, 10% care coordinators) | $50 gift card incentive | Record with permission
8-Week Validation Timeline
Weeks 1-2: Problem Validation
- Conduct 15 customer discovery interviews
- Send screening survey (target 250+ responses)
- Analyze transcripts for root cause patterns
- Document validated assumptions
Weeks 3-4: Solution Validation
- Create landing page with value proposition
- Run A/B test with $600 ad spend
- Launch waitlist (target 120+ signups)
- Test messaging variations
Weeks 5-6: Willingness to Pay
- Conduct 8 pricing interviews with health plans
- Run Van Westendorp pricing survey
- Test fake door with pricing tiers
- Attempt 10 pre-orders at $4.99
Weeks 7-8: Prototype Validation
- Build Wizard of Oz MVP
- Deliver to 15 early users
- Collect NPS and qualitative feedback
- Iterate on core value proposition
Go/No-Go Decision Criteria
Key Validation Experiments
Landing Page Test
Headlines: "AI-powered medication coach" vs "Stop missing doses for good"
Success: >5% signup rate
Wizard of Oz MVP
Manual AI analysis delivered via email after user inputs medication data
Success: 70%+ reason capture rate
Pre-Order Test
$4.99/month with 30-day money-back guarantee
Success: 10+ paying customers